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Remote Network Monitoring Specialist - Streaming Telemetry Salary: £70,000 - £75,000 Location: Remote Contract: 6-month FTC Role Overview: Our client is looking for an experienced Network Monitoring Specialist to support a major network infrastructure rollout on a 6-month fixed-term basis. This is a hands-on role focused on designing, implementing and commissioning monitoring capability across newly deployed network and fibre infrastructure. The priority is to ensure the environment is fully visible, measurable and supportable from day one. The role would suit someone with strong experience across network observability, alerting, telemetry, dashboards, service health, performance baselining and operational handover. The client is open to different monitoring backgrounds, particularly where candidates have worked with tools such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, Telegraf, SolarWinds, PRTG, Datadog, Elastic, OpenTelemetry, SNMP, NetFlow/IPFIX or syslog pipelines. You will work closely with network engineering and operational teams to deliver reliable monitoring at pace within a project-led environment. Key Responsibilities: • Design and deploy monitoring solutions across newly delivered network infrastructure., • Build monitoring capability that provides clear visibility of network health, performance and service availability., • Work with monitoring and observability platforms such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, SolarWinds, PRTG, Datadog, Elastic or similar., • Support metrics ingestion, retention, alerting, dashboarding and performance visibility., • Build or support streaming telemetry pipelines to provide real-time visibility across the network., • Implement and refine alerting workflows for service health, escalation and operational response., • Develop dashboards and reporting views to support engineering and operational teams., • Commission monitoring across network devices, access infrastructure and Layer 1-3 equipment., • Define baseline performance metrics, thresholds and SLA-led alerting., • Work closely with network and operational teams to align monitoring with changing infrastructure requirements., • Support analytics-led monitoring for anomaly detection and predictive fault identification where relevant., • Improve monitoring architecture, tooling, documentation and handover processes., • Produce clear runbooks, escalation paths and operational guides., • Support knowledge transfer into internal technical teams. What We're Looking For: • Previous experience in a senior network monitoring, network engineering or observability-focused role., • Experience working in a telecoms, ISP, managed network or large-scale infrastructure environment., • Strong understanding of network monitoring principles, including alerting, telemetry, dashboards, service health and performance baselining., • Hands-on experience with monitoring or observability tools such as VictoriaMetrics, Prometheus, Grafana, Nagios, Zabbix, InfluxDB, Telegraf, SolarWinds, PRTG, Datadog, Elastic, OpenTelemetry or similar., • Experience with network data sources and protocols such as streaming telemetry, gNMI, gRPC, SNMP, NetFlow/IPFIX or syslog., • Good understanding of time-series monitoring, metrics ingestion, retention and performance visibility., • Strong networking fundamentals across TCP/IP, BGP, OSPF, VLANs and optical or fibre environments., • Familiarity with dashboarding, alert tuning, service health monitoring and operational reporting., • Exposure to AI/ML-led monitoring, anomaly detection or predictive fault identification would be beneficial., • Scripting or automation experience, such as Python or Bash, would be advantageous., • Comfortable working independently and delivering against defined project milestones., • Strong communication, documentation and stakeholder engagement skills., • Proactive, detail-focused and comfortable solving problems without heavy direction. Why Consider This Role? This is a strong opportunity to join a business delivering a major network infrastructure programme, in a role where monitoring and observability are central to successful delivery. You will be taking ownership of a critical technical area rather than simply maintaining an existing setup. The focus is on making sure newly deployed infrastructure is properly monitored, operationally ready and reliable from day one. For someone with strong network monitoring experience, this offers a focused 6-month project where you can make a visible impact across a live network environment, using a range of modern monitoring, telemetry and observability technologies. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Senior Manager - Data Architect (Investment & Wealth) - Up to £95,000 Location: London or Edinburgh (Hybrid) Overview A leading global consulting organisation is seeking a Senior Manager - Data Architect to join its Technology & Transformation practice, specialising in Investment Management and Wealth. This is a senior client-facing role for an experienced data leader who is passionate about modern data architecture, investment data, and driving large-scale transformation. You will work closely with senior stakeholders, lead high-performing teams, and help shape data strategies that improve operating models, enable better decision-making, and deliver measurable business outcomes. Key Responsibilities: • Lead the design and delivery of enterprise data strategies and data architecture for complex investment and wealth clients, • Manage multi-disciplinary teams delivering assessments, target-state architectures, and transformation roadmaps, • Identify inefficiencies in existing data architectures and define pragmatic, scalable improvements, • Shape and deliver operating model and data transformation initiatives, from strategy through to implementation, • Lead client workshops to define requirements, design data models, and agree architectural principles, • Engage confidently with C-level and senior stakeholders, translating complex data concepts into clear business value, • Stay close to emerging data technologies and industry trends, applying them to real client challenges Required Experience: • Strong background in data architecture and data solution design within consulting or large enterprise environments, • Deep understanding of data management concepts including:, • Data modelling (conceptual, logical, physical), • Data quality, master & reference data, • Analytics, reporting, and self-service BI, • Experience defining data standards, taxonomies, vocabularies, and a "common language for data", • Proven leadership experience managing delivery teams and developing junior talent, • Strong industry experience within Investment Management and/or Wealth, e.g.:, • Asset & wealth management products, • Trading, portfolio management, risk, pricing, ESG, market data Why Join? • Work on high-impact data transformation programmes for leading financial services organisations, • Operate at the intersection of strategy, architecture, and delivery, • Be part of a collaborative, inclusive environment that values expertise, innovation, and leadership, • Clear progression, strong investment in personal development, and exposure to senior decision-makers, • Flexible hybrid working model with a strong focus on wellbeing and career sustainability

. Senior Data Modeller - Banking (Contract) Location: Glasgow (Hybrid - 2 days onsite per week)Start Date: ImmediateDuration: Initial 6 months (extension likely)Sector: Investment Banking Engagement Context Our client, a leading consultancy delivering strategic data transformation across the banking sector, is seeking a Senior Data Modeller to support a high-impact programme focused on post-bind insurance data. The successful candidate will play a critical role in designing scalable, compliant data models that underpin operational reporting, financial reconciliation, and regulatory alignment across multiple specialty lines. Key Responsibilities Lead the design and delivery of conceptual, logical, and physical data models across post-bind domainsCollaborate with data architects, business analysts, and actuarial teams to translate complex business requirements into structured data assetsApply Data Vault 2.0 methodology to support auditability, scalability, and lineage trackingModel data for ingestion into Snowflake, ensuring compatibility with cloud-native architecture and downstream analyticsEnsure models support reconciliation of premium and claims, aged debt tracking, reserve movements, and regulatory reportingDocument metadata, data dictionaries, and lineage to support governance and complianceEngage with stakeholders across finance, operations, and claims to validate model assumptions and ensure business alignmentRequired Experience & Skills Extensive experience as a Data Modeller within the FS Market, with demonstrable expertise in dataProficiency in Data Vault 2.0 and dimensional modelling techniquesHands-on experience with Snowflake and cloud-based data platformsAbility to model across multiple specialty lines (e.g., marine, aviation, cyber)Strong stakeholder engagement and documentation skills Clear documentation and stakeholder alignment across finance, operations, and actuarial domainsSeamless integration of models into Snowflake and downstream analytics pipelinesContribution to a broader data transformation programme with measurable impact on operational efficiency and regulatory compliance

Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Data Analyst - £67,500, • Data Analytics Analyst - £80,000 The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Role Title: Data Business Analyst Location: Glasgow Duration: 31/12/2026 Work setup: 2 days onsite/week Rate to SSC (including supplier charge): £480 Pay Rate: £420 Inside IR35 MUST BE PAYE THROUGH UMBRELLA The Data / Business Analyst will work closely with business stakeholders, technology teams, and operations to deliver data driven insights and business requirements for case management and CRM solutions. The role focuses on optimizing customer, sales, and service processes using CRM platforms, with exposure to Salesforce, while ensuring alignment with Barclays’ governance, risk, and compliance standards. This role is suitable for a hands on analyst who can bridge business needs and technical delivery, particularly in environments involving customer cases, workflows, reporting, and CRM driven analytics. Key Accountabilities • Elicit, analyze, and document business requirements for CRM and case management solutions, • Analyze and optimize case lifecycle workflows, SLAs, and operational processes, • Perform data analysis and reporting to generate insights on customer, sales, and service performance, • Partner with business, technology, and QA teams to support Agile delivery and UAT, • Support CRM platforms (including Salesforce) for enhancements, reporting, and adoption, • Ensure solutions comply with risk, control, and regulatory standards within Barclays Essential Skills & Experience • Strong experience as a Business Analyst / Data Analyst in enterprise environments, • Proven exposure to CRM or case management systems, • Solid analytical skills with hands on experience in data analysis and reporting, • Working knowledge of Salesforce (cases, reports, dashboards, or UAT support), • Experience operating in Agile/Scrum delivery models with relevant tools, • Excellent stakeholder communication, documentation, and problem solving skills

Compensation £40,000 - £70,000 Base + Benefits TL;DR • Senior or engineer level full-stack software engineer role, • Fast growing data and AI startup specialising in the energy sector, based in the UK, • Hybrid/remote available must be UK based, Glasgow or Edinburgh preferred, • Must have Javascript, React, Python, and cloud experience, • No visa sponsorship available currently, • Experience working in a product team is a bonus, • Experience working in Energy is a bonus, • Immediate start is desirable Who are we? Hypercube is building Cairn, the leading technology platform for the energy sector, specialising in cutting-edge cloud and AI solutions. We're building a world-class team of experts with deep domain knowledge in all things energy. Role purpose First of all - we're adaptable and interested in a mix of people to make the best team. We're currently looking for someone that has a lot of front-end experience but is comfortable building in the back-end too. Work with our expert data and AI team to build Cairn and help our users deliver more value from their data.This will be a key role in the technical and delivery teams and will guide the ongoing technology strategy and roadmap goals of the product. Day-to-day work will involve product delivery and collaborating with stakeholders across our internal teams and our design partners. Technical work will include building, testing, deploying, maintaining, packaging, and explaining software solutions - built with modern tools across the open source and cloud platform landscape. You'll have to get stuck into the end-to-end software development workflow - everything from requirements gathering to deploying front-end solutions. You'll spend time capturing requirements and working with the rest of the team to turn them into production-grade solutions - getting value into production is our prime concern. You will act as a champion and subject matter expert for software engineering across the business, helping to cross-skill and upskill others. You will also be heavily involved in the outreach and knowledge sharing that Hypercube does. We strongly believe that giving back to the community is an important part of our purpose and the best way to learn. We will help you grow your brand through speaking, blogging, or other outreach methods should you wish. Finally, you'll be in the driving seat to help shape the product, whether that be through demos, meeting with prospective users, or shaping longer-term relationships with design partners and customers. Accountabilities • Work with developers, managers, and business stakeholders to understand and define components of the technology landscape and how it relates to the business strategy, • Understand and translate end-user requirements into designs and delivery plans for effective back-end and front-end software, • Leverage open source and cloud platform technologies to deliver robust solutions, • Design, develop, execute, and maintain software solutions and front-end web applications for Cairn, • Discover, analyse, and present findings to users and stakeholders, • Build, maintain, and support our wider data platform, machine learning and AI solutions using the latest best practices in DevOps and CI/CD, • Produce high-quality communications, documentation, and presentations of solutions for colleagues and users, • Subject matter expert and evangelist for software engineering practices, • Contribution to Hypercube's blog and other outreach efforts, • Working with the team to shape Cairn and win new customers, • Helping to grow both our internal knowledge and skillsets as we scale. Technical skills We understand that this list is extensive – please apply if you fit some or only part of it we're flexible and are mostly looking for bright people who can adapt as the role grows. We want to see the broadest range of possible candidates from a diverse mix of backgrounds. Technical skills are only part of the equation. Ideally, you will have hands-on experience with the following in a previous role: • Working with stakeholders in interviews to create designs and user stories for solutions, • Javascript/Typescript, • React, • Python, • SQL, • Cloud platform experience (AWS, Azure, GCP), • CI/CD, DevOps, • Testing Additional experience with the following would be beneficial but not essential: • Java, • Infrastructure, Docker, Kubernetes and container services, • Containers and related services (AKS, Container Registry) Other desirable skills and experience: • Ability to act as a driving force in a growing data and AI startup, • Building projects or sharing knowledge in public – whether that be contributing to open source, blogging, YouTube, content creation, speaking at events, or similar., • Strong stakeholder management, • Experience translating difficult business questions and designs of data solutions into action, • Analysis/requirements gathering, solution design, and implementation of data science solutions, • Experience in collaborating in multi-disciplinary teams, including software engineers, DevOps and infrastructure teams, data scientists etc., • Experience in working with AI and advanced analytics systems and data pipelines in a production cloud environment, • Exceptional communication skills, both written and verbal – able to translate complex technical subject matter into easily understood presentations and written documentation for mixed technical audiences. What's in it for you? Hypercube is a young, growing data and AI startup that aims to bring in the best possible talent to solve the most interesting challenges in the energy sector. We're willing to do what it takes to secure the best possible people. We want to build a world-class team. You'll be one of the earliest hires for our organisation and, therefore, will have a huge impact on the culture and how it is shaped. You'll have the chance to influence decisions in a fast-paced start-up and grow with the organisation. You'll have direct access to our existing team of experienced data and analytics leaders and their wider network. You'll also be helped to grow your own brand as you contribute to the outward-facing aspects of this business. Benefits • Pension, • Performance related bonus, • Cycle to work scheme, • Flexible working, • Events and community, • Private health insurance, • Health cash plan, • EV leasing scheme, • Training and events budget, • Mentorship programmes IMPORTANT!! Hypercube is committed to creating a diverse and inclusive employee environment which is as representative as possible of our society. All qualified applicants will receive consideration for employment without regard to age, disability, gender reassignment, marriage and civil partnership, pregnancy/maternity, race, nationality, religion or belief, gender, and sexual orientation. Finally, we would consider part-time, condensed hours, job-share, and other flexible arrangements to secure the absolute best people. If in doubt, please ask, and we'll see how to make it work.

