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Senior Data Engineer £70,000-£90,000 Manchester (Hybrid) This is an exciting opportunity to join a growing tech scale-up where data is at the heart of their product. You will play a key role in shaping their data infrastructure, enabling large-scale machine learning and real-time analytics that directly impact their customers. THE COMPANY They are a high-growth SaaS organisation operating in the digital advertising space. Their platform helps customers optimise performance through advanced analytics, real-time behavioural insights and machine learning. With a collaborative engineering culture and strong investment backing, they are building scalable data systems to support rapid product expansion. THE ROLE As a Data Engineer you will take ownership of the company's core data pipelines, transforming large-scale event data into reliable, ML-ready datasets that power real-time decisioning and analytics across the business. Specifically, you can expect to be involved in the following: • Design and manage data ingestion pipelines that feed into their cloud data warehouse., • Build and maintain pipelines that prepare data for machine learning and analytics use cases., • Restructure/improve existing datasets to ensure they are reliable, performant and ML-ready., • Work closely with Data Science and Platform Engineering to productionise models and improve data foundations., • Proven ability to work with high-volume event data at scale. SKILLS AND EXPERIENCE The successful Data Engineer will have the following skills and experience: • Strong commercial experience in Python, SQL and cloud-based data engineering., • Hands-on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis., • Understanding of streaming data, system performance and cost-efficient architecture. The successful Data Engineer will receive the following benefits: • Salary between £70,000 - £90,000 - depending on experience. Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Data Engineer - Manchester (Hybrid) Skills - Data Engineer, SQL, ETL, Python, AWS If you enjoy solving messy data problems and turning them into clean, reliable pipelines, this could be worth a look. We're working with a growing tech business in Manchester that builds large scale data platforms used by major global organisations. Their product is built around real world data and analytics, and they're expanding the engineering team that keeps everything running smoothly behind the scenes. They're now looking for a Data Engineer to help develop and support the data pipelines that power customer reporting and analytics. You'll be working with large datasets, building ETL processes, improving performance, and generally making sure the data is accurate, reliable and scalable. It's a collaborative environment where engineers are trusted to solve problems, suggest improvements, and get involved in shaping how the platform evolves. What you'll be doing You'll spend your time building and improving data pipelines, working with both batch and real time processing across large datasets. A typical week might involve: • Writing and improving ETL jobs, • Working with Python and SQL to process and transform data, • Investigating and fixing tricky data issues, • Improving pipeline performance and reliability, • Collaborating with product and engineering teams to turn requirements into working data solutions, • Reviewing code and sharing knowledge across the team What they're hoping you'll bring You don't need to tick every box, but the sort of background that tends to work well here includes: • Experience working as a Data Engineer or in a similar data focused role, • Strong Python and SQL skills, • Experience working with cloud platforms (AWS or similar), • Confidence working with large datasets and complex data problems, • An interest in improving pipelines, tooling and processes The setup The team works on a hybrid basis from Manchester, usually spending two days a week in the office and the rest wherever you're most productive. There's also a shared on call rota once you're settled in, with additional compensation for this. For further details and to apply, please get in touch with jon.brass @ Circlerecruitment.com Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter - @Circle_Rec and LinkedIn - Circle Recruitment.

Data Engineer £65,000 to £75,000 basic salary per annum plus an excellent benefits package including bonus, pension, 25 days holiday (can buy up to 10 additional days), two wellness days, two volunteering days, healthcare scheme, excellent career development plans (courses & certifications), hybrid working (1–2 days per week in the office), and more. Our client, a leading UK law firm ranked as one of the best companies to work for in the country, is seeking a Data Engineer to join their growing AI team on a permanent basis. This is a fantastic opportunity to join an innovative law firm where the utilisation of AI has become fundamental to their business strategy. Reporting to the Head of AI & Innovation, and working with a small team of Data Engineers, you will play a key role in building a greenfield Azure / Fabric-based data platform to support firm-wide analytics and client-facing AI products. The successful Data Engineer will have experience across cloud and on-prem technologies and a keen, demonstrable interest in working with AI. Essential skills: • At least 5 years of Data Engineering experience, • A proven end-end project leader across all aspects of the project lifecycle, • SQL, • Python, • Cloud (Azure) and on-prem technologies If you are interested, please click the “apply now” button. Add me on LinkedIn to stay up to date with new opportunities - search “Ollie Cottrill” and you’ll easily find me. Coaction Recruitment Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers.

Data Products Engineer - Contract - 6 months + Data Engineer / Data Analyst / Analytics / SQL / Python Not every data role is about dashboards or ad-hoc analysis. This one is for someone who enjoys getting close to the data itself taking messy, real-world raw data and turning it into clean, reliable datasets that other teams and clients can actually trust and use. It's a hands-on role sitting at the intersection of data modelling, quality and product thinking, with plenty of ownership and room to influence how data products are designed and evolved. What you'll be working on You'll be part of a Data Products team responsible for shaping behavioural data into well defined, client ready datasets. Day to day, you will: • Design and evolve data schemas and fields, turning product requirements into clear, well modelled datasets, • Build and maintain data feeds using SQL, Python and internal (AI-assisted) tooling, • Apply business logic, validation rules and quality checks across large datasets, • Investigate data issues and improve reliability, consistency and trust in the outputs, • Work closely with Product, Data Engineering, Apps and ML teams to deliver new features and improvements Who this role suits This role is a good fit if you: • Enjoy working hands on with data rather than sitting at arm's length from it, • Like figuring out how real-world digital behaviour should be represented cleanly, • Care about data quality, edge cases and consistency, • Are comfortable collaborating with engineers, product managers and non technical stakeholders, • Strong SQL skills and experience working with large datasets, • Experience with at least one data-friendly language (such as Python), • A high level of attention to detail, • Experience with event-level or behavioural data (web, apps, ads, etc.), • Awareness of privacy and governance considerations, • Familiarity with AWS-based data stacks (S3, Spark/EMR, Athena, Airflow, notebooks) How you'll work • Hybrid role, Manchester-based, • 2 days per week in the office, the rest flexible For further details and to apply, please send your CV to jon.brass @ circlerecruitment.com Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter - @Circle_Rec and LinkedIn - Circle Recruitment.

DevOps Engineers (x2) – April Start We’re currently looking for 2 experienced DevOps Engineers to join a fast-moving, cloud-first environment on an initial 3-month contract, starting April 7th. This is a hands-on DevOps role working across a modern, multi-cloud platform with a strong focus on automation, scalability, and reliability. You’ll be collaborating with engineering teams to support and enhance cloud infrastructure and deployment pipelines. Tech Stack & Environment Cloud & Infrastructure * Microsoft Azure (primary cloud platform) * Azure Kubernetes Service (AKS) * Azure PostgreSQL (Flexible Server) * Azure Cache for Redis * Azure Front Door & DNS Zones * Key Vault, Storage Accounts * Azure Entra ID & Privileged Identity Management (PIM) * Multi-cloud exposure: * AWS (CloudFront, Route 53, S3 – partial service) * Google Cloud Platform (BigQuery for analytics) DevOps & CI/CD • GitHub repositories & workflows, • Shared GitHub Actions pipelines, • Public and private repositories Monitoring & Observability, • Prometheus, Grafana, Alertmanager, • Logit.io, • StatusCake, • Azure Monitor Alerts, • Sentry (service-level monitoring) What We’re Looking For, • Strong hands-on experience with Azure DevOps tooling and services, • Solid understanding of Kubernetes (AKS preferred), • Experience with CI/CD pipelines (GitHub Actions), • Familiarity with multi-cloud environments (AWS/GCP beneficial), • Experience with monitoring and observability tools, • Ability to work in a collaborative, fast-paced environment Contract Details, • Start Date: ASAP, • Duration: Initial 3 months

