At a Glance
- Tasks: Lead the design and development of a cutting-edge Databricks data platform.
- Company: Join a growing tech company focused on cloud data and AI innovation.
- Benefits: Earn up to £110,000 with hybrid working and leadership opportunities.
- Other info: Work on exciting AI and machine learning projects in a dynamic environment.
- Why this job: Shape the future of data strategy while mentoring a talented team.
- Qualifications: Proven experience in Databricks, Python, SQL, and team leadership.
The predicted salary is between 63000 - 77000 £ per year.
- Lead Data Engineer (Databricks) - London (Hybrid) - Up to £110,000
- Databricks - Apache Spark - Delta Lake - Python - SQL - Azure
We’re partnering with a growing technology business investing heavily in its cloud data platform and AI capabilities.
This is a senior, hands‑on leadership role where you’ll own the architecture and development of a modern Databricks environment, drive engineering best practice, and mentor a team of Data Engineers while shaping the future of the organisation’s data strategy.
The Role
As Lead Data Engineer, you’ll be responsible for
- Leading the design, development and optimisation of a Databricks-based data platform.
- Designing enterprise‑scale Lakehouse architectures across cloud platforms.
- Defining data modelling, governance, security and quality standards.
- Leading and mentoring a team of Data Engineers.
- Collaborating with Data Scientists, Analysts and Product teams to support analytics, machine learning and AI initiatives.
- Driving platform performance, scalability and cloud cost optimisation.
What’s On Offer?
- Hybrid working model.
- Technical ownership of a modern Databricks platform.
- Opportunity to influence architecture, tooling and engineering standards.
- Leadership responsibilities with a growing engineering team.
- Exposure to AI, machine learning and large-scale data initiatives.
- Key Experience Required
- Proven experience as a Senior or Lead Data Engineer.
- Deep expertise in Databricks, Spark, Delta Lake, Python and SQL.
- Experience designing and scaling cloud-based data platforms.
- Strong knowledge of ETL/ELT, data modelling and distributed processing.
- Experience with Azure, AWS or GCP environments.
- Previous team leadership or mentoring experience.
- Strong stakeholder management and communication skills.
- #J-18808-Ljbffr
Lead Data Engineer (Databricks) in London employer: Tenth Revolution Group
Join a leading AI Analytics team in London, where innovation meets opportunity. As a Remote Senior Data Engineer, you'll thrive in a dynamic work culture that prioritises collaboration and growth, backed by a multinational equity firm poised for year-on-year expansion. Enjoy access to cutting-edge technology, professional development opportunities, and the chance to make a significant impact in the rapidly evolving AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer (Databricks) in London
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We think you need these skills to ace Lead Data Engineer (Databricks) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Tenth Revolution Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tenth Revolution Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Tenth Revolution Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tenth Revolution Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
