Data Engineer

Senior Data Engineer - PySpark, GCP We're recruiting for a Senior Data Engineer with strong PySpark skills, to join a growing team in building out a modern Lakehouse platform in GCP. This is a hands-on role for someone who can take ownership, work independently, work iteratively and delivery quickly. Key skills and experience: • Strong experience as a Data Engineer in Cloud Environments (ideally GCP but not essentially) • Hands on experience with PySpark and SQL • Experience building data lake / lakehouse platforms • Strong understanding of distributed data processing (Spark) • Experience with Airflow or similar orchestration tools • Ability to design and deliver pipelines end-to-end, independently Nice to have: • Strong GCP experience • Terraform / Infrastructure-as-Code • Experience with data quality tools (Great Expectations, Soda) • Exposure to data catalog / governance tools • Experience of working towards / setting up AI, Agentic Workflows etc What you'll be doing: • Building and optimising PySpark data pipelines • Orchestrating workflows using Airflow • Designing scalable lakehouse architectures • Implementing data quality and validation • Collaborating with analysts to deliver usable datasets This role will be virtually remote, with just 1 day per week required in Central London. It will run for an initial 3 months with likelihood of extension and will be paid at £500 - £550 per day, outside of IR35. For more informaiton on this excellent client and role, please respond with an up to date CV via the links provided.