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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-driven solutions.
- Benefits: Long-term contract, competitive pay, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and take ownership of the full data lifecycle.
- Why this job: Make a real impact by transforming data into actionable insights in a dynamic banking environment.
- Qualifications: Strong experience with Python, SQL, Apache Airflow, and data engineering best practices.
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 Slough 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 Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and data engineering sectors. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving 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 interviews by brushing up on your technical skills. Be ready to discuss your experience with ETL/ELT processes and how you've tackled challenges in previous roles. Practice common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Senior Data Engineer in Slough
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 projects, so don’t hold back on the details!
Showcase Your Projects: Include specific examples of data pipelines you've built or maintained. We love seeing hands-on experience, especially in a non-cloud environment, so share those success stories!
Highlight Collaboration Skills: Since you'll be working with cross-functional teams, mention any collaborative projects you've been part of. We value teamwork, so let us know how you’ve translated business needs into technical 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 get you into our system quickly. Plus, it shows you're keen to join our team!
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 will highlight your ability to think critically and adapt to the needs of the bank's data infrastructure.
✨Familiarise Yourself with the Banking Environment
Since this role is in a regulated banking environment, it’s crucial to understand the compliance and risk frameworks involved. Research the specific regulations that might affect data handling and be prepared to discuss how you would ensure compliance in your work.
✨Showcase Your Collaboration Skills
This position involves working with cross-functional teams, so be ready to talk about your experience collaborating with others. Share examples of how you’ve translated business requirements into technical solutions and how you’ve communicated effectively with non-technical stakeholders.