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- Tasks: Build resilient data pipelines and transform raw data into valuable insights.
- Company: Join a dynamic team in the Financial Services/Capital Markets industry.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Be part of a newly formed group focused on innovative data solutions.
- Why this job: Make an impact by working on complex projects with diverse datasets.
- Qualifications: Experience in Azure and data engineering skills are essential.
The predicted salary is between 50000 - 70000 £ per year.
We are seeking highly skilled and experienced Azure Data Engineers to join a newly formed group concentrating on Data. Within this role you will be a key member of the team, working on a complex and challenging project within the Financial Services/Capital Markets industry.
The primary focus of the role would be on building resilient, reusable Data Pipelines to extract, load, and transform raw data into a relational data model. The successful candidate will work across complex, multi-source datasets including loan servicing systems, property and valuation platforms, collections systems, and third-party data providers, delivering reliable and auditable data at scale.
Department: IT
Data Engineer employer: Arrow Global Group
Contact Detail:
Arrow Global Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the Financial Services and Capital Markets sectors. Attend meetups, webinars, or even just connect on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. Use platforms like GitHub to share your work. This gives potential employers a taste of what you can do with complex datasets.
✨Tip Number 3
Prepare for technical interviews! Brush up on your Azure skills and be ready to discuss how you've tackled challenges in building resilient data pipelines. Practice common interview questions and scenarios related to data engineering.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly shows your enthusiasm and commitment to joining our team. Don’t miss out on the chance to be part of something great!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and data engineering. We want to see how your skills align with building resilient data pipelines and working with complex datasets, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background in financial services or capital markets makes you a perfect fit for our team.
Showcase Relevant Projects: If you've worked on similar projects, let us know! Include specific examples of how you've built data pipelines or handled multi-source datasets. This will help us see your hands-on experience in action.
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 with StudySmarter!
How to prepare for a job interview at Arrow Global Group
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience with building data pipelines. Be ready to discuss specific projects where you've extracted, loaded, and transformed data, especially in Azure. Highlight any challenges you faced and how you overcame them.
✨Understand the Financial Services Landscape
Familiarise yourself with the Financial Services and Capital Markets industry. Brush up on key concepts, trends, and regulations that might impact data engineering in this sector. This will show your potential employer that you're not just a tech whiz but also understand the business context.
✨Prepare for Technical Questions
Expect technical questions related to Azure services, data modelling, and multi-source datasets. Review common data engineering problems and be prepared to solve them on the spot. Practising coding challenges or whiteboard exercises can really help you feel more at ease.
✨Showcase Your Teamwork Skills
Since you'll be part of a newly formed group, emphasise your ability to work collaboratively. Share examples of how you've successfully worked in teams, particularly in complex projects. Highlight your communication skills and how you ensure everyone is on the same page.