My client, a leading private capital asset manager, is seeking a talented Data Engineer to join their growing Technology team based in London.
As a Data Engineer, you will work at the heart of the firm’s data operations, building robust pipelines, modernising reporting frameworks, and enhancing data automation across business-critical functions. This is a collaborative, hands-on role interfacing with stakeholders across the business to deliver efficient, scalable data solutions.
You’ll join a close-knit and dynamic team with direct exposure to senior leadership and the chance to influence Pollen Street’s data architecture as the firm expands its private credit and equity platforms.
Responsibilities
* Develop and support data pipelines to ingest, transform and manage data in the data lake and warehouse.
* Design and deliver insightful MI and BI reports from a variety of sources including SQL databases and Excel.
* Translate business needs into technical reporting requirements, liaising with users to resolve data queries.
* Manage and maintain ETL processes and troubleshoot data issues, including log analysis and issue resolution.
* Automate key business processes and transition legacy/manual systems into modernised, scalable solutions.
* Conduct testing (manual and automated), extend wiki documentation, and contribute to ongoing development projects.
Requirements
* Experience working within data engineering or analytics in a financial or regulated business environment.
* Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory.
* Strong skills in Excel and Power Query; experience developing reports in Power BI desirable.
* Knowledge of programming (e.g., C# .NET, PowerShell, Python or R) and ETL best practices.
* Familiarity with source control tools and deployment pipelines.
* Ability to collaborate within a small, agile team, with excellent communication and problem-solving skills.
To apply, either respond to this advert or send your CV directly to sasha.duquesne@mondrian-alpha.com.