Principal Data Engineer – AWS

Overview

In this Principal Data Engineer role, you’ll design, build and deploy cloud-based data pipelines for Tier 1 financial services clients, using AWS and modern data architectures. You’ll work on greenfield initiatives and enterprise-scale platforms, shaping how data is ingested, transformed and served at scale. You’ll collaborate with clients and mentor junior engineers, applying Well-Architected principles to ensure secure, scalable solutions. This is a client-focused, impact-driven opportunity in a collaborativeCapco environment with a strong emphasis on learning and transformation.

Pay / Benefits

• Discretionary bonus
• Competitive pension
• Health insurance
• Mental health resources
• Maternity and parental leave
• Continuous learning and training

Responsibilities

• Design and build end-to-end data pipelines using AWS-native tools
• Collaborate with clients to capture requirements and deliver production-grade systems
• Apply AWS Well-Architected Principles for scalability, security, and resilience
• Lead development of robust, fault-tolerant data engineering solutions
• Support and mentor junior engineers and share knowledge across the team

Key requirements

• Proficiency in Python, Scala or Java with strong Big Data experience (Spark, Hadoop)
• Experience building real-time event streaming pipelines (Kafka, Spark Streaming, Kinesis)
• Proficiency in AWS cloud environments
• Experience with modern data architectures (Data Lakehouse, Data Warehousing)
• Solid understanding of CI/CD, DevOps tooling, and data governance including GDPR

• Collaboration with cross-functional teams
• Mentoring and knowledge sharing
• Strong communication and problem-solving
• AWS cloud environments
• Python/Scala/Java
• Spark, Hadoop

…