Senior Data Engineer £65,000 - £75,000 Manchester or Leeds (Hybrid) This is an opportunity to join a growing, modern banking organisation that is investing heavily in its data platform as it scales. You will have a real impact on how data is engineered, governed and made ready for analytics and AI across the business. THE COMPANY They are a UK-licensed banking organisation offering commercial banking, SME lending and financial infrastructure to a wide network of fintech clients. THE ROLE As a Senior Data Engineer, you will join the Data and AI function and take ownership of core data engineering work while shaping best practices and supporting the wider team. Specifically, you can expect to be involved in the following: • Designing and building scalable ELT and ETL pipelines across a cloud environment., • Developing curated data models to support analytics, reporting and operational use cases., • Improving performance, cost efficiency and reliability of the cloud data warehouse., • Embedding data quality, observability and governance controls. The successful Senior Data Engineer will have the following skills and experience: • Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM., • Proficiency in SQL and Python for data processing and orchestration tools such as Airflow, • Experience with modern modelling approaches and tooling such as dbt. The successful Senior Data Engineer will receive the following benefits: • Salary between £65,000 - £75,000 - depending on experience Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Data Engineer Manchester (Hybrid) £55,000-£60,000 Our client is an established, fast-growing digital business on a mission to transform the way customers access financial products. With a large team of people across multiple locations, the organisation prides itself on an innovative, data-driven culture where teams are empowered to work autonomously, collaborate effectively, and continuously improve. The environment is energetic, modern, and forward-thinking, with a strong focus on solving complex customer problems and redefining what a seamless digital experience looks like. This is an exciting opportunity to join a business investing heavily in its data capabilities as it continues to scale. Role Purpose As a Data Engineer, you will take ownership of the organisation's data platform, covering both SQL Server workloads and a modern cloud-based data ecosystem. You'll ensure the reliability, scalability and performance of data pipelines, enabling high-quality analytics and supporting self-serve visualisation for teams across the business. This is a hands-on role where you'll help evolve the data architecture, contribute to the development of cloud-based solutions, and play a key part in strengthening data governance, quality, and accessibility. Data Engineer Responsibilities • Data Reliability & Performance, • Maintain and optimise SQL Server databases hosted on AWS RDS., • Troubleshoot SSIS packages and scheduled jobs., • Conduct performance tuning, query optimisation, indexing and cost efficiency reviews., • Support backup, disaster recovery and high-availability strategies., • Ensure high levels of data reliability for operational and reporting systems., • Modern Data Platform Development, • Contribute to the build and enhancement of a data lake / lakehouse architecture., • Work with AWS tools such as S3, Glue and Lambda., • Develop robust, scalable data pipelines., • Prepare clean, structured datasets for visualisation tools (preferably Tableau)., • Collaboration & Continuous Improvement, • Partner with Product, Engineering and Analytics teams to deliver end-to-end data solutions., • Support data governance, security and quality initiatives., • Stay curious and adaptable, especially as AI continues to reshape data engineering practices. Essential Skills & Experience • Strong SQL Server expertise (T-SQL, performance tuning, indexing)., • Experience managing SQL Server environments within AWS RDS., • Hands-on SSIS development experience., • Proven background in building and maintaining data pipelines., • Experience preparing data for BI/visualisation tools (Tableau desirable)., • Strong analytical, problem-solving and communication skills., • Knowledge of data warehousing and/or data lake concepts., • Any Data DevOps experience (e.g., Terraform, GitHub) would be highly beneficial. Experience & Behaviours • You'll bring experience in a similar data engineering or senior backend engineering role, comfortable working in cloud-based production environments. This role suits someone who takes real ownership-not just of their code, but of platform stability, data quality, and best practice.

ANALYTICS ENGINEER - 12 month FTC £75,000 + BENEFITS PRIMARILY REMOTE THE COMPANY: This client are a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible-by-choice working, a positive work-life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise THE ROLE: You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership. Key responsibilities include: • Designing and building curated datasets using dimensional and semantic modelling techniques, • Developing and maintaining SQL and PySpark transformation pipelines, • Partnering closely with Data Engineers, • Advanced SQL, including complex transformations and modelling, • Databricks, • PySpark and working within a Lakehouse or modern data platform, • Dimensional modelling and analytics engineering best practices, • Communicating effectively with both technical and non-technical stakeholders THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £75,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Analytics Engineer (12 month FTC) Up to £67,000 Remote (UK Based) This is an opportunity to join a growing analytics engineering function at a pivotal point in its data transformation. THE COMPANY They are a large, established law firm operating nationally, with thousands of colleagues across multiple UK offices. Data and analytics play an increasingly strategic role, supporting both operational and client facing teams. The culture combines high technical standards with a strong focus on collaboration, flexibility and doing the right thing. THE ROLE As an Analytics Engineer you will own the design and delivery of analytics-ready data within a modern Lakehouse environment, shaping how data is modelled, curated and consumed across the organisation. Specifically, you can expect to be involved in the following: • Play a key role in a Lakehouse programme, sitting at the intersection of analytics, engineering and the business., • Design and own analytics data models, transforming data from enriched layers into curated, analytics ready datasets., • Develop and maintain robust SQL and PySpark transformations within Databricks. The successful Analytics Engineer will have the following skills and experience: • Strong commercial experience as an analytics focused engineer, rather than an analyst., • Advanced data modelling capability, including dimensional modelling., • Strong PySpark and SQL skills in production environments., • Hands on experience with Databricks, including pipelines and governed data environments. The successful Analytics Engineer will receive the following benefits: • Salary up to £67,000 - depending on experience. Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Data Science Engineer (DV Cleared) Location: London or Manchester Security Clearance: DV Cleared Salary: Up to £80,000 An exciting opportunity has arisen for a Data Science Engineer to support a growing Data Science function within a major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders in a highly skilled multidisciplinary environment. What You'll Be Doing: • Designing, building and maintaining scalable data processing and integration services, • Supporting Data Science and Machine Learning workloads through well-engineered software solutions, • Developing high-quality, testable code using modern engineering practices, • Working within secure cloud-hosted environments, • Collaborating closely with technical and non-technical stakeholders What We're Looking For Essential: • Strong interest in data, particularly Data Science and Machine Learning, • Solid software engineering background with experience in Java, Python or TypeScript, • Hands-on experience with cloud platforms, • DV Clearance in place Location & Working Pattern: • Candidates must be aligned to either London or Manchester, • Hybrid working, • 9% non-contributory pension, • Private healthcare, • 25 days annual leave, • Life insurance, • And more If you're a DV-cleared engineer passionate about data-driven systems and keen to work on meaningful public sector programmes, this role offers both technical challenge and long-term development.

Senior Data Platform Engineer (Snowflake)Locations: Manchester / London / Staines (Hybrid)Type: Permanent, Full-Time (37.5 hours)Salary: £70,400 + 10% Bonus + Excellent BenefitsOverview We’re hiring a Senior Data Platform Engineer to play a key role in designing, building, and operating a secure, scalable enterprise data platform with a strong focus on Snowflake. This is a senior-level position where you’ll take ownership of platform engineering capabilities- driving automation, governance, and performance optimisation, while enabling data teams to deliver advanced analytics at scale. You’ll operate with a high level of autonomy, contributing to platform standards, improving reliability, and ensuring cost-effective, compliant data operations.Key Responsibilities • Design, build, and manage Snowflake platform capabilities within an enterprise data environment, • Automate infrastructure and resource provisioning using Terraform (IaC), • Develop and maintain CI/CD pipelines (GitHub Actions / Azure DevOps), • Implement monitoring, alerting, and observability frameworks, • Lead cost optimisation initiatives across Snowflake workloads, • Define and enforce security best practices (RBAC, data masking, identity integration), • Establish governance and compliance frameworks (audit logging, access reviews), • Design and implement disaster recovery and business continuity strategies, • Create reusable modules, templates, and platform standards, • Produce high-quality documentation, runbooks, and onboarding materialsRequired Skills & Experience, • Strong experience in platform or cloud engineering within enterprise environments, • Deep expertise in Snowflake (warehousing, RBAC, data sharing, performance tuning), • Hands-on experience with Terraform and Infrastructure as Code, • Proven experience building CI/CD pipelines (GitHub Actions or Azure DevOps), • Strong scripting skills (SQL, Python, or Bash), • Solid understanding of Snowflake security features (masking, encryption, identity federation), • Experience with monitoring, query profiling, and usage tracking, • Demonstrated ability to optimise performance and manage costs in large-scale environments, • Strong communication skills with the ability to work across engineering, data, and compliance teams, • Proactive approach to documentation and platform standardsWhat’s on Offer, • 25 days holiday (with option to buy/sell), • Annual performance-based bonus, • Private healthcare, • Enhanced pension and life insurance, • Flexible working arrangements, • Wellbeing support and lifestyle benefits, • Access to discounts and additional perks

Data Engineer up to £90,000 + BenefitsManchester (Hybrid)This is a great opportunity to join a high-growth adtech scale-up where you can take ownership of large-scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI.THE COMPANYThis is a UK-based adtech SaaS platform that using machine learning and real-time behavioural analytics to help brands optimise performance.THE ROLEKey responsibilities include: • Designing, building, and maintaining batch and streaming data ingestion pipelines for high-volume event data, • Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency, • Refactoring poorly structured data into clean, well-governed, ML-friendly datasets, • Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation, • Ingesting and integrating new and under-utilised data sources, • Working on greenfield projects while scaling existing data infrastructure to billions of data pointsYOUR SKILLS AND EXPERIENCEYou will bring strong capability in:, • Python and SQL, • AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda), • End-to-end ownership, from proof-of-concept through to productionTHE BENEFITSYou will receive a salary of up to £90,000 depending on experience, along with a comprehensive benefits.HOW TO APPLYPlease register your interest by sending your CV to Molly Bird via the apply link on this page.