We are looking for a Spacecraft Software Engineer (GNSS) to join our team working at the intersection of satellite payloads, scientific computing, and data delivery systems. In this role, you'll be responsible for developing and maintaining both the flight and ground software that powers our satellite-based GNSS missions. You’ll work across system layers—from embedded software to cloud data pipelines—to help ensure the accurate and timely delivery of mission-critical scientific data to our customers. This is a high-impact role where autonomy, creativity, and technical breadth are key. What You'll Do as a Senior Software Engineer: • Develop and maintain scientific and command & control software for GNSS-based satellite payloads using a variety of software stacks., • Build and operate ground-based automation systems for efficient data extraction, transformation, and delivery from the satellite to end users., • Collaborate closely with flight operations to troubleshoot and ensure consistent, high-quality data delivery., • Engage with other system engineers, payload developers, and mission operators to continuously evolve the software in support of scientific objectives. We're looking for someone with at least 5 of the following qualifications: • Proficient in at least one of C++ or Python, and capable of picking up new tools and languages as needed., • Experience in FPGA development (VHDL or HLS) for signal processing or control systems., • Solid background in DSP techniques and theory, especially in the context of RF or GNSS., • Familiarity with GNSS signal processing and/or scientific applications such as GNSS-RO, GNSS-R, or PNT algorithms., • Skilled in cloud-based systems (e.g., AWS), backend development, and managing data via scalable storage/database solutions., • A lifelong learner—curious, adaptable, and open to new challenges outside your immediate expertise., • Demonstrates strong work ethics and a focus on impactful contributions to the mission and team., • Capable of independently navigating technical challenges and making forward progress without constant direction. Preferred Skills: • Prior experience working on satellite payloads or in the aerospace domain., • Experience building telemetry and data visualization tools., • Contribution to open-source scientific or aerospace-related software projects. Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office. Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. Global Perks 🛰️ Name Your Satellite Program (NYSP) 🚀 Launch Attendance 🌴 Generous Time Off Policy 🎓 Education Assistance Program 🥰 Employee Assistance Program (EAP) 📈 Employee Stock Purchase Program (ESPP) 👣 Family Leave 💪 Fitness Reimbursement 🧡 Employee Referral Program 🍉 Healthy snacks & beverages in every office About Spire We improve life on Earth with data from space. Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth. Spire is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status. To help maintain a safe and secure workplace for Spire employees, all candidates who receive a conditional offer will be required to complete a background check. This may include criminal history and employment verification. Please take a moment to review ___, as well as ___ Kindly be advised that communication regarding your application may come from @spire.com, @recruiting.spire.com, or from Candidate.fyi (our scheduling tool).

Senior Spacecraft Software Engineer Glasgow, UK - Hybrid £85,000 - £100,000 Depending on experience & Qualifications We are proud to be supporting a world-leading space-to-cloud analytics company in their search for a Senior Spacecraft Software Engineer. Because this engagement is sensitive, we'll share the client's name with candidates at the shortlisting stage. The Opportunity Our client owns and operates one of the world's largest multi-purpose satellite constellations, delivering advanced maritime, aviation, and weather tracking globally. Their infrastructure spans a proprietary satellite constellation, a global ground station network, and 24/7 operations providing real-time coverage of every point on Earth. This role sits at the intersection of satellite payloads, scientific computing, and data delivery systems. You will be responsible for developing and maintaining both the flight and ground software that powers GNSS-based satellite missions, working across system layers from embedded software through to mission data pipelines. It is a high-impact, high-autonomy position where technical breadth and ownership are essential. Key Responsibilities Flight & Payload Software • Develop and maintain scientific and command & control software for GNSS-based satellite payloads, • Work across embedded system layers to ensure accurate and timely scientific data output, • Engage with payload developers and mission operators to evolve software in support of scientific objectives Ground Systems & Data Delivery • Build and operate ground-based automation systems for data extraction, transformation, and delivery, • Collaborate with flight operations to troubleshoot and ensure consistent, high-quality data delivery, • Participate in code reviews, testing, and documentation to maintain software reliability and traceability What We're Looking For Our client is seeking a Senior Spacecraft Software Engineer with deep technical foundations in embedded systems and GNSS signal processing. You'll take strong ownership of your work and be comfortable operating independently across hardware and software boundaries. Core Requirements • Proficient in Embedded C/C++ for hardware development in constrained environments, • Solid background in DSP techniques and theory, particularly in the context of RF or GNSS signal processing, • Hands-on experience with GNSS signal processing algorithms and/or scientific applications such as GNSS-RO, GNSS-R, or PNT Desirable • Python proficiency and ability to pick up new tools and languages as needed, • Experience with cloud-based systems (e.g. AWS), backend development, and scalable data storage, • Prior experience working on satellite payloads or in the aerospace domain, • Experience building telemetry and data visualisation tools, • Contributions to open-source scientific or aerospace-related software projects Why This Role Stands Out • Work on a real, operational satellite constellation delivering mission-critical scientific data globally, • High autonomy from day one, design, build, and own your work end-to-end, • Join a technically exceptional team operating at the cutting edge of space and clean technology infrastructure, • Generous benefits including education assistance, stock purchase programme, fitness reimbursement, family leave, and more, • An opportunity to contribute to work that genuinely improves life on Earth Apply via Cleantech Talent This role is being managed exclusively by Cleantech Talent on behalf of our client. If you have the background and ambition to take on this challenge, we would love to hear from you. Please apply directly through LinkedIn or reach out to the Cleantech Talent team with your CV and a brief note on your interest and relevant experience. All applications are handled in strict confidence.

Compensation £40,000 – £70,000 base salary + performance-related bonus + benefits Performance-Related Bonus Great benefits (listed below) TL;DR • Role: AI Engineer (Agentic AI & LLM), • Level: Engineer or Senior, • Location: UK-based, fast-growing technology startup specialising in the energy sector, • Cloud Experience: Must have AWS or Azure (certifications desirable), • Management: No direct line management required, • Consultancy/Energy Experience: Highly beneficial, non-essential, • Visa Sponsorship: Not currently available; right to work and UK residency required, • Flexibility: Part-time, condensed hours, job-shares, and flexible arrangements considered, • Diversity & Inclusion: Extremely important—encouraging a broad mix of people from all backgrounds Who We Are Hypercube Consulting is a rapidly growing data and AI startup dedicated to transforming the energy sector through cutting-edge technology. Specialising in advanced AI systems, including Agentic AI workflows and large language models (LLMs), we help clients unlock profound value from their data assets. Join our expert team in shaping the future of AI-driven energy solutions. Role Purpose We are seeking an AI Engineer with hands-on experience in Agentic AI systems and Large Language Models to help design, develop, and deploy advanced AI solutions for our clients. You will collaborate closely with data engineering, analytics, and cloud teams to deliver transformative AI capabilities. As a senior hire in a growing organisation, your impact will be meaningful from day one. You will: • Engage clients to understand their challenges and help design Agentic AI and LLM-driven solutions., • Build and implement robust AI systems, including ML/LLM pipelines and agentic workflows., • Contribute to best practices in LLMOps, AI lifecycle management, and cloud-native AI infrastructure., • Share knowledge and support team development as we grow our AI engineering capability. Key Responsibilities Technical Delivery: • Act as a hands-on AI and LLM practitioner across client engagements and internal projects., • Design, build, and maintain scalable AI and LLM-based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations)., • Work with cross-functional teams (data engineers, data scientists, DevOps, stakeholders) to deliver client-focused AI solutions., • Apply and help refine best practices in LLMOps and Agentic AI (prompt engineering, evaluation, agent architectures, CI/CD)., • Support business development through demos, proof-of-concept work, and technical pre-sales activities., • Build strong client relationships and contribute to growing team capability over time. Technical Skills & Experience Please apply even if you meet only some criteria—we value potential alongside experience. Core Skills • Agentic AI & LLMs: Hands-on experience building and deploying large language models and agent-based AI workflows., • Cloud AI (AWS/Azure): Experience delivering AI or ML solutions in production cloud environments., • Python: Strong capability in developing production-quality AI/ML code., • LLMOps & AI Model Management: Familiarity with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms., • Data Processing: Working knowledge of Databricks/Spark or comparable large-scale data processing tools., • SQL: Solid capabilities in data querying and preparation., • Data Architectures: Understanding of modern data infrastructure (lakehouses, data lakes, vector databases). Additional (Nice-to-Have) Skills • Infrastructure as Code: Terraform or similar., • Containers & Kubernetes: Docker, EKS/AKS., • Streaming: Kafka, Kinesis, Event Hubs., • AWS or Azure certifications. Desirable Experience • Consulting or Energy sector experience., • Public profile (blogs, conferences, open source)., • Stakeholder engagement and requirements translation., • Integration with external or hybrid cloud systems., • Clear communication across diverse technical audiences. What's in It for You? • High Impact: Work on energy-sector AI solutions that directly influence client outcomes., • Career Growth: Senior mentorship, dedicated training budgets, and a clear pathway to Principal., • Flexible Environment: Open to various flexible working arrangements to suit your lifestyle., • Start-up Culture: Contribute to shaping our culture, processes, and technologies., • Personal Branding: Encouraged and supported in building your public professional profile. Benefits • Performance-Related Bonus, • Enhanced Pension, • Enhanced Maternity/Paternity, • Private Health Insurance, • Health Cash Plan, • Peer Cash Award Scheme, • Cycle-to-Work Scheme, • Flexible Remote/Hybrid Working, • Events & Community Participation, • EV Leasing Scheme, • Training & Events Budget, • Mentorship Programmes Diversity & Inclusion Hypercube is committed to creating an inclusive environment reflective of society. We actively encourage applications from all backgrounds and experiences. Ready to Apply? If this role excites you, please apply via our careers page or reach out directly—even if you meet some but not all criteria. We're excited to explore how your expertise can help transform data and AI in the energy sector! N.B. Visa sponsorship is currently not available.

Job Title: Business Analyst Duration: 6 months Location: Glasgow/ Perth Description: Background: Energy Markets (EM) is the commercial heart of the client Group, securing value for client's asset portfolios in wholesale energy markets as we move towards our vision of being a leading energy company in a net zero world. EM plays a critical role as the asset optimiser, route to market and risk management function for all client's Business Units (Wind, Hydro, Low Carbon Thermal, Distributed Energy and Customer portfolios). EM enables client to focus its expertise and capabilities in energy markets (including Trading, Risk Management, Energy Economics and Advanced Analytics) in one centre of excellence and, with these enhanced capabilities, support value creation and decision-making across the client Group. Your Role: As a Business / Product Analyst, you will play a crucial role in driving successful delivery of products within client. You will collaborate closely with cross-functional teams, utilizing agile methodologies to ensure delivery. Your analytical skills and understanding of the energy industry will be essential in capturing and documenting requirements and identifying opportunities for process improvement including optimizing outcomes. You will work closely with Product Owners and Delivery Leads to: • Experience in leading analysis engagements, capturing requirements in the most appropriate format(s) and translating business needs to actionable plans by a variety of methods including via sprint planning sessions across a diverse range of work ranging from business functional system changes to IT driven obsolescence upgrades., • Experience of Agile software development practices including Scrum and Kanban frameworks and running sprint planning, daily stand ups, retrospectives and show and tells utilising common tools like Azure DevOps / Jira / Confluence., • Outstanding coordination abilities, with a track record of collaborating with both internal and external stakeholders in both business and technical domains., • Professional knowledge of the energy sector, including key market trends and business drivers. Specific knowledge of trading practices within the energy industry would be advantageous., • Alongside the core Business / Product Analysis skill set listed above, this engagement will require the successful candidate to have experience of working on system migrations to the cloud and be able to demonstrate experience of conducting in-depth analysis to fully understand the overall architecture, integration points and data flows of systems.

