Data Engineer (12 month FTC)

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. You will be part of a collaborative engineering environment where learning, progression, and exposure to cutting-edge technologies are central to the role. The Company 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. Their culture blends technical excellence with a genuinely supportive and people-focused approach. The data function is a key strategic priority, with strong backing from leadership. The Role 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. Responsibilities include: • 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 • Supporting the ongoing development of the Databricks platform • Gaining exposure to data modelling and machine learning workflows over time Your Skills & Experience • 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 • Strong communication skills and a collaborative mindset • Motivation to learn and grow within a high-performing team Desirable: • Exposure to AWS or cloud environments • Experience with data modelling or analytics workflows What They Offer • 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 How to Apply If you are looking to build your career in Data Engineering within a supportive and forward-thinking team, apply now to learn more.