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- Tasks: Develop data processes and models while ensuring data accuracy and insightful reporting.
- Company: Join a respected UK investment management firm focused on innovation.
- Benefits: Competitive salary, growth opportunities, and a chance to influence data strategy.
- Why this job: Be part of a purpose-driven team transforming the investment landscape.
- Qualifications: Strong skills in SQL, Excel, Python, and experience in data analysis.
- Other info: Collaborative environment with a focus on professional development.
The predicted salary is between 36000 - 60000 £ 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
- 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
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.
Senior Data Engineer (Investment Operations) in England employer: Synchronicity Group
Contact Detail:
Synchronicity Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Investment Operations) in England
✨Tip Number 1
Network like a pro! Reach out to people in the investment management space, especially those who work at Synchronicity Group. A friendly chat can open doors and give you insider info on the role.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your SQL, Python, and data analysis prowess. This will not only impress but also demonstrate your hands-on experience.
✨Tip Number 3
Be ready for the interview! Brush up on common data engineering questions and be prepared to discuss your past experiences in performance reporting and investment operations. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer (Investment Operations) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your technical skills in SQL, Excel, and Python, and showcase any relevant experience in data analysis or investment operations. We want to see how you can contribute to our data strategy!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Don’t forget to mention any experience with reporting tools like Power BI or Bloomberg PORT.
Showcase Your Projects: If you've worked on any projects that demonstrate your data engineering skills, make sure to include them! Whether it's a personal project or something from a previous job, we love seeing practical examples of your work and how you’ve tackled challenges.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect directly with us!
How to prepare for a job interview at Synchronicity Group
✨Know Your Data Tools
Make sure you brush up on your SQL, Excel, and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to data analysis and performance reporting.
✨Understand the Investment Landscape
Familiarise yourself with the basics of investment operations and financial services. Knowing about pensions, asset management, and custodians will help you speak confidently about how your role as a Data Engineer fits into the bigger picture.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and understanding of data integrity and control frameworks. Practise explaining your thought process clearly, as communication is key in collaborative environments.
✨Showcase Your Collaborative Spirit
Be ready to share examples of how you've worked with internal stakeholders or external partners to improve data quality. Highlight your proactive approach and excellent communication skills, as these are crucial for the role.