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- Tasks: Design and build AWS-driven data pipelines while mentoring junior engineers.
- Company: Leading financial technology firm reshaping digital financial services.
- Benefits: Discretionary bonus, health insurance, and continuous training options.
- Other info: Hybrid role based in Glasgow or Edinburgh with a collaborative team.
- Why this job: Collaborate with Tier 1 clients and drive innovation in data engineering.
- Qualifications: Strong AWS, Python, and Big Data skills required.
The predicted salary is between 60000 - 80000 £ per year.
A leading financial technology firm is seeking a Senior Data Engineer to design and build AWS-driven data pipelines. You will collaborate with Tier 1 financial clients and mentor junior engineers, driving innovation in data engineering. Ideal candidates have strong AWS, Python, and Big Data skills.
The role is hybrid, based in Glasgow or Edinburgh, offering robust benefits including a discretionary bonus, health insurance, and continuous training options. Join a collaborative team reshaping digital financial services.
Senior Data Engineer - AWS & Data Lakehouse employer: Capco
Contact Detail:
Capco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - AWS & Data Lakehouse
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial tech space, especially those who work with AWS and data engineering. 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 AWS projects, data pipelines, and any Big Data solutions you've built. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled challenges in previous roles, especially around mentoring junior engineers and collaborating with clients.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application super easy for us!
We think you need these skills to ace Senior Data Engineer - AWS & Data Lakehouse
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your AWS, Python, and Big Data skills. We want to see how your experience aligns with the role of a Senior Data Engineer, 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 excited about working with us and how you can contribute to our mission in reshaping digital financial services.
Showcase Your Collaboration Skills: Since this role involves mentoring junior engineers and collaborating with Tier 1 clients, make sure to include examples of teamwork and leadership in your application. We love seeing how you’ve driven innovation in past roles!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Capco
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Be ready to discuss specific services like S3, Redshift, and Glue, and how you've used them in past projects. This will show that you're not just familiar with AWS, but that you can leverage it effectively in a data engineering context.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise, especially in relation to data manipulation and pipeline creation. You might be asked to solve a coding challenge or explain your approach to a previous project. Practising common data engineering tasks in Python will help you feel more confident.
✨Highlight Your Big Data Experience
Be ready to discuss your experience with Big Data technologies. Whether it's Hadoop, Spark, or any other tools, have examples ready that illustrate how you've tackled large datasets and optimised performance. This will show that you understand the complexities of working with big data.
✨Emphasise Collaboration and Mentorship
Since the role involves mentoring junior engineers, be prepared to talk about your leadership style and experiences. Share examples of how you've supported team members in the past and how you foster a collaborative environment. This will demonstrate that you're not just a technical expert, but also a team player.