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- Tasks: Design and maintain a scalable data warehouse for a Challenger Bank using modern engineering practices.
- Company: Join a forward-thinking Challenger Bank focused on innovation and data solutions.
- Benefits: Long-term contract, competitive pay, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and work within a regulated framework for data management.
- Why this job: Make a real impact by transforming data into actionable insights in a dynamic banking environment.
- Qualifications: Strong experience with Python, Apache Airflow, dbt, and SQL required.
The predicted salary is between 60000 - 80000 £ per year.
We are recruiting a Senior Data Engineer on a long-term contract basis for a Challenger Bank, responsible for designing, building and maintaining a scalable on-premise data warehouse using modern data engineering practices. This role sits in a non-cloud environment and requires strong ownership of infrastructure-focused data solutions, delivering robust end-to-end ETL/ELT pipelines and curated data models to support analytics and reporting.
This position requires strong hands-on experience with Python, Apache Airflow and dbt as essential skills, as these will be central to building, orchestrating and transforming the bank’s data pipelines. You will use Python and SQL to develop ETL/ELT processes, Apache Airflow to design and manage workflow orchestration and scheduling, and dbt to build scalable transformation layers, data models and testing frameworks (including medallion architecture where applicable).
Strong experience working in Unix/Linux environments is also key for scripting, deployment and operational support. In addition, you will work with advanced SQL (T-SQL/PL-SQL) and the Microsoft BI stack (SSIS, SSRS, SSAS), supporting data warehousing, reporting and analytics capabilities. The role also involves CI/CD practices, test automation, and exposure to containerisation tools such as Docker.
You will collaborate with cross-functional teams to translate business requirements into technical solutions and deliver reliable data products and visualisations using tools such as Power BI, Tableau or Qlik. This is a long-term contract opportunity for a hands-on Data Engineer who is comfortable working in an on-premise banking environment, taking ownership of the full data lifecycle from ingestion through to analytics-ready datasets while operating within a regulated risk and compliance framework.
Senior Data Engineer in London employer: Morson Edge (Technology)
Contact Detail:
Morson Edge (Technology) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work in banking. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, Apache Airflow, and dbt. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and ETL/ELT processes. Practise common interview questions and coding challenges to demonstrate your hands-on experience effectively.
✨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 are proactive about their job search.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Apache Airflow, and dbt. We want to see how you've used these tools in real-world scenarios, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this Senior Data Engineer role. Share specific examples of your work in data engineering and how you’ve tackled challenges in a non-cloud environment.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We love seeing hands-on experience, especially with ETL/ELT processes and data warehousing. Include links or descriptions that demonstrate your skills.
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 this exciting opportunity at the Challenger Bank!
How to prepare for a job interview at Morson Edge (Technology)
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Python, Apache Airflow, and dbt. Brush up on your ETL/ELT processes and be ready to discuss how you've used these tools in past projects. Being able to share specific examples will show your hands-on experience and understanding of the technologies.
✨Demonstrate Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about common data engineering problems you've faced and how you solved them. This is your chance to showcase your analytical thinking and ability to deliver robust data solutions.
✨Familiarise Yourself with the Banking Environment
Since this role is in a regulated banking environment, it’s crucial to understand the compliance frameworks and risk management practices. Research the bank's operations and be ready to discuss how you can contribute to maintaining data integrity and security.
✨Showcase Your Collaboration Skills
This position involves working with cross-functional teams, so be prepared to talk about your experience collaborating with others. Highlight any instances where you translated business requirements into technical solutions, as this will demonstrate your ability to bridge the gap between tech and business needs.