At a Glance
- Tasks: Lead the development and governance of a cutting-edge data platform.
- Company: Dynamic private equity firm with a strong international presence.
- Benefits: Competitive salary, great benefits, and opportunities for professional growth.
- Other info: Join a forward-thinking team and make a real impact on data practices.
- Why this job: Shape the future of data in a collaborative and innovative environment.
- Qualifications: Hands-on experience with dbt, SQL, and Python; strong communication skills.
The predicted salary is between 80000 - 100000 € per year.
An established European organisation with an international footprint is looking to appoint a Data Lead to evolve its data capabilities. The business operates across multiple sectors and is investing heavily in modern data infrastructure to support decision‑making and growth.
The Role
You will take ownership of the internal data platform, leading its development, governance, and ongoing operation. This role covers the full data lifecycle, from ingestion through to transformation and consumption, with a strong emphasis on reliability, scalability, and data quality. A key focus will be modernising the data stack and embedding best practices in data modelling and transformation. You’ll work closely with both technical teams and business stakeholders to ensure data is accessible, trusted, and actionable.
Responsibilities
- Own and manage the organisation’s data platform and associated tooling
- Lead the transition from legacy systems to a modern data architecture
- Design and maintain scalable data models for analytics and reporting
- Manage end‑to‑end data pipelines, ensuring quality and consistency
- Implement and enforce data governance and security standards
- Drive improvements in data engineering practices and platform performance
- Act as a key point of contact for data‑related best practices
Requirements
- Strong hands‑on experience with dbt (essential)
- Solid SQL skills and experience using Python in a data environment
- Experience working with modern cloud‑based data platforms and ELT workflows
- Proven track record in designing and maintaining analytical data models
- Good understanding of data governance, quality frameworks, and security
- Familiarity with Git, CI/CD, and infrastructure‑as‑code principles
- Strong stakeholder management and communication skills
- Experience in regulated environments is advantageous
What’s Offered
- Opportunity to shape a growing data function
- Collaborative and forward‑thinking environment
- Exposure to modern data tools and practices
- Competitive compensation and benefits
- International scope and impact
Next Steps
Apply below or reach out directly to isaac.salem@twentyai.com
Data Engineering Lead | Private Equity Firm | Hybrid | London | TWE45393 employer: twentyAI
As a Data Engineering Lead at our esteemed private equity firm in London, you will thrive in a collaborative and forward-thinking environment that prioritises innovation and employee growth. We offer competitive compensation, exposure to cutting-edge data tools, and the unique opportunity to shape a growing data function that impacts multiple sectors internationally. Join us to be part of a team that values your expertise and fosters a culture of trust and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead | Private Equity Firm | Hybrid | London | TWE45393
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. Think about how you’d tackle real-world problems and be ready to discuss your thought process with confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Data Engineering Lead | Private Equity Firm | Hybrid | London | TWE45393
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Engineering Lead role. Highlight your hands-on experience with dbt, SQL, and Python, as these are essential for us.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to modernising our data stack. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise! Mention your experience with cloud-based data platforms, ELT workflows, and any familiarity with Git or CI/CD. We want to see how you can drive improvements in our data practices.
Apply Through Our Website:We encourage you to apply directly 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!
How to prepare for a job interview at twentyAI
✨Know Your Data Inside Out
Make sure you’re well-versed in the data technologies mentioned in the job description, especially dbt and SQL. Brush up on your Python skills too, as they’ll likely ask you to demonstrate your hands-on experience with these tools.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Think about examples where you improved data quality or modernised a data stack, as this will resonate well with the interviewers.
✨Understand the Business Context
Since this role involves working closely with business stakeholders, be ready to explain how data can drive decision-making and growth. Familiarise yourself with the sectors the company operates in and think about how data can add value in those areas.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice explaining complex data concepts in simple terms, as you’ll need to bridge the gap between technical teams and non-technical stakeholders. Confidence in your delivery will make a great impression!
