Senior Data Engineer (Databricks, Financial Services)
- Published on
About the Role
Seeking an experienced Data Engineer to design, build, and optimise this bank's complex data pipelines and big data infrastructure. You will have deep experience working as a data engineer and architecting scalable data solutions while optimising data processing systems. This role requires both technical excellence and the ability to influence architectural decisions that align with business objectives.
About the Candidate (expectations and nice to have skills)
- Deep experience working as a data engineer (within big consultancies or financial services).
- Great expertise in designing, building, and implementing complex data pipelines.
- Vast experience with Databricks.
- Strong knowledge of distributed computing frameworks e.g. Spark, Hadoop ecosystem.
- Highly experienced with cloud-based data platforms like AWS.
- Solid programming skills with Python and Spark.
- Demonstrated ability to engineer and architect solutions for Big Data.
- Experienced with defining target architecture.
- Financial product knowledge e.g. assets, bonds, swaps would be desirable.
About the Company
Hays is a globally renowned recruitment firm closely working with a leading bank in London, England. They focus on providing expert solutions in recruitment, specifically in financial services.
Company Culture and Benefits
Flexible working options are available, promoting a balance between personal and professional life. Hays supports its employees by fostering an inclusive and progressive work environment.
What You Need to Do Now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV or call us now. Join Hays to be part of a dynamic team making significant impacts in the financial sector.