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 worlds first telco and our heritage in the sector is unrivalled. As home to several of the UKs most recognised and cherished brands BT, EE, Openreach and Plusnet, we have always played a critical role in creating the future, and we have reached an inflection point in the transformation of our business.
Over the next two years, we will complete the UKs largest and most successful digital infrastructure project connecting more than 25 million premises to full fibre broadband. Together with our heavy investment in 5G, we play a central role in revolutionising how people connect with each other.
While we are through the most capital-intensive phase of our fibre investment, meaning we can reward our shareholders for their commitment and patience, we are absolutely focused on how we organise ourselves in the best way to serve our customers in the years to come. This includes radical simplification of systems, structures, and processes on a huge scale. Together with our application of AI and technology, we are on a path to creating the UKs best telco, reimagining the customer experience and relationship with one of this countrys biggest infrastructure companies.
Change on the scale we will all experience in the coming years is unprecedented. BT Group is committed to being the driving force behind improving connectivity for millions and there has never been a more exciting time to join a company and leadership team with the skills, experience, creativity, and passion to take this company into a new era.
Why this job matters
The AWS Data Engineering Manager plays a mission-critical role in enabling BTs 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 BTs mobile and fixed networks.
What youll be doing your accountabilities
- 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.
The skills youll 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 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 youd be expected to have
- 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
A FEW POINTS TO NOTE:
Although these roles are listed as full-time, if youre a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.
We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.
DON'T MEET EVERY SINGLE REQUIREMENT?
Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team.
