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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 supports your growth.
- Why this job: Make an impact in data engineering while working with cutting-edge technologies.
- Qualifications: 5+ years in data engineering, strong SQL and Python skills, and cloud platform experience.
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 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a great role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and cloud platforms like Snowflake or Databricks. 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 soft skills. Be ready to discuss your experience with data pipeline architecture and how you've led teams in the past. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Lead Data Engineer
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 is a lead role, don’t forget to highlight your mentoring and leadership experience. Share examples of how you've guided teams or influenced best practices in previous roles. We love seeing candidates who can inspire others!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. Plus, we can’t wait to hear from you!
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 how you've used these tools in past projects.
✨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 be ready to discuss your approach to setting engineering standards and best practices.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Be prepared to explain your experience with CI/CD, data governance, and infrastructure-as-code. Practise articulating complex concepts clearly, as strong communication skills are key.
✨Understand the Business Context
Familiarise yourself with the company’s products and how data plays a role in their success. Think about how you can contribute to their analytics and AI initiatives, and be ready to discuss how your work can support their business goals.