Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead and evolve a modern data stack while contributing technically across various data functions.
- Company: Fast-growing, mission-driven platform with a collaborative and ownership-driven culture.
- Benefits: Flexible working hours, hybrid work, healthcare, and professional development opportunities.
- Other info: Join a dynamic team with regular socials and a clear path for growth.
- Why this job: Shape the future of data and AI while advancing your career towards Data Director.
- Qualifications: Strong experience in data engineering, team leadership, and hands-on skills with BigQuery and Airflow.
The predicted salary is between 120000 - 120000 £ per year.
You’ll play a key role in evolving a modern data stack into a scalable, business-aligned function within a fast-growing, mission-driven platform with strong foundations and clear product–market fit. You’ll operate as a hands-on data leader, owning strategy while still contributing technically across modelling, orchestration, ingestion and BI. This is a critical hire, you will also explore and shape how AI sits within Data, helping users interpret data more responsibly, not just faster. The environment is collaborative, pragmatic and ownership-driven, with a clear path toward Data Director as the function formalises.
Stack: BigQuery, dbt Core, Airflow, Airbyte, Python, LLMs
What do you need?
- Strong commercial experience in data engineering/analytics engineering roles
- Proven experience leading a small data team
- Deep data modelling expertise
- Hands-on experience with BigQuery, dbt and Airflow
- Exposure to AI/LLM tooling (commercial or personal) and an interest in how it can be applied to data interpretation
What do you get?
- Flexible working hours
- Hybrid working
- Healthcare
- Enhanced Maternity/Paternity
- Flexible Bens Scheme
- Team Lunches
- Team Socials
- Professional Development
Please apply to know more!
Data Lead employer: RevTech
Contact Detail:
RevTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the hunt for a Data Lead role. You never know who might have the inside scoop on an opportunity or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving BigQuery, dbt, and Airflow. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've led teams and tackled data challenges, as well as your thoughts on AI's role in data interpretation.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our mission-driven platform. Plus, it makes it easier for us to keep track of your application!
We think you need these skills to ace Data Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Lead role. Highlight your hands-on experience with BigQuery, dbt, and Airflow, as well as any leadership roles you've had in data teams.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how you can contribute to our mission-driven platform. Mention your interest in AI and how you see it shaping data interpretation.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! We want to see your deep data modelling knowledge and any projects where you've used LLMs or other AI tools. This is your chance to shine!
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 this exciting opportunity to join our collaborative team.
How to prepare for a job interview at RevTech
✨Know Your Data Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like BigQuery, dbt, and Airflow. Brush up on your hands-on experience with these tools, as you might be asked to discuss specific projects or challenges you've faced using them.
✨Showcase Leadership Experience
Since this role involves leading a small data team, prepare examples that highlight your leadership skills. Think about times when you’ve successfully guided a team through a project or resolved conflicts, and be ready to share those stories.
✨Embrace AI Discussions
Given the focus on AI and LLMs, be prepared to discuss how you see AI impacting data interpretation. Have some ideas ready on how you could integrate AI into the data processes and how it can enhance user experience.
✨Cultural Fit Matters
This company values collaboration and ownership, so think about how you can demonstrate these traits. Prepare to discuss how you’ve contributed to a team environment in the past and how you take ownership of your work.