Senior Data Engineer – AWS & Databricks – London

About the role

We are seeking a Senior Data Engineer to join a fast‑growing data and analytics focused client in London. The role involves building data pipelines for advanced analytics and machine learning models while collaborating closely with the data science team. It offers a hybrid working model and the chance to shape the organisation’s data strategy.

Key responsibilities

• Design, develop and maintain data pipelines on AWS and Databricks for advanced analytics and machine learning.
• Collaborate with the data science team to operationalise models and analytical solutions.
• Implement ETL processes and integrate data from multiple sources.
• Support data warehousing architecture and data modelling initiatives.
• Work with cross‑functional teams to ensure data quality and availability.

Required profile

• Strong experience with AWS services and Databricks.
• Proficiency in SQL and solid understanding of data modelling.
• Familiarity with ETL processes and data integration tools.
• Knowledge of data warehousing concepts and architecture.
• Ability to work collaboratively in cross‑functional environments.

Required skills

• AWS
• Databricks
• SQL
• Data modelling
• ETL
• Data integration tools
• Data warehousing
• Architecture design

What we offer

• Hybrid working arrangement based in London.
• Competitive benefits package.
• Opportunities for professional growth and development.