Senior Data Engineer | London, hybrid (2 to 3 days in the office)
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.