Are you ready to own and scale a TikTok-led partnerships strategy that blends creators, affiliates and PR to drive real commercial impact? Do you thrive on turning cultural moments into high-performing content, live activations and measurable ROI? Can you lead agencies, creators and internal teams to build a powerful brand presence both online and offline? MacGregor Black is partnering with a high-growth consumer brand to appoint a Partnerships Manager. We're looking for an agile Partnerships Manager to play a fundamental role in shaping PR and content strategy. Working closely with the Head of Digital Growth, you'll be experienced in finding the right commercial mix of PR, creators and brand ambassadors to amplify brand reach. In this role, you will work alongside a TikTok agency, overseeing strategy, performance/ROI, affiliates, live content and operations, supported day-to-day by a Senior Social & Partnerships Executive who reports into you. Beyond creator communities, you'll also be adept in the fields of traditional PR and direct brand partnerships, with the confidence to spark, cultivate and manage business relationships both online and offline. Key Responsibilities: • Serve as TikTok platform manager and key account contact (supported by the Senior Social & Partnerships Executive), leading the strategy and its sustainable growth with the agency., • Drive a unified TikTok organic social presence that reinforces the brand mission, ensuring consistency across content, tone and audience engagement., • Lead and report on performance and success, providing regular insights and data-driven recommendations., • Work alongside the agency to manage TikTok affiliates, including commission structures and tier management, ensuring a commercially sound and scalable affiliate programme., • Own the TikTok Lives strategy, developing a structured approach to live content that drives engagement, reach and conversion., • Understand TikTok backend management (including account settings, analytics, campaign setup), with day-to-day execution handled by the Senior Social & Partnerships Executive., • Collaborate closely with the TikTok agency, aligning on cross-market strategy, content learnings and campaign activity., • Directly manage the Senior Social & Partnerships Executive, responsible for day-to-day organic social activity, customer service, campaigns and TikTok Ads., • Provide clear direction, creative briefs and performance targets, supporting their development and ensuring quality output., • Drive a collaborative and high-performing team environment, with the ability to delegate effectively while maintaining strategic oversight., • Ensure a unified social presence across all channels that reinforces brand positioning and delivers sustainable, long-term growth., • Develop and scale a first-class content creator strategy across all social channels, with a primary focus on the growth of TikTok affiliates., • Coordinate with the TikTok agency to maintain a data-driven and commercially mindful approach, with the ability to quickly pivot into trends and cultural moments, translating these into influencer-led creative concepts for organic and paid channels., • Work with the TikTok agency on end-to-end outreach, recruitment and management of content creators and influencers across all levels, from UGC to brand ambassadors, including contract negotiations, creative briefs and brand alignment., • Working closely with the Head of Digital Growth, cultivate direct creator relationships to support channel performance across Meta, TikTok and all D2C affiliate programmes, using a test-and-learn approach., • Scale and maintain a vibrant community of content creators via online and offline events and networking opportunities., • Lead and manage brand activations from concept through to execution, ensuring alignment with brand values and commercial objectives., • Identify and develop activation opportunities that build awareness, deepen engagement and create compelling content for social channels., • Collaborate cross-functionally to ensure activations are integrated into the wider marketing calendar and communication strategy., • Working with the Head of Digital Growth and the PR agency, coordinate the communication strategy and calendar, including online and offline media publications and creator networks., • Act as the primary point of contact for agency partners, coordinating BAU management of TikTok, including creator gifting, performance analysis, campaign support and organic content. What We're Looking For: • An agile and innately creative thinker with strong attention to detail and a delivery-focused mindset., • Experience with TikTok affiliates and a solid understanding of commercial performance metrics., • Minimum 3 years’ experience in social media, brand communications and/or PR, either brand or agency side., • Experience managing or mentoring junior team members, with a collaborative and empowering leadership style., • A confident communicator and relationship builder, with strong experience in agency management., • Able to work at pace and to deadlines with confidence., • Comfortable working both independently and as part of a team., • Due to the 24/7 nature of social media and international markets, flexibility to adapt working hours where required (averaging 35 hours per week)., • Must hold a valid passport for global travel when necessary (particularly the US). Nice to Have: • Experience within a fast-paced start-up or SME environment., • Established relationships with TikTok., • A strong interest in travel and lifestyle sectors. For more information, please contact Abbie Ward.

Central Employment are working closely with an established and expanding full-service Digital Marketing Agency, based in Glasgow as they look to appoint a proven and knowledgeable PPC Account Manager. Glasgow based x 3 days a week, x 2 days from home Circa £35,000 DOE + benefits PPC Account Manager: Are you a data-driven PPC expert with a passion for delivering measurable results? We’re looking for a PPC Specialist to join our digital marketing team and drive performance across multiple platforms, reporting into the Head of Search. This is a key strategic role with hands-on responsibility for campaign planning, execution, optimization, and reporting. Key Responsibilities: • Lead and manage paid search campaigns across Google Ads, Microsoft Ads (Bing) specifically., • Plan, execute, and optimize PPC strategies to achieve ROAS, CPA, and lead generation goals., • Conduct keyword research, audience targeting, and competitive analysis., • Create compelling ad copy and creative briefs that drive engagement and conversions., • Monitor and analyze campaign performance using tools like Google Analytics, Ads Manager, and third-party reporting platforms., • A/B test ad variations, landing pages, and targeting strategies., • Provide regular performance reports and strategic insights to stakeholders., • Stay up to date on digital advertising trends, algorithm changes, and platform updates. Requirements: • 3+ years of experience in PPC campaign management., • Operated within a full-service digital marketing agency setting, • Proven track record of success across Google Ads, Microsoft Ads, • Strong analytical skills and proficiency with Google Analytics, Google Tag Manager, and reporting dashboards., • Experience managing large budgets and scaling campaigns profitably., • Ability to write compelling ad copy and understand creative performance metrics., • Strong attention to detail, organization, and project management skills., • Excellent communication and reporting skills.

Region/country: United Kingdom Job title: Business Team Lead – Aero & Defence / Industries Reporting to: Head of Business Location: London/ Bristol/ Scotland Company Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of AKKA and Modis, with over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology. Scope At Akkodis, Business Team Leads (BTLs) are responsible for driving commercial performance, team leadership, and strategic growth within Aerospace & Defence. The BTL owns team-level P&L, leads annual planning, and builds a scalable, high-performing function through effective recruitment and workforce planning. Acting as the key interface between clients, engineering delivery, and internal leadership, they ensure solutions are commercially sound, deliverable, and aligned to client needs. Balancing hands-on business development with leadership oversight, the BTL plays an active role in SLT/ELT engagement, performance reviews, and strategic decision-making, contributing to the wider success of the business. Role As a Business Team Lead – Aerospace & Defence, you will lead a team of Business Managers focused on delivering engineering services across domains such as systems engineering, mechanical design, avionics, safety, and mission-critical programmes. You will be responsible for driving revenue growth, improving margin performance, and expanding Akkodis’ footprint across key Aerospace & Defence clients. A core focus of the role is evolving engagements from contingent labour (T&M) to higher-value engineering solutions including work packages, statement of work (SoW), and managed service models. You will play a critical role in bridging engineering capability with commercial opportunity, ensuring that solutions are technically robust, commercially viable, and aligned with client objectives. Responsibilities • Lead, coach, and develop a team of Business Managers, driving a high-performance, accountable, and commercially focused culture., • Own and manage team-level P&L, with accountability for revenue growth, margin improvement, cost control, and overall financial performance., • Build and execute annual business plans and strategy for the Aerospace & Defence segment, aligned to wider business unit objectives., • Drive new business and account expansion through proactive, insight-led engagement and strong market positioning., • Build and maintain senior client relationships across engineering, programme, procurement, and executive stakeholders., • Identify, shape, and close engineering-led opportunities including SoW, work packages, and managed service solutions., • Lead and oversee pipeline management and forecasting, ensuring accuracy and visibility across short-, mid-, and long-term opportunities., • Define and implement pricing strategies and cost models, ensuring margin integrity and commercial sustainability., • Take ownership of team hiring strategy and workforce planning, partnering with Talent Acquisition to recruit Business Managers and support scaling of the business., • Ensure alignment between sales demand and engineering delivery capacity, supporting effective mobilisation and utilisation., • Oversee and coordinate high-quality responses to RFIs, RFPs, and technical bids, ensuring strong commercial and delivery alignment., • Collaborate closely with Engineering Operations to shape solution design, validate delivery approaches, and ensure technical credibility., • Drive the transition from contingent labour models (T&M) to higher-value engineering solutions (SoW, managed services, outcome-based delivery)., • Monitor and report on business performance, including revenue, margin, headcount, client satisfaction, and risk., • Prepare and deliver regular performance updates, strategic reviews, and growth plans to SLT and ELT stakeholders., • Contribute to executive-level presentations, business reviews, and investment cases, influencing decision-making at senior levels., • Conduct market, competitor, and capability analysis to inform strategy and identify growth opportunities., • Ensure adherence to commercial governance, compliance, and Akkodis standards across all engagements., • Foster cross-collaboration with other business units to maximise client value and leverage wider Akkodis capabilities. Required Experience • Proven experience in a commercial leadership role within Aerospace & Defence, Engineering Services, or Technical Consulting., • Demonstrated ownership of P&L, revenue growth, and margin performance at team or business area level., • Experience developing and executing annual business plans and growth strategies., • Track record of winning and scaling engineering-led solutions, including SoW, work packages, or managed services., • Experience leading, coaching, and growing high-performing commercial teams., • Strong background in client engagement at senior level, including engineering, procurement, and executive stakeholders., • Experience in workforce planning and hiring strategy, partnering with Talent Acquisition to scale teams., • Proven involvement in bid management (RFI/RFP) and complex sales cycles., • Experience operating in a matrix environment, collaborating across delivery, operations, and recruitment functions., • Exposure to Aerospace & Defence programme environments, including regulatory, safety, and security considerations. Required Skills • Strong commercial and financial acumen, including P&L management, forecasting, and pricing strategy., • Leadership capability with the ability to build, scale, and develop high-performing teams., • Strategic thinking with the ability to translate business plans into measurable outcomes., • Advanced consultative sales skills, with the ability to shape engineering solutions around client needs., • Excellent stakeholder management and influencing skills, including engagement with SLT/ELT and client executives., • Strong communication and presentation skills, with experience delivering business performance updates and strategic plans., • Ability to operate effectively in a matrix organisation, driving collaboration across multiple functions., • Highly organised with the ability to manage multiple accounts, priorities, and performance metrics., • Results-driven mindset with a focus on growth, margin optimisation, and operational excellence. Required Education • Bachelor’s degree in Engineering, Business Management, or a related technical or commercial discipline, OR equivalent professional experience in Aerospace & Defence or Engineering Services., • Postgraduate qualifications (e.g., MBA, MSc Engineering Management) or professional certifications in leadership, project/programme management, or commercial/financial management are advantageous., • Formal training in P&L management, strategic planning, or business leadership is a plus.

DATA ENGINEER Up to £70,000 + BENEFITS UK (Remote-first)This is a great opportunity to join a high-growth education technology business where you can take ownership of building and scaling a modern data platform that underpins decision-making across the entire organisation.THE COMPANY:The business is scaling rapidly and investing heavily in data to create a single, trusted view of performance across marketing, product and operations.THE ROLE:You will take ownership of a modern data platform. Key responsibilities include: • Owning and developing the end-to-end data platform, • Building and maintaining robust data ingestion pipelines into BigQuery, • Designing and maintaining analytics-ready dbt models, • Partnering closely with the BI Analyst to support company-wide reporting and self-serve analyticsYOUR SKILLS AND EXPERIENCE:You will bring strong capability in:, • Google BigQuery/GCP (3+ years' hands-on experience), • Data ingestion tools such as Fivetran, • dbt Cloud and analytics-ready data modellingTHE BENEFITS:You will receive a salary of up to £70,000 depending on experience, along with a comprehensive benefits package. HOW TO APPLY:Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Overview Sanderson Recruitment are hiring an Implementation Engineer to work with a well-regarded FinTech client who provide global connectivity infrastructure and analytics tools within financial markets. This person will have the opportunity support the delivery and integration of a core analytics platform for clients operating in fast-moving technical environments. Responsibilities In this role, you will: • Help prepare, configure and deploy systems, assist clients through onboarding, and ensure solutions run reliably in production, • Investigate technical issues, refine integrations, and work closely with engineers to improve tooling, deployment processes and platform capabilities., • Work hands-on with Linux environments, Scripting, data exploration and operational metrics, while contributing to enhancements that make the platform easier to deploy and maintain., • Design new solutions to meet emerging requirements, • Ideally, you will have a software engineering/delivery/integration background, however candidates with a strong systems engineering/support background alongside the other required skills will be considered., • Experience working with Linux-based systems and environments., • Understanding of networking technologies (network traffic, packet tracing, networking protocols), • Understanding of API's., • Matched pension contributions., • Private healthcare., • Dental care., • Life insurance., • Share options. Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Senior Data Journalist | Investigations, Data Validation & AI-Assisted Research | Up to £150k | Remote We’re hiring a Senior Data Journalist to work directly with senior stakeholders at a company building one of the world’s largest data platforms. This role is focused on uncovering insights from complex, messy real-world data, combining investigative thinking, validation, and technical analysis to surface meaningful stories, patterns, and risks. You’ll be working with large-scale global company and ownership datasets, helping interrogate, validate, and explain data that powers investigative research, AI systems, and commercial intelligence products. This is not a traditional newsroom role. It’s ideal for someone who enjoys digging into difficult datasets, questioning assumptions, validating findings, and using technology to support deep investigative work. What you’ll be doing: • Investigating and validating complex company and ownership data, • Working with messy, multi-source datasets to identify inconsistencies, anomalies, and hidden connections, • Using SQL and Python to analyse, clean, and interrogate data, • Applying investigative techniques across structured and unstructured information, • Collaborating with technical and non-technical stakeholders to turn findings into clear outputs, • Exploring how AI and LLM tools can support research, validation, and investigative workflows, • Helping improve how data is structured, interpreted, and trusted across the platform What they’re looking for: • Strong SQL and Python skills, • Background in data journalism, investigative research, OSINT, analytics, or data-focused reporting, • Experience working with complex or unreliable datasets, • Strong attention to detail and a sceptical, investigative mindset, • Someone who cares about accuracy, methodology, and real-world meaning behind the data, • Bonus: experience with corporate, financial, regulatory, risk, or ownership data Remote £100k–£150k Senior Data Journalist | Investigations, Data Validation & AI-Assisted Research | Up to £150k | Remote

