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- Tasks: Design and manage production-grade data pipelines for analytics and insights.
- Company: Leading FinTech company based in Edinburgh with a focus on innovation.
- Benefits: 33 days of holiday, flexible remote work, and competitive benefits.
- Why this job: Drive data innovation in a fast-paced environment and make a real impact.
- Qualifications: Expertise in SQL and AWS services like S3 and Glue.
- Other info: Ideal for those looking to grow in a dynamic and supportive setting.
The predicted salary is between 48000 - 72000 £ per year.
A leading FinTech company based in Edinburgh is seeking a Data Engineer to design and manage production-grade data pipelines. This role focuses on building an efficient data architecture to support analytics and customer insights, requiring expertise in SQL and AWS services like S3 and Glue.
The position offers competitive benefits, including 33 days of holiday and flexible remote work options, ideal for someone looking to drive data innovation in a fast-paced environment.
Senior Data Platform Engineer – Remote (FinTech) employer: Br-dge
Contact Detail:
Br-dge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Engineer – Remote (FinTech)
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech space, especially those who work with data. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and architecture projects. This is your chance to demonstrate your expertise in SQL and AWS services like S3 and Glue.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising how you’d explain your approach to building efficient data architectures and handling analytics.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Senior Data Platform Engineer – Remote (FinTech)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and AWS services like S3 and Glue. We want to see how your skills align with the role, so don’t be shy about showcasing your data pipeline projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our mission in the FinTech space. Keep it engaging and relevant to the job description.
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled challenges in building data architectures or optimising data workflows. We love seeing innovative solutions that drive data insights!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Br-dge
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with AWS services like S3 and Glue. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the technologies they'll expect you to work with.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewers to see your thought process and problem-solving abilities.
✨Understand the Company’s Vision
Research the FinTech company and understand their mission and values. Be ready to explain how your skills and experiences align with their goals, especially in driving data innovation. This shows that you're not just looking for any job, but that you're genuinely interested in contributing to their success.
✨Prepare Questions to Ask
Interviews are a two-way street, so think of insightful questions to ask your interviewers. Inquire about their current data architecture challenges or how they envision the role evolving. This demonstrates your enthusiasm for the position and helps you gauge if the company is the right fit for you.