At a Glance
- Tasks: Own and enhance our data platform, transforming real estate data into actionable insights.
- Company: Valor Real Estate, a leading private equity manager with significant investment capital.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Join a dynamic team where your contributions directly influence investment strategies.
- Why this job: Make a real impact in a fast-paced environment while working with cutting-edge technology.
- Qualifications: 5+ years of data engineering experience, strong Python and SQL skills required.
The predicted salary is between 70000 - 90000 € per year.
About Valor
Valor Real Estate is a last-mile logistics real estate private equity manager with c.€5bn AUM across more than 200 buildings and significant capital available for further investment. Valor has c.€1bn available funding raised as dry powder for investment with a large institutional investor.
About Research and Technology
Our Research & Technology team works closely with our private equity partners, operating as an extension of their deal teams to develop investment theses, identify structural trends and evaluate opportunities across EMEA. We combine market research with modern data infrastructure and analytics to deliver actionable insights that support underwriting, portfolio strategy and capital allocation decisions. By leveraging automation, scalable cloud systems and advanced data engineering, we transform fragmented real estate and market data into structured intelligence.
We are hiring a Senior Data Engineer to take ownership of our data platform. You will work directly with the Head of Research and across the investment, asset management, and finance teams to build the systems that underpin Valor's investment process.
Responsibilities:
- Own end-to-end data platform architecture — ingestion, storage, modelling, and consumption layers
- Define and enforce data governance standards — lineage tracking, access controls, and quality frameworks
- Convert existing Excel-based financial and research models into maintainable, tested Python logic, preserving and formalising embedded business rules
- Build reusable analytical libraries covering real estate metrics and investment KPIs
- Build and maintain CI/CD pipelines, scheduling infrastructure, and a control dashboard for pipeline observability
- Drive efficiency through automation across research, investment, finance, and asset management
- Design and deploy agent-based and multi-agent AI workflows to support the research and investment process
- Lead delivery of new technology initiatives end-to-end, from scoping through to production
- Work directly with non-technical stakeholders to translate business needs into technical solutions
What We're Looking For:
- Candidates with analytical and numerical backgrounds, with relevant Degrees in Engineering, computer science, maths related fields
- 5+ years of hands-on data engineering experience, with time in a small team where you have owned systems end-to-end
- Strong Python and SQL
- Deep experience with Snowflake (or equivalent cloud warehouse), dbt, and modern orchestration tools (Airflow, Dagster, Prefect), and Docker
- Demonstrable track record of designing and operating production ETL/ELT pipelines from ambiguous source data through to clean, governed consumption layers
- Practical experience building CI/CD pipelines and observability tooling for data systems
This is a fast-paced environment where priorities evolve and engineers are expected to adapt accordingly. The role is hands-on and full-stack, working in close partnership with the business.
Equal Opportunities
We are an equal opportunities employer and are committed to creating an inclusive environment for all employees. We welcome applications from all suitably qualified individuals regardless of age, disability, gender identity or expression, race, religion or belief, sex, sexual orientation, marital status, pregnancy or maternity. All employment decisions are made based on merit, skills and business need.
Private Equity Senior Data Engineer in City of London employer: Valor Real Estate Partners LLP
Valor Real Estate is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Senior Data Engineer, you will play a pivotal role in shaping our data platform while enjoying opportunities for professional growth and development within a supportive team culture. With a commitment to inclusivity and a focus on leveraging cutting-edge technology, Valor provides a unique chance to make a meaningful impact in the fast-paced world of private equity real estate.
Contact Detail:
Valor Real Estate Partners LLP Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Private Equity Senior Data Engineer in City of London
✨Network Like a Pro
Get out there and connect with people in the private equity and data engineering space. Attend industry events, join relevant online forums, and don’t be shy about reaching out to folks on LinkedIn. You never know who might have the inside scoop on job openings!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with Python, SQL, and cloud tools like Snowflake. Share specific examples of how you've built and maintained data platforms or automated processes – this will really make you stand out!
✨Tailor Your Approach
Before any interview, do your homework on Valor and their investment strategies. Tailor your responses to show how your skills can directly benefit their research and technology team. This shows you're not just looking for any job, but that you're genuinely interested in what they do.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Valor and ready to take on the challenges of a Senior Data Engineer.
We think you need these skills to ace Private Equity Senior Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your data engineering experience, especially with Python and SQL, and any relevant projects you've worked on that align with our needs at Valor.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about the role and how your background makes you a great fit. Be specific about your experience with data platforms and how you've driven efficiency through automation in previous roles.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise! Mention your experience with Snowflake, dbt, and orchestration tools like Airflow. We want to see how you’ve built and maintained CI/CD pipelines and ETL processes.
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 us you’re keen on joining our team!
How to prepare for a job interview at Valor Real Estate Partners LLP
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your Python and SQL skills, and be ready to discuss how you've built and maintained ETL/ELT pipelines in the past. Being able to articulate your experience with tools like Snowflake and dbt will definitely impress.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Valor is looking for someone who can adapt quickly in a fast-paced environment, so share examples of how you've driven efficiency through automation or tackled ambiguous data sources.
✨Understand the Business Context
Since you'll be working closely with non-technical stakeholders, it’s crucial to demonstrate that you can translate business needs into technical solutions. Familiarise yourself with real estate metrics and investment KPIs, and think about how your work as a data engineer can directly impact investment decisions.
✨Prepare Questions That Matter
Interviews are a two-way street! Prepare insightful questions about Valor's data platform and their approach to integrating technology with investment strategies. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
