Senior Data Engineer

• 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

• 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

• 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.

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.