At a Glance
- Tasks: Design and build data pipelines using Apache Airflow for trading and analytics.
- Company: A leading B2B energy supplier at the forefront of the UK market.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with real impact on business decisions.
- Why this job: Join a small team where you can own projects and work with modern tech.
- 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 in London employer: Norton Blake
Join a dynamic and innovative B2B energy supplier in London, where you will be part of a small, highly skilled team dedicated to advancing the data platform that drives trading and analytics. With a strong focus on employee growth, you will have the opportunity to take ownership of your work while collaborating with diverse teams and utilising cutting-edge technologies. The hybrid work model promotes a healthy work-life balance, making this an excellent employer for those seeking meaningful and rewarding careers in the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dei Dati 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. By applying directly, you’ll increase your chances of getting noticed by our hiring team and landing that dream job.
We think you need these skills to ace Ingegnere Dei Dati 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 impactful!
Showcase Your Problem-Solving Skills:In your application, mention specific challenges you've faced in data engineering and how you tackled them. We love engineers who can think on their feet and come up with innovative solutions!
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 these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you solved them. Think about examples where you built or maintained data pipelines and be ready to explain your thought process and the impact of your solutions.
✨Collaborate and Communicate
Since the 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 the past and how you can bridge the gap between technical and business needs.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the current challenges they face with their data platform, or how they measure success in this role. This shows your genuine interest and helps you assess if it’s the right fit for you.
