Data Engineer – Leading Boutique Asset Manager – Discrete Search – Excellent Compensation + Benefits

JR United Kingdom; London; On-site; GBP 50,000 - 75,000; Full time

Job summary

A leading private capital asset manager in London seeks a Data Engineer to enhance their data operations. This role involves building data pipelines, delivering reports, and collaborating closely with stakeholders to drive efficient data solutions. The ideal candidate will thrive in a dynamic team, bringing expertise in SQL and a range of programming skills.

Qualifications

• Experience in data engineering or analytics in finance or regulated environments.
• Strong proficiency in SQL Server, Azure SQL, and SSIS.
• Familiarity with ETL best practices and version control tools.

Responsibilities

• Develop and support data pipelines for data ingestion and transformation.
• Design MI and BI reports from various data sources including SQL databases.
• Automate business processes and manage ETL troubleshooting.

Skills

Data Engineering

SQL

Azure Data Factory

Power BI

Programming (C# .NET, Python)

Job description

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Data Engineer – Leading Boutique Asset Manager – Discrete Search – Excellent Compensation + Benefits, london

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Client:

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

26.06.2025

Expiry Date:

10.08.2025

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Job Description:

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 [emailprotected] .