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- Tasks: Design and maintain robust data infrastructure while collaborating with analysts and engineers.
- Company: A global tech consultancy empowering businesses with advanced data and AI solutions.
- Benefits: Paid certifications, weekly training, and a strong mentoring programme.
- Why this job: Join a dynamic team and accelerate your career with cutting-edge technologies.
- Qualifications: Proficiency in Python, Spark, and experience with major cloud platforms.
- Other info: Transparent growth culture with regular feedback and team socials.
The predicted salary is between 36000 - 60000 £ per year.
numi is proud to partner with a growing global technology consultancy seeking 5 Senior Data Engineers to join their team in London on a hybrid basis. This consultancy empowers some of the world's biggest businesses by delivering advanced data, AI, cloud, and digital solutions. They are committed to providing a platform for talented technologists to accelerate their careers through diverse projects, continuous learning, and robust support from senior consultants.
As the Data Engineer, you will be the core builder responsible for designing, constructing, and maintaining robust and reliable data infrastructure. Your key focus will be on ensuring clean, scalable, and secure data flow. Day-to-day responsibilities include:
- Designing and building end-to-end data pipelines for ingestion, transformation, and loading
- Setting up efficient data lakes and warehouses
- Collaborating closely with analysts, ML engineers, and platform teams
The role demands hands-on experience with cutting-edge data and cloud technologies. You will be utilising and playing with tools across the entire data ecosystem.
Essential tech skills include proficiency in Python, Spark, and Airflow, alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery. Familiarity with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. Experience with one or more major cloud environments—Azure, GCP, or AWS—is also expected.
This includes serious learning support via paid certifications across all major technologies, weekly training, and a strong mentoring program with a dedicated Senior Support Lead. The company fosters a culture of transparent growth with annual 360° feedback reviews, regular team socials, and recognition programs to celebrate outstanding impact.
Apply below - interviews are taking place ASAP.
Mid-Senior Level Data Engineer in City of London employer: numi
Contact Detail:
numi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mid-Senior Level Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Python, Spark, or Airflow. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of data pipelines and cloud environments like Azure or AWS. Practising common interview questions can boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Mid-Senior Level Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, Spark, and Airflow, and don’t forget to mention any cloud platforms you’ve worked with like Azure, GCP, or AWS. We want to see how your skills align with 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 ability to design and maintain data infrastructure.
Showcase Your Projects: If you’ve worked on any cool data projects, make sure to include them in your application. Whether it’s building data pipelines or setting up data lakes, we love seeing real-world examples of your work. It helps us understand your hands-on experience with the tools we use!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, you’ll find all the info you need about the role right there!
How to prepare for a job interview at numi
✨Know Your Tech Inside Out
Make sure you brush up on your skills with Python, Spark, and Airflow. Be ready to discuss how you've used these technologies in past projects, and think of specific examples that showcase your expertise. The more confident you are in your technical knowledge, the better you'll impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in data engineering and how you overcame them. This consultancy values hands-on experience, so share stories about designing data pipelines or setting up data lakes. Highlight your thought process and the impact of your solutions.
✨Familiarise Yourself with Their Tools
Since the role involves tools like Snowflake, Databricks, and BigQuery, do a bit of homework on these platforms. If you have experience with dbt, Fivetran, or Terraform, be sure to mention it. Showing that you understand their tech stack will demonstrate your readiness for the role.
✨Embrace the Culture of Learning
This company is all about continuous learning and growth. Be prepared to discuss how you keep your skills sharp and your willingness to pursue certifications. Mention any relevant training you've done or plan to do, as this aligns perfectly with their commitment to professional development.
