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APPLICATION SUPPORT ENGINEER - MANCHESTER (HYBRID) KEY POINTS * £40,000 - £50,000 per annum (DOE) * Hybrid working - 2 days per week onsite in Manchester * SQL / SQL Server focused role with deep problem-solving exposure * Mix of support, change requests, and system improvement work ABOUT THE CLIENT We're working with an established and growing technology-driven organisation that specialises in data-led systems and analytics solutions. Due to continued demand and internal growth, they're looking to bring in an experienced Application Support Engineer to support and enhance a range of business-critical platforms. Please note - This role will be 12pm -8pm shifts due to US based clients. THE BENEFITS * Hybrid working model with flexibility * Opportunity to work on complex, data-driven systems * Exposure to both modern and legacy environments * Strong focus on autonomy and problem-solving * Collaborative environment with opportunities to influence system improvements THE APPLICATION SUPPORT ENGINEER ROLE: This is a hands-on, problem-solving role suited to someone who enjoys getting into the detail and understanding how systems truly work. You'll be supporting a range of applications, many of which include legacy components with limited documentation, so the ability to investigate, reverse engineer, and build knowledge quickly is key. Day to day, you'll be diagnosing and resolving issues, working on change requests, and supporting the rollout and demonstration of new or updated systems. You'll also play a role in due diligence activities, helping to assess and understand systems during onboarding or transition phases. This role would suit someone who enjoys variety, thrives in less structured environments, and takes pride in getting to the root cause of complex technical issues. APPLICATION SUPPORT ENGINEER ESSENTIAL SKILLS * Strong SQL and SQL Server experience * Proven background in Application Support or similar support-focused role * Excellent troubleshooting and analytical skills * Experience working with legacy systems and low-documentation environments * Ability to manage and deliver change requests * Comfortable engaging with stakeholders and demonstrating systems * Strong attention to detail and a proactive approach to problem solving TO BE CONSIDERED: Please either apply through this advert or email me directly via . For further information please call me on / . By applying for 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 Application Support, SQL, SQL Server, Troubleshooting, Data Analysis, Change Requests, Legacy Systems, System Integration, Stakeholder Management, Problem Solving

Portfolio are proud to be representing our clients who are a Software provider based in the heart of Manchester, providing people solutions to over 100,000 clients worldwide and they're looking for a Software Engineer In Test The role is paying up to £55,000 and is 5 days a week in the office. Essential: • Experience with API testing tools (Postman), • Understanding of CICD (Jenkins, AWS, Azure), • Displays experience of various testing techniques (Exploratory, Smoke, Regression), • Understanding of Database management tools and how to query data required (SQL), • Displays clear and precise communication skills Desirable: • Knowledge of automation tools (Selenium Web Driver, VS Code), • Knowledge of automation framework (cypress, playwright, typescript), • Knowledge of testing google analytics, • Knowledge of Mobile testing, • Browserstack If you would be interested please apply below! 51432NB INDMANS The Portfolio Group are acting on behalf of our client in recruiting for this position.

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.

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

Job Title: Data Engineer (HealthTech) Location: Manchester (Hybrid/Remote options available) Day Rate: £500–£550 per day (Outside IR35) Contract Length: 6 months initial (extensions likely) Overview Chapman Tate Associates are seeking an experienced Contract Data Engineer to join an innovative HealthTech organisation delivering data-driven solutions that improve patient outcomes and healthcare services. This is an exciting opportunity to work on meaningful projects, building scalable data platforms that support clinical insights, product development, and operational efficiency. Key Responsibilities • Design, build, and maintain robust data pipelines and ETL/ELT processes, • Integrate data from a variety of sources including clinical systems, APIs, and third-party providers, • Collaborate with data scientists, analysts, and product teams to deliver high-quality datasets, • Ensure data quality, security, and compliance with healthcare regulations (e.g. GDPR), • Support the development of data platforms in cloud environments, • Proven experience as a Data Engineer in a fast-paced environment (HealthTech, MedTech, or related sectors preferred), • Strong SQL and Python (or similar programming languages), • Hands-on experience with modern data platforms (e.g. Snowflake, Databricks, BigQuery, Redshift), • Experience working with cloud technologies (AWS, Azure, or GCP), • Solid understanding of data modelling, warehousing, and pipeline development, • Experience working with healthcare data standards (e.g. FHIR, HL7), • Exposure to real-time data processing or streaming tools (e.g. Kafka), • Familiarity with data governance, security, and compliance frameworks in healthcare If you’re a contract Data Engineer looking to work on meaningful HealthTech projects, apply now with your latest CV.

