Overview
Join us as an Engineering Lead – Enterprise Data Platform for Barclays Customer, Comms and Mar Tech team, where you will play a pivotal role in leading the technical design and delivery of data solutions supporting the migration to a cloud-based Enterprise Data Platform (EDP).
You will be responsible for shaping how Customer, Comms and MarTech data is provisioned and configured in the Data Lab environments, integrated and consumed, enabling scalable, secure, and efficient data capabilities across the organisation.
This role sits at the heart of a strategic transformation to replace legacy data warehouses and platforms with a modern cloud-native EDP. You will lead engineering solution design, define new data architecture patterns including orchestration, and scheduling, and ensure seamless integration with downstream systems while maintaining high standards of data quality, security, and operational resilience.
Responsibilities
* Lead the design and build of scalable data pipelines and integrations on AWS, driving the migration of customer and MarTech datasets from legacy platforms to the EDP.
* Establish robust DevOps and DataOps practices to ensure production-ready, reliable, and high-performing data products.
* Define data architecture patterns, including orchestration and scheduling, and ensure seamless integration with downstream systems.
* Maintain high standards of data quality, security, and operational resilience across all data solutions.
Key Qualifications
* Strong hands‑on expertise in Python, PySpark, SQL, and Databricks, with the ability to build and optimise scalable data pipelines and analytics‑ready datasets.
* Experience implementing CI/CD and DevOps practices for data platforms, including GitLab workflows, automated testing, deployment pipelines, and environment management.
* Proven experience delivering AWS solutions with a focus on performance tuning, monitoring, data quality, security, and cost optimisation.
Additional Valuable Skills
* Understanding of Enterprise Data Platform concepts, including data products, domains, and consumption patterns with a focus on operability and production readiness.
* Awareness of data security practices, particularly in handling sensitive data using governed and automated approaches.
* Experience with file‑based integration patterns, including managing constraints around file formats, splitting, and downstream system limitations.
To be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job‑specific technical skills.
This role is based in Knutsford.
Purpose of the Role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
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