Data Engineer Remote (UK-based, with occasional office travel) | £45,000 + benefits This is a standout opportunity for an early-career Data Engineer to join a growing, well-supported data team that is investing heavily in modernisation and advanced analytics. They are a well-established UK-based organisation with a long-standing reputation for delivering high-quality services to a broad client base. With a strong focus on innovation, they are investing in their data and AI capabilities to drive smarter decision-making across the business. The data function is a key strategic priority, with strong backing from leadership. You will join a growing data platform team working within a modern cloud-based environment, transitioning to a Databricks Lakehouse architecture on Azure. You will contribute to building scalable data pipelines and improving engineering standards across the platform. Building and maintaining robust data pipelines using Python and PySpark Supporting CI/CD processes and applying DevOps best practices Contributing to code deployment, testing, and release processes Collaborating with engineers, QA specialists, and machine learning teams Working across multiple squads to deliver high-quality data solutions Gaining exposure to data modelling and machine learning workflows over time Hands-on experience with Python and data engineering concepts Exposure to PySpark and large-scale data processing Familiarity with Databricks or similar modern data platforms Understanding of software engineering principles and version control Interest in CI/CD, DevOps, and scalable system design Exposure to AWS or cloud environments Experience with data modelling or analytics workflows Primarily remote working with minimal office requirements Flexible working hours and a strong work-life balance culture Structured learning and development within a modern data environment Opportunity to transition into a permanent role with long-term career progression Exposure to machine learning and advanced analytics initiatives If you are looking to build your career in Data Engineering within a supportive and forward-thinking team, apply now to learn more.
