2 of 2 Remote Temporary Data Engineer Jobs

We are searching for a Principal Geospatial Data Engineer to join our clients high-performing Data Engineering Team. This role is ideal for an experienced, hands-on professional who thrives on technical leadership, innovation, and delivery. As a 100% data-driven company, our customer prides itself on engineering excellence and delivering impactful solutions and services to … time and fully remote with very occasional trips to the office. You will also receive an extensive benefits package and a competitive salary. Reporting directly to the Head of Data Engineering , you will play a crucial role in driving the team's vision and objectives to completion. You will be expected to provide technical leadership, own the solution, ensure … the reliability of data products, and collaborate closely with your team and customers to optimise data solutions. To be considered for this role you MUST have Geospatial Data experience, good knowledge of QGIS & FME , programming/coding abilities in at least two (2) languages and considerable experience of AWS . This really is a unique opportunity for More ❯

Data Engineer Location: Manchester (Hybrid) Type: Temporary ongoing - March 2026 Salary: £35-40ph About the Role We're supporting a well-established organisation in the finance sector who are in search of a skilled Data Engineer . This is a fantastic opportunity to join a forward-thinking business that places data at the centre … of its operations and is investing heavily in its analytics capabilities. Role Overview As a Data Engineer, you'll be responsible for developing and maintaining robust data pipelines that support business intelligence and analytics. You'll work closely with stakeholders to understand their data needs and translate them into scalable, SQL-driven workflows. Your work will … directly support strategic decision-making by ensuring data is clean, reliable, and accessible. Key Responsibilities Build and maintain efficient ETL pipelines to support data transformation and integration. Collaborate with business teams to gather requirements and deliver tailored data solutions. Design and implement structured data models and marts for specific business functions. Ensure high standards of data More ❯