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- Tasks: Design and maintain robust data infrastructure while building end-to-end data pipelines.
- Company: A global tech consultancy empowering businesses with advanced data and AI solutions.
- Benefits: Comprehensive support, paid certifications, weekly training, and strong mentoring.
- 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 culture with transparent growth, regular socials, and recognition for outstanding contributions.
The predicted salary is between 36000 - 60000 £ per year.
numi is proud to partner with a growing global technology consultancy seeking 5x 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.
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.
15x Senior Data Engineers employer: numi
Contact Detail:
numi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 15x Senior Data Engineers
✨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, and Airflow. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Expect technical questions that challenge your critical thinking, so practice coding problems and data scenarios.
✨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 the initiative to connect directly with us.
We think you need these skills to ace 15x Senior Data Engineers
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Data Engineer. Highlight your experience with Python, Spark, and Airflow, and don’t forget to mention any major data platforms you’ve worked with like Snowflake or Databricks.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for data engineering and how your skills align with the consultancy's mission. Show us why you're the perfect fit for this exciting opportunity!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's building data pipelines or setting up data lakes, we want to see how you've made an impact in your previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you one step closer to joining our amazing 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 like Snowflake and Databricks, as you might be asked to discuss specific projects where you've used these tools.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of complex problems you've solved in previous roles. Think about how you approached the problem, the tools you used, and the impact of your solution. This consultancy values critical thinking, so don’t hold back!
✨Familiarise Yourself with the Company Culture
Research the company’s commitment to continuous learning and mentorship. Be ready to discuss how you can contribute to this culture and what you hope to gain from it. Showing that you align with their values can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and the types of projects you might work on. This not only shows your interest but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!
