At a Glance
- Tasks: Design and build data pipelines using Apache Airflow for trading and analytics.
- Company: Dynamic B2B energy supplier leading the UK market.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with modern tech stack and career advancement potential.
- Why this job: Join a small team and take ownership of impactful data projects.
- Qualifications: Experience in data engineering, strong Python and SQL skills required.
The predicted salary is between 50000 - 65000 £ per year.
A growing B2B energy supplier operating at the forefront of the UK energy market is investing heavily in its data platform and engineering capability as the business continues to scale its trading operations.
They are looking for a Data Engineer with strong Apache Airflow experience to help design and build the pipelines that power trading, analytics and commercial decision-making. This is a great opportunity to join a small, highly experienced team where engineers have real ownership of the data platform and the opportunity to work with modern open-source technologies.
What You’ll Be Doing
- Designing and building data pipelines orchestrated with Apache Airflow
- Developing ETL/ELT workflows in Python and SQL to process trading and operational data
- Building reliable, scalable data infrastructure to support analytics and business insight
- Collaborating with analysts, product teams and trading teams to deliver high-value datasets
Tech Stack - You don’t need everything here, but experience with some of the following is expected:
- Apache Airflow (core focus)
- Python
- SQL
- Apache Spark or Kafka
- PostgreSQL or similar relational databases
- Docker or containerised environments
- Git and CI/CD workflows
- Data modelling and data warehousing concepts
What They’re Looking For
- Experience building and maintaining data pipelines in production
- Strong Python and SQL skills
- Hands-on experience with Apache Airflow
- Someone who enjoys solving data engineering and infrastructure challenges
- A collaborative engineer comfortable working with both technical and business stakeholders
Experience: Typically 2–5 years in Data Engineering or similar roles.
Ingegnere dei dati (f/m) in London employer: Norton Blake
Join a dynamic and innovative B2B energy supplier in London, where you will be part of a small, expert team dedicated to advancing the data platform that drives trading and analytics. With a strong emphasis on employee ownership and collaboration, this role offers significant opportunities for professional growth while working with cutting-edge technologies in a hybrid work environment. Enjoy a supportive culture that values your contributions and fosters continuous learning in the rapidly evolving energy market.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, ETL workflows, or any projects you've worked on. This gives you a chance to demonstrate your expertise in Apache Airflow, Python, and SQL beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with data infrastructure and how you've tackled challenges in previous roles. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people in our team.
We think you need these skills to ace Ingegnere dei dati (f/m) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Apache Airflow, Python, and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a great fit for our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects:If you've worked on any data pipelines or ETL workflows, make sure to mention them in your application. We’re keen to see real-world examples of your work, especially if they involved collaboration with other teams.
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 important updates from our team!
How to prepare for a job interview at Norton Blake
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Apache Airflow, Python, and SQL. Brush up on your knowledge of data pipelines and ETL/ELT workflows, as you might be asked to discuss your experience with these tools during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data engineering challenges in the past. Think about times when you built or maintained data pipelines and be ready to explain your thought process and the impact of your solutions.
✨Collaborate and Communicate
Since this role involves working with analysts and product teams, practice articulating your ideas clearly. Be prepared to discuss how you’ve collaborated with non-technical stakeholders in previous roles, as this will demonstrate your ability to bridge the gap between technical and business needs.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data projects, the team dynamics, or how they measure success in their data engineering efforts. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