Senior Data Engineer - Manchester (Hybrid) - £80,000 + bonusThe Company Our client is undergoing a significant digital transformation, modernising their data platform to better support high-volume, real-time products and analytics. This is a great opportunity to join a platform team at a pivotal moment, helping shape how data is engineered, processed, and consumed across the organisation.The Role This is a hands-on Senior Data Engineer role for someone who enjoys solving complex problems across the data landscape. You'll work closely with platform engineers, analysts, and data scientists to build scalable, reliable data pipelines and modernise the existing data estate.You'll play a key part in the migration of an existing data warehouse from on-prem SQL Server into AWS, contributing to the design of lakehouse and data warehousing solutions that support high-transactional, high-volume use cases. Alongside delivery, you'll help raise standards across the data platform, contributing to shared tooling, best practice, and mentoring more junior engineers where needed.Key Responsibilities • Design, build, and maintain scalable data pipelines and ETL processes using AWS services including Glue, Lambda, and S3., • Support the migration of an existing data warehouse into AWS and Redshift., • Design and implement data quality checks, validation, and monitoring., • Contribute to modern data lakehouse and data warehousing architecture., • Work closely with analysts and data scientists to enable advanced analytics and machine learning workloads., • Investigate and resolve data quality issues and performance bottlenecks., • Maintain clear data documentation and operational processes., • Contribute to platform standards, patterns, and continuous improvement., • Significant commercial experience (5+ years) as a Data Engineer in high-volume, high-transactional environments., • Strong Python (or Scala) skills for data processing and pipeline development., • Hands-on experience with AWS, particularly Glue, Lambda, and S3., • Strong SQL skills and experience working with data warehouses., • Solid understanding of ETL / ELT design and data pipeline optimisation., • Experience with big data frameworks such as Apache Spark, and exposure to streaming technologies like Kafka., • Opportunity to influence the architecture and refactoring of their new platform, • Training and development opportunities, • Salary of £80,000, • Enrolment onto the company bonus scheme Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

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.

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.

Senior Data Engineer (AI) £70,000 to £80,000 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 Senior 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 hybrid data platform to support firm-wide analytics and client-facing AI products (which the Senior Data Engineer will help to build). The successful Senior Data Engineer will have experience across cloud and on-prem technologies and a keen, demonstrable interest in working with AI. Essential skills: • A proven end-end project leader, • SQL, • Python, • Cloud data platforms (ideally Azure / Fabric), • SQL Server 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.

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.

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

🚀 Senior Data Engineer 📍 Manchester, UK (Hybrid – 2 days per week onsite, Tuesdays & Thursdays) 💷 £70,000 – £80,000 + up to 10% bonus Are you a technically strong Senior Data Engineer who enjoys solving complex data challenges and working directly with clients to deliver real business impact? We’re looking for a commercially minded engineer to join a growing team in Manchester. This is an exciting opportunity to design, build and maintain scalable data platforms and pipelines that power analytics and AI-driven decision-making for leading UK organisations. This role is ideal for someone who thrives at the intersection of hands-on engineering, consulting, and stakeholder engagement, with a clear pathway into people leadership. What you’ll be doing: • Design, build and maintain robust, scalable data pipelines using Python and modern data engineering tools, • Translate complex business and data challenges into practical engineering solutions, • Lead technical scoping and delivery from requirements gathering through to deployment and support, • Build and maintain data models, transformation layers and orchestration frameworks, • Work closely with clients, presenting technical solutions in a clear and accessible way, • Champion data quality, governance and engineering best practices, • Mentor junior engineers and help shape a culture of technical excellence, • Collaborate with Cloud, MLOps and Analytics teams to deliver end-to-end solutions, • Support proposals, demos and client relationship development where needed What we’re looking for: • 5+ years’ experience in Data Engineering or a similar technical discipline, • Strong Python skills with production-level engineering experience, • Experience with tools/frameworks such as pandas, Polars, DBT, • Strong understanding of data warehousing, dimensional modelling and medallion architecture, • Hands-on experience with cloud platforms: AWS, Azure or GCP, • Experience with orchestration tools such as Airflow, Prefect or Dagster, • Strong SQL skills and experience with modern warehouse/lakehouse architectures, • Familiarity with Git, CI/CD and infrastructure-as-code practices, • Excellent communication and stakeholder management skills, • Experience in a client-facing or consulting environment (or strong desire to develop this), • Ambition to move into team leadership / people management Nice to have: • Experience with PySpark / Databricks, • Experience with streaming technologies like Kafka or AWS Kinesis, • Knowledge of data governance and quality frameworks

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

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.

Systems Integration Engineer | E-commerce | Shopify | Fully Remote | £280 Outside IR35 We’re partnered with a rapidly scaling global e-commerce organisation transforming how cross-border digital commerce operates. With a complex, multi-tenant platform spanning multiple regions, currencies, and languages, they’re investing heavily in their integration capabilities to support continued growth. As part of this journey, they’re looking for a Systems Integration Engineer to take ownership of client and vendor onboarding, ensuring seamless connectivity across a wide ecosystem of platforms and services 🌍 💰 Upto £280/Day (Outside IR35) 📍 Fully Remote 📅 6 Month Contract You’ll work across product catalogues, order provisioning, and key third-party systems including payments, tax engines, and CRM tools — playing a critical role in maintaining and enhancing platform performance. 💡 What you’ll be doing: • Leading end-to-end client & vendor integrations (scoping → delivery), • Collaborating with Engineering, Product & QA teams to drive delivery, • Gathering and translating business requirements into technical solutions, • Managing stakeholders across multiple regions, • Troubleshooting complex issues & performing root cause analysis, • Producing clear integration documentation & reporting, • Supporting pre-sales & ongoing integration improvements 🧠 Key experience required: • 5+ years in e-commerce / systems integration environments, • Strong API integration experience (Shopify, Magento, SAP, Oracle etc.), • Experience integrating with ERP, OMS & PIM systems, • Knowledge of integration methods (API, EDI, JSON, XML, streaming), • Familiarity with AWS, SQL & analytics/reporting tools, • Experience working in Agile environments, • Strong problem-solving & stakeholder management skills 🌟 This is a high-visibility, hands-on role where you’ll work closely with both clients and internal teams, shaping integration strategy and delivering real business impact. If you’re interested, feel free to apply or message me directly with your CV for immediate consideration - 📩 Systems Integration Engineer | E-commerce | Shopify | Fully Remote | £280 Outside IR35