The Client: Financial Services, Ethical, highly cerebral colleagues, collaborative environment and meritocratic. Amazing location in Manchester City Centre, hybrid working 3 days in, bespoke Bonus and solid benefits. Industry leaders utilising highly progressive Modelling & Analytics, Simulations and more. This is a hybrid role, Manchester City Centre based 3 days per week and comes with a solid Bonus and some fantastic benefits. You’ll be surrounded by Analytics, Data Science and Engineering Colleagues in this meritocratic and highly collaborative team. The Role: You’ll be the most senior hands-on technical contributor within the team, you will aid in the design and delivery of complex engineering workloads, provide mentorship to the wider team, and help set and uphold engineering standards across our Databricks platform. The ideal candidate combines deep technical expertise with a natural inclination to bring others along with them. 🧑🏽 🏫Act as the technical authority within the data engineering team, leading on architecture decisions and code quality. 🧱Design, build, and maintain robust data pipelines on Databricks, integrating data from SQL Server and other upstream sources. 🐟Develop and optimise Delta tables, workflows, and jobs within the Databricks lakehouse. 🪈Support the development and productionisation of ML feature pipelines in collaboration with the analytics team. 🚿Ensure pipelines are well-tested, monitored, and documented. 🧘🏻Mentor and support junior and mid-level engineers through code reviews, pair programming, and knowledge sharing. Requirements: We’re looking for a seasoned Data Engineer with the following skills and experience: • Strong hands-on experience as a data engineer, with a track record of leading complex technical delivery., • Advanced proficiency in Databricks (Delta Lake, PySpark, workflows)., • Strong Python and SQL skills., • Experience with Azure cloud services., • Demonstrable ability to mentor and upskill less experienced engineers., • Desirable: Experience with SQL Server and hybrid architectures., • Desirable: Exposure to ML feature engineering or feature store development., • Desirable: Experience in financial services or a regulated environment., • Desirable: Familiarity with data governance practices and tooling. The interview process will be two fold and online. We can commence interview w/c 7th April 2026. Feel free to reach out to Daniel Holdsworth at PeopleGenius for more information. Keywords: Data Engineer, Senior Data Engineer, Lead Data Engineer, Azure, Data Bricks, DataBricks, Snowflake, Data Engineering, Python, SQL

Security Engineer - Manchester - Hybrid Make The Connection. Our client, a global leader in automatic fare collection, transit information, and transit analytics solutions, is seeking a highly skilled and experienced Field Engineer. With presence in over 200 city and regional transport authorities worldwide, the client has been at the forefront of transforming fare collection for more than 35 years. The business is committed to solving problems and delivering innovative solutions that are revolutionizing the world of public transit. They are a global organization - embracing the strength that individual diversity brings to the collective. Bring your individual orientation, cultural heritage and distinctive thinking and experience - we want to hear from you! We are looking for an experienced Security Engineer to join our business. This role is on-site in Manchester, working within the greater Security team. The role will see you ensuring the clients’ technical teams meet relevant security standards, pass security audits, and protect company and customer data. You'll be a first point of contact for responding to security incidents. We regret that this position is only available for UK citizens/Residents with indefinite leave to remain in the UK, with current full time work rights for the United Kingdom, currently residing in the UK. The position is in Manchester. Requirements What you'll be doing: • Assess and evaluate the effectiveness of existing security controls., • Design and implement security solutions to mitigate identified risks., • Implement, and manage security systems, including firewalls, intrusion detection/prevention systems, DLP, endpoint protection, MDM, SIEM, IAM, vulnerability management etc., • Respond to security events and incidents., • Perform regular security audits and risk assessments., • Maintain security controls, identify risks and propose treatment plans., • Conduct regular vulnerability scans and penetration tests., • Liaise with global IT and Cloud teams to maintain company systems and their security., • Liaise with global Security Operations Centre colleagues to resolve any issues., • Ensure compliance with relevant regulations, standards, and frameworks (e.g., GDPR, ISO 27001, NIST), • Review and update security program documentation., • Support customer relations and requirements per commercial agreements., • Develop, implement, and maintain security policies, processes, procedures and guidelines., • Assist with internal and external audits and provide advice to colleagues and technical teams., • Ensure compliance with data privacy regulations (e.g., GDPR, CCPA), • Produce security reports for internal and external stakeholders., • Recommend and implement new security tools and technologies., • Stay current with infosec trends and tailor recommendations for business needs. What You'll Bring to the Role: Essential: • 3-5 years of experience in Information Security, • Strong understanding of security principles, technologies, and best practices, • Experience in networking, infrastructure (on-prem and in the cloud), vulnerability and incident management, • Familiarity with application/device security monitoring (e.g. Firewalls, IDS/IPS, XDR etc.), • Experience with SIEM / CNAPP / Log collection platforms (e.g. CrowdStrike, Lacework etc.) and capability to design, implement and manage such solutions., • Experience with implementation of identity and access management (IAM) solutions, • Ability to work in a team to deliver project outcomes within timeframes and objectives., • Self-directed work experience, including planning and organizing tasks., • AWS experience and/or AWS security / administration certifications (e.g. AWS Certified Security etc.), • Security experience and/or security certifications, • Proficiency with Windows and Linux servers, and network scanning tools (e.g. Wireshark, IP scanner etc.), • Ability to handle sensitive information with sound judgement., • Understanding of PKI Desirable: • Bachelor’s degree in computer science, IT or Information Security, • Compliance exposure with relevant security frameworks and standards (PCI, ISO, NIST, CIS), • Experience with audits and compliance enforcement, • Penetration testing experience, • Strong understanding of networking protocols and systems architecture, • Creating PCI digital keys or security access modules, • Threat intelligence exposure, • Proficient in programming or scripting languages, • IaC highly desirable, • Running phishing campaigns Personal Attributes: • Excellent problem-solving skills and attention to detail, • Collaborative and team-oriented, • Methodical, accurate, and timely work approach, • High confidentiality and integrity, • Strong written and verbal communication skills, • Commitment to completing work activities., • Ability to work autonomously and as part of a team., • Customer service-oriented, • Flexible and adaptable to change. Benefits What's in it for you? Besides the opportunity to work for a global company that is customer and people focused, we offer: • A focus on learning and development, • A great team of like-minded professionals, • Private Healthcare, • Income Protection Scheme, • Pension, • Group Life Assurance, • Cycle to Work Scheme, • Electric Car Benefit Scheme, • Employee Assistance Programme, • Eyecare and Spectacle Vouchers Sounds good? Then apply now. Get on board today! Add your resume and anything else to showcase why you would be a great addition to our team. We regret that this position is only available for UK&I citizens/Residents with indefinite leave to remain in the UK&I, with current full time work rights for the United Kingdom, currently residing in the UK.

Role: Analytics Engineer REMOTE Salary: £60,000 - £75,000 (dependent on experience) Insight into the Company: This organisation is a large telecoms organisation that is looking to change the industry through their flexible approach! As an Analytics Engineer on their team, you will work to build the customer data platform. The ideal candidate will be a team-player, working in a team of 10, working with and supporting different data workstreams. You will have strong communication skills to work within the team and also with stakeholders. The role will involve improving existing models to ensure they are efficient and scaled. Role and Responsibilities: • You will ingest and transform data in snowflake using DBT, • You will support the building of the data warehouse in Snowflake, • Essential to have 3+ years experience in:, • SQL, • Python, • DBT, • Cloud techs such as Snowflake, BigQuery or Databricks, • Dimensional Modelling such as Kimball, • Desirable to have experience with:, • CI/CD pipelines, • Kafka; real-time streaming There are 4 stages to the process: • A 30 minute discussion about experience, • An hour take home exercise, • A technical interview with the Data Director and Analytics Engineer

Azure & Databricks Data Engineer | Manchester / Hybrid | 3-Month Contract | Data Consultancy | £450-£500 Employer: UK-based Data Consultancy delivering modern cloud solutions for enterprise clients Contract: 3 months (with potential extension) Location: Manchester / Hybrid (UK-based) Role Summary: Join client projects to help enterprise organisations modernise their data platforms. Hands-on work with Azure and Databricks to build and maintain scalable pipelines, warehouses, and transformation layers. Ideal for someone with strong Azure and Databricks skills who enjoys delivering practical, high-quality solutions. Responsibilities: • Build and optimise Azure data pipelines, • Maintain Databricks data platforms for analytics and reporting, • Implement transformations using dbt, • Orchestrate workflows with Airflow, • Support platform migrations and modernisation, • Apply engineering best practices, version control, and CI/CD, • Document solutions and contribute to technical discussions, • Collaborate with client teams on scalable solutions Essential Experience: • Hands-on Azure data platform experience, • Proficiency in Databricks, • DBT experience in enterprise environments, • Airflow workflow orchestration, • Exposure to a mix of industry backgrounds Desirable Experience: • Consultancy or multi-client delivery experience, • Input into platform design and architecture, • Experience in regulated or complex environments Azure & Databricks Data Engineer | Manchester / Hybrid | 3-Month Contract | Data Consultancy | £450-£500

Principal AI Engineer Hybrid Working on Client Site £100,000 to £130,000 plus bonus and benefits This is a standout opportunity to shape and deliver cutting‑edge digital solutions that drive real operational impact. You will work directly with clients, embedding AI, advanced analytics, and digital tools into live environments and seeing your work translate into tangible outcomes. The Company This organisation is known for delivering meaningful, measurable change across both public and private sectors. They partner closely with clients to solve complex challenges using AI, data science, and digital innovation. Their culture is collaborative, low‑ego, and centred on developing exceptional talent. As they scale their digital capabilities, you will be joining a growing team with significant influence on its future direction. The Role • Identify high‑impact opportunities to apply AI, data science, advanced analytics, and digital tooling., • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools., • Work closely with client teams on the ground to embed solutions directly into operations., • Guide multi‑disciplinary teams that combine people, processes, and technology to deliver sustainable results., • Translate complex technical concepts into clear, actionable insights for non‑technical stakeholders., • Mentor colleagues and help shape best‑practice approaches across digital programmes., • Stay current with emerging technologies and bring innovative ideas into client delivery. Client site travel is essential as you will drive change alongside client teams. Your Skills and Experience • Strong commercial experience taking digital ideas from concept through to operational impact., • Deep capability in AI, data science, advanced analytics, or digital tooling., • Ability to turn technical designs into practical, in‑operation solutions., • Confident leading teams and managing stakeholders across technical and non‑technical backgrounds., • Skilled at communicating complex ideas simply and clearly., • A hands‑on, client‑centric approach with a focus on delivering measurable outcomes., • Comfortable working on‑site with clients to drive change in real time. What They Offer • Clear progression pathways with structured development support., • Exposure to high‑impact projects across diverse sectors., • A collaborative digital community with access to the latest technologies. How to Apply If you are excited by the opportunity to deliver meaningful, data‑driven impact, please apply with your CV.

