Senior Data Engineer - Python, Spark & Databricks (Hybrid)
Senior Data Engineer on a hybrid contract in London's banking sector, doing hands-on work to design, build and optimise scalable data pipelines and analytics platforms using Python, Databricks, Spark/PySpark and SQL in a modern cloud environment, collaborating with architects, engineers and stakeholders.
- Compensation
- Not disclosed
- Location
- London, United Kingdom
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Hands-on Python engineering experience
- Experience with Databricks
- Experience with Spark/PySpark
- Strong SQL skills
- Design, develop and optimise data pipelines
- Experience delivering scalable data platforms and analytics in a cloud environment
Full description
GCS is seeking a Senior Data Engineer for a hybrid, contract role in the banking sector. The role focuses on hands-on engineering using Python, Databricks, Spark/PySpark and SQL, delivering scalable data platforms and analytics capabilities in a modern cloud environment.
You will design, develop and optimise pipelines, contribute to data platform stability and work with architects, engineers and stakeholders to drive efficient data solutions.