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

With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation. A remote working Senior Analytics Engineer will need to:. A successful Senior Analytics Engineer will have the following skills and experienc

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.

SMART BUILDINGS BMS ENGINEER (INTEGRATION / IoT FOCUS) £40,000–£80,000 + expenses | Remote Are you a BMS Engineer who enjoys working at the intersection of building systems, data, and modern technology? Do you want to go beyond traditional controls work and play a key role in connecting buildings to the cloud, enabling smarter, more efficient energy performance? This a fast-growing energy-tech business looking for a Smart Buildings BMS Engineer with strong integration and IT awareness to deliver end-to-end projects across commercial buildings. THE ROLE • Carry out site surveys, scope upgrades, and plan smart building integrations, • Install and configure BMS hardware: controllers, sensors, field devices, and panels, • Integrate HVAC, metering, and building systems using BACnet, Modbus, KNX, MQTT, • Connect building systems to cloud platforms via APIs, gateways, and IP networks, • Commission systems including Niagara 4, Trend IQVision, Siemens PX, Distech, • Troubleshoot data flow, connectivity, and system performance issues, • Structure and validate building data to support analytics and optimisation, • Work independently across multiple sites, delivering high-quality technical outcomes WHY JOIN? • Work at the forefront of smart buildings, IoT, and energy optimisation, • Combine hands-on engineering with modern data and integration work, • End-to-end ownership — from survey through to live system performance, • Exposure to cloud platforms, APIs, and advanced building analytics, • Join a high-growth, forward-thinking team shaping the future of building tech, • Clear progression into technical lead / integration specialist roles THE PROFILE • Strong BMS background (installation, commissioning, or integration), • Experience with Tridium Niagara, Trend, Siemens, Distech or similar, • Solid understanding of building protocols (BACnet, Modbus, KNX), • Comfortable working with IP networks, gateways, and system connectivity, • Exposure to MQTT, APIs, JSON, or cloud platforms (AWS or similar) highly desirable, • Electrical background beneficial (NVQ Level 3 / 18th Edition preferred, not essential), • Proactive, organised, and comfortable working independently in a fast-moving environment, • Willing to travel across the UK as required PACKAGE £40,000–£80,000 DOE Remote with UK-wide travel | Full-time or contract Immediate / flexible start Expenses covered

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, • Proficiency in Python and SQL for data engineering and analytics 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

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

Senior Backend Data Engineer Location: UK (Remote / Hybrid ] About Gifftid: Gifftid is building a next-generation platform that transforms how small and medium-sized enterprises (SMEs) are understood, supported, and connected to growth opportunities. Today, millions of SMEs operate successfully in the real economy serving customers, delivering contracts, and generating revenue yet remain underserved due to limited visibility in traditional data systems. Gifftid addresses this gap by bringing together multiple sources of business data and transforming them into structured, decision-ready intelligence that supports better outcomes across finance, procurement, and growth. About the Role: We are looking for a Senior Backend Data Engineer to design and build the data infrastructure that powers our platform. You will work on integrating diverse data sources, building scalable pipelines, and creating the foundation for analytics and decision-making systems. This role is ideal for someone who enjoys working on complex, real-world data problems and building systems that translate raw data into meaningful outputs. Key Responsibilities: Design and implement scalable data pipelines for ingesting data from APIs, platforms, and external sources; build and maintain backend systems that support data processing and analytics; develop and optimise data models and storage architectures; ensure data quality, reliability, and consistency; work closely with product and data teams to support evolving requirements; contribute to overall system architecture and infrastructure decisions. Requirements: 5+ years experience in backend or data engineering; strong programming skills (Python preferred); experience with APIs and data ingestion pipelines; advanced SQL and data modelling skills; experience with cloud platforms (AWS, GCP, or Azure); familiarity with pipeline orchestration tools such as Airflow or Prefect. Nice to Have: Experience working with financial, operational, or transactional data; exposure to real-time or event-driven systems; experience with data warehouses such as BigQuery, Snowflake, or Redshift. What We’re Looking For: Strong systems thinker with attention to detail; comfortable working with ambiguity and evolving products; interest in building infrastructure that supports real-world decision-making. Why Join Gifftid: You will be part of building a platform from the ground up, working on challenges at the intersection of data, systems, and real-world business impact. Apply: Contact | Website:

