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- 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 a chance to influence data strategy.
- Why this job: Join a purpose-driven team and make a real impact in investment operations.
- Qualifications: Strong skills in SQL, Excel, Python, and experience in data analysis.
- Other info: Collaborative environment with opportunities for growth and leadership exposure.
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 (dotted line to SLT for the incumbent).
Senior Data Engineer (Investment Operations) in London 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 London
✨Tip Number 1
Network like a pro! Reach out to folks in the investment management space, especially those who work with data. A friendly chat can open doors and give you insights that might just land you that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! If you've got experience with SQL, Python, or reporting tools like Power BI, make sure to highlight these in conversations. We want to see how you can bring your technical prowess to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of investment operations and performance reporting. We recommend having some examples ready that showcase your analytical skills and how you've tackled data challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer (Investment Operations) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Engineer. Highlight your SQL, Excel, and Python skills, and don’t forget to mention any experience in investment operations or financial services. We want to see how you can bring value to our data function!
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. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through!
Showcase Relevant Projects: If you've worked on projects that involved data processes, reporting, or analytics, make sure to include them. We’re interested in how you’ve tackled challenges and improved data quality in previous roles. Real-world examples can really set you apart!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
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 Business
Familiarise yourself with the investment management industry, particularly around pensions and asset management. Knowing the key players and current trends will help you demonstrate your interest and understanding of the role.
✨Prepare for Technical Questions
Expect technical questions that assess your data engineering skills. Practice explaining your thought process when developing data models or managing data integrity, as this will show your analytical capabilities.
✨Showcase Collaboration Skills
Since the role involves working closely with internal stakeholders and external partners, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and proactive approach to problem-solving.