Job Title:Snowflake/Dataops Data Engineer Technical Lead Department:Delivery Reporting to:Professional Services Manager About the role We are looking for a Client Technical Lead to join our delivery team ensure the technical standards and project approach are implemented in the best possible way. You will be providing daily supervision and mentoring of one or more the technical project team(s). This includes reviewing, maintaining or creating a System Architecture and maintaining close relationships with the Project Manager and Business Development and Account Manager. You will be contributing to Agile User-Story and Task grooming, estimations and sprint planning, technical delivery and retrospective reviews both commonly with and without direct Customer involvement. You will be drawing upon and contributing to Datalytyx General and Technology specific Delivery Guides to ensure that best practices approaches are maintained and common project dangers are avoided. You will be working within the 2-week sprints to get the best work from yourself and the technical team members and be committed to completing shared multi-client sprint deliverables. You will be proactively working to know your client’s business and technical needs and be looking for potential additional scope and opportunities that can become future opportunities to make Datalytyx and our Customers successful in our shared relationship. You spot potential engagement issues or blockers early on in planning and sprint execution and help our Project Manager(s) define mitigation steps to ensure joint delivery success. You’ll pro-actively work to build up knowledge of the business, including how our commercial and production teams work. Of course to get to know your colleagues and customers well, you’ll occasionally travel between our two offices and to customer sites. Who are we looking for We are looking for someone who is keen to join the team and learn about what we do. Someone comfortable working with technical staff and customer staff and be confident gathering and representing technical requirements and our resulting deliverables. You will be someone who thrives on working as part of a team to continuously improve quality, demonstrate an eye for detail and be a completer-finisher. We are looking for someone who the technical team can rely upon, demonstrates a positive can-do attitude. You might be a technical consultant who can grow within the role on simple client projects and learn demonstrate the above attributes on a daily basis. You will have a keen eye for the technology used and shape of a client engagement. You will be able to spot potential “broken windows” early on in client technical engagements. You enjoy making a difference to the products and integrations our customers are using. You will have a solid grounding in Computer Science, either from a formal education background or through experience in your career. You will have experience of Big Data Cloud technology, cloud and project/issue tracking systems (we use Jira). What you’ll be doing • Working with DataOps.live and Snowflake to deliver amazing analytic data solutions, • Work on agile projects, looking to deliver business value fast, • Reviewing, maintaining or creating a System Architecture, • Evangelise and contribute to Snowflake, Dataops, DBT best practice, • Daily supervision and mentoring of one or more the technical project team(s), • Contribute and participate in 4-eyes code promotion reviews of GIT Merge Requests, • Identifying and tracking Tasks to manage and resolve technical debt in the solution, • Maintaining close relationships with the Project Manager and Business Development and Account Manager, • Contributing to Agile User-Story and Task backlog grooming, • Participate and lead Team estimations, • Sprint planning, • Creating project from templates and implementing 4-layer modern data architecture ELT data solutions, • Deliver CI/CD data pipelines, implementing a layered ELT data architecture, • Ingesting data from external sources such as Relational Databases, files, Kafka and other sources, • Writing data processing routines with languages such as python, • Collaborate with data source Subject Matter Experts (SME) to discover and understand the data, • Model and transform data using SQL and DBT, • Collaborate with colleagues in peer code reviews and pair programming sessions, • Creating example dashboards using visualisation/BI tools to enable customers to enhance and self-serve further visualisations, • Support and enable Data Science team(s), • Review and resolve data pipeline failures and data test failures, • Optimise and improve data pipelines, • Utilise Snowflake best practices and features to optimise credit usage and performance, • Work with Data Consumers to optimise queries and improve consumption of data Technical skills • A background in SQL and principles of data warehousing, • Snowflake design and engineering experience or certification in Snowpro Core, • Experience in data modelling and ELT, • Analytical and Structured approach to work, • A team player able to perform peer code reviews and provide constructive mentoring, • 5 years’ experience within Data & Analytics and DBT, • Desirable, • Experience of ETL design and dev, including Test-Driven development, • Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling), • Experience of programming languages including Object-Oriented language (.Net. Java, C, Python), • GIT experience, • Good knowledge of DevOps / DataOps principles with working knowledge of Docker and Linux, • Hands on experience with DBT, • Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, • Expertise in deploying Snowflake features such as data sharing, • Experience with data security and data access controls and design, • Experience with AWS or Azure data storage and management technologies such as S3 and ADLS, • A track record of achievement and recognition within the IT industry as evidenced by significant promotion since leaving University, • A strong academic track record including the achievement of a good honours degree or equivalent, • Certification in Snowpro Advanced Architect or Snowpro Advanced Data Engineer

Lead Full-Stack Developer Location: Remote-first Type: Full-time Start: ASAP About Couch Heroes At Couch Heroes, we’re exploring new ground for the MMO genre. In a world where fantasy and ancient technology intertwine, players explore shattered realms, grapple across verticality, solve puzzles, and push back corruption, with progression driven by player expression and discovery. We envision bridging generations of gamers, creating a space where both coexist and journey together. We’re developing in Unreal Engine, in early production, with a team spanning multiple countries. We’re remote-first, based in the UK, and scaling to support a multi-year live-service roadmap. We value autonomy, curiosity, and collaborative ownership, and we’re looking for creators who want to help build something from the ground up. Sound like your kind of thing? We should talk. About the Job The web and platform layer of an MMO is what players interact with outside the game client: account systems, social features, community tools, content delivery, and the services that tie the live experience together. We need a Lead Full-Stack Developer who can own the architecture of these systems and build the engineering team that delivers them. You will report to the CTO and manage a growing team of web and platform engineers. You will make architectural decisions, stay hands-on with code, and represent the web engineering discipline across the studio in production planning and resourcing decisions. We are in early production. The studio has been running for three years, and core platform infrastructure is being built alongside the game itself. You will be making foundational choices about stack architecture, service boundaries, deployment pipelines, and data models that the team builds on for years to come. This is not a maintenance role. You are building systems from the ground up. Your Role People Leadership and Team Development • Manage a growing team of engineers as the team scales through production: set priorities, assign work, balance workload, and run regular 1:1s focused on progress, career development, and honest feedback., • Lead performance reviews and goal setting aligned to production milestones and individual development plans. Identify skill gaps and address them through coaching, stretch assignments, or training., • Represent the web engineering discipline in cross-discipline leads meetings, production planning, and resourcing conversations. Advocate for team needs and capacity., • Foster a team culture of code quality, shared ownership, and continuous improvement., • Support hiring as the team grows: contribute to job descriptions, review technical submissions, and participate in interview loops. Technical Leadership and Architecture • Architect and lead the development of backend microservices using TypeScript, Node.js, and Express, with MongoDB for persistent storage and Redis for caching, session management, and pub/sub messaging., • Design scalable, well-bounded services that support the throughput and reliability demands of a live-service MMO: player accounts, social systems, marketplace, mail, inventory, and platform integrations., • Own CI/CD pipelines using Azure Pipelines, with Docker and Kubernetes on Azure for container orchestration and deployment. Establish deployment practices that support rapid iteration without compromising stability., • Make architectural decisions about service boundaries, data models, caching strategies, and API design that balance immediate delivery needs with long-term scalability., • Establish monitoring, alerting, and incident response practices using Grafana and Uptime Kuma or equivalent observability tools. Frontend Engineering • Build polished, responsive, and accessible interfaces using TypeScript, React, and Next.js, with Redux for state management and Zod for schema validation., • Collaborate with UI/UX design to ensure clean design-to-implementation handoff and user-centric workflows across platform features., • Ensure frontend systems are built for internationalisation, accessibility, and performance from the start. Platform Integration • Work with gameplay engineering and online services to define how web platform systems integrate with the game client: authentication, account management, social features, content delivery, and analytics., • Collaborate with production to manage scope, schedules, and task breakdowns for web engineering work. Contribute to milestone planning, sprint scoping, and capacity forecasting. Must-Haves • Proven experience in software development, with at least one shipped product or live service., • Proven experience in a senior or lead role with hands-on team leadership experience: running 1:1s, setting goals, conducting reviews, and developing team members., • Strong backend experience with TypeScript, Node.js, and Express for API development., • Production experience with MongoDB and Redis in a services environment., • Strong frontend experience with React and Next.js., • Working knowledge of Docker, Kubernetes, and CI/CD pipeline design., • Experience with Azure Cloud services or equivalent cloud platform., • Strong communication skills and a collaborative working style, with proven experience making architectural decisions in cross-functional teams. Nice-to-Haves • Experience building backend services for games, social platforms, or real-time multiplayer applications., • Experience with Redux, Zod, or equivalent state management and validation libraries., • Familiarity with real-time communication systems: WebSocket at scale, pub/sub architectures, or event-driven service design., • Experience with Grafana, Uptime Kuma, or equivalent observability and monitoring tools., • Experience with OAuth2/JWT authentication flows and identity management., • Experience with Golang or additional backend languages., • Contributions to open-source projects or technical writing that demonstrates systems thinking. About You • You lead by example. You are hands-on when needed and empowering always., • You build systems that last and take pride in readable, maintainable code., • You are comfortable translating product vision into technical decisions and explaining technical constraints to non-technical stakeholders., • You are comfortable working through ambiguity. Early production means not everything is defined yet, and you see that as an opportunity to shape the right architecture., • You balance engineering ideals with delivery pragmatism. You know when to build for the future and when to ship what works., • You work autonomously in a remote environment, proactively keeping your team aligned and your stakeholders informed., • We are committed to making our hiring process accessible. If you require reasonable adjustments at any stage, please let us know. Couch Heroes have partnered with Skillsearch on this hire. Jack is leading the search directly with the studio leadership, so feel free to reach out to him at . He will be your point of contact throughout. Looking forward to connecting! Equal Opportunities Couch Heroes is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applications from all backgrounds and do not discriminate on the basis of age, disability, gender identity or expression, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, sexual orientation, or any other protected characteristic. Privacy and data We process your personal data as part of the recruitment process. Couch Heroes and Skillsearch both act as data controllers in relation to your application. For details on how your information is collected, used, stored, and your rights under UK GDPR, please review the relevant Privacy Policies below: Couch Heroes: ___ Skillsearch: ___

As an Inventory / Material Controller, you will be responsible for the storage, distribution and control of all materials that allow us to build our Satellites! You will play a vital part in the production team ensuring that engineering and production have availability and visibility of materials. The key indicator of control will be ensuring that the system and physical inventory are aligned, creating an efficient and streamlined process for inventory control. This is achieved through the competent use of database and bespoke inventory control tools. Your impeccable organisational skills and ability to manage multiple projects will enable our operations to continue to grow and capability. Responsibilities of your role: • Controlling goods in/out and recording all stock movements in support of the Satellite Manufacturing facility, • Controlling indirect Materials and Equipment, • Ensuring that all records relating to stores are kept up to date and maintained in an efficient manner., • Storing goods correctly and ensuring that they are properly protected against ESD damage., • Carrying out housekeeping duties and ensuring that stores area is maintained in a well organised, clean and tidy manner., • Part receiving/labelling and storage within a controlled environment., • Part picking (kitting) and distributing to Manufacturing teams., • Quarterly Inventory Counting & Reconciliation, • Attention to detail in data entry and validation., • Competent computer skills, • Proficiency with prioritizing and meeting multiple deadlines, • Adept at handling multiple complex tasks simultaneously, • Excellent communication and organisational skills, • Desirable requirements:, • Proven experience in a similar role, • Knowledge of inventory control, • Competence in use of spreadsheets and databases (Microsoft & Google) Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. Global Perks 🛰️ Name Your Satellite Program (NYSP) 🚀 Launch Attendance 🌴 Generous Time Off Policy 🎓 Education Assistance Program 🥰 Employee Assistance Program (EAP) 📈 Employee Stock Purchase Program (ESPP) 👣 Family Leave 💪 Fitness Reimbursement 🧡 Employee Referral Program 🍉 Healthy snacks & beverages in every office About Spire We improve life on Earth with data from space. Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth. Spire is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status. To help maintain a safe and secure workplace for Spire employees, all candidates who receive a conditional offer will be required to complete a background check. This may include criminal history and employment verification. Please take a moment to review ___, as well as ___ Kindly be advised that communication regarding your application may come from @spire.com, @recruiting.spire.com, or from Candidate.fyi (our scheduling tool).

📍 Glasgow (Hybrid – 1 day per week) 🚀 Shape the future of data at SThree We’re looking for a Senior Data Engineer to play a key role in transforming our data platform — moving from Azure Synapse to a modern Microsoft Fabric + OneLake architecture. This is a hands-on role with real influence, combining engineering, architecture, and platform evolution to support analytics, AI, and business decision-making at scale. 🌍 About us SThree is the global STEM workforce consultancy, fusing ambition, expertise and technology. We advise businesses, build expert teams and deliver project solutions, to outpace tomorrow, together. We’ve been in STEM for 40 years– a global team with local expertise across specialist sectors in Engineering, Life Sciences and Technology. We aspire to be the game-changers in STEM. We are all in, we build partnerships, we think big, and we do the right thing. We bring skilled people together, whatever the speed, scale and scope of the ambitions, to build the future. 🧠 What you’ll do • Own and enhance enterprise data pipelines (Dynamics, SAP, third-party systems), • Work across Azure Synapse, Azure SQL, and medallion architecture (Bronze/Silver/Gold), • Help lead the transition to Microsoft Fabric & OneLake, • Build scalable pipelines using DBT, Python, and Spark, • Develop CI/CD pipelines in Azure DevOps, • Improve platform performance, monitoring, and governance, • Set engineering standards and mentor others in the team 🛠️ What we’re looking for • Strong experience as a Senior Data Engineer in enterprise data environments, • Strong experience in Azure data platforms (Synapse, ADF, SQL), • Proven delivery of modern data architectures, • Strong SQL + DBT, • Python & Spark for data engineering, • Experience building CI/CD for data platforms, • Hands‑on experience with Microsoft Fabric, including Fabric Data Warehouse, Lakehouse, and Spark workloads (desirable), • A mindset for driving change and improving engineering standards ⭐ What's in it for you • Hybrid working options for flexibility., • Bonus linked to company and personal performance., • 28 days holiday plus public holidays, with an annual leave purchase scheme., • Private healthcare, discounted dental insurance, and health cashback scheme., • Paid volunteering days and caregiver leave., • Access to retail discounts and our company share scheme. ⭐ Why join? • Major data platform transformation programme, • Early adoption of Microsoft Fabric, • High-impact role supporting AI and executive insights, • Opportunity to shape architecture and engineering practices, • This isn’t a BAU role — it’s a chance to build, modernise, and lead. 🤝What we stand for We’re committed to ensuring that every colleague, candidate, and member of our community experiences fair, equitable, and respectful treatment. We strive to create an environment where everyone belongs, feels valued, and is supported to thrive. If you require any assistance or reasonable adjustments during the application process, please let us know. We’re here to help.

