Data Engineer

Data Engineer - ETL - Data Warehousing - SWL - 6 month contract - Paying up to £500 per day (InsideIR35) - Immediate starters Overview My client is looking for a Senior Data Engineer who can hit the ground the running and has commercial experience working with ETL and Data Modelling. What you'll do: • Build Scalable Data Solutions - Design, build and support Data Models & distributed ETL pipelines using big data technologies on large scale data sets. • Deliver Impactful Data Features - Collaborate with our many stakeholders from multiple business areas to understand business and data challenges, thereafter, developing requirements, specifications and recommendations related to a proposed solution. • Champion DataOps & Best Practices- Drive data engineering excellence by embedding DataOps principles and best practices into everything you do - becoming a go-to expert in one or more data domains. • Solve Real-World Problems with Modern Tools- Tackle complex data challenges using tools like Google BigQuery, Python, SQL, and DBT, with opportunities to experiment and optimise through AI. • Lead & Mentor- Support and coach team members, sharing knowledge and acting as a role model while deputising for the Engineering Manager when needed. • Collaborate in Agile Squads- Work effectively across multiple workstream squads embedding as needed to support delivery and provide data engineering expertise. • Shape the Future of Data at Scale - Act as a bridge between various workstreams and the core SDP engineering organisation ensuring alignment to platform best practices, data governance, and architectural principles • Support workstream squads onboarding data feeds using contributing to strengthening collaboration and reducing mismatches with upstream systems. What you'll bring: • Data Analysis & Engineering Expertise - Proven experience designing and building complex data models and distributed data pipelines, with a strong focus on data analysis, insight generation, and solving real-world business problems at scale. • SQL Mastery - Advanced SQL skills for high-performance data transformation, exploration, and optimisation across large, complex datasets • Engineering Best Practices - Solid foundation in software and data engineering, including hands-on experience with CI/CD workflows, test-driven development, and agile collaboration. • Cloud-Based ETL & Data Warehousing - Demonstrated success delivering large-scale data warehousing solutions, including dimensional modelling and ETL pipeline design-ideally within Google Cloud Platform (GCP) and good working knowledge of DBT (Data Build Tool) for building and managing data pipelines. • Modelling & Data Flow Understanding - Knowledge of how data is structured, processed, and applied within analytics and reporting environments. • Incident Support & Operational Readiness - Ability to support the team in diagnosing and resolving data-related incidents, ensuring platform reliability and timely issue resolution The interview process is already underway, so if this opportunity is a good fit for you, apply now!