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Manchester. • Must have active enhanced DV Clearance, • Junior to Lead levels available, • £45k to £95k DoE plus 15% clearance bonus, • Must be willing to be full-time on-site in Manchester, • Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements • Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis., • Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes., • Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors., • Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform., • Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on 0161 416 6800 or 07719065951 - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

The Opportunity - Azure Solutions Engineer – Kubernetes & AKS (Pathway to Solutions Architect) Location & Travel • Remote within the UK - Very occasional travel to client site (typically once a month at most - travel expenses fully covered. We’re partnering with a boutique data analytics and technology consultancy with a strong and growing footprint across UK Central Government / Public Sector Following sustained organic growth and increasing demand from major government departments, the consultancy is expanding its consulting team and seeking Azure-focused engineers with real Kubernetes experience who want to move further into consulting, solution design, and architecture. We are open to candidates at different stages of their career: from Junior/mid Level Engineers ready to step into consulting, through to experienced Senior Consultants who can lead solution design and client conversations from day one. This is not just a sys admin type of role and not a pure platform support position. It’s a delivery-focused consulting role, working closely with clients to design and implement secure, scalable, cloud-native solutions, with a clear pathway to grow into an Azure & Kubernetes Solution Architect. Why Join Us? • Join a small, fast-growing consultancy where your contribution genuinely matters, • Work on long-term, meaningful programmes, including national-scale public sector projects, • Be supported in your progression toward Azure & Kubernetes Solution Architecture, • Balance hands-on engineering with design, consulting, and technical leadership, • Avoid rigid role definitions, your responsibilities will grow with your capability What You’ll Be Doing Depending on your experience, you’ll be involved in: • Designing and delivering Azure-based data and platform solutions, • Deploying, operating, and improving Kubernetes platforms (AKS) in real production environments, • Building and supporting modern, containerised workloads, • Contributing to solution design and architectural decisions, with increasing ownership as you grow, • Working across multiple client projects, adapting to different technical and business contexts, • Engaging directly with technical and non-technical stakeholders, understanding requirements and shaping solutions, • Writing clear, high-quality technical documentation and design artefacts, • Keeping up to date with emerging technologies and best practices in cloud, data, and DevOps Who This Role Is For This role could suit you if: • You’re a Junior / Mid Level Engineer looking to move into consulting and gain exposure to solution design and architecture, • You’re an experienced Consultant or Senior who enjoys hands-on delivery but also leading technical direction, • You have practical Kubernetes experience and want to apply it in varied, meaningful client environments, • You want to move toward a Solution Architect role, rather than staying purely operational, • You enjoy variety, ownership, and working closely with clients rather than being embedded in a single internal team Essential Skills & Experience • Continuously lived in the UK for 5+years without sponsorship or visa, and eligible to obtain Government Security Clearance (SC) - MANDATORY REQUIREMENT., • Commercial experience in data engineering, cloud engineering, or platform engineering, • Strong experience with Microsoft Azure, • Hands-on Kubernetes experience (ideally AKS, but equivalent experience considered), • Experience working with DevOps practices and CI/CD pipelines, • Coding experience (e.g. Python, SQL, R, SAS, or similar), • Experience working in secure or highly regulated environments, • Ability to work independently, take ownership, and use your initiative, • A numerate or technical degree, NVQ Level 4, or equivalent experience, • Excellent communication and stakeholder management skills Desirable (Nice to Have) • Experience migrating or modernising legacy platforms, • Exposure to SAS tools and/or SAS administration, • Familiarity with information security standards and controls, • Experience working in Agile delivery environments (Scrum, SAFe, etc.), • Previous consulting or client-facing experience Salary & Benefits • Salary range c. £55,000–£65,000, dependent on experience and level, • 12% employer pension contribution, • Up to 15% performance-related bonus, • Shared Company Bonus, • Standard company benefits in addition to above

Data Engineer Fully Remote UK Based £60,000 to £70,000 plus bonus of up to 25% This is an exciting opportunity to join a high‑growth data organisation where you will help shape the internal tooling and Python libraries that power their data products. If you enjoy building scalable systems, collaborating with data scientists, and contributing to an expanding R&D function, this role offers strong technical influence and career progression. The Company They are a data‑driven organisation providing analytics solutions and insight products to a wide range of commercial clients. Their work centres on building prediction tools, performance trackers, and data‑science‑led products that support investment decisions and commercial strategy. The business has experienced rapid growth and continues to invest heavily in its R&D and platform capabilities. You will join a collaborative environment where engineering, data science, and product teams work closely to deliver scalable, production‑ready systems. The Role As a Data Systems Engineer, you will contribute to the development and optimisation of the technical foundations that enable their data science and R&D teams to operate efficiently. Your responsibilities will include: • Designing, testing, and maintaining internal Python libraries used across data science workflows., • Developing and improving SQL‑based database structures to support scalable data pipelines., • Enhancing tooling, workflows, and internal data infrastructure for the wider Data Science function., • Working closely with researchers and data scientists to translate business needs into robust technical solutions., • Contributing to DevOps‑focused initiatives including CI/CD, environment management, and automation., • Ensuring high code quality through testing, documentation, and collaborative reviews. Your Skills and Experience To succeed in this role, you will bring: • Strong commercial experience building scalable Python codebases., • Solid hands‑on experience with SQL and database optimisation., • Familiarity with data science workflows and principles., • Exposure to DevOps tooling such as Docker, CI/CD, or cloud environments., • A collaborative approach and the ability to work closely with technical and research teams., • Practical coding examples or project work that demonstrates your engineering capability. How to Apply If you are interested in this Data Engineer position, please apply with your CV for consideration.

Data Engineer Manchester (hybrid, 2 days in the office) £70,000 to £90,000 This is an opportunity to join a scaling SaaS business where data sits at the heart of the product. You will play a key role in shaping modern data infrastructure that directly supports machine learning systems, real time decision making, and measurable commercial outcomes. The role offers high ownership, greenfield projects, and the chance to influence how data is used across the organisation as it continues to grow. The Company They are a UK based technology scale up building a privacy first, cookieless platform that helps businesses protect and optimise their digital marketing spend. Using machine learning and large scale behavioural data, they analyse vast volumes of traffic in real time to identify low quality or invalid activity. With offices in London and Manchester, they operate at Series A stage with strong funding and a collaborative, engineering led culture. The Role You will sit within the Data and Platform function, working closely with Data Science, Engineering, and Product teams to design and run reliable, scalable data systems. Key responsibilities include: • Designing and owning batch and streaming data ingestion pipelines on AWS, • Building and maintaining ML ready datasets to support model training, inference, and experimentation, • Improving data warehouse design and performance within AWS Redshift, including refactoring poorly structured data, • Integrating new and underused data sources to unlock additional value, • Supporting feature store development and data pipelines for A/B testing and analytics tools, • Optimising data systems for cost, performance, reliability, and data freshness, • Strong commercial experience building production grade data pipelines using Python and SQL, • Hands on experience with AWS data services such as S3, Redshift, Glue, Athena, and streaming technologies like Kinesis, • Experience working with large scale, high velocity event data and understanding the trade offs around cost, performance, and reliability, • Ability to think beyond implementation and understand how data supports business and product outcomes, • Comfortable collaborating across Data, Engineering, and Product in a fast moving environment If you are interested in building high impact data systems in a growing SaaS environment, apply now to find out more about this opportunity.