About the Role This is a unique opportunity to sit at the forefront of enterprise analytics—moving beyond traditional dashboards into conversational, AI-powered insights that empower senior leaders to make faster, smarter decisions. You’ll work at the intersection of data science, semantic modelling, and applied AI, helping transform data into intuitive, natural language experiences while ensuring accuracy, trust, and transparency at every step. What You’ll Be Doing • Design and deliver conversational analytics experiences using Power BI and AI tools, • Translate executive questions into structured analytical insights, • Optimise semantic data models for AI-readiness and natural language interaction, • Build and implement solutions that minimise AI hallucination risks and ensure data accuracy, • Develop explainable AI outputs, ensuring all insights are traceable and trusted, • Apply data science and ML techniques for insight generation, summarisation, and anomaly detection, • Partner with senior stakeholders to shape data-driven decision-making, • Coach and upskill teams on best practices in AI-enabled analytics What We’re Looking For • Minimum of 3 years of experience and a strong background in Data Science, Analytics, or Machine Learning, • Hands-on experience with Power BI semantic models or enterprise data modelling, • Experience with LLMs, conversational AI, or natural language analytics, • Deep understanding of data governance, quality, and metric definition, • Strong analytical thinking and problem-solving skills, • Ability to thrive in ambiguous, evolving environments and shape solutions from the ground up Nice to have: • Experience with Microsoft Copilot, Azure OpenAI, or similar platforms, • Knowledge of RAG (retrieval-augmented generation) or AI grounding techniques, • Experience supporting executive-level stakeholders Why join us? • Be at the forefront of AI-driven transformation in enterprise analytics, • Influence how senior leaders interact with data across the business, • Help define standards, best practices, and innovation in a growing space, • Work in a collaborative, forward-thinking environment focused on continuous improvement What's in it for you? • Hybrid working options for flexibility., • Bonus linked to company and personal performance., • 28 days holiday plus public holidays, with an annual leave purchase scheme., • Private healthcare, discounted dental insurance, and health cashback scheme., • Paid volunteering days and caregiver leave., • Access to retail discounts and our company share scheme. What we stand for We’re committed to ensuring that every colleague, candidate, and member of our community experiences fair, equitable, and respectful treatment. We strive to create an environment where everyone belongs, feels valued, and is supported to thrive. If you require any assistance or reasonable adjustments during the application process, please let us know. We’re here to help.

GCP Data Engineer - Dataflow 6 Month Contract Inside IR35 Up to £650 per day Remote We’re hiring a Senior Data Engineer to design, build, and optimise scalable data pipelines on Google Cloud Platform. This is a hands-on role for someone with a self-starter mindset who enjoys working with modern data architectures and open-source frameworks. What you’ll be doing: • Designing and building ETL/ELT pipelines, • Developing scalable data workflows on GCP, with a strong focus on Google Cloud Dataflow, • Implementing robust data ingestion frameworks using batch and streaming approaches, • Working with structured and semi-structured data, • Collaborating with Data Modelling & Analytics teams, • Driving data reliability, monitoring, and observability, • Automating deployments and workflows, • Contributing to tooling and framework decisions What we’re looking for: • Strong ETL/ELT pipeline experience, • Proven GCP data services expertise, including hands-on experience with Google Cloud Dataflow (essential), • Strong SQL and data transformation skills, • Experience with orchestration and pipeline automation, • Background in modern data architectures (lakehouse/warehouse), • Proactive, ownership-driven mindset Nice to have: • Data Vault 2.0 exposure, • BigQuery optimisation experience, • Open-source data framework experience, • CI/CD for data pipelines

Haut.AI is a pioneering BeautyTech startup at the forefront of personalized skincare solutions. We combine scientific research with artificial intelligence to deliver innovative solutions that actually work. Backed by leading European VCs and founded by AI scientists, we are positioned at the intersection of two explosive growth markets: AI and beauty tech. We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won't just be researching models in a vacuum, but own the end-to-end ML lifecycle from prototyping computer vision algorithms to pushing production-ready deep learning models that directly impact our clients and their customers. What You’ll Do: • Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression, and generation., • Own the Pipeline: Architect and maintain robust, comprehensive training pipelines covering data preprocessing, augmentation, training loops, and validation., • Ship to Production: Optimize and format ML models (using ONNX/TF-lite) for smooth, scalable deployment., • Monitor & Iterate: Track the performance of deployed models in the wild, ensuring high reliability and addressing data drift., • Collaborate & Prototype: Build Proofs-of-Concept (PoCs) and demo applications to translate research into tangible business value, while communicating technical insights to the broader team. What You Bring: • Experience: 3+ years of industry experience shipping ML/DL models to production, with a Bachelor’s degree in Computer Science, Math, Physics, or equivalent background., • Software Engineering: Strong proficiency in Python, enabling you to write clean, production-ready code. You are comfortable with OOP, Git workflows, and containerization using Docker., • ML & Deep Learning: expertise with deep learning frameworks (PyTorch, TensorFlow) and a solid grasp of CNN, transformer and hybrid architectures., • Computer Vision Foundations: Strong working knowledge of standard CV libraries (OpenCV, scikit-image, PIL) and classical CV algorithms (edge detection, thresholding, color spaces)., • Data Analytics Fluency: Experience working with standard data manipulation libraries (NumPy, pandas, scikit-learn, SciPy)., • Communication: Advanced English proficiency to collaborate effectively in a global environment. Bonus Points (Nice to Have) • Hands-on experience with Vision Transformers (ViTs)., • Familiarity with deploying and scaling models on cloud infrastructure (Azure, AWS, or GCP)., • Data visualization skills using tools like Plotly or Gradio. Your Tech Stack: Python, PyTorch, ONNX, OpenCV, Microsoft AzureML, GCP Vertex AI and PostgreSQL. We also heavily utilize modern workflow and productivity tools including Jira, Notion, Slack, GitHub, GitHub Copilot, Codex, Gemini, and OpenAI. Why Haut.AI? • Competitive compensation based on experience and skills., • Fully remote position with flexibility across UK and EU time zones., • Paid PTO., • Be part of a pioneering company revolutionizing the BeautyTech space., • Opportunity to collaborate with a talented, forward-thinking team while making a real difference in the industry., • Make a tangible impact on product development and company growth., • Opportunity to grow your skills and expertise at the intersection of science and beauty. To Apply: Please submit your CV in English for applying. We look forward to hearing from you!

Analytics Engineer - 12 month fixed term contract UK Remote £67,000 plus benefits This Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: • Leading the design and delivery of curated, analytics ready data models within the Lakehouse, • Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight, • Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks, • Embedding data quality, testing, reliability and performance into the curated layer, • Working closely with data engineers, BI teams and business stakeholders to translate complex requirements, • Providing technical leadership, mentoring and setting modelling and engineering standards, • Strong commercial experience as an Analytics Engineer within a modern data platform, • Excellent data modelling capability, including dimensional and semantic modelling, • Advanced SQL skills and strong hands on experience with PySpark, • Experience working with Databricks and Lakehouse architectures, • A solid grounding in engineering best practices, testing and data quality, • Confidence mentoring others and taking ownership of technical decisions, • Flexible by choice working, supporting different schedules and work life balance, • A 35 hour working week within a supportive, inclusive engineering culture If you are an Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

Accelerant is seeking a Product Area Lead Architect to provide hands on, operational architectural leadership for our Insights, Analytics & Workflows product area. This role operates at a Principal level, influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. It is highly collaborative, pragmatic, and operational, focused on identifying architectural gaps, managing dependencies, and enabling teams to execute confidently within a shared architectural framework. You will champion standards based architecture, leveraging web standards, open protocols, and industry conventions to build interoperable, accessible, and future proof systems. Key Responsibilities Operational Architectural Leadership • Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers, • Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence, • Manage cross team technical dependencies to enable independent, parallel execution, • Translate architectural strategy into clear, actionable guidance that teams can apply sprint by sprint Cross Team Coordination & Alignment • Facilitate architectural discussions and resolve technical conflicts across teams through principled, pragmatic decision making, • Act as an escalation point for complex cross team technical challenges, • Ensure architectural decisions are clearly communicated, understood, and consistently applied Design and Innovation • Define and maintain architectural patterns across backend services, APIs, data platforms, and front end systems, • Design scalable, resilient systems for analytics, workflow orchestration, and intelligence features, • Guide decomposition of legacy systems into well defined services and domains, • Evaluate technologies and data stores, favoring open standards and long term maintainability, • Architect distributed systems with focus on reliability, fault tolerance, and scalability Standards & Governance • Establish API design standards ensuring consistency, discoverability, and ease of integration, • Define front end standards prioritizing web platform capabilities, progressive enhancement, and accessibility (WCAG), • Create governance frameworks that balance standardization with team autonomy, • Drive adoption of industry standards (OAuth2, OpenID Connect, OpenTelemetry, JSON:API) over proprietary alternatives Technical Leadership • Partner with engineering teams on design reviews, PR reviews, and implementation guidance, • Establish standards for cross cutting concerns: API versioning, auth, observability, error handling, and resiliency patterns, • Collaborate with platform and DevOps teams on containerization, CI/CD, and cloud native deployment, • Produce clear technical design documentation that drives alignment and knowledge sharing, • Mentor engineers and raise the overall architectural maturity of the organization GenAI, ML & AI Architecture • Architect customer facing GenAI features using LLMs, including RAG pipelines, prompt engineering frameworks, and conversational AI interfaces, • Define patterns for ML model integration: serving endpoints, API contracts, versioning, and health monitoring, • Partner with Data Science to translate models into production grade features with clear integration contracts and deployment workflows, • Establish standards for responsible AI, including evaluation criteria, privacy guardrails, and LLM output validation AI Transformation & Productivity Leadership • Scale AI driven development workflows across teams, ensuring engineers leverage AI coding tools effectively, • Guide team architects and coach senior engineers on using AI tools to enhance productivity and code quality, • Work hands on with teams to identify opportunities for AI to solve operational challenges and improve velocity Solution Evaluation & Quality Assurance • Evaluate and recommend technologies to enhance capabilities across analytics, workflow, and intelligence domains, • Ensure architectural integrity through code reviews, assessments, and continuous monitoring, • Proactively identify technical risks and devise strategies for reliability, security, and performance Technical Requirements Full Stack SaaS Architecture: • Strong proficiency in modern JavaScript/TypeScript and Node.js, • Deep knowledge of web platform fundamentals and browser native capabilities, • Experience designing and evolving well structured APIs for platform integrations Architectural & Systems Thinking: • Deep knowledge of architecture principles, design patterns, and distributed systems, • Proven ability to make pragmatic tradeoffs in complex, evolving systems, • Experience in cloud native environments, preferably AWS AI Enabled Engineering: • Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, Claude, etc.), • Understanding of AI applications for development productivity and code quality improvement Qualifications • 8 to 12+ years in software engineering and architecture roles, • Proven experience operating across multiple agile teams in an architectural leadership capacity, • Track record of managing cross team dependencies and bridging architectural vision with day to day execution, • Proven ability to drive AI adoption and transformation within engineering organizations, • Excellent communication and facilitation skills with ability to align work across distributed teams, • Pragmatic, operational mindset with strong problem solving abilities, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

