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- Tasks: Lead and evolve a modern data stack while contributing technically across various data functions.
- Company: Fast-growing, mission-driven platform with strong foundations and clear product-market fit.
- Benefits: Flexible working hours, hybrid work, healthcare, enhanced parental leave, and professional development.
- Other info: Collaborative environment with opportunities for team lunches and socials.
- 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 deep data modelling expertise.
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, LLMsWhat 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 in City of London employer: RevTech
Contact Detail:
RevTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Lead in City of London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨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, especially with tools like BigQuery and dbt.
✨Tip Number 3
Prepare for interviews by practising common data-related questions. Think about how you’d explain your experience with data modelling and AI applications in a clear, engaging way.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who are passionate about data and want to make an impact. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Lead in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Lead role. Highlight your experience with data engineering and analytics, especially your hands-on work with BigQuery, dbt, and Airflow. We want to see how your skills align with our mission-driven platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you envision shaping AI within our data function. Let us know why you're excited about this opportunity and how you can contribute to our collaborative environment.
Showcase Your Leadership Experience: Since we're looking for someone to lead a small data team, make sure to highlight any previous leadership roles. Talk about how you've guided teams in the past and your approach to fostering a pragmatic, ownership-driven culture.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
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, be prepared to share examples of how you've successfully managed teams in the past. Highlight your leadership style and how you foster collaboration and ownership within your team.
✨Demonstrate AI Knowledge
With a focus on AI and LLMs, it’s crucial to show your understanding of how these technologies can enhance data interpretation. Bring examples of how you've used AI tools in your work or any personal projects that demonstrate your interest and expertise.
✨Cultural Fit Matters
This company values a collaborative and pragmatic environment, so be ready to discuss how you align with these values. Share experiences where you’ve worked effectively in a team and contributed to a positive workplace culture.