Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Maintain ETL pipelines and ensure data quality for financial reporting.
- Company: Leading financial services company in the West Midlands.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in finance data management.
- Qualifications: 6+ years of experience in ETL/ELT and advanced SQL skills required.
- Other info: Collaborative environment with cross-functional teams and strong career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
A financial services company in the West Midlands seeks a Senior Data Engineer to support its Financial Data Reporting function. The role involves maintaining ETL pipelines and ensuring data quality across production systems.
Candidates should have:
- Over 6 years of experience
- Strong ETL/ELT expertise
- Advanced SQL skills
This hybrid position requires hands-on experience in troubleshooting data pipelines, ensuring SLA compliance, and working well with cross-functional teams. Understanding of finance data and related tools is also essential.
Senior Data Engineer - Production-Ready Finance (Hybrid) employer: Montash
Contact Detail:
Montash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Production-Ready Finance (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data engineering sectors. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your ETL pipelines and SQL projects. When you get that interview, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers, especially those related to troubleshooting and data quality. We recommend doing mock interviews with friends or using online platforms.
✨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 - Production-Ready Finance (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL pipelines and SQL skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering in finance and how your skills can help us maintain top-notch data quality.
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you’ve troubleshot data pipelines or ensured SLA compliance. We love seeing how you tackle challenges head-on!
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 Montash
✨Know Your ETL Inside Out
Make sure you can discuss your experience with ETL/ELT processes in detail. Be ready to explain how you've maintained and optimised pipelines in previous roles, as well as any challenges you've faced and how you overcame them.
✨Showcase Your SQL Skills
Prepare to demonstrate your advanced SQL skills during the interview. You might be asked to solve a problem on the spot, so brush up on complex queries and be ready to explain your thought process clearly.
✨Understand the Financial Context
Since this role is within financial services, it’s crucial to understand finance data and its implications. Familiarise yourself with common financial metrics and reporting standards to show that you can hit the ground running.
✨Collaboration is Key
Highlight your experience working with cross-functional teams. Be prepared to share examples of how you've collaborated with other departments to ensure data quality and compliance with SLAs, as teamwork will be essential in this role.