At a Glance
- Tasks: Develop data processes and reporting structures in a cloud environment.
- Company: Respected UK investment management firm focused on innovation.
- Benefits: Competitive salary, professional development, and the chance to influence data strategy.
- Other info: Collaborative environment with opportunities for growth and leadership exposure.
- Why this job: Join a purpose-driven team and make a real impact in investment operations.
- Qualifications: Strong SQL, Excel, and Python skills; experience in data analysis preferred.
The predicted salary is between 43200 - 72000 £ per year.
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 evolve, working alongside a highly experienced leadership team (dotted line to SLT for the incumbent).
Senior Data Engineer (Investment Operations) employer: Synchronicity Group
Join a dynamic and innovative team dedicated to transforming the UK pensions landscape. As a Senior Project Manager, you'll benefit from a collaborative work culture that values your expertise and encourages professional growth through challenging projects and engagement with senior stakeholders. Located in a fast-paced environment, this role offers the unique opportunity to influence significant industry changes while working with cutting-edge technology and a diverse range of partners.
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We think this is how you could land Senior Data Engineer (Investment Operations)
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We think you need these skills to ace Senior Data Engineer (Investment Operations)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
