At a Glance
- Tasks: Design and build cloud-based data pipelines using AWS tools for financial transformation.
- Company: Join Capco, a leader in tech solutions for Tier 1 financial institutions.
- Benefits: Enjoy competitive pay, health insurance, flexible holidays, and continuous learning opportunities.
- Other info: Collaborative culture with a focus on diversity, equity, and inclusivity.
- Why this job: Make a real impact on digital transformation in the financial services industry.
- Qualifications: Experience in Python, Scala or Java, and proficiency in AWS and Big Data technologies.
The predicted salary is between 80000 - 100000 € per year.
Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent
Engineer future-ready data platforms that power financial transformation.
The Role
We’re looking for a Principal 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 the way data is ingested, transformed, and served at scale across the financial services industry.
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.
We offer a competitive, people‑first benefits package designed to support every aspect of your life:
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.
Lead Data Engineer - AWS employer: Capco
Capco is an exceptional employer that fosters a collaborative and entrepreneurial culture, empowering employees to deliver high-impact technology solutions for Tier 1 financial institutions. With a strong commitment to continuous learning and personal development, employees benefit from a comprehensive training programme, generous family-friendly policies, and a competitive benefits package designed to support their well-being. Located in London, the hybrid work model allows for flexibility while being part of a team that shapes the future of digital transformation in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - AWS
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on 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 look at 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 engineering and AWS. Practice 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 Lead Data Engineer - AWS
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead 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 relevant projects, make sure to include them in your application. Whether it’s building data pipelines or using AWS tools, we love seeing real-world examples of your work and how you’ve tackled challenges.
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 that extra step!
How to prepare for a job interview at Capco
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS tools and Big Data technologies like Spark and Hadoop. Brush up on your Python, Scala, or Java skills, as you'll likely be asked to demonstrate your proficiency during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of how you've designed and built data pipelines in the past. Think about challenges you faced and how you applied AWS Well-Architected Principles to overcome them.
✨Be Ready to Collaborate
Since this role involves working closely with clients, practice articulating how you gather requirements and define solutions. Highlight any experience mentoring junior engineers, as teamwork is key in this position.
✨Understand the Industry Context
Familiarise yourself with the financial services sector and the regulatory landscape, including GDPR. Being able to discuss how your work impacts data governance will set you apart from other candidates.
