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- Tasks: Design and build robust data infrastructure while collaborating with diverse teams.
- Company: A global tech consultancy empowering businesses with advanced data and AI solutions.
- Benefits: Paid certifications, weekly training, mentoring, and a supportive growth culture.
- Why this job: Make a real impact while experimenting with cutting-edge data technologies.
- Qualifications: Proficiency in Python, Spark, Airflow, and experience with major cloud platforms.
- Other info: Dynamic environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
numi is proud to partner with a growing global technology consultancy seeking multiple Mid/Senior/Principal 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.
If you are driven by curiosity and a desire to make a real impact, this is an excellent opportunity to expand your personal and professional skills across various industries and technologies. 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 ideal candidate enjoys solving complex problems, thinking critically, and is eager to experiment with the latest tools and ideas. 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
- 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
- Experience with one or more major cloud environments—Azure, GCP, or AWS
In return for your skills and dedication, you will receive a comprehensive package designed to support your development and celebrate your success. 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/Principial Data Engineers - Multiple hires. in England employer: numi
Contact Detail:
numi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mid/Senior/Principial Data Engineers - Multiple hires. in England
✨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 land you a referral.
✨Tip Number 2
Show off your skills in real-time! Consider participating in hackathons or contributing to open-source projects. This not only boosts your portfolio but also demonstrates your passion for data engineering.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects. Practising common interview questions can help you feel more confident and articulate.
✨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 Mid/Senior/Principial Data Engineers - Multiple hires. in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Data Engineer. Highlight your experience with Python, Spark, and any cloud platforms you've worked with. 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! Share your passion for data engineering and how you’ve tackled complex problems in the past. Let us know why you're excited about this opportunity and how you can contribute to our team.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! 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.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Don’t miss out!
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 your hands-on experience with data platforms like Snowflake and Databricks. The interviewers will want to see that you can not only talk the talk but also walk the walk when it comes to technical expertise.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex problems you've solved in previous roles. Think about how you designed and built data pipelines or set up data lakes. This is your chance to demonstrate your critical thinking and creativity in tackling challenges.
✨Familiarise Yourself with the Company Culture
Research the consultancy's values and culture. They emphasise continuous learning and collaboration, so be ready to discuss how you thrive in team environments and your commitment to personal development. Mention any relevant experiences that align with their focus on growth and mentorship.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about the types of projects you'll be working on, the tools they use, and how they support employee development. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
