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Description 12 Months Fixed Term Contract The D&BI team works on allowing integration, transformation and visualisation throughout MO, allowing the organisation to maximise on the power of its data. The successful candidate would be: • Working in an agile scrum team to design and build data feeds and related applications, • Writing, testing and peer review of ETL code in Oracle ODI or dbt, • Working... ZIPC1_UKTJ

What you will do as a Senior ML Engineer • Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics., • Own the ML lifecycle from data preparation through training, evaluation, and deployment., • Implement and maintain MLOps workflows for continuous integration and delivery of ML models., • Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability., • Contribute to architecture decisions for ML pipelines and data flows., • Apply secure coding and configuration practices in line with compliance standards., • Mentor junior engineers and share best practices across the team., • Support innovation by researching emerging ML techniques and tools. What you’ll bring • Proven experience developing and deploying machine learning models in production environments., • Proven experience with the OpenCV framework and various object detection models, including YOLO, RCNN, and Vision models, along with a clear understanding of when to apply each model., • Proficiency with object detection concepts. Experience in video analysis, particularly optical flow and object tracking., • Solid knowledge of Optical Character Recognition (OCR) models, with the ability to fine-tune these models using custom datasets., • An understanding of how to measure the accuracy of text extractions through metrics like Character Error Rate (CER) and Word Error Rate (WER) is also crucial., • Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch)., • Understanding of ML architectures, hyperparameter tuning, and performance optimisation., • Experience with MLOps tools and CI/CD pipelines., • Familiarity with data engineering concepts (ETL, data pipelines, SQL)., • Ability to analyse complex data and communicate insights effectively., • Strong problem-solving skills and attention to detail., • Excellent collaboration and stakeholder engagement skills. Core areas (must have): • ML Development Expertise: Hands-on experience building and deploying ML models., • Lifecycle Ownership: Ability to manage ML workflows from design to production., • Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling., • Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration., • Governance & Compliance: Familiarity with secure coding and quality assurance standards., • Collaboration & Mentoring: Ability to work across teams and support junior engineers., • Continuous Improvement: Commitment to learning and applying emerging ML techniques., • Desirable:, • Experience with cloud platforms (AWS) and containerisation (such as Docker, Podman, Kubernetes)., • Exposure to big data technologies (Spark, Hadoop) and Apache tools., • Knowledge of NLP, computer vision, and deep learning architectures., • Familiarity with Agile and DevOps practices., • STEM degree or equivalent experience in AI, Data Science, or related fields., • Industry certifications (e.g., TensorFlow Developer, AWS Machine Learning Specialty)., • Experience working in secure or regulated environments. SC clearance is manadaorty for this role

Python Developer | Bristol (Hybrid) | £55,000 - £65,000 Join a fast-growing scale up company that’s using data and technology to power the UK’s clean-energy transition. With strong investment and a forward-thinking culture, it’s a place where engineers can shape new tools, influence real change, and make a meaningful impact from day one. They’re scaling their data capability and are looking for someone who can blend strong Python software engineering with data engineering skills to help build high-impact internal tools and data systems. What you’d be working on: • Developing and maintaining in-house Python applications, • Building & optimising user interfaces and APIs, • Designing and managing ETL pipelines with concurrency for large-scale processing, • Monitoring, troubleshooting and improving a broad range of AWS services What they’re looking for: • 5+ years’ professional Python development experience, • Strong understanding of API development principles, • Hands-on background with ETL pipelines & concurrent processing, • Experience working with AWS (ECS, S3, EC2, RDS, CloudWatch) Role details: 📍 Bristol (hybrid) 💰 £55k–£65k 🌱 Work that directly contributes to the transition to clean, sustainable energy