About Complexio Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate - across people, processes, and systems. Enterprises have invested heavily in AI platforms, copilots, and data infrastructure - yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap. Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works - every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on - turning organisational knowledge into measurable business outcomes. A joint venture between Hafnia and Símbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries. We are now onboarding enterprise customers globally, with a platform built to handle the pace and complexity of real business operations. Role Purpose Enterprise organisations do not buy software - they fund outcomes. The Value Engineer exists to make the connection between Complexio's platform capabilities and the specific, quantified business outcomes each customer cares about, at every stage of the relationship. Value engineering as a discipline has become a defining commercial capability at the world's leading enterprise software companies. ServiceNow built a global Value Engineering practice to justify platform ROI at scale. Celonis pioneered value engineering in the process mining space, making quantified process improvement the centrepiece of every enterprise deal. SAP's Value Advisors and Salesforce's Business Value Consultants have made the ability to prove financial return a standard expectation in enterprise software procurement. Complexio is building this capability now - at the stage where it will have the most impact on commercial outcomes. This role sits at the intersection of business consulting, commercial strategy, and deep operational understanding. You are not a sales support function. You are an independent, credible business advisor who earns the trust of customer CFOs, COOs, and operational leadership by doing rigorous work - identifying where value is being lost, modelling what recovery is worth, and demonstrating with evidence what Complexio has actually delivered. Key Responsibilities Value Discovery & Business Case Development • Lead structured value discovery engagements with prospective customers - working with operational, financial, and technology stakeholders to identify and quantify the cost of their current automation gap, • Map customer operational workflows to Complexio's platform capabilities, identifying the specific processes, hand-offs, and inefficiencies where the EKG, Context Broker, Enterprise Automator, and Stevie create measurable impact, • Translate business case outputs into executive-ready materials - CFO-grade financial models, board-level summaries, and ROI one-pagers that withstand scrutiny from finance and procurement stakeholders, • Validate assumptions with customers through structured interviews, data analysis, and process observation - never building a business case on hypotheticals that will be challenged at approval Pre-Sales Value Engagement • Partner with Sales, Client Directors, and Solutions Consultants in enterprise sales cycles - joining customer engagements specifically to lead the value and business case workstream, • Run executive value workshops with customer C-suite and operational leadership - structured sessions that move from pain identification through to quantified opportunity in a single engagement, • Produce deal-specific value narratives and ROI models that are calibrated to each customer's operational context, financial metrics, and internal approval process, • Equip the sales team with reusable value frameworks, benchmark data, and industry-specific ROI models that accelerate deal cycles across similar customer profiles, • Support commercial proposal development by providing the financial and business value content that underpins pricing, contract structure, and deal terms Post-Sale Value Realisation • Own the value realisation framework for Complexio's customer base - defining how value is tracked, measured, and reported from deployment through to steady-state operation, • Establish baseline metrics with customers at the point of deployment - agreeing the operational and financial KPIs against which Complexio's impact will be measured Value Benchmarking & Market Intelligence • Build and maintain Complexio's value benchmark library - a structured, continuously updated repository of outcome data across customers, sectors, use cases, and platform capabilities, • Develop sector-specific value models for Complexio's primary markets - maritime operations, energy trading, industrial workflow management - grounded in real customer data and validated against industry benchmarks, • Track and analyse how value accrues over time across the customer base - identifying which deployment patterns, use cases, and adoption sequences drive the fastest and largest outcomes, • Monitor competitive value positioning - understanding how Complexio's ROI profile compares to alternatives including Microsoft Copilot, Celonis, and incumbent manual processes Internal Value Enablement • Build and maintain a value engineering toolkit accessible to the broader commercial team - including value discovery frameworks, ROI calculators, benchmark data packs, and executive presentation templates, • Partner with Product and Engineering to ensure that Complexio's platform instrumentation supports value measurement - advocating for the telemetry, reporting, and analytics capabilities that make value realisation visible to customers, • Feed value data and customer outcome evidence back into Complexio's product prioritisation process - ensuring the roadmap is guided by where the platform creates the most demonstrable impact Executive & C-Suite Engagement • Engage directly with CFOs, COOs, and operational leadership as a credible, independent business advisor - not as a vendor representative, • Lead or co-lead executive value presentations and business case reviews at board and C-suite level - with the financial and operational rigour to withstand challenge from sophisticated buyers, • Shadow Co-CEOs and the CRO in strategic customer engagements as required - providing the value and ROI narrative in high-stakes commercial discussions, • Build long-term advisory relationships with senior customer stakeholders that extend beyond individual deals and create durable commercial anchors What We're Looking For Essential • 6+ years in a value engineering, value advisory, business value consulting, or management consulting role - ideally with direct experience in enterprise software, process automation, or AI/data platform contexts, • Demonstrable experience building and presenting rigorous business cases and ROI models to C-suite and finance stakeholders - models that have withstood scrutiny and influenced major investment decisions, • Strong financial modelling capability - comfortable building NPV, IRR, and payback analyses from first principles and translating operational data into financial outcomes, • Deep understanding of how large enterprises make investment decisions - approval processes, financial hurdle rates, competing priorities, and the politics of internal sponsorship Desirable Experience in the maritime, shipping, energy, or industrial sectors - operational familiarity with voyage management, fleet operations, chartering, trading, or supply chain workflows Experience with process mining, workflow analytics, or operational intelligence tools - and the ability to use data outputs to construct value narratives Familiarity with AI automation economics - understanding how to model labour displacement, error reduction, and decision acceleration in organisations adopting AI-driven workflows Experience building value benchmark databases and sector-specific ROI frameworks from scratch Who You Are Rigorous and credible - your business cases are built on real data, sound assumptions, and transparent methodology; you do not overstate value and you do not produce numbers that collapse under scrutiny A skilled interviewer and listener - you can run a discovery session with a COO or a fleet manager and extract the operational detail you need to build a credible model, without making them feel interrogated Commercially motivated - you understand that your work directly enables revenue and you take that seriously; you are not an academic analyst, you are a commercial contributor Independently minded - you are willing to tell a customer or a sales team that a use case does not meet the value threshold, because your credibility depends on honesty, not optimism • A strong writer and presenter - you produce executive materials that are clear, well-structured, and visually compelling; you do not hide weak analysis behind impressive slides, • Intellectually curious about how industries operate - you find genuine interest in understanding how a maritime shipping company makes money, where it loses it, and what operational changes move the needle, • A builder - Complexio does not yet have a mature value engineering function; you are excited by the opportunity to create the frameworks, tools, and benchmarks that will define how the company communicates value at scale

Senior Backend Engineer – Mobile - Fully Remote Anywhere in UK & Europe! £115,000 I’m working with a high-growth, consumer-facing mobile platform used by millions globally, who are building out a brand new monetisation engineering function. They’ve recently evolved into a more mature, product-led engineering organisation with dedicated squads aligned to Product, and are now hiring a backend engineer to sit at the centre of how they generate revenue. This is a high-impact role focused on building and scaling the systems behind subscriptions, payments and pricing - owning the reliability and performance of the monetisation funnel end-to-end. What you’ll be doing: • Designing and building scalable backend systems that power subscriptions, billing and pricing logic, • Owning the performance, reliability and correctness of revenue-critical systems, • Working closely with Product and Data to support experimentation, analytics and growth initiatives, • Helping shape how monetisation is built as the business continues to scale Tech stack: • Node.js, TypeScript, • AWS, • DynamoDB What they’re looking for: • Strong backend engineering experience in high-scale, consumer-facing products, • Experience working on business-critical systems (payments, subscriptions, or similar high-throughput environments), • Ability to work closely with Product Managers, challenge where needed and prioritise effectively, • Strong communication skills and a product mindset Nice to have: • Experience with in-app purchases or subscription platforms, • Background in mobile-first products, • Exposure to analytics, experimentation or feature flagging systems The setup: • Fully remote, distributed team, • Mature squad structure with strong engineering leadership, • Opportunity to take ownership in a newly formed team with clear progression into leadership If you’re interested, drop me a message or apply and I’ll run you through the details.

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

Note: no agencies/consultancies, must be in the UK with right to work We're building the digital infrastructure that makes clean energy work in the real world. Seventy million machines run on diesel. The alternatives exist. But the operations are complex, the supply chains are still emerging, and for most companies the transition feels risky. That's the problem we're solving. Logiq Systems builds the operational intelligence layer that makes clean energy work in the real world. One platform for fuel suppliers, rental companies, and asset operators to deploy, monitor, and optimise hydrogen, battery, solar, and alternative fuel systems — at the scale and reliability that industries actually need. We're live across construction, events, and industrial sectors with customers including Toyota, Balfour Beatty, Acciona, Sunbelt Rentals, and Protium. The technology works. Now we're scaling the team that scales the business. If you want to work on infrastructure that matters, in a company early enough that what you do shapes the industry, we'd like to hear from you. UNITED KINGDOM, REMOTE / FULL-TIME Role Summary: We are looking for a Senior Software Engineer (full-stack) to develop the Logiq platform. Working closely with our Head of Product, you will be responsible for building software that forms the core of our main business, as well as defining the long-term technical direction of Logiq Systems. Who we are today: Logiq Systems was founded in 2020 and is currently a team of five. Aran Bates and Ben Lindley are the founders, two friends turned colleagues. We are both dads of kids less than 5 years old (two each). Having both worked on this for two years self-funded (although now venture backed) we are driving a huge market shift in off-grid energy. While it is one that won't change with the speed of the AI bubble - this is infrastructure and hardware, not some Al wrapper over ChatGPT - it delivers sticky and lasting change with our customers and the industries we touch. As a team our passion and mission is improving the world around us, making it better for people and the planet. Our purpose pushes us to be the force of change in this industry. Not just in environmental sustainability by making the world less polluted from carbon, noise and poor air quality, but also in creating a supportive company flexible to the realities of modern life. A company with a diverse, equal, and respectful workforce. What does that really mean though? Well we recognise that talent can exist anywhere in the UK and that people have life commitments that can overlap with traditional 'core hours'. We are remote-first: As a team we are spread across the UK from Edinburgh to London, this means we can work with the best people out there. We also recognise the importance of building a sense of team, meeting regularly (at least once a quarter) and put a lot of emphasis into team building in the 'virtual' work environment also - e.g. daily team video calls, non- work Slack channels such as one specifically for sharing the music we are listening to. Although for this role there is a preference to have a candidate within around an hour of travel to Edinburgh or Oxford to work with the founders or the Head of product in person more regularly. Flexible working: To manage the interface of life and work we operate a flexible working policy, at the start of every week we have a whole team standup and in that we clearly communicate as a team what commitments people have that might cut into the working day or lead to a hard stop at the end of the day, so that as a team we can ensure that life and work fit together. Supporting women and primary carers in tech: Both Ben and Aran fully recognise the importance of building a supportive working environment for women and parents so they can continue a career, while remaining supportive and attentive to both kids and work. This has been heavily influenced through their experience as fathers and with partners who continue to have successful careers, while sharing parenting loads. The team we are building: The team we want to build is one where we are: • Passionate about making a difference. We are pushing change through a traditional market there meaning there are naysayers, so it is very important we have strong belief in the change we are driving., • Flexible and comfortable with ambiguity. We must be flexible as the market is early and developing. You will be shaping a new offering in the clean energy industry right from the start!, • Extremely self-motivated with a strong work ethic. We are a small team and need people to own their work. We also work hard because we love what we do!, • Fun! We need to enjoy what we do, while still being proud about the quality of our work., • Humble, authentic, and honest. We give credit where credit is due. We can respect, support and celebrate others for the value they bring., • Comfortable being challenged. We believe in creating an environment where we feel comfortable and safe enough for ideas to be challenged in a constructive manner., • Curious. Curiosity drives improvement and innovation. Always ask why. The Role: As a Senior Software Engineer, you will be responsible for the long-term technical direction of the Logiq platform and products, which provide real-time operational intelligence for connected clean energy assets. You will be designing and developing new products, features and improvements to the Logiq platform, delivering value to our growing customer base and the key capabilities required to evolve our growing business. As a senior member of the team, you will also have direct input into the product direction, working closely with the Head of Product to shape how Logiq develops as we scale. You will also be the champion of software engineering best practices across Logiq Systems. A few of your responsibilities: • Design and develop full-stack features using React, Python, PostgreSQL and serverless technologies (AWS Lambda, Fargate)., • Design and implement RESTful APIs and event-driven systems., • Maintain, extend and improve optimisation, alerting and forecasting models., • Implement and maintain CI/CD pipelines., • Ensure high-quality code through peer reviews, automated testing, documentation and adherence to software development standards., • Take ownership of the technical architecture and engineering processes., • Collaborate closely with a small startup team. To thrive in this role: We expect you to: • Be comfortable with variety and shifting priorities. Early-stage companies require adaptability, and you'll be working across very different types of tasks., • Take ownership of outcomes, not just tasks. You'll be given problems to solve, not always detailed instructions on how to solve them. We'll provide context and support, but you should be confident running with work and coming back with solutions or thoughtful questions., • Balance quality with speed. Early-stage work requires knowing when "good enough" is better than "perfect but late"., • Ask questions and challenge ideas respectfully. We value curiosity and constructive input across the team. We value people who bring their perspective and aren't afraid to ask "why?" or "what if we tried...?". Equally they are comfortable with their ideas also being respectfully questioned. We put the problem being tackled in the middle. What you'll need to do this job: • Full-stack: Proven experience in full-stack software development. We are using Python (REST & GraphQL) for the backend, React for the frontend., • Cloud architecture design: Proven experience in scalable cloud architecture design., • API design: Solid understanding API design (REST & GraphQL)., • SQL/NoSQL databases: Experience working with SQL (Postgres) and / or NoSQL databases., • AWS: Familiarity with the AWS Serverless stack and event driven architectures., • Customer Mindset: We value engineers who have a strong product and customer-centric mindset., • Communication: Excellent communication and collaboration skills to explain ideas clearly., • Collaborative and low-ego approach: You contribute positively to team culture and work well with others., • Agile: Comfortable with very lean/agile processes. We want you to be involved in all phases of the development lifecycle and bring your unique talents to the process., • DevOps: Experience with DevOps including setting up and managing CI/CD pipelines and terraform deployment., • AI enabled: Comfortable with leveraging AI to better assist developer workflows and rapid prototyping, • Testing: A strong testing mindset. If you think you meet most of the criteria, please get in touch! Experience we'd love to see: • Experience in developing high-scalability systems, • Experience with IoT data collection and processing pipelines. We are using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB., • Experience with integration of 3rd-party systems, • Experience with statistical modelling, ML optimisation & forecasting, • Strong data analytics skills, • Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative, • Experience working on (renewable) energy products or telemetry producing systems Location: • United Kingdom, Remote full-time, • We are remote first. We meet regularly (around once a quarter at least)., • We can’t currently support visas so you must have the right to work in the UK., • Preference for 1hr travel proximity to Edinburgh or Oxford to meet semi-regularly to work with founders or Head of Product. Remuneration: • £55,000 to £70,000/year salary depending on experience, • Share options in Logiq Systems

