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- Tasks: Design and build robust data infrastructure and pipelines for major projects.
- Company: A global tech consultancy empowering businesses with advanced data solutions.
- Benefits: Competitive salary, paid certifications, mentoring, and a vibrant team culture.
- Why this job: Make a real impact while working with cutting-edge data and cloud technologies.
- Qualifications: Experience in Python, Spark, Airflow, and major cloud platforms like AWS or Azure.
- Other info: Join a dynamic team with excellent growth opportunities and regular socials.
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. 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.
✨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 projects, especially those involving Python, Spark, or any cloud tech. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Expect technical questions that test your knowledge of data pipelines and cloud environments. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Mid/Senior/Principial Data Engineers - Multiple hires.
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your proficiency in Python, Spark, and any cloud technologies you've worked with. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how your curiosity drives you to solve complex problems. Let us know why you're excited about this opportunity and how you can contribute to our projects.
Showcase Your Projects: If you've worked on relevant projects, don't hold back! Include links or descriptions of your work with data pipelines, data lakes, or any tools like dbt and Terraform. We love seeing practical examples of your skills in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any updates. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at numi
✨Know Your Tech Inside Out
Make sure you’re well-versed in the essential tech skills mentioned in the job description, like Python, Spark, and Airflow. Brush up on your experience with data platforms such as Snowflake and Databricks, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex problems you've solved in your previous roles. Think about the challenges you faced, the solutions you implemented, and the impact they had. This consultancy values critical thinking and creativity, so let your curiosity shine!
✨Familiarise Yourself with Their Culture
Research the company’s culture and values, especially their commitment to continuous learning and mentorship. Be ready to discuss how you align with these values and how you can contribute to their supportive environment. It’s all about showing you’re a good fit for their team!
✨Prepare Questions That Matter
Have a list of thoughtful questions ready to ask during the interview. Inquire about the types of projects you might work on, the tools they use, and how they support professional development. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.