At a Glance
- 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.
- Other info: Join a collaborative culture with socials and innovation days.
- Why this job: Work with modern tech and diverse global clients while solving complex challenges.
- Qualifications: Experience in data engineering and a passion for problem-solving.
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 in City of London employer: numi
Join a leading global tech consultancy in London, where your role as a Senior Data Engineer will not only challenge you with complex problems but also offer a vibrant and collaborative work culture. With access to cutting-edge technologies and a commitment to employee growth through mentoring, certifications, and clear career progression, this is an excellent opportunity for those looking to make a meaningful impact while enjoying a supportive team environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. You never know who might have a lead on that Senior Data Engineer role you’re after.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks, Snowflake, or any other tech mentioned in the job description. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for those interviews! Brush up on your problem-solving skills and be ready to discuss how you've tackled complex challenges in the past. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your experience with modern tech like Databricks, Snowflake, and Python to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you solve complex problems. Share specific examples of your work that demonstrate your curiosity and collaborative spirit.
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 hands-on experience with data pipelines and cloud solutions!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role in the right way!
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 solved in your previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical thinking and creativity in tackling challenges.
✨Emphasise Collaboration
Since the role requires working with analysts and ML engineers, be ready to discuss your experience in collaborative environments. Share stories that demonstrate your ability to work effectively in teams and how you’ve contributed to group success.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects, culture, and future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it’s a great way to engage with your interviewers!
