Data Engineer (Asset Management)

Your newpany
Working for a global small/medium Asset Management firm.

Your new role
Working as a Data Engineer in three key areas, firstly the support of ETL monitoring and maintaining the ETL process, where you will manage, support and develop ETL pipelines to ingest data into their data lake/ data warehouse - diagnosing and fixing data-related issues, log analysis, tracing errors back to the source.

Secondly, Mi reporting/ Bi reporting and data analysis providing analysis/ reports from the in-house data warehouse. You will be supporting extending business reports and migrating business reports into Power Bi as well as liaising with users to determine requirements for reporting/ data extracts to support analysis and resolve data issues, providing ad-hoc reporting.

Finally, development and testing to automate key business activities. Modernising the data management, reporting and ETL processes. You will transition manual activities to robust automated processes.

What you'll need to succeed

Great experience working in Financial Services and in Asset Management or private equity. Fantastic experience with Microsoft Azure Cloud, SQL as well as with Microsoft Data Factory & Logic App/ Azure Functions to support/ development. Expertise with Power BI and DAX (for business intelligence reporting). Strong experience working on ETL processes. Great programming ability to develop stored procedures & for data analytics with Python / R. You have the ability to extend and debug using C# code. Experience using Git source control and deployment pipelines (Azure DevOps or similar). Knowledge of the full SDLC. Experienced in automation testing. Fantastic quantitative skills.

What you'll get in return
Flexible working options available.