Who we are DecisionForest is a Bronze-Tier Databricks C&SI Partner, specialising in modern and scalable Data & AI platforms. Mission As a Forward Deployed Engineer you will work directly with client teams to design, build and deploy production solutions on Databricks. You’ll help customers solve real business problems using the Databricks platform, including data engineering, Lakehouse architecture, Unity Catalog, platform governance, workflow orchestration, performance optimisation and AI/data product enablement. You will operate close to the customer. That means joining discovery sessions, understanding current-state systems, identifying implementation gaps, building technical artefacts, shipping code, documenting patterns and helping customers adopt Databricks technologies. Responsibilities • Embed with customer teams to deliver production Databricks solutions., • Build data pipelines using Databricks, PySpark, SQL, Delta Lake, and Databricks Workflows., • Design and implement Lakehouse architecture patterns across bronze, silver and gold layers., • Implement Unity Catalog structures, including catalogs, schemas, tables, volumes, external locations, permissions, lineage and governance patterns., • Support migration from legacy data platforms or fragmented warehouse environments., • Build reliable ingestion, transformation and serving layers for analytics, AI and operational use cases., • Deliver technical artefacts for customers, including notebooks, jobs, pipelines, deployment templates, reference architectures, documentation and handover materials., • Provide deployment support for Databricks in enterprise environments., • Diagnose and resolve performance, reliability, cost and data quality issues., • Work with customer stakeholders across data engineering, analytics, governance, security, architecture and leadership teams., • Translate ambiguous customer requirements into clear technical plans., • Identify repeatable implementation patterns and feed them back into DecisionForest delivery standards., • Support pre-sales and post-sales activity where deep Databricks expertise is required., • Represent DecisionForest as a specialist Databricks partner in customer environments. What you must bring • 4+ years of experience in data engineering, platform engineering, analytics engineering or technical consulting., • Demonstrable experience owning at least 2 end-to-end Databricks implementations in a production environment., • Strong production experience with PySpark and SQL., • Experience with Databricks Lakeflow, notebooks, repos, SQL Warehouses, and cluster/serverless compute patterns., • Solid understanding of distributed computing concepts (partitioning, shuffling, optimisation techniques)., • Practical experience with cloud data platforms on at least one major provider (ideally both Azure and AWS), including storage, networking and security basics., • Good knowledge of data warehousing and Lakehouse patterns., • Experience with CI/CD and modern SDLC (Git-based workflows, code reviews, deployment pipelines, infrastructure-as-code is a plus)., • Strong problem-solving skills and the ability to debug complex data issues across multiple systems (data quality, performance, reliability)., • Confident communicator, able to translate technical detail into business language for non-technical stakeholders., • Self-driven, curious and committed to continuous learning in data engineering, cloud and analytics., • Familiarity with data governance, security and compliance in regulated environments.

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 hybrid data platform to support firm-wide analytics and client-facing AI products (which the Senior Data Engineer will help to build). Our client, a leading UK

🧱 Databricks Data Engineer | Manchester | £60,000 - £75,000 🧱 Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. As a trusted Microsoft Partner, my client are leaders in the industry, with a diverse portfolio of clients and projects. Due to exciting growth plans we are now looking for a Data Engineer, specialising in Databricks. We are looking for: • Demonstratable data engineering/BI skills, with a focus on having delivered in Microsoft Azure or AWS, • Strong experience designing and delivering data solutions in Databricks, • Proficient with SQL and Python, • Experience using Big Data technologies such as Apache Spark or PySpark, • Great communication skills, effectively participating with Senior Stakeholders Nice to haves: • Azure/AWS Data Engineering certifications, • Databricks certifications What's in it for you: 📍Location: Manchester (Hybrid) 💻Remote working: Occasional office visits each month 💰Salary: £60,000-£75,000 DOE 🤝Collaborative culture and great team support 📈Vast L&D opportunities both internally and externally

🚀 We’re Hiring: Data & DevOps Engineer (Biotech) Help shape the future of immune therapies. A fast-growing biotech company is on a mission to tackle immune dysfunction — a root cause of many cancers, autoimmune conditions, and infectious diseases. By developing first-in-class antigen modulation technologies, the team is pioneering a new approach to controlling how the immune system recognises and targets cells. As the company enters its next phase of growth, we’re looking for a Data & DevOps Engineer to join the IT function and play a key role in building scalable, secure, and reproducible data systems that support cutting-edge science. 🔍 The Role This position sits at the intersection of IT, data, and scientific teams (including Bioinformatics). You’ll lead on designing and delivering modern data infrastructure and DevOps practices that enable high-quality, reproducible research and analytics. 🛠 What You’ll Be Doing • Design and maintain secure, scalable cloud infrastructure (AWS), • Build and optimise CI/CD pipelines for scientific workflows (e.g. Nextflow), • Implement containerisation (Docker) for reproducibility and traceability, • Develop infrastructure-as-code (e.g. CloudFormation), • Architect data pipelines and platforms for structured and unstructured data, • Integrate analytics tools (e.g. Power BI, Spotfire, Microsoft Fabric), • Enhance data governance, lineage, and auditability, • Collaborate closely with scientists and bioinformaticians, • Produce clear technical documentation, • Manage external vendors supporting cloud infrastructure, • Continuously improve systems and processes ✅ What We’re Looking For • Experience in DevOps, Platform Engineering, or similar within biotech, pharma, or life sciences, • Strong expertise in AWS, Docker, and CloudFormation, • Hands-on experience with Linux systems and CI/CD pipelines, • Experience designing data pipelines and ETL processes, • Understanding of data modelling and master data management, • Ability to collaborate effectively with scientific stakeholders ⭐ Nice to Have • Experience in regulated or research-driven environments (data governance, reproducibility), • Exposure to Microsoft Fabric, Azure data services, or modern BI tools, • Experience with AI services (e.g. Amazon Bedrock), • DevOps/security certifications, • API integration experience 🌱 Why Join? • Be part of a company driving a fundamental shift in disease treatment, • Work at the cutting edge of science, data, and engineering, • Collaborate with world-class researchers and technologists

