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- Tasks: Lead data engineering for a world-class investment platform and drive automation.
- Company: Join a high-performing team in a prestigious investment organisation.
- Benefits: Competitive salary, 12-month contract with potential extension, and impactful projects.
- Other info: Opportunity for senior visibility and collaboration with tech and investment leaders.
- Why this job: Make a real difference by modernising systems and workflows in investment data.
- Qualifications: 5-10+ years in data engineering, strong Python & SQL skills, and leadership experience.
The predicted salary is between 60000 - 80000 £ per year.
Own the data engineering capability for a world-class investment platform. We’re hiring a Senior Data Engineer to join a high-performing Investment Data & Operations team with one of our client organisations, delivering a major data transformation programme across a complex, multi-asset portfolio. You’ll act as the go-to technical lead for investment data, owning pipeline architecture, driving automation across operations, and ensuring data is reliable, scalable, and decision-ready.
What you’ll be doing:
- Own the end-to-end data pipeline ecosystem (APIs, integrations, data flows across multiple platforms)
- Define and implement data architecture, standards, and governance frameworks
- Build and scale robust, production-grade pipelines supporting reporting & analytics
- Drive automation across investment operations — removing manual, spreadsheet-heavy processes
- Develop dashboards, reconciliation tools, and operational intelligence solutions
- Partner with data, tech, and investment teams to deliver real business impact
What we’re looking for:
- 5–10+ years’ experience in data engineering within asset management / financial services
- Strong Python & SQL — you’ve built and owned pipelines in production
- Proven experience designing data architecture and integration frameworks
- Track record of automating operational workflows end-to-end
- Strong understanding of investment data (portfolios, transactions, valuations, performance)
- Comfortable leading from the front — owning delivery, influencing stakeholders, and setting direction
Why this role?
- High ownership — you’ll define how data engineering is done in the investment function
- Transformation-focused — real opportunity to modernise systems and workflows
- Senior visibility — work directly with investment, operations, and tech leadership
Package:
- Competitive day rate / salary range (depending on experience)
- 12-month fixed-term contract with high potential for extension
- Opportunity to work on a major data transformation programme within a highly regarded investment environment
If you’re a hands-on senior engineer who enjoys building, owning, and transforming — this is a standout opportunity.
Senior Data Engineer (12M FTC) | Investment Data Transformation in City of London employer: Pharos Resource Partners
Contact Detail:
Pharos Resource Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (12M FTC) | Investment Data Transformation in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the investment and data engineering space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and SQL. Share it on platforms like GitHub or LinkedIn. This way, potential employers can see your work in action and understand your capabilities.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data pipelines and automation. Practice common interview questions and think about how you can demonstrate your leadership abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight your experience in data architecture and operational workflows, and let us help you land that dream job!
We think you need these skills to ace Senior Data Engineer (12M FTC) | Investment Data Transformation in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Engineer. Highlight your experience in data engineering, especially within asset management or financial services, and showcase your skills in Python and SQL. We want to see how you've built and owned pipelines in production!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Talk about your experience with data architecture and automation, and how you can drive transformation in investment operations. Remember, we love a good story!
Showcase Your Achievements: When detailing your past roles, focus on specific achievements that demonstrate your ability to lead and deliver results. Whether it's automating workflows or developing dashboards, we want to know how you've made an impact in your previous positions.
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 Pharos Resource Partners
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of investment data, including portfolios, transactions, and valuations. Brush up on your Python and SQL skills, as you'll likely be asked to demonstrate your technical prowess during the interview.
✨Showcase Your Pipeline Experience
Be ready to discuss your previous experience with building and owning data pipelines. Prepare examples that highlight your ability to define data architecture and implement integration frameworks, as this will be crucial for the role.
✨Emphasise Automation Skills
Since the role focuses on driving automation across operations, come prepared with concrete examples of how you've automated workflows in the past. Highlight any tools or techniques you used to remove manual processes and improve efficiency.
✨Demonstrate Leadership and Collaboration
This position requires strong leadership and the ability to influence stakeholders. Think of instances where you’ve led projects or collaborated with cross-functional teams, and be ready to share how you drove real business impact through your initiatives.