AWS Data Engineering Manager (1 Braham Street, London, United Kingdom)

Job Description

AWS Data Engineering Manager (1 Braham Street, London, United Kingdom)
Recruiter: Daniel McCarthy
Internal Closing Date: 18/8/25

About us
BT Group was the world’s first telco, with an unrivalled heritage in the sector. We are home to several of the UK’s most recognized brands – BT, EE, Openreach, and Plusnet. We are at a pivotal point in transforming our business, including completing the UK’s largest digital infrastructure project connecting over 25 million premises to full fibre broadband, and investing heavily in 5G. Our focus is on simplifying systems, adopting AI and new technologies, and creating the UK’s best telco, reimagining customer experiences.

This is an exciting time to join BT Group as we aim to improve connectivity for millions, leveraging innovation and leadership to usher in a new era.

Why this job matters

The AWS Data Engineering Manager plays a critical role in BT’s DD Ops transformation, leading the design, implementation, and optimization of data infrastructure that supports automated, intelligent operations. The role manages a team of skilled data engineers responsible for building and maintaining scalable, secure, high-performance data pipelines that handle both structured and unstructured data from various sources. These pipelines underpin real-time insights, predictive analytics, and AI Ops capabilities across BT’s networks.

What you’ll be doing – your accountabilities

• Team Leadership & Coaching: Lead and mentor data engineers, guiding complex projects and fostering a collaborative, high-performance culture.
• Technical Direction & Strategy: Define the technical vision for data engineering, with expertise in big data, systems design, machine learning, and cloud infrastructure.
• Data Infrastructure & Optimization: Oversee development and maintenance of high-quality datasets and optimized codebases supporting data products and scalable architectures.
• Agile Delivery & Best Practices: Ensure adherence to Agile methodologies and engineering best practices for delivering high-quality solutions.
• Data Quality & Visibility: Manage data sources to define and monitor data quality, pipeline health, and infrastructure performance indicators.
• Resource Management: Allocate engineering resources effectively to address priorities and ensure measurable outcomes.
• Solution Design & Delivery: Translate business needs into scalable data solutions aligned with strategic timelines.
• Vendor & Partner Collaboration: Manage relationships with external partners, setting clear expectations on deliverables, quality, and costs.
• Innovation & Knowledge Sharing: Promote emerging trends in data engineering and foster a culture of continuous learning and innovation.
• Talent Development: Coach and develop team members through upskilling, performance management, and recruitment.
• Process Improvement: Lead initiatives to enhance workflows, tools, and practices for greater efficiency.

The skills you’ll need to succeed

• 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 skills (Python, Spark, SQL)
• Data quality management and observability
• Strategic thinking and solution architecture
• Stakeholder and vendor management
• Continuous improvement mindset
• Excellent communication and mentoring skills

Experience you’d be expected to have

• Proven experience managing data engineering teams in cloud 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

Note: Although these roles are listed as full-time, we welcome flexible working arrangements such as job sharing, reduced hours, or other flexible options. We also offer reasonable adjustments during the selection process. If your experience doesn’t meet every requirement, we encourage you to apply anyway, as diversity and inclusion are core to our values.

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