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

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

Senior Analytics Engineer - 12 month fixed term contract UK Remote £78,000 plus benefits 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 take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: • Leading the design and delivery of curated, analytics ready data models within the Lakehouse, • Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight, • Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks, • Embedding data quality, testing, reliability and performance into the curated layer, • Working closely with data engineers, BI teams and business stakeholders to translate complex requirements, • Providing technical leadership, mentoring and setting modelling and engineering standards, • Strong commercial experience as an Analytics Engineer within a modern data platform, • Excellent data modelling capability, including dimensional and semantic modelling, • Advanced SQL skills and strong hands on experience with PySpark, • Experience working with Databricks and Lakehouse architectures, • A solid grounding in engineering best practices, testing and data quality, • Confidence mentoring others and taking ownership of technical decisions, • Flexible by choice working, supporting different schedules and work life balance, • A 35 hour working week within a supportive, inclusive engineering culture If you are a Senior Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

Purview Data Governance Consultant Our Data & AI team is made up of curious, client-focused professionals who help organisations build trusted, governed, high-quality data solutions. We’re looking for a Purview Data Governance Consultant with strong data governance and data management experience (including data quality and MDM) and hands-on technical skills from a data analyst or data engineer background, with an appreciation of broader cloud architecture and networking. If you’re passionate about helping organisations understand, trust, and govern their data—and you enjoy working at the intersection of governance, platforms, and delivery—we’d love to talk. Come join us As a member of Avanade’s Data & AI practice, you’ll work with clients to design, implement, and embed modern data governance capabilities across Microsoft Purview, cloud data platforms, and analytics ecosystems. You’ll play a hands-on role in helping organisations establish clear data ownership, classification, lineage, and policy enforcement — turning governance from theory into something that genuinely enables analytics and AI. This role is ideal for consultants who are both governance-minded and technically capable, able to work credibly with data engineers, platform teams, and business stakeholders alike. Together we do what matters. What you’ll do • Design and implement data governance solutions using Microsoft Purview Data Governance, including cataloguing, classification, lineage, and domain-based governance models, • Use governance to enable data value creation, discoverability, secure access, and responsible data use, • Work with clients to define data ownership, stewardship, policies, and operating models aligned to business and regulatory needs, • Configure and integrate Purview with Azure data platforms, Microsoft Fabric, Power BI, Databricks, other data sources, and MDM tools, ensuring governance is embedded within delivery pipelines, • Support the implementation and governance of Databricks Unity Catalog, aligning technical controls with organisational data governance objectives, • Analyse data platforms and pipelines to assess metadata coverage, lineage, data quality signals, and policy enforcement, • Collaborate closely with business and technical stakeholders to ensure governance and data quality are practical, usable, and automated wherever possible, • Translate governance concepts into clear, actionable guidance for both technical and non-technical stakeholders, • Help clients move from ad hoc or tool-led governance to sustainable, product-oriented, domain-aligned models, • Contribute to the development of Avanade accelerators, patterns, and thought leadership in data governance and trust Skills and experience • Proven experience as a Data Governance Consultant, Data Analyst, Data Engineer, or similar role within data or analytics programmes, • Hands-on experience with Microsoft Purview Data Governance, including cataloguing, classification, lineage, and policy concepts, • Experience working with or implementing Databricks Unity Catalog, • Strong understanding of modern data platforms and architectures, ideally within Microsoft and Databricks ecosystems, • Practical technical skills in SQL, Python, and data engineering / analytics tooling, enabling effective collaboration with delivery teams, • Experience in a consulting or client-facing environment, engaging stakeholders with differing priorities, • Ability to explain governance concepts clearly and pragmatically, focusing on enablement rather than control, • Experience with technologies such as Azure, Databricks, Microsoft Fabric, Power BI, and data integration tools is advantageous About you Characteristics that set you up for success in this role include: • Pragmatic and outcome-focused, with a desire to make data governance genuinely useful, • Comfortable working across governance, data engineering, and analytics communities, • Curious about how organisations use (and misuse) data, and how better governance can unlock value, • Confident working in uncertain or evolving data landscapes, • Collaborative, supportive, and able to influence without authority, • Keen to learn and stay current with emerging approaches to data trust, governance, and AI readiness Enjoy your career Some of the best things about working at Avanade: • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (20 times), • A minimum of 80 hours per year dedicated to learning, certifications, and professional development, • Access to global Data & AI communities, accelerators, and subject-matter experts, • The chance to work on complex, high-impact initiatives across data governance, analytics, and AI, • Clear and supported career progression across Consultant and Senior Consultant levels Find out more about some of our benefits ___. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our ___ page

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.

