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, collaborative environment, and exposure to modern data tools.
- Other info: Opportunity for career growth in a forward-thinking organisation.
- Why this job: Shape the future of data capabilities and make a real impact.
- Qualifications: Hands-on experience with dbt, SQL, and Python in data environments.
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.
Data Engineering Lead | Private Equity Firm | Hybrid | London | TWE45393 employer: twentyAI
Join a forward-thinking private equity firm in London, where you will lead the evolution of our data capabilities within a collaborative and innovative environment. We offer competitive compensation, a commitment to employee growth, and the opportunity to work with cutting-edge data tools that drive impactful decision-making across multiple sectors. Embrace the chance to shape a growing data function while enjoying the benefits of a hybrid work model and an international scope.
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 with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving dbt, SQL, and Python. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data governance and modern cloud platforms, as well as how you’ve collaborated with stakeholders in the past.
✨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 about their job search!
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 speaks directly to the role of Data Engineering Lead. Highlight your experience with dbt, SQL, and Python, and don’t forget to mention any work with cloud-based data platforms. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data engineering and how you can contribute to modernising our data stack. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's designing data models or managing data pipelines, we love seeing real-world examples of your expertise!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
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. Think about how you’ve transitioned from legacy systems to modern architectures and be ready to share examples of how you’ve improved data quality and governance.
✨Communicate Like a Pro
Since this role involves working closely with stakeholders, practice explaining complex data concepts in simple terms. Be prepared to discuss how you’ve managed stakeholder expectations and ensured data is accessible and actionable.
✨Demonstrate Your Leadership Qualities
As a Data Engineering Lead, you’ll need to show that you can lead teams and drive improvements. Think of examples where you’ve taken ownership of projects or mentored others in best practices for data modelling and transformation.
