The AWS Data Engineering Manager plays a mission-critical role in enabling BT's DD Ops transformation by leading the design, implementation, and optimisation of data infrastructure that powers intelligent, automated operations. This role manages a team of skilled data engineers and is responsible for building and maintaining scalable, secure, and high-performance data pipelines that capture, manage, store, and utilise both structured and unstructured data from internal and external sources. These pipelines are foundational to delivering real-time insights, predictive analytics, and AI Ops capabilities across BT's mobile and fixed networks.
Key Responsibilities:
1. Team Leadership & Coaching: Lead and mentor a team of data engineers, guiding them through complex, open-ended projects and fostering a high-performance, collaborative culture.
2. Technical Direction & Strategy: Shape the technical vision of the data engineering function, contributing deep expertise across big data, systems design, machine learning, and cloud infrastructure.
3. Data Infrastructure & Optimisation: Oversee the development and maintenance of accurate, high-quality datasets and optimised codebases that support data products, pipelines, and scalable architectures.
4. Agile Delivery & Best Practices: Ensure teams follow Agile methodologies and engineering best practices to consistently deliver high-quality, production-ready solutions.
5. Data Quality & Visibility: Coordinate the use of internal and external data sources to define and monitor key indicators of data quality, pipeline health, and infrastructure performance.
6. Resource Management: Allocate engineering resources effectively to address priority issues, ensuring timely responses and measurable outcomes.
7. Solution Design & Delivery: Translate business objectives into scalable, end-to-end data solutions that meet customer needs and align with strategic timelines.
8. Vendor & Partner Collaboration: Manage relationships with outsourced partners and suppliers, setting clear expectations around deliverables, quality, timelines, and cost.
9. Innovation & Knowledge Sharing: Champion emerging trends in data engineering, continuously developing and sharing knowledge to drive innovation and technical excellence.
10. Talent Development: Coach and develop team members through upskilling, performance management, and recruitment to build future-ready capabilities.
11. Process Improvement: Lead initiatives to enhance data engineering workflows, tools, and practices for greater efficiency and impact.
Leadership & Technical Skills:
* Advanced knowledge of AWS data services (e.g., S3, Glue, EMR, Lambda, Redshift)
* Expertise in big data technologies and distributed systems
* Strong coding and optimisation skills (e.g., Python, Spark, SQL)
* Data quality management and observability
* Strategic thinking and solution architecture
* Stakeholder and vendor management
* Continuous improvement and innovation mindset
* Excellent communication and mentoring abilities
Experience Requirements:
* Proven experience managing data engineering teams in cloud-native environments
* Track record of delivering scalable data solutions aligned with business goals
* Hands-on experience with modern data platforms, pipelines, and governance frameworks
* Familiarity with machine learning workflows and data science enablement
* Experience working with cross-functional teams and external partners
BT Group is a leading telecommunications company with a rich heritage. We are at an inflection point in transforming our business through digital infrastructure projects, 5G investment, and AI-driven innovations. Join us to be part of this exciting journey to improve connectivity and customer experience across the UK.
#J-18808-Ljbffr