Data Engineer UK, Fully Remote, £65,000 to £70,000 This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for a Data Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation. The Company They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage. The Role You will be the first key Data Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight. Responsibilities include: • Owning and developing the data platform on GCP, ensuring reliability and scalability, • Building and maintaining robust ingestion pipelines using modern ELT tools, • Designing and maintaining high-quality data models to support analytics and self-serve BI, • Partnering with BI and commercial teams to translate business needs into technical solutions, • Supporting data governance, testing, and documentation across the warehouse, • Strong data engineering fundamentals within a modern cloud data stack, • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar, • Solid data modelling capability for analytics and reporting use cases, • Hands-on experience with infrastructure as code, particularly Terraform, • Comfortable working in scaling environments with evolving data maturity, • Able to communicate clearly with both technical and non-technical stakeholders, • High autonomy and the chance to shape a growing data platform, • Clear scope for progression as the data function expands If you are a Data Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

Job Advert\nSenior SCADA & OT Engineer\nRemote working with visits to sites as required\nPermanent position\n\nThe Role:\nAs a Senior SCADA & OT Engineer within the Asset Integrity Management (AIM) Team and reporting directly to the Global Head of Engineering. You will act as the technical authority for SCADA systems, control systems, operational technology (OT), telemetry, and operational cybersecurity across OFTO assets.\nThe role ensures secure, reliable, and compliant digital control environments supporting offshore and onshore HV operations. You will provide system ownership, configuration governance, cyber assurance, and expert fault response across the asset lifecycle.\n\nKey Duties and Responsibilities:\nSCADA System Ownership:\nMaintain and optimise SCADA systems, RTUs, PLCs, bay controllers, relays, I/O modules, HMIs, and other.\nEnsure accurate signalling for alarms, events, analogue values, breaker states, and system statuses.\nManage historian systems (PI, InfluxDB, Genesys, etc.), ensuring data availability and integrity.\nMaintain configuration records, backups, firmware, and version control.\nLCM of SCADA systems, including - design, deployment, maintenance, upgrades, and decommissioning, ensuring system reliability, cybersecurity compliance, and integration with control and telemetry systems.\nManage remote SCADA logins for Senior Authorised Persons, Asset managers and other responsible persons.\nCompliance with the applicable standards - IEC 62443, NIS/NIS2, IEC 61850, ISO 27001, ISO 9001/14001/45001, ISO 55000 asset management and GDPR.Control & Automation:\nImplement logic updates, mimic revisions, setpoint changes, and control sequences.\nSupport inter-trip schemes, GOOSE messaging, automation protocols, and protection interface signals.\nValidate control logic changes in coordination with the Senior HV Protection & Control Engineer.\n\nOT Network & Cybersecurity:\nMaintain secure OT networks including firewalls, VLANs, DMZs, routers, switches, and time-synchronisation systems (GPS/NTP/PTP).\nSupport NIS/NIS2, IEC 62443, and CNI cyber compliance through patching, vulnerability assessments, and incident response.\nMonitor OT network health, cyber logs, and communication performance.\n\nData Availability & Telecoms:\nEnsure high telemetry availability for Operations, outage planning, and engineering analytics.\nManage telecoms: microwave links, fibre networks, radios, and GPS-based timing infrastructure.\nSupport historian data pipelines for condition monitoring and performance analysis.\nEvent & Fault Diagnostics:\nSupport the Senior HV Protection & Control Engineer during protection-related events and system disturbances.\nContribute to technical investigations and post-fault reports requiring digital/telemetry insight.\n\nFuture Capability Development:\nEnable digital transformation (predictive analytics, OT/IT integration, digital twins).\nSupport future SCADA/OT projects in offshore wind, interconnectors, and digital engineering consultancy.\nAlign with our HV Remote Control Centre to enable secure, resilient remote SCADA monitoring - advising on enhanced cyber-secure connectivity mechanisms and supporting the delivery of the organisation’s wider digital and OT security objectives.\n\nWho are we looking for?\nYou will have strong system diagnostic and problem-solving skills and rigorous configuration control and documentation discipline.\nEffective communication across Operations, Engineering, and Cyber teams.\nThe ability to work proactively during faults or critical events and have a structured and methodical engineering approach.\nPromote safe work practices in control rooms and substations, maintain accurate configuration control and change records.\nLead by example on life saving rules and safe systems of work. Produce or contribute to the production of clear risk assessments, method statements and technical reports for SCADA / OT related tasks.\n\nSkills and Experience: \nDegree in Automation, Control Systems, Electrical Engineering or IT/OT Engineering.\nExperience with SCADA systems, PLCs/RTUs, historian platforms, and OT networks.\nUnderstanding of OT cybersecurity frameworks (IEC 62443, NIS/NIS2).\nCertifications preferred: IEC 62443 practitioner or equivalent; ISO 27001 awareness.\nExperience in transmission, offshore wind, OFTO, or industrial control environments.\nFamiliarity with telecoms systems (microwave, fibre, radios, GPS clocks).\nProven ability to operate as a senior technical authority under operational pressure.\nGWO certifications and Offshore Medical (or willingness to obtain) for offshore access (if desired).Why join us?\nCompetitive benefits tailored to the division.\nOpportunities for career growth and visibility across the organisation.\nA supportive, inclusive culture that values your ideas and contributions.\nWork that truly makes a difference in safety, innovation, and global capability.\n\nAbout Us:\nJames Fisher is a global engineering services company operating across Energy, Defence, and Maritime Transport. With a strong heritage in maritime operations, we now deliver innovative solutions in challenging environments. Our One James Fisher strategy is focused on building a unified, sustainable business within the Blue Economy, driving progress through technology, expertise, and collaboration. \n\nWith two centuries of maritime shipping and innovation, James Fisher is a trusted partner in the safe and efficient movement of the world’s critical resources. As a market leader in ship-to-ship transfer and coastal shipping, we help customers protect people, cargo and infrastructure while shaping the future of global maritime transport.\nIf this sounds like the ideal next step in your career, then click ‘apply’ now!\n\nDue to the volume of applications, we receive for our vacancies, on occasion applications may close before the deadline, so please apply early to avoid disappointment.\n\nJames Fisher and Sons are committed to taking positive action on diversity and strongly encourage applications for candidates from all backgrounds. We are proud to be a Disability Confident employer and recognise that our success depends on our talented and diverse workforce

Lead Full Stack Engineer (Java, AWS, Angular) (MarTech / Data Analytics). We're partnering with a leading global investment organisation to find an experienced. Strong communicator, comfortable leading cross-functional teams.

Senior Data Engineer - Anti-Fraud Technology. As a Senior Data Engineer, you will design and implement robust, scalable data pipelines that power real-time analytics and critical decision-making systems. You'll collaborate closely with cross-functional teams including developers, product owners, and

As an Analytics Engineer you will join a small but critical core analytics team that supports multiple product areas across the business. The successful Analytics Engineer will receive the following benefits:. This is a rare opportunity to step into a hands-on analytics engineering role where your w

PySpark and working within a Lakehouse or modern data platform. Dimensional modelling and analytics engineering best practices. ANALYTICS ENGINEER - 12 month FTC.

Company Description Wilder Sensing is building a platform to monitor biodiversity at scale using passive acoustic sensors and machine learning. We work with conservation organisations, land managers, and energy providers to generate actionable ecological insights from large-scale environmental data. Our platform processes tens of terabytes of audio data annually, applying AI models (e.g. bird and bat detection) and delivering analytics that inform real-world environmental decisions. Role Description We are looking for a Senior Backend Engineer to join our small, high-impact team, building technology that helps us better understand and protect the natural world. You will play a key role in developing and scaling our platform — from ingestion pipelines and APIs to analytics workflows — turning large-scale environmental data into meaningful ecological insight. This role is ideal for someone who sits at the intersection of technology and curiosity: an engineer who enjoys solving complex backend challenges, but is equally motivated by what the data represents in the real world — species, habitats, and ecosystems. You’ll thrive here if you: • enjoy building robust, scalable backend systems, • like working with large, imperfect, real-world datasets, • are curious about data and want to understand the story it tells, not just process it, • are excited to learn new technologies and domains as the platform evolves, • want your work to contribute to something tangible and meaningful An interest in ecology — particularly bioacoustics, conservation, or bat surveying — is highly desirable. You don’t need to be an expert, but you should be genuinely interested in engaging with the domain and growing your understanding over time. What You’ll Be Doing • Designing and building Python-based backend services and APIs, • Developing and maintaining data ingestion and processing pipelines, • Working with large-scale environmental datasets (audio + derived detections), • Improving performance, scalability, and reliability of our platform, • Collaborating with ML workflows (e.g. integrating model outputs into production systems), • Contributing to database design and data modelling across multiple storage systems, • Exploring and validating data to support product and scientific use cases Skills & Experience • Strong experience in Python backend development (e.g. FastAPI, Flask, similar), • Solid understanding of APIs and service-oriented architecture, • Practical experience with SQL and databases (PostgreSQL), • Comfortable working with data pipelines and data processing workflows, • Ability to work independently in a small team and take ownership of features Desirable • Exposure to ecology, environmental science, or biodiversity monitoring, • Experience with bat surveying, bioacoustics, or wildlife data, • Familiarity with AWS or cloud-native architectures, • Experience with NoSQL databases (e.g. DynamoDB, MongoDB), • Exposure to data analytics or exploratory data work (e.g. Pandas, PySpark), • Experience working with ML pipelines or model outputs, • Some experience in Web framework would be beneficial but not essential Why Join • Work on technology with real environmental impact, • Be part of a small, highly technical team with significant ownership, • Help shape a platform operating at the intersection of AI, ecology, and big data, • Opportunity to influence both product and technical direction We particularly welcome candidates from non-traditional backgrounds or with a strong personal interest in nature and conservation and a passion for technology.