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

🚀 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

Wanted: Full Stack Engineer £45,000 - £55,000 (depending on experience) plus excellent benefits* Start date: ASAP Demand for Cervus’ products and services continues to grow across the Defence sector. We are looking for a motivated, curious, and technically minded Full Stack Engineer to help us scale our data and analytics capabilities across the UK and international markets. In this role, you will contribute to the design, development and maintenance of the data pipelines, platforms and services that power Cervus’ analytics. Working closely with experienced engineers, analysts, and delivery teams, you will help build customer focused, scalable, and innovative solutions that enable better decision making in defence. You will also be encouraged to leverage modern AI tools to accelerate high quality, sustainable development. As a Full Stack Engineer, you will: • Design, develop, automatically test and maintain full-stack web applications with a focus on data pipelines, analytics dashboards, and reporting tools., • Build scalable RESTful APIs and backend services using modern frameworks and languages (e.g. Python, Node.js, C++)., • Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows., • Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions., • Optimise system performance and reliability for high-volume data operations across distributed environments., • Implement secure, compliant and scalable data access layers, ensuring compliance with data privacy standards., • Contribute to system architecture, technical decisions, documentation and code reviews., • Maintain and improve CI/CD pipelines, advocating for best practices in testing, deployment and release management., • Rapidly prototype new features and tools, applying practical technical insight to test ideas and shape future products. We expect you to have: • Bachelor’s or master’s degree in computer science, engineering, or a related field preferred - or equivalent practical experience gained on the job instead., • Professional experience in full stack software development, ideally in a data-focused or product orientated environment., • Strong backend development experience (preferably with Python), particularly with structured and unstructured data (e.g. SQL, NoSQL, data lakes)., • Experience of working as part of a team to deliver software products., • Proficient in modern front-end technologies (HTML/CSS, JavaScript, React or similar)., • Experience working with containerised applications (e.g. Docker compose, Swarm or Kubernetes) in a Linux-based environment., • Solid understanding of RESTful API design, microservices architectures, and asynchronous workflows., • Familiarity with ETL processes, data warehousing and distributed systems., • Ability to obtain UK Security Clearance (SC). We’d love it if you also have: • Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI, • Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards., • Exposure to DevOps practices including TDD, CI/CD and infrastructure as code., • Experience of optimising systems for performance and scalability and reliability., • Understanding of machine learning workflows or MLOps for deploying and monitoring models in production., • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena)., • Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP, • Development experience within secure or classified environments particularly where compliance or restricted networks are a factor., • Experience of leveraging the power of the rapidly emerging AI agents without compromising on quality. Working location: This role will be primarily based at either our Bristol or Westbury offices for approximately 1 • 2 days per week. It operates within a flexible hybrid working model, with the option for regular home working. The role will also involve travel within the UK and overseas. Why join Cervus? Cervus is a performance analytics and technology company helping defence and security organisations make better decisions, faster. Based in the southwest UK with offices in Bristol and Westbury, we value hybrid working, curiosity, collaboration, and continuous improvement. Joining us means contributing to meaningful, high-impact projects, working with talented colleagues, and helping shape the future of data-driven capability development. This role typically involves 1 –2 days per week in the office and travel within the UK and overseas. How to apply We’re committed to fostering an inclusive workplace where everyone can thrive. We welcome applications from candidates with disabilities and will provide reasonable adjustments during the recruitment process and in the workplace. If you have questions about the role or require any adjustments, please contact . Interviews will take place from March 2026.

