2 of 2 Remote Data Engineer Jobs in Bolton

Data Engineer Location: Bolton (Hybrid – 2–3 days on-site per week) Salary: Up to £55,000 (depending on experience) Are you a skilled Data Engineer with a passion for Generative AI and emerging data technologies? This is your opportunity to play a key role in a growing international and cross-functional environment, supporting the … design, development, and optimisation of data pipelines that power next-generation AI systems across a world-class defence organisation. The Role As a Data Engineer (Generative AI) , you’ll be responsible for evaluating, building, and maintaining high-quality data sets for internal customers—ensuring performance, reliability, and maintainability at every stage. You’ll work within MBDA … s IM GenAI Delivery Office , contributing to the design and deployment of resilient, secure, and responsive data pipelines supporting AI and NLP initiatives. You’ll collaborate closely with internal stakeholders, leveraging your expertise in structured and unstructured data to ensure compliance with MBDA’s data governance standards, while actively shaping the organisation’s technology roadmap and advancing More ❯

Remote Senior Data Engineer - Contract Opportunity Role & Logistics Role: Senior Data Engineer (Databricks Focus) Company: Global Technology Platform Location: UK Remote Contract Duration: 6 Months (multi-year scope) Status: Outside IR35 Rate: Competitive Day Rate The Project We are seeking a highly experienced Senior Data Engineer to lead the hands-on delivery of core … data infrastructure for a critical, 6-month project. You will play a key role in designing and implementing scalable data solutions at the center of our technology platform. Key Responsibilities & Deliverables Design, architect, and implement robust, end-to-end data pipelines (batch and streaming). Drive the adoption of modern data engineering practices within the project … technical leader, providing guidance, mentorship, and code reviews to the engineering team. Ensure rigorous engineering discipline, including CI/CD, testing, and monitoring standards are implemented and maintained. Own data workflows from ingestion through transformation, quality assurance, modeling, and delivery to downstream systems. Essential Technical Requirements 5+ years proven experience in a Data Engineering role, building production-ready More ❯