Senior Data Engineer | AWS & Databricks | Hybrid (London)

Jefferson Frank; Greater London; Hybrid; GBP 67,500 - 82,500; Full time

Benefits offered by this job

Competitive benefits

Professional growth

Job summary

Jefferson Frank in London is seeking a Senior Data Engineer to design and optimize data pipelines using AWS and Databricks. You will work closely with the Data Science team to enable advanced analytics and ML models, driving data-driven decision making.

Hybrid role based in London with opportunities for growth and development. We value collaboration across cross-functional teams and a strong foundation in data warehousing and ETL processes.

Qualifications

• Strong experience with AWS services and Databricks.
• Proficiency in SQL and data modeling.
• Experience with ETL and data integration tools.
• Knowledge of data warehousing concepts.
• Ability to collaborate with cross-functional teams.

Responsibilities

• Develop data pipelines to support analytics and ML models.
• Collaborate with Data Science and cross-functional teams.
• Contribute to data strategy and operations.

Skills

AWS

Databricks

SQL

Data modeling

ETL

Data warehousing

Cross-functional collaboration

Job description

Jefferson Frank in London is seeking a Senior Data Engineer to design and optimize data pipelines using AWS and Databricks. You will work closely with the Data Science team to enable advanced analytics and ML models, driving data-driven decision making.

Hybrid role based in London with opportunities for growth and development. We value collaboration across cross-functional teams and a strong foundation in data warehousing and ETL processes.