Quiet Mark - Technical Executive Who We Are Quiet Mark stands at the intersection of science and well-being, leading a global initiative, towards a quieter, healthier world. We are more than just a certification programme; we are a movement devoted to transforming everyday environments into spaces of peace and comfort through quieter appliances, technologies and solutions to unwanted noise. Recognised worldwide, we are committed to empowering consumers and industries with the knowledge and resources needed to reduce noise pollution. Our dynamic, dedicated team finds motivation in the pursuit of a more peaceful, harmonious world, and we thrive on innovative thinking and collaboration. Quiet Mark is the next generation certification programme and closely associated commercial support to the Noise Abatement Society charity. Established in 1959 the NoiseAbatement Society (NAS) is the only charity NGO in the UK, indeed the world, that specialises in every aspect of sound - how it affects us and how the sounds that we make affect others, with a shared singular remit to solve noise pollution worldwide. As the business expands rapidly we are seeking individuals who share our commitment to this mission. In joining us, you’ll be part of a dynamic purpose-led organisation, re-establishing the value of quiet in our everyday lives to shape a better future for all. Who You Are You are a motivated and detail-focused individual with a strong interest in technical processes, product testing, analytics and data-driven work. You are eager to learn quickly and develop your understanding of testing, certification, and product qualification within a fast-paced and growing business. You are naturally proactive, adaptable, and dependable, with the ability to balance teamwork and independent working. You take pride in accuracy and organisation, and you are confident working with data, spreadsheets, and structured systems to support technical operations. You enjoy collaboration and building positive working relationships, while also being comfortable taking ownership of tasks and seeing them through with minimal supervision. You are curious, hands-on, and flexible, willing to get involved in a wide range of duties as the role evolves. As part of a growing international organisation, you are excited by the opportunity to work with global manufacturers across multiple sectors and markets, contributing daily to a busy UK HQ team where no two days are the same. The Role Product Testing & Certification Support • Assist with the testing and qualification of appliances, technologies, and products for Quiet Mark certification, • Support the Technical Manager in reviewing products against certification criteria and technical requirements, • Contribute to the end-to-end certification process, ensuring accurate documentation and tracking of product status Testing Coordination & Logistics • Arrange and coordinate test days at QM with overseas testing partners and external laboratories, • Manage scheduling, preparation, and logistical coordination for Quiet Mark HQ and product testing activities, • Oversee the receipt of incoming test samples and ensure correct handling, storage, and tracking, • Organise the return of tested products to manufacturers in a timely and efficient manner Data, Systems & Category Management • Maintain and regularly update large-scale databases covering hundreds of product categories, including home technologies and building sector classifications, • Ensure category data is reviewed and updated on a weekly basis to reflect the most current information, • Work closely with internal teams to ensure consistency and accuracy across all product records and systems, • Support the licensing team in updating product information within internal databases and data management systems, • Provide regular updates and reports to team members on category changes, product status, and database developments Technical & Building Sector Support • Assist in processing building sector acoustic assessments in collaboration with the Technical Manager and/or Certification and Building Sector Managers, • Support the interpretation and organisation of technical assessment data for building-related product categories, • Help ensure alignment between building sector evaluations and Quiet Mark certification standards Internal & External Communication • Support the Technical Manager with responses to public and technical enquiries, ensuring accurate and timely information is provided, • Assist in maintaining clear communication between internal teams, external laboratories, manufacturers, and stakeholders, • Ensure all relevant parties are kept informed of testing progress, outcomes, and product status updates Key Skills & Qualifications • Good general level of education. Maths, science and technical degree being a bonus, • Fully competent in MS Excel and other basic software, • Ideally experienced in corporate technology or acoustics sector or similar, • Preference would be given to individuals with technical experience as a technical assistant and interest in acoustics, science, products, technology is preferable, • Demonstrable ability to learn quickly, absorb new skills, and keen to train in an exciting new field of expertise, • Excellent time management skills and attention to detail, • Experience of fast paced work environment and meeting deadlines, • Can follow instructions and procedures accurately, with positivity and in a timely, professional and efficient manner Perks • Salary: - £25,000 - £28,000 according to experience, • Contributory Pension, • Holidays: 25 Days plus Bank Holidays, • Location: This role is primarily remote and home based, however we require the candidate to live within a comfortable regular commutable distance of the ‘Quiet House’ U.K. HQ labs based in Hassocks, West Sussex

About Quantiphi Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We’ve been recognized with • 17x Google Cloud Partner of the Year awards in the last 8 years., • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • 2x Snowflake Partner of the Year awards., • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit:______ or___. Role: Cloud Data Architect Experience Level: 8-10+ years Work Location: United Kingdom (Remote) Job Overview: We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS. This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs. The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning, • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift, • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss, • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems, • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR, • Architect and implement scalable, secure, and highly available data platforms on AWS, • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable), • Optimize performance of source and target systems pre- and post-migration, • Manage and govern S3-based data lakes and metadata using Glue Data Catalog, • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization, • Implement monitoring, rollback, and failure recovery mechanisms, • Ensure adherence to security, governance, and compliance standards Required Skills: • 8+ years of experience in database migration and data engineering, • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud), • Strong hands-on expertise with: AWS DMS (Database Migration Service), AWS SCT (Schema Conversion Tool), AWS Glue (ETL & data integration), Amazon Redshift (data warehousing), • Experience designing and implementing data validation and reconciliation frameworks, • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent), • Deep proficiency in SQL and data modeling concepts, • Experience working with S3-based data lakes and Glue Data Catalog, • Strong understanding of CDC, transaction consistency, and migration cutover strategies, • Hands-on experience with performance tuning, schema design, and query optimization, • Proficiency in Python/PySpark and scripting (Shell/Python), • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent), • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks, • Familiarity with Data Mesh and cross-account data sharing architectures, • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.), • Knowledge of Infrastructure as Code (Terraform / CloudFormation), • AWS Certifications (Solutions Architect / Data Engineer), • Experience in mentoring teams and leading large-scale migration programs. What’s in it for YOU at Quantiphi: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Data is our superpower—not just for insight, but for building intelligent, scalable products. We’re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering. You’ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation. You’ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions. What You’ll Be Doing Today: Driving Commercial Impact with Data • Lead end-to-end data science projects that deliver measurable business outcomes, • Work hands-on with data analysis, modelling, and experimentation, • Translate business challenges into analytical solutions and clear insights, • Partner with stakeholders across commercial, product, and engineering teams, • Embed data into decision-making across the organisation, • Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities • Design and develop AI-powered features such as assistants, copilots, and intelligent workflows, • Build and deploy Retrieval-Augmented Generation (RAG) pipelines, • Apply NLP techniques to structure and unlock value from unstructured text, • Develop semantic and hybrid search solutions (vector + keyword), • Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy • Help define how AI becomes embedded in our core product offering, • Influence product strategy through data and AI capabilities, • Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration), • Establish best practices for experimentation, evaluation, and model performance, • Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We’re Looking For Core Data Science Expertise • Strong experience as a Data Scientist in a SaaS or data-rich environment, • Proven track record of delivering commercially impactful solutions, • Expertise in experimentation, statistical analysis, and modelling, • Strong SQL and data manipulation skills, • Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability • Strong Python skills and experience building data/ML pipelines, • Experience developing APIs or production-grade systems, • Hands-on exposure to LLMs and prompt engineering, • Understanding of RAG architectures and NLP pipelines, • Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence • Excellent stakeholder management and communication skills, • Ability to translate complex technical work into business value, • Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth • Experience mentoring or supporting junior team members, • Interest in shaping standards, tools, and ways of working, • Motivated by building both immediate impact and long-term capability, • Docker, Kubernetes, or scalable deployment environments, • Background in building AI-powered or search-driven products Why Join Us? • Immediate impact: Deliver high-value data science work from day one, • Future-facing: Help build real AI products—not just models in notebooks, • Ownership: Shape both what we build and how we build it, • Growth: Evolve into a key leader in AI and data strategy, • Environment: Fast-moving, collaborative SME where data and AI are core to success

Salary 40,000 to 45,000 DOE Data Analyst- Saga Travel Salary 40,000 to 45,000 DOE FT- 35 hours per week Permanent Hybrid- Folkestone (3 days a week in the office) Saga Travel is looking for a Data Analyst to join our growing Data & Analytics team. Working closely with the Senior Data Analyst and partnering with stakeholders across Commercial, Finance and the wider business, youll help translate business questions into clear, reliable reporting and insights. This role is ideal for someone with experience developing and delivering management reports, using tools such as Power BI, who has a good understanding of SQL and a strong desire to continue learning and growing as an analyst. Youll be responsible for building reporting solutions end-to-end, from understanding stakeholder requirements through to delivering dashboards that support key business decisions. Saga Travel is uniquely positioned in the travel market, with rich and distinctive datasets centred around the over-50s demographic. This provides a rare opportunity to work with interesting data that you wouldnt typically encounter elsewhere. As part of a team we are building for the future, this role offers the chance to develop your technical skills, stakeholder management capability, and analytical impact as we continue modernising how data is used across the business. This role requires you to be working from our Folkestone office a minimum of 3 times a week. We have designated office space for colleagues in our Travel business, allowing us to collaborate and share success as a function. Role Responsibility • Partner with stakeholders across Trading, Finance and the wider business to understand reporting needs, define KPIs, and translate business questions into effective analytics solutions., • Design, build and maintain a suite of clear, reliable dashboards and management reports using Power BI., • Use SQL and BI tools to conduct ad-hoc analysis that explains business performance and supports data-driven decision making., • Interpret trends and patterns in data, turning analysis into clear insights and recommendations that support trading performance and wider business outcomes., • Ensure the accuracy and quality of reporting by working closely with Data Engineering to identify and resolve data issues., • Communicate insights effectively to stakeholders, helping them understand not just what the numbers show, but why they matter and what actions to take., • Support the adoption of self-serve analytics by providing guidance and training to business users., • Experience working in a BI or Data Analyst role, delivering dashboards or reports that support business decision-making., • Experience building reports in Power BI or Tableau, with an understanding of data modelling and the ability to work with measures or calculations (e.g. DAX)., • Working knowledge of SQL for querying and exploring data., • Experience developing and delivering reporting solutions end-to-end, from gathering requirements through to sharing insights with stakeholders., • Strong stakeholder engagement and communication skills, with the ability to translate business questions into clear reporting and analysis., • A curious and proactive problem-solver who enjoys exploring data and identifying meaningful insights., • Good organisation and prioritisation skills, able to manage multiple requests and deadlines., • An interest in continuing to develop technical and analytical skills as part of a growing analytics team. BENEFITS AVAILABLE FOR THIS ROLE: • 25 days holiday + bank holidays, • Option to purchase additional leave - 5 extra days, • Pension scheme matched up to 10%, • Company performance related annual bonus - Up to 5%, • Life assurance policy on joining us, 4 x salary, • Wellbeing programme, • Colleague discounts including family discounts on cruises, holidays and insurance, • Range of reductions and offers from leading retailers, travel groups and entertainment companies, • Enhanced maternity and paternity leave, • Grandparents leave, • Income protection, • Access to Saga Academy, our bespoke learning platform About the Company Over the past 70 years we have become the UK's specialist provider of products and services to people aged over 50 in the UK. The Saga brand has become one of the most recognised and trusted brands amongst UK consumers in this demographic, recognised for its high quality products and exceptional standards of service. These include cruises and holidays, insurance, personal finance and the Saga Magazine.At Saga we are committed to treating all employees fairly and to offering equal opportunities in all aspects of employment and advancement. We value diversity not just because it is the right thing to do, but because diverse teams perform better.Fair consideration is given to applications from all applicants, including those with disabilities and those over who are over 50 as we are champions of age inclusivity. We are an official Disability Confident Committed employer and ensure that our recruitment process is inclusive and accessible and we will make reasonable adjustments as required. For more information on our DEI policies please visit our Saga Careers page.Saga does not accept agency CVs unless specifically engaged on the role by the Talent Acquisition Team. Please do not forward CVs to our recruiters, employees or any other company location. Saga will not be responsible for any fees related to CVs received in this unsolicited manner.Job Reference: saga/TP/ /3467

Financial Modeller Hamilton, Glasgow Join a leading utilities company that champions innovation and service excellence. At Last Mile, we take pride in delivering high-quality solutions across the multi-utility sector. Our Finance team is growing, and we're excited to welcome a talented Financial Modeller to join us. As a Financial Modeller, youll be part of a hybrid role that combines financial modelling expertise with advanced data science techniques to provide comprehensive financial insights and predictive analytics. The ideal candidate will have a strong background in both finance and data science, with the ability to leverage data-driven approaches to enhance decision-making processes. You will be responsible for owning and pro-actively maintaining the Group financial model, delivering critical insight and enabling the business to make informed strategic decisions. As the sector is expecting unprecedented level of investments in the coming years, this is an exciting opportunity to help shape and make a real impact to the business. Whats in it for you as a Financial Modeller? Here at Last Mile, we pride ourselves in providing a great range of benefits including a fantastic amount of annual leave, including a Christmas shut down. 25 days holiday, increasing after 2 years by 1 day each year up to 30 days, plus 9 public holidays Holiday buy scheme Discretionary bonus EV and ULEV salary sacrifice scheme (subject to minimum length of service) Cycle to work salary sacrifice scheme Up to 7% employer pension contribution Volunteering Day Life assurance (x4 annual basic salary) Retail, travel and leisure discounts via our MilesMore benefits platform Refer a friend incentive Stream Financial wellbeing platform Employee assistance programme Car allowance Hybrid working* Flexible start and finish times for eligible roles* Private medical insurance* Company sick pay* Your responsibilities as a Financial Modeller: Developing and maintaining complex financial models to facilitate the accurate and timely consolidation of all financial data from within the group, demonstrating their impact on our financial and financing ratios and overall valuation of the business The candidate should be able to gather data from various sources and support in the production and maintenance of data architectures such as databases and other processing systems that populate the financial model. Utilise machine learning algorithms and statistical methods to analyse large datasets. Presenting data and modelling results to a variety of senior internal and external stakeholders Work alongside external stakeholders on a regular basis in developing valuation reviews Rigorously identifying and resolving any inconsistencies or discrepancies in financial data/modelling, with a continuous improvement mindset, always looking for ways to enhance data quality, efficiencies and reliability of data. Supporting the Group Finance Team in the preparation of group-level financial reports, including board presentations and external reporting requirements. Participating in financial planning and forecasting initiatives to support the group's strategic goals Must maintain a good knowledge of the changes to the price regulatory model. Leading on financial analysis for shareholders, as required Candidate Requirements: Experience / Knowledge: Experience building complex financial models over long-term planning horizons, ideally within a financial institution, regulated utility or similar organisation with a complex capital structure Ability to analyse large volumes of financial data to identify trends, using statistical methods and key financial and non-financial performance indicators Proven experience gathering requirements from a range of stakeholders and incorporating these into financial models Confident presenting data to a variety of stakeholders, including senior leaders, and able to respond to detailed queries Advanced Excel skills including use of MATCH and INDEX, debt modelling, multi-level data structures, output design and a strong understanding of DCF valuation and sensitivities Strong programming skills in Python, R or similar Experience working with machine learning techniques and statistical analysis Qualifications Bachelors degree in Finance, Economics, Data Science, Statistics, or a related field. Master's degree preferred. CFA or Chartered Accountancy qualification preferred. Have you got the drive to go to the Last Mile as a Financial Modeller? Apply now! We aim to keep candidates informed throughout the process and encourage you to apply promptly as we may close the vacancy early if sufficient applications are received. About us: Last Mile is one of the largest last-mile multi-utility businesses in the UK. We understand construction and we know utilities. We design, build, own, and manage the last mile of essential utilities infrastructure. With a proven history of delivering multi-utility connections across Great Britain, we provide a full suite of utility infrastructure, including clean heat networks, electricity, gas, water, wastewater and fibre. With a strong track record, deep industry knowledge and solid investor backing, we take a forward-thinking approach to the complex economic, social and environmental challenges of today, to innovate for a better tomorrow. Through Last Mile and our asset adoption businessLast Mile Asset Management, we provide a one-stop shop for new utility connections. Were proud to be both aGreat Place to Workcertified business and a Living Wage Employer, reflecting our commitment to supporting and valuing our people. For further enquiries, visit our website at At Last Mile, we are proud to be an equal opportunities employer. We consider all applications solely on the basis of skills and experience and actively encourage candidates from all backgrounds to apply. TPBN1_UKTJ

