At a Glance
- Tasks: Lead the design and build of ETL pipelines for a Risk Data Warehouse.
- Company: Dynamic financial services firm with a focus on innovation.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Join a collaborative environment with excellent career advancement opportunities.
- Why this job: Make a real impact in regulatory data solutions while leading a talented team.
- Qualifications: Strong experience in Data Engineering, especially with DataStage and Oracle.
The predicted salary is between 60000 - 80000 € per year.
Location: Edinburgh, United Kingdom (Flexible hybrid working)
Responsibilities
- Lead the design, build, and validation of ETL pipelines supporting the Risk Data Warehouse.
- Make and document ETL and data flow design decisions, ensuring traceability and regulatory compliance.
- Deliver high‑quality data pipelines supporting Basel 3.1, Murex migration, and credit risk reporting.
- Define and implement data lineage, controls, and validation frameworks.
- Provide hands‑on technical leadership across DataStage and Oracle development.
- Collaborate with risk, trading, and engineering stakeholders to gather and translate requirements into scalable data solutions.
- Act as the primary escalation point for critical RDW incidents, including triage, root cause analysis, and resolution.
- Produce production‑ready artefacts (monitoring, runbooks, failure handling, support documentation).
- Drive continuous improvement through post‑incident reviews and corrective actions.
Qualifications
- Strong experience as a Senior / Lead Data Engineer within banking or financial services.
- Proven background delivering regulatory data solutions (e.g., Basel, credit risk, capital reporting).
- Deep expertise in IBM DataStage and Oracle (PL/SQL, data warehousing).
- Experience working on a Risk Data Warehouse or similar enterprise data platforms.
- Strong understanding of data lineage, governance, and control frameworks.
- Experience integrating risk data flows with trading / risk systems (e.g., Murex or similar).
- Demonstrated ability to operate in hands‑on delivery roles, leading engineering teams and solving complex technical challenges.
Eligibility
To be considered for this role, you must already be eligible to work in the United Kingdom.
Senior Data Engineer in Edinburgh employer: exl
As a leading employer in the financial services sector, we offer a dynamic work environment in Edinburgh that fosters innovation and collaboration. Our flexible hybrid working model supports a healthy work-life balance, while our commitment to employee growth ensures you have access to continuous learning opportunities and career advancement. Join us to be part of a team that values your expertise and encourages you to drive impactful data solutions in a regulatory landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and financial services sector. Attend meetups or webinars related to data engineering, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and any regulatory data solutions you've worked on. This is your chance to demonstrate your expertise in DataStage and Oracle, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Basel 3.1 and Murex migration. Practise explaining complex concepts in simple terms, as you’ll need to collaborate with various stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates. Let’s get you that dream job!
We think you need these skills to ace Senior Data Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with ETL pipelines, DataStage, and Oracle, and don’t forget to mention any regulatory data solutions you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for our team. Talk about your hands-on experience in banking or financial services and how you’ve tackled complex technical challenges. Let us know what excites you about this role!
Showcase Your Achievements:When detailing your past roles, focus on your achievements rather than just responsibilities. Did you improve data flow efficiency or lead a successful project? We love to see quantifiable results that demonstrate your impact in previous positions.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at exl
✨Know Your ETL Inside Out
Make sure you brush up on your ETL pipeline knowledge, especially with DataStage. Be ready to discuss your past experiences in designing and validating ETL processes, and how they align with regulatory requirements like Basel 3.1.
✨Showcase Your Technical Leadership
Prepare examples that highlight your hands-on technical leadership. Think about times when you led a team through complex challenges or delivered high-quality data solutions. This will demonstrate your capability to guide others and tackle tough problems.
✨Understand the Business Context
Familiarise yourself with the banking and financial services landscape, particularly around risk data management. Being able to connect your technical skills to business outcomes will impress interviewers and show that you understand the bigger picture.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data lineage and governance. Practice articulating your thought process clearly, as this will showcase your analytical skills and ability to think on your feet.
