AWS Data Engineering Manager Job at Plusnet (London)

AWS Data Engineering Manager

Plusnet

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

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
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
Data Infrastructure & Optimisation: Oversee the development and maintenance of accurate, high-quality datasets and optimised codebases that support data products, pipelines, and scalable architectures
Agile Delivery & Best Practices: Ensure teams follow Agile methodologies and engineering best practices to consistently deliver high-quality, production-ready solutions
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
Resource Management: Allocate engineering resources effectively to address priority issues, ensuring timely responses and measurable outcomes
Solution Design & Delivery : Translate business objectives into scalable, end-to-end data solutions that meet customer needs and align with strategic timelines
Vendor & Partner Collaboration: Manage relationships with outsourced partners and suppliers, setting clear expectations around deliverables, quality, timelines, and cost
Innovation & Knowledge Sharing: Champion emerging trends in data engineering, continuously developing and sharing knowledge to drive innovation and technical excellence
Talent Development: Coach and develop team members through upskilling, performance management, and recruitment to build future-ready capabilities
Process Improvement : Lead initiatives to enhance data engineering workflows, tools, and practices for greater efficiency and impact

Requirements:

Leadership in data engineering and Agile delivery
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
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

Additional Information:

Job Posted:
January 25, 2026

Employment Type:

Fulltime

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