At a Glance
- 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, hybrid working, and opportunities for professional growth.
- Other info: Join a diverse team that values equal opportunities and collaboration.
- 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 our growing platform team as we continue to build out our data and analytics capability.
Based in: London
Hybrid working: 1‑2 days a week in the office
Permanent role
Salary: Up to £75k per annum
Start date: ASAP
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.
Lead Data Engineer employer: Sphere Digital Recruitment Group
Join a dynamic technology-led organisation in London that prioritises innovation and employee growth. As a Lead Data Engineer, you'll benefit from a hybrid working model, competitive salary, and a collaborative work culture that fosters mentorship and professional development. With a focus on cutting-edge data solutions, this role offers the chance to make a significant impact while enjoying a supportive environment that values diversity and inclusion.
Contact Detail:
Sphere Digital Recruitment Group 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 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 bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts clearly, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from passionate candidates like you. Plus, it makes it easier for us to track your application and get back to you quickly.
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 platforms like Snowflake and 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. Don’t forget to mention your leadership experience and mentoring skills.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to build and operate data platforms.
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’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Sphere Digital Recruitment Group
✨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 data pipeline architecture, CI/CD processes, and data governance. 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 partner with product and commercial teams to enhance data initiatives. Showing that you understand the business side will set you apart from other candidates.