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

BI Developer Trustmarque | Remote (UK) | Full-time Are you passionate about turning data into meaningful insights that drive real business decisions? At Trustmarque, we’re looking for a talented BI Developer to join our growing data team and play a pivotal role in shaping how data is transformed, modelled, and consumed across the organisation. This is a fully remote role where you’ll sit at the intersection of data engineering and business intelligence, acting as the vital link between technical data pipelines and impactful business reporting. About the Role As a BI Developer, you’ll work closely with Data Engineers and Data Analysts to transform raw data into clean, structured, and analytics-ready datasets. You’ll design and maintain transformation pipelines, build robust semantic models, and deliver high-quality Power BI dashboards and reports that empower stakeholders to make confident, data-driven decisions. What You’ll Be Doing • Act as the key bridge between Data Engineering and Data Analyst teams, ensuring data is structured, documented, and ready for reporting, • Design and build scalable transformation pipelines within Microsoft Fabric, • Develop reusable, well-documented semantic data models optimised for Power BI, • Create and maintain engaging, interactive Power BI reports and dashboards, • Apply advanced techniques including DAX, Power Query, and row-level security, • Support and optimise data pipelines, transforming manual processes into automated, scalable solutions, • Collaborate with stakeholders to translate business requirements into data-driven solutions, • Implement data quality checks, validation rules, and monitoring processes, • Uphold data governance best practices across the BI layer, • Optimise performance of datasets and pipelines (e.g. incremental refresh, query folding, aggregations), • Conduct data audits to improve quality, security, and governance, • Maintain clear documentation of data flows, lineage, and transformations, • Strong hands-on experience with Microsoft Fabric (Pipelines, Dataflows Gen2, Lakehouse, OneLake), • Advanced Power BI skills (report design, DAX, Power Query, dataset management, governance), • Solid understanding of data modelling principles, including star schema design, • Strong SQL skills with a focus on performance optimisation, • Experience with ETL/ELT processes and data transformation workflows, • Knowledge of data warehousing concepts and architectures, • Understanding of data governance, including quality, security, and compliance, • Excellent problem-solving skills with the ability to analyse complex datasets, • High attention to detail and commitment to data accuracy, • Strong communication skills with the ability to work across technical and non-technical teams At Trustmarque, you’ll be part of a collaborative and forward-thinking environment where data is at the heart of decision-making. You’ll have the opportunity to work with modern technologies, influence data strategy, and deliver solutions that make a real impact.

Full Stack Developer | Python & JavaScript Salary: Up to £55,000 (DOE) Location: Bristol, Hybrid (2 days a week) Security clearance: Must be eligible for SC Clearance We're glad to be working with a fast-growing and innovating software company to find a talented Full Stack Developer to join their expanding team to build a variety of market-leading, interactive solutions. Please note, all applicants MUST have lived in the UK for the past 5 years and be eligible for SC clearance to be considered. The Role: You'll be part of a collaborative software engineering team, contributing to the design, development and maintenance of web applications using Python & JavaScript. You'll work closely with data scientists, analysts and delivery teams to build clean, scalable solutions whilst receiving on-the-job training & career progression opportunities. This is an excellent opportunity for a Full Stack Developer to work on scalable platforms and analytics capabilities that have real-world impact, in addition to joining a company forecasting considerable growth and success over the next few years. Requirements: • Minimum 3+ years in a dedicated full stack development position within a data/product-led environment, with strong commercial experience in Python & JavaScript., • Practical experience with containerisation technologies, particularly Docker and Kubernetes, within a Linux-based environment., • A strong grasp of RESTful API design and microservices architectures, with experience building scalable, maintainable services., • Confidence working across SQL and NoSQL databases, with an understanding of data lake architectures and ETL processes., • Eligible for SC Security Clearance. If you meet the requirements, please apply for an informal chat and full job description.

Data Engineers — Contract Multiple roles · Mid-level & Senior · Hybrid (UK) 📌 Rate: £450–£600 per day (Inside IR35, dependent on experience) 📌 Duration: 6-month SOW initially; longer-term programme (2–3 years overall) 📌 Location: Remote (UK-based) — occasional travel to the Midlands (up to 2 days/month) 📌 Clearance: SC eligible required (UK residency) Hanover are building two data engineering teams to support a large-scale, long-running programme within Central Government. This role centres around designing and building data pipelines in a modern cloud environment, embedded within multi-disciplinary Agile teams. There are both mid-level, senior and lead positions available, so we're open to a range of experience levels. What you'll be doing – Designing, building and maintaining scalable ETL/ELT data pipelines – Working with structured data sources to support analytics and downstream services – Collaborating within Agile delivery teams alongside engineers of mixed seniority – Improving data quality, performance and reliability – Contributing to knowledge sharing and good engineering practice across teams What we're looking for – Strong background as a Data Engineer in complex, delivery-led environments – Solid ETL/ELT experience — Talend is highly desirable – Experience with one or more of: AWS, Oracle, PL/SQL, PostgreSQL – Strong SQL and data modelling fundamentals – Comfortable working in Agile teams with real delivery pressure Nice to have – Central or wider public sector experience – Exposure to large-scale or regulated data environments

