At a Glance
- Tasks: Design and build cloud-based data pipelines for top financial clients using AWS tools.
- Company: Capco, a forward-thinking company with an inclusive culture.
- Benefits: Competitive salary, health insurance, and training opportunities.
- Other info: Hybrid work model with opportunities to mentor junior engineers.
- Why this job: Join a dynamic team and make a real impact in the financial services sector.
- Qualifications: Strong skills in Python, Scala, or Java, and experience with Big Data technologies.
The predicted salary is between 70000 - 90000 € per year.
Capco is seeking a Senior Data Engineer in London (Hybrid) to design, build, and deploy cloud-based data pipelines for Tier 1 financial services clients. The ideal candidate will leverage AWS-native tools and possess strong skills in Python, Scala, or Java, with significant experience in Big Data technologies. A commitment to mentoring junior engineers and familiarity with CI/CD practices is essential.
Capco offers an inclusive culture and a competitive benefits package including health insurance and training opportunities.
Senior AWS Data Engineer — Real-Time Pipelines (London) employer: Capco
Capco is an exceptional employer that fosters an inclusive culture, providing a dynamic work environment in London where innovation thrives. With a competitive benefits package, including health insurance and extensive training opportunities, employees are encouraged to grow and develop their skills while working on impactful projects for Tier 1 financial services clients. Join us to be part of a collaborative team that values mentorship and professional development in the exciting field of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AWS Data Engineer — Real-Time Pipelines (London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Capco or similar firms. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects, data pipelines, and any Big Data technologies you've worked with. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your Python, Scala, or Java skills. Be ready to discuss your past projects and how you’ve tackled challenges in real-time data processing. Confidence is key!
✨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 AWS Data Engineer — Real-Time Pipelines (London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS and Big Data technologies. We want to see how your skills in Python, Scala, or Java can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for the Senior Data Engineer role. Share your passion for mentoring junior engineers and your commitment to CI/CD practices. Let your personality come through!
Showcase Your Projects:If you've worked on any real-time data pipelines or cloud-based solutions, make sure to mention them! We love seeing practical examples of your work that demonstrate your expertise and problem-solving skills.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Capco
✨Know Your AWS Tools
Make sure you brush up on your knowledge of AWS-native tools. Be ready to discuss how you've used them in past projects, especially in building and deploying data pipelines. This will show that you're not just familiar with the tech but can apply it effectively.
✨Showcase Your Coding Skills
Since the role requires strong skills in Python, Scala, or Java, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to data engineering to keep your skills sharp.
✨Emphasise Mentorship Experience
Capco values mentoring junior engineers, so be ready to share examples of how you've supported others in their development. Discuss specific instances where your guidance made a difference, as this will highlight your leadership qualities.
✨Familiarity with CI/CD Practices
Understanding Continuous Integration and Continuous Deployment is crucial for this role. Prepare to talk about your experience with CI/CD pipelines and how they’ve improved your workflow. This shows that you’re not only technically proficient but also understand modern software development practices.
