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- Tasks: Design and implement cloud data warehouses and build data quality frameworks.
- Company: Leading financial tech company in the UK with a focus on innovation.
- Benefits: Competitive pay, flexible working arrangements, and opportunities for professional growth.
- Why this job: Take ownership of impactful projects and collaborate with key business stakeholders.
- Qualifications: 4+ years in data engineering, strong SQL skills, and financial markets knowledge.
- Other info: Join a dynamic team and make a real difference in financial data handling.
The predicted salary is between 43200 - 72000 £ per year.
A financial tech company in the United Kingdom is seeking a Senior Data Engineer to modernise financial and actuarial data handling. In this hands-on contract role, you will design and implement cloud data warehouse schemas and build data quality frameworks.
The ideal candidate has over 4 years of experience in data engineering, strong SQL skills, and a background in financial markets. This is a high-impact role offering real ownership and collaboration with business stakeholders.
Senior Data Engineer — Financial Data Pipelines & Dashboards employer: thegolangguy
Contact Detail:
thegolangguy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Financial Data Pipelines & Dashboards
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial tech space and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those related to data pipelines and dashboards. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and cloud data warehouse knowledge. We recommend practising common interview questions and scenarios that relate to financial data handling to really impress the hiring managers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer — Financial Data Pipelines & Dashboards
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with financial data. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL prowess and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about modernising financial data handling and how your background fits the bill. We love seeing genuine enthusiasm for the role and the company.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in data engineering. We’re looking for someone who can design and implement effective solutions, so share those success stories with us!
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. Don’t miss out on the chance to join our team!
How to prepare for a job interview at thegolangguy
✨Know Your Data Engineering Stuff
Make sure you brush up on your SQL skills and be ready to discuss your experience with cloud data warehouses. Prepare to explain how you've designed schemas in the past and any data quality frameworks you've implemented. This role is all about hands-on experience, so be ready to showcase your technical know-how.
✨Understand Financial Markets
Since this position is in a financial tech company, it’s crucial to have a solid understanding of financial markets. Familiarise yourself with key concepts and trends in the industry. Being able to speak the language of finance will show that you’re not just a techie but also someone who understands the business context.
✨Prepare for Collaboration Questions
This role involves working closely with business stakeholders, so expect questions about teamwork and collaboration. Think of examples where you’ve successfully worked with non-technical teams to deliver data solutions. Highlight your communication skills and how you bridge the gap between tech and business.
✨Show Ownership and Initiative
The job description mentions real ownership, so be prepared to discuss times when you took the lead on projects. Share specific examples of how you identified problems, proposed solutions, and drove initiatives forward. This will demonstrate your proactive approach and readiness to take charge in a high-impact role.
