Job Title: Senior Data Engineer Location: Leeds, on-site 2x per week Salary: Up to £85,000 Why Apply? Our client is looking for a talented Senior Data Engineer to play a key role in their ongoing digital transformation. This position offers the chance to develop the initial data strategy, design scalable pipelines from scratch, and create a data lake that will be central to reporting initiatives. If you are experienced in managing AWS based data infrastructures and eager to drive innovative solutions, this role is perfect for you. This is a unique opportunity to influence the data strategy and define data architecture from the outset, with no pre-existing frameworks. You'll work in a collaborative, forward thinking environment where innovation is encouraged, with flexible working arrangements and opportunities for professional growth. Responsibilities Design, build, and optimise scalable, automated data pipelines to ingest, process, and deliver quality data across internal systems. Lead the setup and ongoing evolution of a centralised data lake in AWS to unify data from various sources, supporting BI and analytics needs. Partner with product managers, analysts, software developers, and IT to ensure data integration and reporting capabilities support business goals. Manage and optimise AWS data warehousing and lake architectures to ensure high quality, accessible data for insights. Enable efficient data processing, transformation, and analysis through best in class AWS technologies and methodologies. Identify opportunities for workflow optimisation and automation to enhance performance. Stay current with modern AWS data engineering technologies to ensure the infrastructure remains scalable and future-ready. Requirements Proven experience as a Data Engineer, with a track record of designing and managing scalable data pipelines and infrastructure in AWS. Strong expertise with AWS services, including Glue, Redshift, Data Catalog, and large-scale data storage solutions such as data lakes. Proficiency in ETL/ELT tools (e.g. Apache Spark, Airflow, dbt). Skilled in data processing languages such as Python, Java, and SQL. Strong knowledge of data warehousing, data lakes, and data lakehouse architectures. Excellent analytical and problem-solving skills with good attention to detail. Comfortable working in agile environments. Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. A proactive, adaptable mindset, with the ability to embrace complexity and uncertainty. What's in it for me? Influence the data strategy and architecture from day one. A collaborative, forward thinking environment where innovation is encouraged. Continuous learning and development opportunities within a fast-growing, tech-driven company. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

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