Job Title: Senior DevOps & Back-end Engineer – Strategy & Corporate Finance Who You’ll Work With You’ll join clients Strategic Growth Hunter team, a high-impact engineering and analytics squad that designs and scales cloud-native solutions powering our financial intelligence platforms. We work with cutting-edge tools to automate infrastructure, manage scalable deployments, and ensure robust performance under heavy data loads. Our environment encourages autonomy and technical excellence — whether in AWS architecture, container orchestration, or backend services built in Scala and Python. Join us to help redefine how organizations create value, combining deep analytics, DevOps automation, and scalable architecture to drive impact across Strategy & Corporate Finance. What You’ll Do As a Senior DevOps & Back-end Engineer, you’ll be responsible for building, automating, and maintaining reliable, scalable cloud environments while contributing to backend development where needed. Your key responsibilities will include: DevOps & Cloud Infrastructure (≈80%) ∙ Design, build, and maintain AWS-based infrastructure supporting high-performance analytics platforms. ∙ Use Terraform for Infrastructure as Code (IaC), ensuring reproducibility and scalability of deployments. ∙ Implement, manage, and optimize Kubernetes clusters for container orchestration and microservice scaling. ∙ Automate CI/CD pipelines, monitoring, and alerting using industry best practices. ∙ Configure and manage databases — PostgreSQL, MongoDB, and Kafka — ensuring reliability, replication, and performance. ∙ Champion cloud security, cost optimization, and disaster recovery best practices. Software Development (≈20%) ∙ Contribute to backend service development, primarily using Scala and Python. ∙ Develop and maintain APIs, microservices, and data processing pipelines integrated with the DevOps stack. ∙ Collaborate with other engineers to ensure code quality, maintainability, and smooth integration with CI/CD systems. ∙ Support cross-functional teams (product, analytics, design) by implementing scalable and efficient solutions. Qualifications Required DevOps Skills ∙ Strong DevOps expertise in AWS, Terraform, and Kubernetes (EKS preferred). ∙ Experience in managing databases (MongoDB, PostgreSQL), and queues (Kafka). ∙ Proficiency in CI/CD tools (GitHub Actions is a preference.). ∙ Hands-on experience with containerization (Docker), Linux-based containers and infrastructure automation. ∙ Solid understanding of monitoring and logging frameworks. Required Development Skills ∙ Experience in development and debugging of JVM-based applications (Scala preferred) and Python applications. ∙ Familiarity with RESTful API design, microservices architecture, and data-intensive backend systems. General ∙ Strong analytical and problem-solving skills. ∙ Eager to learn new technologies. ∙ Effective communicator with both technical and non-technical audiences. ∙ Comfortable in Agile, high-paced, collaborative environments. ∙ Fluent in English (written and spoken).

Data Engineer • Salary up to £60,000 + discretionary bonus, • Hybrid working model with collaborative office environment, • Work with Databricks, Spark Structured Streaming, Kafka (MSK), and AWS ABOUT THE CLIENT Due to continued growth, we’re seeking a skilled Data Engineer to join an established organisation at the forefront of building modern, data-driven platforms. The business is investing heavily in its data ecosystem and is focused on delivering real-time insights and trusted analytics that support teams across product, finance, marketing, and compliance. This is an excellent opportunity to work with modern cloud data technologies and play a key role in shaping a scalable, secure, and high-performance data platform. WHAT WILL YOU BE DOING? As a Data Engineer, you will design, build, and optimise scalable data pipelines within a Databricks Lakehouse environment. You’ll work with both streaming and batch data pipelines using technologies such as Apache Spark Structured Streaming, Delta Live Tables, and Kafka, ensuring data flows efficiently and reliably across the organisation. Working closely with BI, product, and engineering teams, you will help deliver high-quality, governed data that supports analytics, reporting, and operational decision-making. You’ll also play a key role in enabling business intelligence through high-performance data models and integrations with reporting tools. You’ll monitor and optimise pipeline performance, implement CI/CD processes for data workflows, and maintain strong governance and security standards across the data platform. Documentation, observability, and cost optimisation will also form part of your responsibilities as you contribute to the ongoing development of the organisation’s data ecosystem. OUR BENEFITS: • Competitive basic salary, • Discretionary bonus scheme, • Company shares option plan, • Contributory pension scheme, • Life insurance (4x basic salary), • Health cash plan, • Generous holiday allowance including bank holidays, • Study support and clear progression opportunities, • Employee assistance programme available 24/7, • Collaborative office environment with regular social and charity events, • And Much More!!! DATA ENGINEER – ESSTENTIAL SKILLS • Strong experience with Databricks and Apache Spark (PySpark or Scala), • Experience building streaming and batch pipelines using Spark Structured Streaming, • Hands-on experience with Kafka (MSK) and real-time data ingestion, • Strong understanding of Delta Lake, Delta Live Tables, and Medallion Architecture, • Solid AWS experience including services such as S3, Glue, Lambda, Batch, and IAM, • Proficiency in Python and SQL for data engineering and analytics, • Experience implementing CI/CD pipelines (GitHub Actions, Jenkins, or Azure DevOps), • Strong Git and version control practices, • Experience tuning and optimising Spark workloads TO BE CONSIDERED… Please either apply by clicking online or emailing me directly . By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Databricks, Apache Spark, PySpark, SQL, Python, Kafka, AWS, Delta Lake, ETL, Data Pipelines, CI/CD, Big Data

Job title: Electronic Design Engineer Location: Reading/Glasgow sites available within hybrid working arrangements. Mission Akkodis, is a global leader in the engineering and R&D market that is leveraging the power of connected data to accelerate innovation and digital transformation. With a shared passion for technology and talent, 50,000 engineers and digital experts deliver deep cross-sector expertise in 30 countries across North America, EMEA and APAC. Akkodis offers broad industry experience, and strong know-how in key technology sectors such as mobility, software & technology services, robotics, testing, simulations, data security, AI & data analytics. The combined IT and engineering expertise brings a unique end-to-end solution offering, with four service lines – Consulting, Solutions, Talents and Academy – to support clients in rethinking their product development and business processes, improve productivity, minimize time to market and shape a smarter and more sustainable tomorrow. Akkodis is part of the Adecco Group and is a commercial brand under which both AKKA and Modis entities operate. Scope The Electronic Engineer develops integrated hardware solutions, both utilising COTS components and designing bespoke systems, through design, development, verification, and validation. In this role you will produce electrical interconnect designs, cable schedules, ICDs, wiring schedules, LV distributions, earth & bonding strategies, assess the impact of EMI / EMC, RoHS, REACH and LV Directive on the electrical designs, etc. Responsibilities • Satisfy the HW requirement set through design, development, and test activities., • Implement the hardware architecture in physical and electrical form, fit and function., • Support Manufacturing and Procurement during the build phase, i.e. respond to Problem Reports and implement Engineering Change Requests., • Define the Design Proving / Hardware Test Specifications and use these during qualification., • Define the EMC and Environmental Test Specifications and use these during qualification., • Design and develop any special test equipment to facilitate the above. Skills • General Electronic and Electrical Engineering (degree level)., • COTS AC and DC LV power supplies., • Designing with PCI, RS485/232, Hotlink and Ethernet interfaces., • Designing cables and harness assemblies, utilising military style connectors and backshells, such as MIL-DTL-38999., • An understanding of cable screening methods and military style cable construction methodologies., • Designing to meet EMC and environmental standards / requirements. Experience • Strong relevant experience of the Skills listed above or associated experience that can be applied to electronic, electrical and electro-mechanical design in a regulated industry., • Design and specification of COTS and bespoke sub-assemblies and equipment suitable for 19” racks / cabinets., • Interconnection Design (i.e. wiring harnesses, copper or fibre optical network interconnections, connector types, power distribution and data comms, spatial constraints, environmental considerations)., • Full engineering lifecycle experience (Capture, Design, Implementation, Test)., • Working with requirements in a structured and evidential manner., • Production of Design / Test Specifications and Test Reports.

About Euphoric: Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The role: We’re looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology that powers the world’s first lovable, AI-native benefits platform. You’ll have real ownership, big targets, and a chance to help shape both the work you do and the company in general. We care less about traditional career paths and more about raw talent, bias for action, and how much fire you bring. What you’ll do: • Build AI-first features end-to-end: You’ll contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain., • Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work., • Live on the cutting edge of AI tooling: You’ll help push the boundary of what’s feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster., • Participate in a fast-paced iterative environment: Collaborate closely with design, product, and beyond to deliver and iterate on impressive features and prototypes at world-class pace., • Keep code clean and well-tested: Maintain clean, efficient, and tested code with clear documentation for both peers and future reference., • Review, refine, and grow: Actively participate in peer reviews, CI/CD processes, and a growth-minded engineering culture, where you continuously seek to level up your technical skills., • Be a team player: Sometimes you’ll be iterating on ML pipelines; other times you’ll be refining a frontend component or fixing a tricky bug. We need someone who’s excited about the full product journey and moving together as one. Skills & experience: • Industry Experience (2+ years): Prior experience contributing to impactful products in fast-paced or startup environments, with an understanding of both scale and quality from larger tech organisations., • Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine)., • Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up with emerging technologies and trends, • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win, • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for: We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What you’ll get: • Salary between £90k - £110k dependent on experience, • Remote-first setup with optional shared work space pass and hubs in London (We will only consider UK or Europe based candidates, with a preference for those closer to London), • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays, • Career rocket fuel - real growth, real ownership, real impact