We’re looking for a highly skilled Lead Data Engineer to provide technical leadership across data engineering, delivery execution and project governance. This role ensures development standards are upheld while delivering high‑quality, reliable solutions on time and within budget. It’s suited to someone highly organised, confident and an excellent communicator, with the ability to engage stakeholders at all levels across Development and IT Change. As Lead Data Engineer, you’ll interpret detailed technical requirements and deliverables across multiple projects, acting as a subject‑matter expert in data‑engineering technologies and contributing to effective solution design. You’ll mentor, support and guide developers to help them grow and deliver successfully, while balancing your involvement across various initiatives to provide direction, technical leadership and oversight wherever it’s needed. Skills & Experience • Strong consultancy background across ETL/ELT, data warehousing and big‑data solutions, with hands‑on delivery experience and proven leadership/mentoring in an onshore–offshore model., • Proficiency with ETL tools and cloud data services (AWS preferred — e.g., Glue; with exposure to Azure Data Factory), plus experience implementing CI/CD for data; knowledge of Informatica tools is beneficial., • Experience working with major databases such as Postgres, Redshift, Oracle, SQL Server or Snowflake, along with strong SQL capability and working knowledge of Python/PySpark., • Ability to synthesise complex business and technical inputs into practical, scalable data‑engineering patterns including ETL/ELT pipelines, event‑driven ingestion and data‑quality frameworks., • Confidence in constructively challenging solution approaches to improve performance, security and reliability.

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.

Palantir Data Consultant – Defence & Security Bristol, London or Manchester DV Clearance Eligible Required The Opportunity An exciting opportunity to join a growing Technology & Transformation capability supporting high-impact Defence & Security programmes. This role sits at the intersection of data engineering, architecture, and business transformation, delivering mission-critical solutions using the Palantir platform. Key Responsibilities • Design, build, and optimise data pipelines and ETL workflows within Palantir Foundry, • Develop scalable data models and architect robust Foundry solutions, • Transform complex, multi-source data into structured, high-quality assets, • Implement data governance, lineage, and quality frameworks, • Develop applications within the Palantir ecosystem (low-code and pro-code), • Collaborate with cross-functional teams using agile methodologies, • Translate business requirements into technical solutions that deliver measurable outcomes Required Experience & Skills • Hands-on experience with Palantir Foundry and/or Gotham, • Strong background in data engineering, including ETL and pipeline development, • Experience working with batch, streaming, and unstructured data, • Proficiency in Python and/or TypeScript, • Understanding of data modelling, system design, and scalable architectures, • Knowledge of data governance, metadata management, and security principles, • Strong communication skills with the ability to engage technical and non-technical stakeholders, • Familiarity with SDLC, version control, and CI/CD practices Security Requirements Candidates must have an active UK Developed Vetting (DV) clearance.

What You’ll Be DoingLead and mentor a team of Data Engineers in an Agile delivery environmentOwn technical planning, roadmap alignment, sprint execution, and delivery trackingBuild and maintain scalable ETL/ELT pipel

We are seeking a skilled and proactive Data Engineer to design, develop, and implement advanced data reporting and processing solutions. The successful candidate will combine strong technical expertise in data engineering, reporting, workflow automation, and database management with excellent communication and project coordination skills. Key Responsibilities Design, develop, and maintain interactive dashboards and reports using Power BI Build and optimise scalable ETL (Extract, Transform, Load) pipelines Develop and manage automated workflows using Python and Apache Airflow Manage and optimise SQL and Oracle database environments for performance, reliability, and scalability Lead end-to-end data and reporting initiatives from requirements gathering through deployment Collaborate with technical and non-technical stakeholders to ensure successful project delivery Ensure adherence to data quality, governance, and security best practices Provide technical guidance and mentoring to team members Produce and maintain technical documentation, procedures, and process guides Required Skills & Experience Proven experience developing dashboards and reports with Power BI Strong Python programming skills for data processing and automation Solid experience with SQL and Oracle database systems Hands-on experience with Apache Airflow for workflow orchestration Strong understanding of ETL processes, data pipelines, and data architecture Experience managing data-focused projects including planning, coordination, and risk management Ability to communicate effectively with both technical and non-technical stakeholders Strong analytical and problem-solving skills Fluent English communication skills Preferred Skills Experience with PostgreSQL databases Exposure to data governance and cybersecurity best practicesRullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants

