9 of 9 Data Pipeline Jobs in East Anglia

Data Engineers ?? Cambridge/Hybrid 2x per week onsite | ?? £60,000£75,000 | ?? SC or DV Clearance Required Were working with a specialist technology consultancy delivering cutting-edge solutions into the UKs most secure government environments. Due to continued growth, theyre looking for a talented Data Engineer to join their secure data team and … help solve complex, high-impact challenges. The role Youll design and develop secure data pipelines and platforms, working on projects that process sensitive, mission-critical information. This is an opportunity to apply your technical skills in an environment where your work has a direct impact on national security. What youll be doing: Build and optimise scalable data pipelines, sourcing from APIs and external datasets, and merging them with other data sources to create unified models Produce geospatial datasets for integration with visualisation tools, helping Analysts and End Users interpret complex information Define and maintain data retention strategies in line with governance requirements Work with varied data formats to unify More ❯

This is a pivotal role in a growing energy business with serious ambitions around data. You’ll shape how data is collected, governed, and used to drive decisions — across operations, risk, and customer delivery. It’s hands-on, strategic, and full of opportunity to lead from the front. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams … through training sessions and knowledge sharing Main Skills Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and More ❯

This is a pivotal role in a growing energy business with serious ambitions around data. You’ll shape how data is collected, governed, and used to drive decisions — across operations, risk, and customer delivery. It’s hands-on, strategic, and full of opportunity to lead from the front. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams … through training sessions and knowledge sharing Main Skills Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and More ❯

This is a pivotal role in a growing energy business with serious ambitions around data. You’ll shape how data is collected, governed, and used to drive decisions — across operations, risk, and customer delivery. It’s hands-on, strategic, and full of opportunity to lead from the front. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams … through training sessions and knowledge sharing Main Skills Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and More ❯

AI/ML and Data Science Developer Hybrid - Stevenage 3/4dpw £70,000 - £80,000 About the Role: We are looking for an AI/ML and Data Science Developer to join a growing team working on cutting-edge Generative AI and Data Science solutions. This role offers the opportunity to design, develop … AI/Machine Learning models, including Large Language Models (LLMs) and GenAI, while working with diverse datasets and modern deployment technologies. You’ll play a key role in data processing, model fine-tuning, and deployment , helping to shape innovative solutions that make a tangible impact. Key Responsibilities: Design, develop, and deploy AI/Machine learning models and solutions … prompt engineering and model re-tuning. Work with a variety of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data for modelling. Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data More ❯

AI/ML and Data Science Developer Hybrid - Stevenage 3/4dpw £70,000 - £80,000 About the Role: We are looking for an AI/ML and Data Science Developer to join a growing team working on cutting-edge Generative AI and Data Science solutions. This role offers the opportunity to design, develop … AI/Machine Learning models, including Large Language Models (LLMs) and GenAI, while working with diverse datasets and modern deployment technologies. You’ll play a key role in data processing, model fine-tuning, and deployment , helping to shape innovative solutions that make a tangible impact. Key Responsibilities: Design, develop, and deploy AI/Machine learning models and solutions … prompt engineering and model re-tuning. Work with a variety of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering. Develop pipelines for creating, preparing, and optimising data for modelling. Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring. Research and apply the latest advancements in Generative AI and data More ❯

Data Engineer - Generative AI Projects 📍 Hybrid | 2-3 Days On-Site | Up to £55,000 + Bonus + Package 🔒 British Citizens Only | BPSS Clearance Required We're hiring a Data Engineer with a passion for automation, clean pipelines, and the future of AI. This is your chance to shape how data powers Generative AI … on innovative internal use-cases - from AI assistants to intelligent search and document automation - this is the perfect next step. 🔧 What You'll Be Doing Building and maintaining data pipelines across structured & unstructured sources Collaborating with internal teams to support Generative AI and NLP projects Ensuring data is secure, compliant, high-quality, and easy to access … customers across multiple teams and functions 🧠 What You'll Bring Experience with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI 🌟 Bonus Points For Docker/containerisation More ❯

Data Engineer - Generative AI Projects 📍 Hybrid | 2-3 Days On-Site | Up to £55,000 + Bonus + Package 🔒 British Citizens Only | BPSS Clearance Required We're hiring a Data Engineer with a passion for automation, clean pipelines, and the future of AI. This is your chance to shape how data powers Generative AI … on innovative internal use-cases - from AI assistants to intelligent search and document automation - this is the perfect next step. 🔧 What You'll Be Doing Building and maintaining data pipelines across structured & unstructured sources Collaborating with internal teams to support Generative AI and NLP projects Ensuring data is secure, compliant, high-quality, and easy to access … customers across multiple teams and functions 🧠 What You'll Bring Experience with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI 🌟 Bonus Points For Docker/containerisation More ❯

with enterprise platforms (SAP, Salesforce, ServiceNow, CI/CD, Databricks), with human-in-the-loop controls, observability, and auditability. Hybrid Skillset : Strong grounding in traditional machine learning and data workflows (forecasting, scoring models, risk detection, NLP etc) alongside Gen AI/LLM-based architectures. Able to select the right approach (ML vs LLM vs hybrid) for each problem. … Expertise across RAG also, and experience with RPA/automation for understanding/awareness. Security & Risk by Design : Deep understanding of Gen AI risks, including prompt injection, data leakage, model misuse, and adversarial attacks. Build transparent, auditable solutionswith traceability of agent decisions and data lineage. Apply threat modelling and compliance thinkingfrom the start, not as an … afterthought. Enterprise Engineering : Hands on experience in building data pipelines, secure API integrations, and scaling MVPs into stable, reusable services. Translational Ability : Can communicate effectively across technical and business domains, ensuring solutions align to ROI and strategy. More ❯