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

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal SRE – Azure Specialist will drive the design and implementation of automation, observability, and operational excellence within Syniti’s Microsoft Azure-hosted runtime environments. This role will focus on architecting and deploying globally scalable, regionally compliant (Cyber Essentials+, SecNumCloud), zero trust architectures. This engineer will lead the technical project to port Syniti’s SaaS architecture and services from AWS to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models, and integrating Azure-native services with Kubernetes (AKS) and Syniti’s platform stack. WHAT YOU WILL DO • Design and maintain Azure-hosted environments supporting the Syniti SaaS platform across multiple global regions., • Build reusable IaC modules in Terraform for network, compute, and managed PaaS services., • Integrate Azure-native logging, security, and cost optimization with observability pipelines., • Lead incident resolution and proactive failure domain analysis within Azure-hosted regions., • Develop secure service-to-service communication standards leveraging Azure AD workload identity and pod identities., • Collaborate with Compliance and Security to meet UK, EU, and French regional regulatory requirements., • Drive self-healing systems using automation to reduce toil and human intervention., • Support cloud region expansion and infrastructure builds via GitOps and pipeline automation. WHAT IT TAKES • Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems., • Ability to thrive in a high-stakes, distributed operations environment with mission-critical SaaS systems., • Strong communication and cross-regional collaboration capabilities., • Deep technical expertise across Azure infrastructure and platform services., • Comfort working with engineers across DevOps, Security, and Product teams to deliver shared outcomes., • 15+ years of experience in infrastructure, cloud, or SRE roles., • 5+ years designing or operating in Azure environments including AKS, Storage, VNets, Private Link, Azure Monitor., • 3+ years proficiency with GitOps and declarative infrastructure patterns using tools like Terraform, Bicep, or Pulumi., • 3+ years implementing or maintaining CI/CD pipelines., • 2+ years of Software Development experience, • Advanced scripting skills in Bash, Python, or Go., • Strong understanding of managed identity, Azure AD, and Kubernetes identity integrations., • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

About the 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 employs 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. About the Role The FPGA Engineer will contribute to the development, recovery, and certification support of FPGA-based designs for aerospace platforms, with a strong focus on legacy systems and board bring-up activities. The scope includes reverse engineering existing FPGA implementations, developing firmware from hardware requirements, and supporting integration of FPGA designs onto new or existing boards. Responsibilities • Lead FPGA development for legacy aerospace designs, including reverse engineering, and board bring-up activities., • Develop firmware requirements from hardware requirements., • Work closely with hardware teams, supporting early-phase board design and integration., • Ensure designs and deliverables comply with DO-254 aligned processes., • Support generation of design/certification documentation (PHAC), verification strategy, and accreditation discussions (SOI) for low-complexity designs. Qualifications • Bachelor’s degree in Electronic Engineering, Electrical Engineering, Computer Engineering, or a related discipline. Required Skills • Strong FPGA experience using VHDL, including Xilinx or Microchip devices., • Proven experience working from limited or legacy design information., • Experience working in regulated aerospace or defence environments (DAL-D)., • Awareness of DO-254 or similar hardware certification standards is an advantage.

Job title: FPGA/Firmware Engineer Location: Available within Somerset, Manchester or London on a hybrid basis. Scope The FPGA Engineer will contribute to the development, recovery, and certification support of FPGA-based designs for aerospace platforms, with a strong focus on legacy systems and board bring-up activities. The scope includes reverse engineering existing FPGA implementations, developing firmware from hardware requirements, and supporting integration of FPGA designs onto new or existing boards. About the role As an FPGA Engineer, you will work on the development and support of FPGA designs for legacy and new aerospace hardware. This includes reverse engineering existing designs where documentation may be limited, defining firmware requirements from hardware inputs, and implementing solutions using VHDL on Xilinx or Microchip devices. Responsibilities • Lead FPGA development for legacy aerospace designs, including reverse engineering, and board bring‑up activities., • Develop firmware requirements from hardware requirements., • Work closely with hardware teams, supporting early‑phase board design and integration., • Ensure designs and deliverables comply with DO‑254 aligned processes., • Support generation of design/certification documentation (PHAC), verification strategy, and accreditation discussions (SOI) for low‑complexity designs. Required experience • Strong FPGA experience using VHDL, including Xilinx or Microchip devices., • Proven experience working from limited or legacy design information., • Experience working in regulated aerospace or defence environments (DAL‑D)., • Awareness of DO-254 or similar hardware certification standards is an advantage. About us 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 employs 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.

Better places, thriving communities. About the Role: We are seeking a highly motivated and experienced Senior SCADA and Controls Engineer to build and lead a multidisciplinary team delivering substation automation and control systems for renewable energy projects across the UK. This includes Battery Energy Storage Systems (BESS), solar PV, and onshore/offshore wind projects. The successful candidate will play a key role in the design, integration, and commissioning of SCADA and control systems, ensuring compliance with UK grid codes and industry standards. Key Responsibilities: • Build, lead and mentor a team of SCADA and controls engineers across multiple projects., • Oversee the design, configuration, and implementation of SCADA systems for substations and renewable energy assets., • Develop and review control philosophies, functional design specifications (FDS), and interface control documents (ICDs)., • Produce SCADA IO Schedules, • Produce communications philosophy documents, • Produce site specific communications and SCADA architecture drawings., • Produce or contribute to the production of project specific multicore cable schedules., • Ensure integration of SCADA with third-party systems (e.g., DNO/DSO, NGESO, EMS, BMS, RTUs, PLCs)., • Manage project timelines, budgets, and resource allocation in collaboration with project managers., • Support grid compliance activities including G99/G100, ENA EREC standards, and National Grid requirements., • Coordinate with internal and external stakeholders including clients, DNOs, OEMs, and EPC contractors., • Ensure cybersecurity and data integrity in SCADA and control system architectures., • Conduct FAT, SAT, and site commissioning activities., • Drive continuous improvement and innovation in SCADA and control system design and delivery., • Have an in depth knowledge of energy trading platforms and grid services (e.g., FFR, Dynamic Containment). Essential Skills & Experience: Degree in Electrical, Electronic, or Control Engineering (or equivalent). Proven experience in SCADA and control systems within the power or renewable energy sector. Strong knowledge of substation automation, IEC 61850, Modbus, DNP3, and OPC protocols. Experience with BESS, solar, and wind control systems and grid integration. Familiarity with UK grid codes, G99/G100, and National Grid connection processes. Proficiency in SCADA platforms (e.g., GE, Siemens, Schneider, ABB, Wonderware). Strong leadership, communication, and stakeholder management skills. Willingness to travel to project sites across the UK. Desirable Qualifications: Chartered Engineer (CEng) or working towards it. Experience with cybersecurity standards (e.g., IEC 62443). Knowledge of energy management systems (EMS) and data analytics platforms. Familiarity with battery management systems (BMS) and energy trading platforms. Our market-leading offering provides you with benefits that suit your lifestyle. We have a virtual GP on hand for you and members of your household. So you can get expert advice by video or phone without having to leave your home. We offer financial wellbeing assistance through our Salary Finance scheme. For example, you could access 50% of your earned pay before payday for a small fee. Salary Finance also offers competitive loans. When you join us, we’ll give you a link to our flexible lifestyle benefits platform, Choices. You might choose to purchase up to five extra days’ holiday each year. You might buy critical illness insurance, seek dental treatment or buy technology products at an affordable cost. There are many choices! We give you access to high street discounts from thousands of well-known retailers, gyms and more through our MiDeals platform. And we have a cycle-to-work scheme. Life cover of up to four times your salary is available. We also offer enhanced pension contributions, a save-as-you-earn scheme, and a Mitie Matching Share Plan (you could even be awarded free shares in Mitie). We award our employees with Mitie Stars as recognition for their hard work. There are cash prizes up for grabs each month and at the end of the year there’s a chance to scoop a top prize of £10,000! Our success is a direct result of the experience and quality of our people. Progressing your career is therefore a top priority for us. We offer a diverse variety of training and development avenues via a wide selection of learning resources to suit you. Since 1987, Mitie’s 80,000 employees have been maintaining companies globally. We are the UK’s leading facilities management and professional services company, and our clients range from household names in banking, critical government sites as well as hospitals and schools. Join our Mitie Team. Together our diversity makes us stronger.