About Accelerant Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit ___. Full Stack Software Engineer - Data Observability & Operational Tooling Accelerant is building a new platform that will serve as the backbone of how risk is exchanged in the future. The Data Observability team is looking for a Full Stack Software Engineer with a front-end emphasis to build and serve the internal operational tooling and data observability capabilities that power our data platform. This is a unique role: you'll be a software engineer embedded within a data analytics engineering team, working with a high degree of independence to design and deliver tooling that makes data pipelines visible, actionable, and trustworthy for stakeholders across the business. What you'll be doing • Designing and building front-end interfaces for internal operational tooling, including dashboards, data observability views, and stakeholder communication surfaces, • Developing rich data visualizations that surface pipeline health, data quality metrics, and business KPIs to technical and non-technical audiences, • Building and maintaining backend services that support operational tooling, integrating with data infrastructure such as Snowflake, dbt, and monitoring platforms, • Collaborating closely with data engineers, analytics engineers, and business stakeholders to translate data observability requirements into intuitive, high-quality interfaces, • Working independently as a software engineer within a data-focused team, driving technical decisions for the tooling layer while leveraging other full stack teams across the organization for guidance and support, • Shipping iteratively, balancing speed of delivery with code quality, maintainability, and scalability What you bring to the table • Experience building and scaling web applications, with particular strength in front-end development, • Strong understanding of modern JavaScript/TypeScript frameworks and component-based architectures, • Comfort working with data-heavy interfaces: tables, charts, filters, and interactive visualizations, • Ability to work independently and drive projects end-to-end with minimal oversight, • Strong coding ability and a track record of shipping high-quality software, • Excellent communication skills, with the ability to collaborate effectively with data engineers, product managers, and business stakeholders, • Passionate problem-solving mindset and a strong sense of ownership. Desired qualifications • Experience with TypeScript, • Experience with Svelte, or equivalent modern component framework (React, Vue), • Experience building data visualization and dashboard interfaces (e.g., D3.js, Chart.js, Plotly, or similar), • Experience with cloud platforms such as AWS, • Familiarity with data platforms and tools such as Snowflake, dbt, or similar analytics infrastructure, • Experience with SQL and comfort working with analytical data sets, • Experience with Python is a plus, given the data team's tooling ecosystem, • Experience with monitoring and observability platforms (e.g., Datadog, Grafana) is a plus.

About the Company CCL Energy Group is one of the UK's leading distributors of renewable energy products, supplying solar panels, battery storage systems, and associated electrical equipment to installers, contractors, and end consumers across the country. As the clean energy transition accelerates, we are growing rapidly — expanding our digital infrastructure, our product range, and our geographic reach across Europe. About the Role This is a high-impact, senior leadership role at the intersection of digital commerce and the renewable energy revolution. As Ecommerce Manager, you will own the full ecommerce function — from platform strategy and team development to performance optimisation and international expansion. You will work at the heart of the business, collaborating with technology, sales, marketing, and operations to ensure our digital channels become a primary engine of growth. Responsibilities • Strategic Leadership & Vision, • Define and execute a compelling ecommerce strategy aligned to CCL Energy Group's growth ambitions in the UK and European markets., • Serve as the internal champion for digital commerce, influencing senior stakeholders and embedding a customer-first, data-driven culture across the business., • Identify new commercial opportunities — new channels, new markets, new product categories — and build the business case for investment., • Team Management & Development, • Lead, mentor, and grow a dedicated ecommerce team, setting clear objectives, fostering accountability, and building high performance., • Recruit and develop talent as the team scales, ensuring the right skills are in place to meet evolving business needs., • Act as the primary point of collaboration with internal development teams, briefing technical work clearly and managing delivery to time and quality., • Platform Management — Magento 2, • Take ownership of the company's Magento 2 platform, driving continuous optimisation of functionality, performance, and user experience., • Oversee the roadmap for platform development, working closely with developers to plan, prioritise, and deliver improvements and new features., • Ensure platform stability, security, and scalability — proactively managing technical debt and anticipating future requirements., • Lead the evaluation and implementation of third-party integrations, extensions, and tools that enhance platform capability., • Digital Strategy, SEO & Paid Media, • Develop and oversee integrated digital marketing strategies encompassing SEO, SEM/PPC, email, and content — driving qualified traffic and improving conversion., • Own the SEO roadmap, ensuring strong organic visibility for core product categories and new market entries., • Manage paid search and digital advertising budgets efficiently, optimising for ROI across both B2B and B2C audiences., • Customer Experience & Conversion, • Take end-to-end ownership of the online customer journey — from first discovery through to post-purchase — for both trade and consumer customers., • Continuously test and optimise site content, navigation, product pages, checkout flow, and merchandising to improve conversion rates., • Ensure the platform delivers a differentiated, professional experience that reflects the quality of CCL Energy Group's products and service., • Analytics, Reporting & Performance, • Establish a robust analytics framework, tracking and reporting on all key ecommerce KPIs to senior leadership on a regular cadence., • Use data to drive decisions — identifying trends, diagnosing underperformance, and capitalising on growth opportunities., • Build a culture of testing and iteration, using A/B and multivariate testing to continuously improve outcomes., • Cross-functional Collaboration, • Work closely with sales teams to ensure the ecommerce function supports and complements trade account relationships and B2B customer needs., • Partner with marketing on campaigns, product launches, and promotional activity — ensuring consistency of message and maximising digital impact., • Collaborate with operations and procurement to ensure product data accuracy, stock visibility, and fulfilment integration are maintained at a high standard., • International Expansion, • Play a leading role in planning and executing the expansion of the ecommerce operation into European markets, adapting strategy for local requirements., • Work with commercial and logistics teams to ensure the platform, pricing, and fulfilment are configured to support multi-country trading effectively. Qualifications • Proven track record of leading and growing an ecommerce function, with demonstrable results in revenue growth and platform improvement., • Hands-on experience with Magento 2 — including platform management, roadmap ownership, and working with development teams on implementation., • Strong commercial acumen with the ability to develop and execute strategy, build business cases, and manage budgets effectively., • Experience managing and developing ecommerce or digital teams, with a track record of building capability and driving performance., • Solid understanding of SEO principles, paid digital channels (PPC/Google Ads), and digital marketing best practices., • Data-driven mindset — confident working with analytics platforms (e.g. Google Analytics 4), drawing insights from data and using them to drive decisions., • Excellent understanding of both B2B and B2C customer journeys and how to optimise the online experience for different audience types., • Strong project management skills — able to manage multiple workstreams, prioritise effectively, and deliver against targets in a fast-moving environment., • Clear and confident communicator, comfortable presenting strategy and performance updates to senior leadership. Required Skills • Experience in the renewables, clean energy, or electrical distribution sector., • Background in B2B ecommerce, trade portals, or account-based selling environments., • Experience managing or supporting ecommerce expansion into European markets., • Familiarity with ERP or inventory management system integrations within an ecommerce context., • Knowledge of multilingual or multi-currency platform configuration., • Experience with CRO tools and A/B testing platforms. Pay range and compensation

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

Central Employment are working closely with an established and expanding full-service Digital Marketing Agency, based in Glasgow as they look to appoint a proven and knowledgeable PPC Account Manager. Glasgow based x 3 days a week, x 2 days from home Circa £35,000 DOE benefits PPC Account Manager: Are you a data-driven PPC expert with a passion for delivering measurable results? Were looking for a PPC Specialist to join our digital marketing team and drive performance across multiple platforms, reporting into the Head of Search. This is a key strategic role with hands-on responsibility for campaign planning, execution, optimization, and reporting. Key Responsibilities: Lead and manage paid search campaigns across Google Ads, Microsoft Ads (Bing) specifically. Plan, execute, and optimize PPC strategies to achieve ROAS, CPA, and lead generation goals. Conduct keyword research, audience targeting, and competitive analysis. Create compelling ad copy and creative briefs that drive engagement and conversions. Monitor and analyze campaign performance using tools like Google Analytics, Ads Manager, and third-party reporting platforms. A/B test ad variations, landing pages, and targeting strategies. Provide regular performance reports and strategic insights to stakeholders. Stay up to date on digital advertising trends, algorithm changes, and platform updates. Requirements: 3 years of experience in PPC campaign management. Operated within a full-service digital marketing agency setting Proven track record of success across Google Ads, Microsoft Ads Strong analytical skills and proficiency with Google Analytics, Google Tag Manager, and reporting dashboards. Experience managing large budgets and scaling campaigns profitably. Ability to write compelling ad copy and understand creative performance metrics. Strong attention to detail, organization, and project management skills. Excellent communication and reporting skills.

Ideas People Trust If the following job requirements and experience match your skills, please ensure you apply promptly. We're BDO. An accountancy and business advisory firm, providing the advice and solutions entrepreneurial organisations need to navigate today's changing world. We work with the companies that are Britain's economic engine - ambitious, entrepreneurially-spirited and high growth businesses that fuel the economy - and directly advise the owners and management teams that lead them. We'll broaden your horizons Our Shared Service Centre team (SSC) provides essential support to a number of teams across our firm. As well as assisting on large-scale operations, beyond the capacity of a core specialist team, they provide the unparalleled expertise we need to keep moving forward. As part of this friendly department, you'll have the chance to work on exciting projects and develop your skillset. There's real opportunity, making it a great chance to use industry knowledge and experience to solve problems in your next career step, or it can be a place to learn if you're just starting out. If you want to work on important projects and explore your potential, we'll give you the friendly, supportive working environment to go far. We'll help you succeed Leading organisations trust us because of the quality of our advice. That quality grows from a thorough understanding of their business, and that understanding comes from working closely with them and building long-lasting relationships. You'll be someone who is both comfortable working pro-actively and managing your own tasks, as well as confident collaborating with others and communicating regularly with senior managers, directors, and BDO's partners to help businesses effectively. You'll be encouraged to identify and draw attention to opportunities for enhancing our delivery and providing additional services to organisations we work with. The firm is looking to recruit a Learning and Development Administrator to support BDO's Shared Service centre (SSC). This team is one of several Hubs within BDO's rapidly growing SSC. SSC team members work internally within the business providing support to the external facing members of BDO. To provide support for the overall PQ (Professional Qualifications) Group service delivery, to ensure the needs of internal customers and SLAs are met. To develop as a subject matter expert for L&D administration and represent industry best practice. Working closely with the Professional Qualifications and SSC L&D Team to manage central administration and enable the analysis of the learning offering. This role reports into the Learning and Development Team Leader. You'll be someone with: • Experience of working with learning management systems, • Experience of working with external vendors and managing billing, invoicing and service level agreements, • Excellent IT / Excel skills, • Strong stakeholder engagement and experience of collaborative working in a Centre of Excellence Model preferable, • Experience of learning analytics and interpretation of data to produce meaningful reports and information We're in it together Mutual support and respect is one of BDO's core values and we're proud of our distinctive, people-centred culture. From informal success conversations to formal mentoring and coaching, we'll support you at every stage in your career, whatever your personal and professional needs. Our agile working framework helps us stay connected, bringing teams together where and when it counts so they can share ideas and help one another. At BDO, you'll always have access to the people and resources you need to do your best work. We know that collaboration is the key to creating value for the companies we work with and satisfying experiences for our colleagues, so we've invested in state-of-the-art collaboration spaces in our offices. BDO's people represent a wealth of knowledge and expertise, and we'll encourage you to build your network, work alongside others, and share your skills and experiences. With a range of multidisciplinary events and dedicated resources, you'll never stop learning at BDO. We're looking forward to the future At BDO, we help entrepreneurial businesses to succeed, fuelling the UK economy. Our success is powered by our people, which is why we're always finding new ways to invest in you. Across the UK thousands of unique minds continue to come together to help companies we work with to achieve their ambitions We've got a clear purpose, and we're confident in our future, because we're adapting and evolving to build on our strengths, ensuring we continue to find the right combination of global reach, integrity and expertise. xrnqpay We shape the future together with openness and clarity, because we believe in empowering people to think creatively about how we can do things better.

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