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

JR United Kingdom; City Of London; On-site; GBP 45,000 - 70,000; Full time

Job summary

A leading boutique asset manager is seeking a Data Engineer to enhance their data operations in London. The role involves developing data pipelines, automating key processes, and creating actionable BI reports. Candidates should have strong SQL skills and experience in a financial environment.

Qualifications

• Experience in data engineering or analytics in financial services.
• Proficient in SQL databases and data transformation tools.
• Ability to work in an agile team with effective communication.

Responsibilities

• Develop and manage data pipelines for data lake and warehouse.
• Design MI and BI reports from various data sources.
• Automate business processes and modernize reporting systems.

Skills

Data Engineering

Microsoft SQL Server

Excel

Power Query

Python

C# .NET

PowerShell

Problem-Solving

Communication

Tools

Azure SQL

SSIS

Azure Data Factory

Job description

Social network you want to login/join with:

Data Engineer – Leading Boutique Asset Manager – Discrete Search – Excellent Compensation + Benefits, london (city of london)

col-narrow-left

Client:

Location:

london (city of london), United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

4

Posted:

26.06.2025

Expiry Date:

10.08.2025

col-wide

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] .