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For Companies At a Glance
- Tasks: Design and build cloud-based data pipelines for financial services clients.
- Company: Capco is a leading consulting firm focused on digital transformation in financial services.
- Benefits: Enjoy flexible holidays, mental health support, and continuous learning opportunities.
- Why this job: Join a collaborative team shaping the future of digital finance with impactful technology solutions.
- Qualifications: Strong AWS experience and proficiency in Python, Scala, or Java required.
- Other info: Inclusive recruitment process; we welcome applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
Principal Data Engineer – AWS
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
- Strong hands-on experience across AWS Glue, Lambda, Step Functions, RDS, Redshift, and Boto3.
- 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).
- 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.
- Healthcare Access: Convenient online GP services.
- 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. #J-18808-Ljbffr
Principal Data Engineer - AWS employer: Capco
Contact Detail:
Capco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer - AWS
✨Tip Number 1
Familiarise yourself with AWS-native tools like Glue, Lambda, and Redshift. Having hands-on experience with these technologies will not only boost your confidence but also demonstrate your capability to potential employers.
✨Tip Number 2
Engage in online communities or forums related to data engineering and AWS. Networking with professionals in the field can provide insights into the latest trends and may even lead to job referrals.
✨Tip Number 3
Consider contributing to open-source projects that involve data engineering or AWS. This not only enhances your skills but also showcases your commitment and expertise to future employers.
✨Tip Number 4
Prepare to discuss your experience with real-time event streaming pipelines during interviews. Being able to articulate your knowledge of technologies like Kafka or Kinesis will set you apart from other candidates.
We think you need these skills to ace Principal Data Engineer - AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS tools like Glue, Lambda, and Redshift. Emphasise your proficiency in Python, Scala, or Java, and showcase any relevant Big Data technologies you've worked with.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data engineering and how your skills align with the role. Mention specific projects where you've designed and built data pipelines, and how you applied AWS Well-Architected Principles.
Showcase Your Leadership Skills: Since the role involves mentoring junior engineers, include examples of how you've supported and guided team members in previous positions. Highlight any initiatives you've led that contributed to knowledge sharing within your team.
Demonstrate Continuous Learning: Mention any recent training, certifications, or workshops you've completed related to data engineering or AWS. This shows your commitment to staying updated with industry trends and best practices.
How to prepare for a job interview at Capco
✨Showcase Your AWS Expertise
Make sure to highlight your hands-on experience with AWS services like Glue, Lambda, and Redshift. Be prepared to discuss specific projects where you've successfully implemented these tools, as this will demonstrate your capability to design and build end-to-end data pipelines.
✨Demonstrate Your Coding Skills
Since proficiency in Python, Scala, or Java is crucial, be ready to talk about your coding experience. You might even want to prepare for a coding challenge or technical questions that assess your knowledge of Big Data technologies like Spark and Hadoop.
✨Discuss Real-Time Data Processing
Given the importance of real-time event streaming in this role, come prepared to explain your experience with tools like Kafka or Kinesis. Share examples of how you've built or optimised real-time data pipelines, as this will show your practical knowledge in action.
✨Emphasise Mentorship and Collaboration
This position involves supporting and mentoring junior engineers, so be ready to discuss your approach to teamwork and knowledge sharing. Highlight any previous experiences where you've led a team or contributed to a collaborative project, as this aligns with the company's values.