Description Motability Operations is seeking an experienced Product Owner to become an integral part of our Agile development team. In this role, you'll drive the evolution and implementation of Finance and data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower teams across the business, from marketing to operations, and enable insight-driven decisions. Acting as the bridge between Finance business stakeholders, data scientists, analysts and engineers, you'll manage the Finance product backlog and ensure continuous delivery of capabilities that align with enterprise objectives. Acting as a liaison between stakeholders and the development team, you will translate the product vision into a prioritised & actionable backlog that maximizes business value while ensuring to addresses customer needs. Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product decisions. Strong understanding of Agile frameworks and Product delivery. Analytical mindset and ability to prioritise based on value derived from data insights. You possess a deep understanding of Agile methodologies and have experience managing product backlogs and developing user stories. Your analytical mindset allows you to assess & make data-driven decisions how to deliver features that maximise customer and business value against KPIs. You are passionate about delivering high-quality products that enhance customer experiences, and you thrive in collaborative environments where you can inspire teams to achieve their best work. Minimum Criteria Demonstrable experience as a Product Owner or in a similar role. Experience as a Data Product Owner or Product Owner. Understanding of the software development lifecycle. Familiarity with data engineering workflows and cloud data platforms (AWS, GCP, Azure). Proven experience managing and prioritisation a requirements backlog. Knowledge of regulatory and compliance frameworks (e.g., GDPR, CCPA). Benefits Motability Operations is a unique organisation, virtually one of a kind. We combine a strong sense of purpose with a real commercial edge to ensure we provide the best possible worry-free mobility solutions to over 800,000 customers and their families across the UK. Customers exchange their higher rate mobility allowance to lease a range of affordable vehicles (cars, wheelchair accessible vehicles, scooters, and powered wheelchairs) with insurance, maintenance and breakdown assistance included. We are the largest car fleet operator in the UK (purchasing around 10% of all the new cars sold in the UK) and work with a network of around 5,000 car dealers and all the major manufacturers. We pride ourselves on delivering outstanding customer service, achieving an independently verified customer satisfaction rating of 9.8 out of 10. Our values are at the heart of everything we do. They represent ambition, and we look for our people to live and breathe them every day: We find solutions We drive change We care We operate hybrid working across the organisation where we split our time between working on-site at our offices, and at home, remotely within the UK. We believe hybrid working achieves a good work/life balance for our colleagues, allowing us to connect with each other, collaborate on important work, and perform together to deliver for our customers. It allows us to have the flexibility to work remotely up to 2-days per week whilst also using the great office spaces we have available. As a Motability Operations team member, the benefits you can expect are: Competitive reward package including an annual discretionary bonus 15% non-contributory pension (9% non-contributory pension during probation period) 28 days annual leave with option to purchase and sell days Free fresh fruit and snacks in the office 1 day for volunteering Funded Private Medical Insurance cover Electric/Hybrid Car Salary Sacrifice Scheme and Cycle to Work Scheme Life assurance at 4 times your basic salary to give you a peace of mind that your loved ones will receive some financial help Funded health screening for over 50s Voluntary benefits: charitable giving, critical illness insurance, dental insurance, health and cancer screenings for you and your partner, discounted gym memberships and season ticket loans Employee Discount Scheme with an app to save on the go Free access to healthcare apps such as Peppy, Unmind, Aviva Digital GP and volunteering app on Hand for all employees Generous family leave policies At Motability Operations, we believe in building a diverse workforce, where our people are empowered to attend work as their true selves, and we encourage people from all backgrounds to apply. We want to sustain a culture that nurtures, where employees are free to flourish and where they're rewarded equally, regardless of race, nationality or ethnic origin, sexual orientation, age, disability, or gender. We pride ourselves on being an inclusive employer and as such, all our offices provide first rate disability access. With our hybrid working environment, we do our best to accommodate part-time and flexible working requests where possible, building on our culture of trust, empowerment, and flexibility. TPBN1_UKTJ

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