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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 the chance to influence data strategy.
- 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.
- Other info: Collaborative environment with opportunities for growth and leadership exposure.
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
Contact Detail:
Synchronicity Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Investment Operations)
✨Tip Number 1
Network like a pro! Reach out to connections in the investment management sector and let them know you're on the hunt for a Senior Data Engineer role. A personal recommendation can go a long way in landing that interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your SQL, Python, and data analysis projects. This will help you demonstrate your technical prowess and give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Be proactive in your job search! Don’t just wait for roles to be advertised; reach out directly to companies you admire, like the one we're working with. Express your interest and ask about potential opportunities – you never know what might come up!
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining a forward-thinking team in the investment space.
We think you need these skills to ace Senior Data Engineer (Investment Operations)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Engineer. 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 your familiarity with reporting tools like Power BI or Bloomberg PORT.
Showcase Your Projects: If you've worked on any projects that involved data processes, models, or reporting structures, make sure to include them. We love seeing real-world applications of your skills, especially if they relate to performance reporting or data integrity!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
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 sector, particularly around pensions and asset management. Knowing the key players and current trends will help you demonstrate your interest and understanding of the role's context.
✨Prepare for Technical Questions
Expect technical questions that assess your data engineering skills. Practice explaining your thought process when developing data processes or models, and be prepared to tackle hypothetical scenarios related to data integrity and reporting.
✨Showcase Collaboration Skills
Since the role involves working closely with internal stakeholders and external partners, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and any experience you have in improving data quality through teamwork.
