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- Tasks: Lead the design of a modern cloud data platform and mentor a team of Data Engineers.
- Company: Exciting tech-led organisation in London with a focus on innovation.
- Benefits: Competitive salary up to £75k, hybrid working, and career development opportunities.
- Other info: Join a diverse team that values equal opportunities and personal growth.
- Why this job: Make an impact in analytics and AI while leading a talented team.
- Qualifications: 5+ years in data engineering, strong SQL and Python skills required.
The predicted salary is between 75000 - 75000 £ per year.
An exciting technology‑led organisation in London is looking for a Lead Data Engineer to join their growing platform team as they continue to build out their data and analytics capability.
Based in: London
Hybrid working: 1-2 days a week in the office
Permanent role
Start date: ASAP
Salary: Up to £75k per annum
The Job
- Leading the design and delivery of a modern cloud data platform supporting analytics, AI and client‑facing data products
- Owning data pipeline architecture across ingestion, transformation and data product layers
- Setting and maintaining data engineering standards, patterns and best practices across squads
- Mentoring and leading a small team of Data Engineers and working closely with Analytics Engineers and Data Scientists
- Remaining hands‑on with complex technical delivery, architecture decisions and code reviews
- Defining CI/CD, testing, observability and infrastructure‑as‑code standards for data pipelines
- Ensuring strong data governance, security controls and compliance across all datasets
- Partnering with Product and commercial teams on data initiatives and client data onboarding
- Supporting analytics, BI and AI/ML use cases with well‑structured, documented and reliable data models
You
- 5+ years' experience in data engineering or data platform roles
- Strong hands‑on experience with SQL, Python and distributed data processing
- Proven experience building and operating modern cloud data platforms
- Experience with technologies such as Snowflake, Databricks and Power BI
- Strong understanding of CI/CD, infrastructure‑as‑code and data quality practices
- Solid knowledge of data security, access controls and governance
- Comfortable operating as a hands‑on technical leader, mentoring others and influencing standards
- Strong stakeholder communication skills
Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law.
If you require any adjustments or additional support during the recruitment process for any reason whatsoever, please let us know.
Lead Data Engineer in London employer: Sphere Digital Recruitment
Contact Detail:
Sphere Digital Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and cloud data platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss your experience with tools like Snowflake and Databricks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with SQL, Python, and cloud data platforms like Snowflake or Databricks. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Leadership Skills: Since this role involves mentoring and leading a small team, make sure to highlight any leadership experiences you've had. We love seeing examples of how you've influenced standards or guided others in their work.
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. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Sphere Digital Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like SQL, Python, Snowflake, and Databricks. Brush up on your knowledge of cloud data platforms and be ready to discuss your hands-on experience with them.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to mentor and lead a team. Prepare examples of how you've successfully guided others in previous roles and how you’ve influenced engineering standards.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Be ready to explain your approach to building data pipelines, CI/CD processes, and data governance. Practise articulating your thought process clearly and confidently.
✨Engage with Stakeholders
Strong communication skills are key for this role. Think about how you’ve collaborated with product and commercial teams in the past. Be prepared to share specific examples of how you’ve partnered on data initiatives and client onboarding.