Senior Data Engineer (Investment Operations)

Synchronicity Group; England; On-site; GBP 58,000 - 75,000; Full time

Job summary

A UK investment management firm is seeking a Senior Data Engineer to enhance its data function and deliver high-quality insights for institutional clients. This mid-senior role involves developing data processes, managing data integrity, and supporting performance reporting in a collaborative environment. The ideal candidate will have strong SQL, Excel, and Python skills, with a preference for experience in financial services. This is a full-time opportunity with a focus on innovation in investment management.

Qualifications

• Strong technical skills in SQL, Excel, and Python are non-negotiable.
• Experience in data analysis, performance reporting, or investment operations is required.
• A background in financial services (pensions, asset management, or custodians) is preferred.
• Comfortable managing large data sets with detail-focused analytical skills.

Responsibilities

• Develop data processes, models, and reporting structures in the cloud environment.
• Manage data integrity and control frameworks across multiple systems.
• Support the end-to-end client reporting cycle, including performance and attribution reporting.
• Collaborate with service providers to improve data quality and automate workflows.
• Contribute to the enhancement of the firm’s data and analytics strategy.

Skills

SQL

Excel

Python

Data analysis

Performance reporting

Investment operations

Data quality improvement

Communication skills

Tools

Power BI

FactSet

Bloomberg PORT

Job description

Senior Data Engineer (Investment Operations)

This range is provided by Synchronicity Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Synchronicity Group

We’re working with a highly respected UK investment management business looking to strengthen its reporting and analytics capabilities. This is a fantastic opportunity for a Data Engineer to play a key role in building out the firm’s data function and delivering high-quality insight for institutional pension fund clients.

You’ll help develop the data strategy (including reporting and analytics functions) to support the firm’s investment operations and fiduciary management activities. The role will combine hands‑on data engineering with performance reporting, attribution, and oversight of key investment data providers. You’ll work closely with internal stakeholders and external partners to ensure data accuracy, operational efficiency, and insightful reporting across a broad range of asset classes.

Key Responsibilities

• Develop data processes, models, and reporting structures in the cloud environment
• Manage data integrity and control frameworks across multiple systems (e.g., CRIMS, custodians, data warehouses)
• Support the end‑to‑end client reporting cycle, including performance and attribution reporting
• Collaborate with service providers to improve data quality and automate workflows
• Contribute to the ongoing enhancement of the firm’s data and analytics strategy

About You

• Strong technical skills in SQL, Excel, and Python (non‑negotiable)
• Experience in data analysis, performance reporting, or investment operations
• Background in financial services (pensions, asset management, or custodians) preferred
• Familiarity with reporting tools such as Power BI, FactSet, or Bloomberg PORT
• Detail‑focused, analytical, and comfortable managing large data sets
• Collaborative and proactive, with excellent communication skills

Why Apply?

This is an exciting chance to join a growing, purpose‑driven investment organisation at the forefront of innovation in UK pensions and asset management. You’ll have the freedom to influence how the data and reporting functions evolves, working alongside a highly experienced leadership team (dotted line to SLT for the incumbent).

• Seniority level: Mid‑Senior level
• Employment type: Full‑time
• Job function: Analyst
• Industries: Investment Management, Financial Services, and Professional Services

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