Senior Data Engineer

London, hybrid (2 to 3 days in the office) | £60,000 to £75,000 | Permanent About the company A global data and AI consultancy helping leading organisations turn data into real business results. You'll join a growing London team of data engineers, data scientists and consultants, working on varied, client-facing projects.

The role Design, build and maintain scalable data pipelines using SQL and Python Lead the integration of complex data systems, keeping data consistent and accurate across platforms Implement CI/CD for data pipelines Work with architects, analysts and stakeholders to turn business requirements into technical delivery Mentor and manage a team of data engineers Set and enforce best practice on data governance, security and compliance What you'll need 3 to 7 years in data engineering, with real ownership of production pipelines Strong SQL and Python, plus hands-on Git Production experience with at least one of Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow or PySpark Cloud-native orchestration and distributed data processing Infrastructure as code (e.g.

Terraform) CI/CD and DevOps or DevSecOps practice A sound grasp of data architecture: data mesh, lake, warehouse and lakehouse Clear communication, with the ability to explain technical decisions to non-technical stakeholders Nice to have Azure, AWS or GCP certifications Databricks, Snowflake or similar certifications Experience leading large-scale data engineering projects What's on offer £60,000 to £75,000 base salary Hybrid working with a flexible approach to remote days Managed working hours, 9am to 6pm Varied, client-facing projects across a range of industries Please note: applicants must already have the right to work in the UK.

How to apply: apply with your CV or contact George Bennett at We Are Dcoded for a confidential conversation. AMRT1_UKTJ ...

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