As an AI Engineer at Avanade, you will design, build, and deliver advanced agentic AI solutions using the latest Microsoft technologies. Working directly with clients, you will help solve complex business problems by applying strong engineering practices, deep Microsoft platform expertise, and a pragmatic approach to delivering measurable outcomes. This is a hands-on, client-facing engineering role, combining AI engineering, solution design, and delivery excellence. You will work as part of multi-disciplinary teams to translate ambiguity into secure, scalable, and production-ready AI solutions. Role Responsibilities • Collaborate with clients to understand business challenges and identify opportunities where agentic AI can drive meaningful value., • Design, develop, and deploy AI agents using the latest Microsoft technologies (including Microsoft Copilot Studio, Azure AI Foundry, and supporting Azure AI and Power Platform services)., • Integrate AI solutions with enterprise systems, data sources, and workflows using Microsoft Power Platform and Azure services., • Contribute to solution and technical design, ensuring alignment with security, governance, scalability, and operational standards., • Participate in client workshops, technical discussions, and solution shaping sessions., • Support pre-sales activities when required through technical input, solution design, and proof-of-concept development., • Develop reusable assets, patterns, and accelerators that strengthen Avanade’s AI and automation capabilities., • Stay current with emerging Microsoft AI technologies and contribute to internal AI & Data communities of practice. Required Skills and Experience • Hands-on experience delivering solutions using Microsoft Copilot Studio., • Microsoft certifications in AI, Power Platform, or Azure (desirable)., • Awareness of governance, security, and responsible AI considerations in enterprise environments., • Experience working in consulting or professional services organisations., • Familiarity with Azure services commonly used in AI solutions, such as Azure OpenAI, Functions, Logic Apps, and API Management., • Experience with Microsoft Power Platform (Power Automate, Power Apps, Dataverse)., • Experience working with Azure AI Foundry or equivalent AI development capabilities on Azure. Preferred Skills and Experience • Ability to clearly communicate technical concepts to both technical and non-technical stakeholders., • Strong engineering mindset with the ability to build, test, deploy, and support production-grade solutions., • Understanding of agentic AI concepts, orchestration patterns, and multi-agent solutions., • Experience designing and delivering AI-driven or automation solutions in a client-facing environment., • Strong expertise in prompt engineering, including optimisation, testing, evaluation, and guardrail design. Enjoy your career Some of the best things about working at Avanade • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications), • Access to global Data & AI communities, accelerators, and subject‑matter experts, • The chance to work on complex, high‑impact initiatives across data governance, analytics, and AI, • Clear and supported career progression across Consultant and Senior Consultant levels Find out more about some of our benefits ___. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our ___ page. Create a future for our people that focuses on • Expanding your thinking • Experimenting courageously • Learning and pivoting Inspire greatness in our people by • Empowering every voice • Encouraging boldness • Celebrating progress Accelerate the impact of our people by • Amazing the client • Prioritizing what matters • Acting as one Learn more To learn more about the types of projects our Data Engineering team works on check out these case studies: Interested in knowing what’s going on inside Avanade? Check out our blogs:

AI Engineer (LLMs, Agents, MCP, ML) Location: Remote (UK) Salary: £80,000 – £100,000 Neulinx have partnered with a global SaaS platform in the hospitality and travel space, who are hiring an AI Engineer into a high-impact role. The business is widely recognised as one of the UK’s leading AI-driven SaaS companies, and a standout performer within the hospitality technology space, and is now doubling down on embedding AI across its product and engineering ecosystem. The Opportunity You’ll join a 45+ person engineering team and play a key role in shaping how AI, LLMs and machine learning are integrated into a live, scaled platform. This is not a research role. It’s a hands-on position where you’ll build, ship and see your work used immediately by a global customer base. What You’ll Be Doing • Designing and delivering AI-powered product features and workflows, • Working with LLMs in production, including prompt engineering and optimisation, • Building AI agents and advanced workflows, • Developing and integrating MCP services and API-driven AI interactions, • Embedding AI into core product functionality, integrations and internal systems, • Identifying and delivering practical AI use cases at scale What They’re Looking For • Hands-on experience with LLMs in real-world applications, • Experience with either:, • AI agents, MCP services and advanced workflows, or, • ML / deep learning models (e.g. pricing, analytics), • Strong engineering capability, ideally with Python and AWS, • Experience integrating AI into existing products or platforms, • A practical, delivery-focused mindset Why This Role • Work on a global, scaled SaaS platform with real users, • Be part of a high-performing 45+ engineering team, • Shape how AI is embedded into a live product at scale, • Remote-first, flexible working If you’re an AI Engineer who wants to build meaningful AI capability in a real product environment, go ahead and apply.

