At a Glance
- Tasks: Design and optimise data pipelines using AWS and Databricks for advanced analytics.
- Company: Jefferson Frank, a leading tech recruitment firm in London.
- Benefits: Hybrid work model, growth opportunities, and a collaborative team environment.
- Other info: Exciting career development opportunities in a fast-paced environment.
- Why this job: Join a dynamic team and drive data-driven decision making with cutting-edge technology.
- Qualifications: Strong foundation in data warehousing, ETL processes, and experience with AWS and Databricks.
The predicted salary is between 60000 - 80000 £ per year.
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.
#J-18808-Ljbffr
Senior Data Engineer | AWS & Databricks | Hybrid (London) employer: Jefferson Frank
Join a leading UK manufacturing and supply-chain organisation that is at the forefront of digital transformation. With a strong commitment to employee development, you will have access to competitive salaries and opportunities to enhance your IT and Data management skills in a collaborative and dynamic work environment. Located in Surrey, this hybrid role offers the chance to engage with diverse stakeholders while contributing to innovative solutions that drive business success.
