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- Tasks: Design and build data pipelines using Apache Airflow and Python for trading analytics.
- Company: A leading B2B energy supplier at the forefront of the UK energy market.
- Benefits: Hybrid working, competitive salary, and the chance to influence data architecture.
- Why this job: Join a small team and make a real impact in a data-driven trading environment.
- Qualifications: Experience in data engineering, strong Python and SQL skills, and familiarity with Apache Airflow.
- Other info: Opportunity to work with modern technologies and shape the future of data infrastructure.
The predicted salary is between 36000 - 60000 £ 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
- Improving data quality, monitoring and pipeline reliability
- Helping shape the future architecture of the data platform
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
Why This Role
- Work in a data-driven trading environment
- Join a small team where you can influence architecture
- Build modern data infrastructure from the ground up
- Exposure to energy trading data and real-time market information
Experience: Typically 2–5 years in Data Engineering or similar roles.
Data Engineer SQL - Hybrid Working in London employer: Norton Blake
Contact Detail:
Norton Blake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer SQL - Hybrid Working in London
✨Tip Number 1
Network like a pro! Reach out to people in the energy trading sector or data engineering roles on LinkedIn. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got experience with Apache Airflow, Python, or SQL, consider building a small project or contributing to an open-source one. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your data pipeline knowledge and be ready to discuss how you've tackled challenges in past projects. We want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team and contributing to their exciting projects.
We think you need these skills to ace Data Engineer SQL - Hybrid Working 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 align with the role, 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 this Data Engineer position and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've tackled in data engineering. We’re looking for someone who enjoys solving problems, so share examples that demonstrate your analytical thinking and creativity.
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
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 be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in data engineering and how you solved them. This role requires someone who enjoys tackling infrastructure challenges, so highlight your analytical thinking and creativity in overcoming obstacles.
✨Collaborate Like a Pro
Since this position involves working closely with analysts and trading teams, be ready to discuss your experience collaborating with different stakeholders. Share specific instances where your teamwork led to successful outcomes, demonstrating your ability to bridge technical and business needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data platform and future architecture. This shows your genuine interest in the role and helps you understand how you can contribute to their goals. It’s also a great way to assess if the company culture aligns with your values.