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

Senior JavaScript Engineer Global Events & Entertainment SaaS - Remote - Up to £80,000 About The Role: A well-funded SaaS scale-up building award-winning customer journey, marketing, and analytics products for global Events & Entertainment brands is looking for a remote Senior Full-Stack JavaScript Engineer. You'll contribute towards an extensive product roadmap spanning multiple products, with a strong focus on third-party integrations and API development. Tech Stack - React.js, Next.js, Node.js, Nest.js, Express, Typescript, GraphQL, AWS Key Responsibilities: • Build full-stack features across a suite of customer journey and marketing products, • API design and third-party integration work, • Contribute to product architecture decisions with high levels of autonomy, • Collaborate closely with a tight-knit, experienced engineering team Requirements: • Senior-level capability, • Strong front-end and back-end JavaScript / Typescript experience, • Strong AWS skills beneficial There's annual personal development investment and ample career progression available. The team have excellent retention, and look after their employees. There a 2 European team-trips per year, recently including Venice and Barca (optional - but why not!) To learn more, send in your application right away!

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.

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

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

Location: Glasgow or UK Employment Type: Full Time, Hybrid or Remote (Depending on Location) Reference Number: TBH48 About Us IES is a global climate tech company delivering world‑leading, physics‑based software and solutions that empower designers, engineers, and operators to create and maintain energy‑efficient buildings. With over 30 years of innovation, we are recognised as a leader in integrated performance‑based analysis and home to the most advanced building physics analytics team in the world. Our software solutions and expert consultancy services support the design, retrofit, and operation of more efficient, comfortable, and sustainable buildings. Our Research and Innovation team ensures our technology and industry expertise remain best‑in‑class and at the forefront of innovation. The Role We are seeking an experienced DevOps Engineer to join our growing Glasgow‑based team. Working closely with Product, Software Development, QA, and IT, you will support the design, implementation, and optimisation of CI/CD pipelines and DevOps platforms. This role is critical to enabling reliable, secure, and scalable software delivery across IES. You will maintain and improve DevOps tooling, manage build agents using GitOps practices, support cloud deployments (primarily in Azure), and promote DevOps culture and continuous improvement across the organisation. What You’ll Do • Maintain and administer DevOps tools, ensuring they remain up to date, reliable, and fully operational, • Design, implement, and optimise CI/CD pipelines using Azure Pipelines, • Build and manage build agents supporting build and release processes, following GitOps practices, • Develop automation solutions using appropriate scripting languages and tools to reduce manual effort, • Support cloud deployments and day‑to‑day cloud operations, primarily within Azure, • Produce and maintain documentation covering DevOps tools, build agents, CI/CD pipelines, and cloud operations, • Identify and recommend opportunities for continuous improvement within the DevOps function, • Promote DevOps culture, principles, and best practices across engineering and delivery teams, • Collaborate closely with cross‑functional stakeholders to support efficient and high‑quality software delivery Essential Skills & Experience • Degree in a relevant field or equivalent professional experience, • 3+ years’ experience in a DevOps or similar role, • Proven experience implementing CI/CD pipelines using Azure DevOps, • Experience maintaining and administering DevOps tools (e.g. Azure DevOps), • Strong proficiency with Git and source control practices, • Strong scripting and automation skills (e.g. PowerShell, Bash, YAML, Python), • Experience with configuration management tools (e.g. Ansible), • Hands‑on experience with cloud technologies, preferably Microsoft Azure, • Strong analytical and problem‑solving skills, • Ability to work both independently and collaboratively within cross‑functional teams Desirable • Experience working in Agile environments (e.g. Scrum), • Exposure to containerisation and virtualisation technologies (e.g. Docker, Kubernetes), • Experience supporting scalable, cloud‑based platforms and services, • Strong documentation and communication skills Why Join Us • Build and operate platforms that directly enable real‑world climate impact through energy‑efficient buildings., • Own and shape critical CI/CD pipelines and cloud infrastructure in a fast‑growing, mission‑driven climate tech company., • Work with modern DevOps tooling and cloud technologies, with real responsibility and influence over engineering outcomes., • Collaborate with highly skilled teams across Product, Software Engineering, QA, and IT in a culture that values DevOps excellence., • Flexible working, and the opportunity to grow your career while doing meaningful work. How to Apply Send a cover letter detailing your relevant skills and an up‑to‑date CV to . Please include the job title and reference number in your application. Early applications are encouraged as this vacancy may close once sufficient applications are received. Our Commitment to Inclusion IES is committed to an inclusive workplace and welcomes applications from all backgrounds, even if you don’t meet every requirement listed. We can provide reasonable adjustments throughout the recruitment process, for example, sharing interview questions in advance, allowing breaks between stages, or offering extra time where needed. If you require support at any point, please contact the IES HR team at or 0141 945 8500. Candidate information is handled in line with GDPR; please see our ___

