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For Companies At a Glance
- Tasks: Design and build cloud-based data pipelines using AWS tools for financial transformation.
- Company: Join Capco, a leader in digital financial services with a collaborative culture.
- Benefits: Enjoy competitive salary, health insurance, flexible holidays, and continuous learning opportunities.
- Why this job: Make a real impact on the future of financial services while working with cutting-edge technology.
- Qualifications: Proficient in Python, Scala, or Java with experience in Big Data technologies.
- Other info: Be part of an inclusive team that values diversity and personal growth.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Location: Edinburgh (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent
Engineer future-ready data platforms that power financial transformation.
The Role
We’re looking for a Senior Data Engineer with AWS to join our growing team of engineering experts driving next‑gen transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud‑based data pipelines. Working across greenfield projects and enterprise‑scale platforms, your work will directly impact how data is ingested, transformed, and served at scale across the financial services industry. This role will be located in our Scotland office, with a need to potentially work in either Edinburgh or Glasgow depending on client expectations.
What You’ll Do
- Design and build end‑to‑end data pipelines leveraging AWS‑native tools and modern data architectures.
- Collaborate with clients to gather requirements, define solutions, and deliver production‑grade systems.
- Apply AWS Well‑Architected Principles to ensure scalability, security, and resilience.
- Lead in the development of robust, tested, and fault‑tolerant data engineering solutions.
- Support and mentor junior engineers, contributing to knowledge sharing across the team.
What We’re Looking For
- Proficient in one of Python, Scala or Java with strong experience in Big Data technologies such as Spark, Hadoop, etc.
- Practical knowledge of building real‑time event streaming pipelines (e.g., Kafka, Spark Streaming, Kinesis).
- Proficiency in AWS cloud environments.
- Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing.
- A solid understanding of CI/CD practices, DevOps tooling, and data governance including GDPR.
Bonus Points For
- Expertise in Data Modelling, schema design, and handling both structured and semi‑structured data.
- Familiarity with distributed systems such as Hadoop, Spark, HDFS, Hive, Databricks.
- Exposure to AWS Lake Formation and automation of ingestion and transformation layers.
- Background in delivering solutions for highly regulated industries.
- Passion for mentoring and enabling data engineering best practices across teams.
Why Join Capco
- Deliver high‑impact technology solutions for Tier 1 financial institutions.
- Work in a collaborative, flat, and entrepreneurial consulting culture.
- Access continuous learning, training, and industry certifications.
- Be part of a team shaping the future of digital financial services.
- Help shape the future of digital transformation across FS & Energy.
Benefits
- Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
- Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in‑house first aiders.
- Family‑Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
- Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
- Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
- Continuous Learning: Minimum 40 hours of training annually. Take your pick—workshops, certifications, e‑learning—your growth, your way. Also, Business Coach assigned from Day One: Get one‑on‑one guidance to fast‑track your goals and accelerate your development.
- Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.
Inclusion at Capco
We’re committed to a barrier‑free, inclusive recruitment process. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture champions diversity, equity and inclusivity, and we bring a collaborative mindset to our partnerships with clients and colleagues. #BeYourselfAtWork is the cornerstone of our success and a value that our employees live and breathe every day.
Capco does not and shall not discriminate on the basis of race, colour, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations.
Senior Data Engineer - AWS in Edinburgh employer: The Capital Markets Company GmbH
Contact Detail:
The Capital Markets Company GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - AWS in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and data engineering. This gives potential employers a tangible sense of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data pipelines and AWS tools. Practise explaining your thought process clearly, as communication is key in collaborative environments.
✨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, it shows you’re genuinely interested in joining our team at Capco.
We think you need these skills to ace Senior Data Engineer - AWS in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with AWS, data pipelines, and any relevant Big Data technologies. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Don’t forget to mention any experience you have in financial services or similar industries.
Showcase Your Projects: If you’ve worked on any cool projects involving data architectures or real-time event streaming, make sure to include them! We love seeing practical examples of your work and how you’ve applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at The Capital Markets Company GmbH
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially the tools and services relevant to data engineering. Be prepared to discuss how you've used AWS-native tools in past projects, and think of specific examples where you've applied the Well-Architected Principles.
✨Showcase Your Data Pipeline Skills
Be ready to talk about your experience designing and building end-to-end data pipelines. Highlight any greenfield projects you've worked on and be specific about the technologies you used, like Spark or Kafka. This will show that you can handle the responsibilities of the role.
✨Prepare for Technical Questions
Expect technical questions related to Big Data technologies and real-time event streaming. Brush up on your knowledge of CI/CD practices and data governance, especially GDPR. Practising coding problems in Python, Scala, or Java can also give you an edge.
✨Emphasise Mentorship and Collaboration
Since the role involves mentoring junior engineers, be prepared to discuss your approach to knowledge sharing and team collaboration. Share examples of how you've supported others in your previous roles, as this aligns with the company’s values and culture.