Founding Engineer – AI/ML (Stealth Start-Up) Location: Fully Remote (UK) Salary: £120,000 + 1.25% equity Company Overview: A stealth-mode e-commerce AI start-up is building a conversational AI sales agent that acts like a knowledgeable in-store salesperson online. Unlike static browsing or basic recommendation systems, this AI engages in real conversations, understands product attributes, compatibility, visual features, and domain expertise, and provides genuinely expert guidance. Every interaction generates high-intent data on customer needs, objections, and unmet demand. This intelligence powers segmentation, product development, and personalisation — far beyond traditional analytics. Long-term, the company is building the cognitive core for future robotic sales agents: the mind that makes expert guidance possible. The founding team brings deep experience: one founder is a 3x founder, investor, and executive with 14+ years building software, consumer, and supply chain start-ups, and the other is an ex-FAANG engineer with deep technical expertise. Role Overview: As the Founding Engineer – AI/ML, you will be at the forefront of developing the intelligence that powers the AI agent. You will design, build, and scale the AI models, data pipelines, and cognitive systems that drive conversational recommendations and insights. This is a unique opportunity to shape the core AI and influence the company's product strategy from day one. Responsibilities: Design, develop, and optimise AI/ML models for conversational understanding, product recommendation, and decision-making. Build pipelines and systems to capture and leverage high-intent customer interaction data. Collaborate closely with founders to define technical roadmap and product strategy. Contribute to designing the memory, reasoning, and cognitive architecture for expert-level AI guidance. Implement scalable solutions that can operate in real-world commerce settings. Requirements: Strong expertise in AI/ML, NLP, and recommendation systems. Proven experience building scalable AI systems end-to-end. Ability to work in an early-stage, high-autonomy environment. Interest in product intelligence, customer experience, and cognitive AI systems. Excellent problem-solving skills, growth mindset, and passion for building cutting-edge AI. Perks & Benefits Competitive salary: £120,000 + 1.25% equity Fully remote within the UK Ground-floor opportunity in a stealth start-up Significant impact on AI architecture, product strategy, and company direction

Lead AI Engineer Hybrid Working on Client Site £90,000 to £110,000 plus bonus and benefits This is a standout opportunity to shape and deliver cutting‑edge digital solutions that drive real operational impact. You will work directly with clients, embedding AI, advanced analytics, and digital tools into live environments and seeing your work translate into tangible outcomes. The Company This organisation is known for delivering meaningful, measurable change across both public and private sectors. They partner closely with clients to solve complex challenges using AI, data science, and digital innovation. Their culture is collaborative, low‑ego, and centred on developing exceptional talent. As they scale their digital capabilities, you will be joining a growing team with significant influence on its future direction. The Role • Identify high‑impact opportunities to apply AI, data science, advanced analytics, and digital tooling., • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools., • Work closely with client teams on the ground to embed solutions directly into operations., • Guide multi‑disciplinary teams that combine people, processes, and technology to deliver sustainable results., • Translate complex technical concepts into clear, actionable insights for non‑technical stakeholders., • Mentor colleagues and help shape best‑practice approaches across digital programmes., • Stay current with emerging technologies and bring innovative ideas into client delivery. Client site travel is essential as you will drive change alongside client teams. Your Skills and Experience • Strong commercial experience taking digital ideas from concept through to operational impact., • Deep capability in AI, data science, advanced analytics, or digital tooling., • Ability to turn technical designs into practical, in‑operation solutions., • Confident leading teams and managing stakeholders across technical and non‑technical backgrounds., • Skilled at communicating complex ideas simply and clearly., • A hands‑on, client‑centric approach with a focus on delivering measurable outcomes., • Comfortable working on‑site with clients to drive change in real time. What They Offer • Clear progression pathways with structured development support., • Exposure to high‑impact projects across diverse sectors., • A collaborative digital community with access to the latest technologies. How to Apply If you are excited by the opportunity to deliver meaningful, data‑driven impact, please apply with your CV.

This Senior 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 join a growing analytics engineering team and play a critical role in the Lakehouse environment.

Sports Senior Software Platform Engineer (Multiple roles, various seniority) | Sports Data We're also looking for PhD Sport Researchers, Quantitative Sports Modellers & Sports ML Experts We’re helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for sport, ensuring that the insights they deliver are both rigorous and practical. Build high performance trading and analytics platforms for the future of sports! Basketball, F1, Tennis, Horse Racing, Football (Soccer) and so much more... Essential Skills (Across the court/ track/ ground/ pitch): • Strong programming exposure with Go/ Golang or similar (such as Rust, Java, Kotlin, Python, C#, C++ etc), • Understanding of AWS to build pipelines., • Understanding of high-performance machine critical systems; ideally a sports trading platform or similar (financial trading/ banking/ air traffic platforms etc), • Strong problem-solving mindset with an analytical, systems-focused approach Bonus skills (100-point game, hat-trick, podium finish, Grand Slam): • Proven success with sports data/ the sports trading domain, • Genuine passion for sports and a curiosity-driven approach to understanding sports data Day-to-Day Duties (Throughout the venue): • Design, develop and analyse multiple high-performance sports trading and analytics platforms, whilst enabling global sports data to connect to it simultaneously, • Work with wider teams to add features, improve performance and increase reliability, • Contribute to CI/CD, security and long-term technical direction, • Innovate internal research projects exploring new metrics, analytical methods and applications of sport data Benefits (Beyond the match/ race/ game/ track): • An impact from day one, • Shape the future of sports technology, • Direct involvement with sport and the chance to apply tech to the real-world sporting calendar, • Creative freedom to experiment and innovate, • Supportive, collaborative culture that encourages learning and growth, • A vibrant team culture with a shared passion for sports, • Access to the latest tools and technologies, • Collaborative, flexible, remote first & hybrid working models, • Industry leading packages (competitive salary & bonus), plus an endless list of benefits.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Belcan Workforce Solutions are recruiting for a Scada Engineer - ADMS Energy systems. 12 month - Inside IR35 contract role. UK remote based with trips to UK & Europe offices as required. Job Description We're looking for a Scada Engineer to connect our customers with our technologies and products. Our team is involved in ADMS (Advanced Distributions Management System) related projects, tackling problems ranging from analysing data to providing solutions for varied customer business requirements. Our product is deployed in distribution companies worldwide and is leading in the growing market of Energy Utilities. Our software solutions deliver reliability, productivity, innovation, and efficiency through a modular architecture, adaptive algorithms, predictive analytics, and a brilliant user experience. Roles and Responsibilities Lead and manage the migration of SCADA systems into ADMS platforms. Leverage your expertise to ensure smooth transitions and integration of legacy systems into new ADMS SCADA environments. Install and configure SCADA simulation systems to support testing, training, and operational simulations. Ensure accurate modelling of SCADA environments to meet system requirements. Handle the installation and configuration of Front-End Processors (FEP) and Enhanced Front-End Processors (EFEPS), ensuring seamless communication between SCADA systems and remote devices. Conduct thorough SCADA testing, validating the system's functionality, performance, and reliability. Identify and resolve issues, ensuring the system meets operational requirements. Provide expert consultancy to clients, delivering workshops and training sessions to enhance their understanding and utilisation of SCADA systems. Share best practices and ensure clients are equipped to manage and optimize their SCADA environments. Lead the deployment and commissioning of ICCP (Inter-Control Centre Communications Protocol), ensuring proper integration of multiple control centres and seamless data communication. Stay current with emerging SCADA protocols and technologies, continuously expanding your knowledge to ensure the implementation of the latest best practices and industry standards. Required Skills & Experience: Extensive experience in ADMS SCADA migration and integration. Proven expertise in the installation and configuration of SCADA simulation systems. Solid knowledge of Front-End Processors (FEP) and Enhanced FEPs (EFEPS) installation and configuration. Strong hands-on experience in SCADA testing, troubleshooting, and optimisation. Experience providing consultancy, workshops, and training to clients on SCADA systems. Practical knowledge of ICCP deployment and commissioning. Passion for learning and staying updated on new SCADA protocols and technologies. Strong problem-solving and analytical skills. Excellent communication and customer-facing skills. Preferred Qualifications: Familiarity with a variety of SCADA protocols (e.g., IEC 61850, DNP3, Modbus, etc.). Experience with SCADA systems in the energy or utilities sector is a significant advantage. Any experience working with ADMS, OMS, and DMS systems in utility or energy sectors. Relevant certifications in SCADA systems, ADMS, or energy management technologies. xrnqpay Ability to work independently and in cross-functional teams. This vacancy is being advertised by Belcan Do you have the right skills and experience for this role Read on to find out, and make your application.

Data Engineer Remote UK Salary: £45,000 - £55,000 This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science function. With significant recent investment and continued growth, they are now expanding their ETL and automation capabilities to strengthen internal workflows and infrastructure. The Role You will focus on building, maintaining, and optimising internal ETL pipelines and workflow automations that support data scientists and enable reliable, scalable reporting. Key responsibilities include: • Designing and maintaining custom ETL pipelines in a cloud-native environment., • Automating internal processes and integrations across tools and APIs., • Supporting workflow orchestration using technologies such as Airflow or AWS Step Functions., • Containerising and deploying services using Docker., • Collaborating with data scientists to streamline their data workflows., • Contributing to improvements across orchestration, tooling, and internal engineering processes. Your Skills and Experience • Strong commercial experience with Python and common data libraries., • Proven ability to build and maintain ETL pipelines., • Hands-on experience with AWS services., • Experience with Docker and containerised workflows., • Familiarity with workflow orchestration tools., • Comfortable integrating with APIs and external tooling., • A practical, delivery-focused approach with the ability to own tasks end to end. How to Apply If this sounds like your next step, please send your CV to register your interest.

Lead Full Stack Engineer (Java, AWS, Angular) (MarTech / Data Analytics) Manchester, Hybrid (3 days onsite) | No sponsorship available We're partnering with a leading global investment organisation to find an experienced. Adobe MarTech stack (AEM, AEP, Target) Background in or strong interest in.

A public sector organisation is looking for a Principal Data Engineer to lead data delivery and provide technical direction within the Data Platform team. You will analyze large datasets for insights, define data strategy, and enhance data engineering capabilities. The ideal candidate has significan

Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. Python and Kubernetes Software Engineer - Data, AI/ML & Analytics. Python and Kubernetes Software Engineer - Data, AI/ML

A fast-growing technology-driven organization in the United Kingdom seeks a Senior Data Engineer (Analytics) to build and scale a modern, cloud-based data platform. This role focuses on designing robust data pipelines and enabling self-service analytics. You will work across AWS and Azure, contribut