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- Tasks: Lead data quality and governance while shaping AI's role in data interpretation.
- Company: Fast-growing, mission-driven platform with a strong foundation.
- Benefits: Up to £120,000 salary, flexible working hours, and professional development opportunities.
- Other info: Work with cutting-edge tools like BigQuery, dbt Core, and Python.
- Why this job: Join a collaborative team and pave your way to Data Director.
- Qualifications: 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, LLMs
- Strong commercial experience in data engineering/analytics engineering roles
- Proven experience leading a small data team
- Deep data modelling expertise
- Exposure to AI/LLM tooling (commercial or personal) and an interest in how it can be applied to data interpretation
Flexible working hours
Hybrid working
Flexible Bens Scheme
Professional Development
Data Quality and Governance Lead in City of London employer: RevTech
Contact Detail:
RevTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality and Governance Lead in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Data Quality and Governance Lead role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving BigQuery, dbt Core, or AI tools. This will give potential employers a taste of what you can bring to their team.
✨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 in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us evolve our data stack. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Quality and Governance Lead in City of London
Some tips for your application 🫡
Show Your Data Passion: When you're writing your application, let your enthusiasm for data shine through! We want to see how your experience aligns with our mission and how you can contribute to evolving our data stack.
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience in data engineering and analytics, especially any leadership roles you've had. We love seeing how you've made an impact in previous positions!
Be Specific About Your Skills: Don’t just list your skills; give us examples of how you've used them. If you've worked with BigQuery, dbt Core, or AI tools, tell us about a project where you applied these technologies. We want to know what you can bring to the table!
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 don’t miss out on any important updates from us during the process!
How to prepare for a job interview at RevTech
✨Know Your Data Stack
Make sure you’re familiar with the tools mentioned in the job description, like BigQuery, dbt Core, and Airflow. Brush up on your technical skills and be ready to discuss how you've used these technologies in past roles.
✨Showcase Leadership Experience
Since this role involves leading a small data team, prepare examples of how you've successfully managed teams before. Highlight your leadership style and how you foster collaboration and ownership within your team.
✨Embrace AI Discussions
Given the focus on AI and LLMs, be prepared to talk about your experience with these technologies. Share insights on how you think AI can enhance data interpretation and any projects where you've applied AI tools.
✨Align with Company Values
Research the company’s mission and values. Be ready to explain how your personal values align with theirs and how you can contribute to their mission-driven approach in the data space.