Data Engineer

Description:

This will be a hybrid role requiring 2/3 days in the office and suit a candidate with mid-senior level experience. You do not have to come from a prior financial services background for this role but a keen interest within this domain would be desirable.

What are we looking for?

• Strong experience across the SQL stack including SSRS, SSIS etc.
• Minimum of 3-4 years hands on Data Engineering experience.
• Familiarity with Data Lake architectures and Cloud Services (ideally Azure)
• Background in the design and implementation of ETL processes to integrate data from multiple sources into a cohesive data warehouse environment.
• Keen interest in Financial Services.
• Ability to work collaboratively and take ownership over projects.