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- Tasks: Design and build scalable data pipelines and collaborate on impactful solutions.
- Company: Global tech consultancy with a focus on data, AI, and cloud solutions.
- Benefits: Competitive salary, mentoring, paid certifications, and clear career progression.
- Why this job: Gain diverse experience across industries while working with modern tech.
- Qualifications: Experience in data engineering and a passion for problem-solving.
- Other info: Join a collaborative culture with socials and innovation days.
The predicted salary is between 80000 - 100000 £ per year.
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 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 direct or email annie.palmer@wearenumi.com
Senior Data Engineer employer: numi
Contact Detail:
numi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially those in similar roles. 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 GitHub repository showcasing your projects with Databricks, Snowflake, or any relevant tech. This hands-on evidence of your expertise can really set you apart during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your data engineering concepts and problem-solving skills. Use platforms like LeetCode or HackerRank to simulate real interview scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our awesome team!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with tools 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 your curiosity drives you to solve complex problems. This is your chance to show your personality and enthusiasm!
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing real-world applications of your skills, especially if they involve collaboration or innovative solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at numi
✨Know Your Tech Stack
Make sure you’re familiar with 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 might be asked to discuss how you've used these tools in past projects.
✨Showcase Problem-Solving Skills
Prepare examples of complex problems you've solved in your previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical thinking and how you collaborated with others to find solutions.
✨Emphasise Collaboration
Since the role requires working closely with analysts and ML engineers, be ready to discuss your experience in collaborative environments. Share specific instances where teamwork led to successful project outcomes, 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’ll be working on. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.