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- Tasks: Design and build scalable data pipelines and collaborate on impactful solutions.
- Company: Join a global tech consultancy with a focus on data, AI, and cloud solutions.
- Benefits: Enjoy mentoring, hackathons, paid certifications, and clear career progression.
- Why this job: Work with modern tech and diverse global clients while solving complex challenges.
- Qualifications: Experience in data engineering and a passion for collaboration and problem-solving.
- Other info: Dynamic culture with socials and innovation days to foster creativity.
The predicted salary is between 48000 - 84000 £ per year.
Location: London / Hybrid
Looking to take your data engineering career to the next level? I’m partnering with a global tech consultancy that helps major enterprises deliver data, AI and cloud solutions. They’re growing their London team and want Senior and Lead Data Engineers who are curious, collaborative and love solving complex problems.
What’s in it for you:
- Work across industries and global clients, gaining diverse experience
- Hands‑on with modern tech: Databricks, Snowflake, Azure, GCP, AWS, Python, Spark, Airflow
- Mentoring, guilds, hackathons and paid certifications to accelerate your growth
- Clear career progression with 360° feedback and recognition programs
- Collaborative culture with socials, team building, and innovation days
What you’ll do:
- Design and build scalable data pipelines, lakes, and warehouses
- Ensure systems are reliable, secure and cost‑efficient
- Partner with analysts, ML engineers and platform teams to deliver impactful solutions
Who will thrive:
- Problem solvers who enjoy tackling complex challenges
- Curious minds eager to experiment and learn
- People who balance independence with strong collaboration
If this sounds like you, apply directly or email annie.palmer@wearenumi.com
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Benefits: Referrals increase your chances of interviewing at numi by 2x
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Lead Data Engineer employer: numi
Contact Detail:
numi 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 current employees at numi on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with tools like Databricks, Snowflake, or Python. This will help you stand out during interviews and showcase your problem-solving abilities.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on data engineering concepts and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at numi.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your experience with tech like Databricks, Snowflake, and Python, as these are key to what we’re looking for.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering and how you’ve tackled complex problems in the past. This is your chance to show off your personality and enthusiasm!
Showcase Your Projects: If you’ve worked on any relevant projects, don’t hesitate to mention them! Whether it’s building data pipelines or collaborating with teams, real examples can make your application stand out.
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 don’t miss out on any updates from our team!
How to prepare for a job interview at numi
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Databricks, Snowflake, and Python. Brush up on your knowledge of data pipelines and cloud solutions, as you’ll likely be asked to discuss how you’ve used these tools in past projects.
✨Showcase Problem-Solving Skills
Prepare to share specific examples of complex problems you've tackled in your previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical thinking and collaborative approach.
✨Emphasise Collaboration
Since the role requires working with analysts and ML engineers, be ready to discuss how you’ve successfully collaborated in the past. Share experiences where teamwork led to impactful solutions, showcasing your ability to balance independence with collaboration.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s culture, the team dynamics, and the types of projects you might work on. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