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud-based communication platforms, including Microsoft Teams, Cisco BroadWorks, and Webex Calling. Our analytics help businesses enhance customer experience, optimize productivity, and drive performance across voice and collaboration channels. Job Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. You'll work closely with software engineering, and security teams to drive platform excellence. Key Responsibilities • Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components)., • Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation., • Manage secrets securely using services such as AWS Secrets Manager or HashiCorp Vault., • Implement robust monitoring, alerting, and observability tooling (e.g., CloudWatch, Prometheus, Grafana, Datadog)., • Participate in incident response, root cause analysis, and resilience improvements., • Maintain and evolve CI/CD pipelines using tools such as GitHub Actions, Bitbucket Pipelines, or Jenkins., • Automate deployments for container-based workloads on ECS (Fargate), or Lambda, and manage supporting infrastructure., • Collaborate with development teams to optimize build/deploy cycles and reduce lead time for changes., • Ensure security best practices are embedded into infrastructure provisioning and pipeline execution., • Support compliance and auditing by implementing guardrails and controls as code (e.g., AWS Config, SCPs, IAM policy management)., • Some OOH work is required to maintain the production systems and also will be part of OOH critical ticket rota. Required Skills & Experience • 5+ years in DevOps, SRE, or Cloud Engineering roles., • Expertise in AWS core services: EC2, IAM, VPC, ECS/Fargate, CloudFormation, CloudWatch, RDS, DynamoDB, S3, Lambda., • Strong proficiency in Terraform (HCL) – including workspaces, modules, and Terraform Cloud or similar., • Ansible experience – developing roles, dynamic inventories, managing remote configurations., • Strong scripting knowledge (Bash, Python, or Go)., • Experience with container orchestration and deployment (Docker, ECS, or Kubernetes)., • Proficient with GitOps or IaC-based workflows., • Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence., • Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours • Self-driven with a bias toward action and ownership., • Excellent communicator, able to collaborate across disciplines and levels of technical understanding., • Experience working as part of a cross-functional team., • Comfortable working in agile environments (Scrum/Kanban).

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

Staff Data Engineer | SQL, Python, AI-Ready Systems | Up to £150k, Remote We’re hiring a Staff Data Engineer to work directly with senior stakeholders of a company building one of the world’s largest data platforms. This role is focused on solving complex, real-world data problems not dashboards or standard analytics. This is a high-impact IC role with real ownership over core data systems. You’ll be working with messy, multi-source data (global company and ownership data), and will own how that data is structured, cleaned, and made usable across the business and for AI systems. What you’ll be doing: • Designing robust data models for complex, inconsistent datasets, • Handling challenges like deduplication, identity/entity resolution, and data quality, • Building scalable pipelines with SQL, Python, and modern data tools, • Structuring data so it’s reliable, explainable, and AI-ready (LLMs/RAG) What they’re looking for: • Strong SQL + Python experience, • Background in data engineering or analytics engineering at scale, • Experience working with messy or multi-source datasets, • Someone who cares about data quality, correctness, and real-world meaning, • Bonus: experience in fintech, risk, identity, or similar complex data domains Remote £120k–£150k Staff Data Engineer | SQL, Python, AI-Ready Systems | Up to £150k, Remote

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

About the role We have 5 x Data Engineer opportunities, working in our Data and Analytics Delivery department. The Data Engineers will join the group on a 12-month fixed term contract to focus on the migration and integration of data into our new ecosystem. The Data Engineer will be designing, developing and testing quality data engineering solutions and will look to challenge and improve our processes, tools and approach. The person in post will undertake review and assurance activity, providing other team members with guidance on design, build and test activity. Adhering to standard driven code development, the Data Engineer will deliver solutions that meet business needs in a timely manner and will take responsibility for the testing of their solution, including the analysis of requirement, designs of test cases & scripts, preparing test data and creating and executing tests to ensure effective and accurate deliverables. We operate on a team led hybrid approach with at least 1 day a week in the Coventry or Manchester office. Our benefits include: • 28 days holiday a yearplus bank holidays and a holiday buy/sell scheme, • Annual discretionary bonus scheme, • Personal pension with matched contributions, • Life assurance (6 times annual salary)We reserve the right toclosethis...

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 a...

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

Remote working: Hybrid – once monthly office visits to Manchester (may be once weekly in-office if a short commute from the HQ) About Us We’re an ambitious, fast-growing company building innovative, user-focused digital products used by thousands of people every day. With a focus on high-quality engineering, collaborative problem-solving, and continuous improvement, we’re now looking for Senior Android Engineers to join the team. The Role As a Senior Android Engineer, you’ll play a key role in designing, developing, and maintaining our Android applications. You’ll work closely with product managers, designers, and fellow engineers to deliver features that delight our users and meet our business goals. You'll also have the opportunity to influence architecture, mentor junior engineers, and help shape the future of our mobile offering. Key Responsibilities • Lead the development of new features and enhancements across our Android app(s), • Collaborate with cross-functional teams to define, design, and ship high-quality solutions, • Ensure the performance, quality, and responsiveness of applications, • Maintain high standards of code quality through code reviews and mentoring, • Drive improvements in our Android architecture, tooling, and development processes, • Stay up to date with the latest trends and technologies in mobile development Requirements • 4+ years of professional Android development experience (Senior), • Strong proficiency in Kotlin and modern Android development practices, • Experience with Jetpack Compose, MVVM architecture, and dependency injection (e.g., Hilt or Dagger), • Familiarity with RESTful APIs, GraphQL, and third-party libraries, • Solid understanding of the full mobile development lifecycle, • Experience writing unit, integration, and UI tests, • Ability to work independently and lead technical initiatives, • Excellent communication skills and a collaborative mindset Nice to Have • Experience working with CI/CD pipelines (e.g., GitHub Actions, Bitrise), • Previous work in a startup or fast-paced product environment, • Knowledge of mobile analytics and performance monitoring tools

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.