BT Group

Full-stack Engineer

• Lead the execution of the engineering strategy, ensuring high-quality, on-time, and on-budget deliveries, and implement metrics for measurability and predictability.
• Make complex technical decisions, select technologies, and design architectures for high-performance products, balancing short-term impact with long-term transformation.
• Contribute to the development of an ambitious technical roadmap aligning with business needs, engineering goals, and partner requirements.
• Resolve complex and strategic issues using advanced technical knowledge, developing bespoke solutions, especially in untested technologies or products with large-scale impact.
• Lead engineering and operational excellence initiatives, establishing metrics and processes for regular assessment and improvement.
• Foster an engineering culture that promotes innovation, creativity, predictability, and reliability in product development.
• Write, test, and review code, addressing complex aspects independently, and communicate effectively with engineering professionals.
• Mentor other software engineers, sharing technical knowledge and contributing to team improvement.
• Champion emerging trends and changes in software engineering, continuously sharing knowledge with the team.
• Drive efficiency and delivery focus by coaching teams using various tools and agile methodologies.
• Directly impact customers by managing critical projects, stakeholder relationships, and expectations.
• Actively contribute to the overall culture and well-being of the teams.

Software Engineer

Data Engineer

• Lead End-to-End Data Lifecycle: Own and manage the complete data lifecycle—from capturing learning interaction data to delivering consolidated insights—ensuring data is accurate, accessible, and actionable.
• Architect Scalable Data Solutions: Design and implement enterprise-grade data pipelines and architectures using AWS services (e.g. S3, Glue, Lambda, Redshift, EMR, Kinesis), optimised for analytics and scalability.
• Set Technical Direction: Define and guide technical decisions related to data conceptualisation, modelling, and visualisation within the organisation’s analytics ecosystem.
• Champion Data Governance and Access: Drive visibility into data usage and access, ensuring secure, compliant, and transparent data practices across the organisation.
• Communicate with Impact: Translate complex technical concepts into clear, non-technical language for business stakeholders and internal customers.
• Act as a Subject Matter Expert: Serve as a go-to expert in data architecture, resolving complex issues and fostering thought leadership and technical excellence.
• Drive Standards and Best Practices: Lead the implementation of architectural guidelines and frameworks, ensuring alignment with strategic objectives and consistency across solutions.
• Monitor and Optimise Services: Define and oversee service metrics, collaborating with stakeholders to meet performance standards and client expectations.
• Innovate and Evolve Architecture: Spearhead the conceptualisation and development of innovative data services and products, aligned with evolving business needs.
• Mentor and Develop Talent: Coach and support experienced professionals, building current and future capabilities within the data architecture team.
• Lead Continuous Improvement: Identify and implement process enhancements to improve the efficiency, quality, and agility of data architecture practices.
• Cloud Governance: Utilize tools such as IAM, resource tagging, cost management, etc. to enforce AWS governance policies and implement monitoring and alerting solutions to address issues proactively.

Principal Data Architect

Customer Support

• Assists in creating value-based relationships with customers to optimise customer service whilst leveraging the BT Group's resource pool, within guidelines and under full supervision.
• Gathers customer information and performs basic analysis and understands customer needs to provide customer service insight for the efficient management of customer issues.
• Executes and delivers routine work clearly covered by existing procedures in order to achieve objectives and the vision of the Customer Service team.
• Handles professionally and effectively with customer contacts, showing resilience and sound decision-making whilst under pressure.
• Participates in the continuous improvement activities to improve the customer service team processes.

Trainee Customer Service Support Advisor

DevOps Engineer

• Own the Private Cloud “EC.3” Capacity Management Platform – act as the single accountable owner for capacity planning, forecasting, modelling, and optimisation across the VMware-based Enterprise Cloud v3 environment.
• Define and Deliver the Capacity Roadmap – translate business demand and programme milestones into a prioritised backlog of features and automation, using Agile delivery practices.
• Implement SRE Guardrails – establish SLIs, SLOs, and error budgets for infrastructure-related reliability; ensure proactive risk management.
• Develop Forecasting Models – build accurate short-, medium-, and long-term capacity forecasts using telemetry and scenario analysis to prevent saturation and ensure headroom.
• Automate Capacity Workflows – reduce manual toil by creating scripts, policies, and integrations for rightsizing, placement, and quota enforcement using PowerCLI, APIs, and IaC.
• Maintain Real-Time Telemetry & Dashboards – provide a single source of truth for utilisation, trends, and optimisation opportunities through VMware Aria Operations (vROps) and reporting tools.
• Optimise Cost and Efficiency – align with FinOps principles to deliver show back/chargeback reporting, identify waste, and implement cost-saving measures without compromising reliability.
• Integrate with ITSM & Governance – ensure ServiceNow CMDB accuracy, automate request fulfilment, and maintain compliance with capacity policies and audit requirements.
• Collaborate Across Teams – work closely with Architecture, Programme Delivery, Finance, and Operations to align capacity decisions with strategic objectives and risk appetite.
• Continuously Improve – evolve the capacity management capability through iterative enhancements, stakeholder feedback, and adoption of emerging best practices.

Lead – Capacity & Automation, SRE

Sales

• Speaking with customers over the phone
• Learning what matters most to them
• Building relationships
• Matching them with the perfect EE products and services
• Using your energy and ambition
• Collaborating with your team to share ideas and celebrate success

Sales Advisor

Data Scientist

• Leads the extraction and analysis of Mobile data through the application of Machine learning & AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services.
• Drives model development, including data exploration, training data, feature extraction, validation and scoring.
• Drives the development of insightful visualisations to make sophisticated analyses accessible to a broad audience.
• Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in the context of artificial intelligence and machine learning.
• Leverage Amazon SageMaker's capabilities, such as SageMaker Studio, Pipelines, and Endpoints, to streamline the process of building, training, evaluating, and deploying models at scale.
• Implement and maintain robust Machine Learning Operations (MLOps) practices, including CI/CD pipelines, model versioning, monitoring for drift and performance, and automated retraining processes.
• Collaborate on data acquisition, preprocessing, feature engineering, and data analysis to prepare large datasets for model training.
• Leads the identification of opportunities and implementation of Sagemaker machine learning techniques to derive business insights.
• Drives machine learning model development, including data exploration, training data, feature extraction, validation and scoring..
• Contributes towards the development of machine learning guidelines, policies, and architecture which supports scalable machine learning pipelines.
• Drives new data set sourcing, transformation and preparation new data sets from across the BT group’s platforms to build foundational data models for data science, analytics and machine learning.

Data Science, AI Specialist

• Speak with our customers over the phone about their account
• Listen to their needs and work together to find the best possible outcome
• Schedule your own breaks and banking time
• Option of occasional home working

Customer Service Advisor

• Speak with customers over the phone, getting to know what matters most to them
• Building strong relationships and recommending the right EE products and services to suit their needs
• Use your energy and ambition to thrive and meet goals, and grow your skills along the way
• Complete a 15-month NVQ Level 2 in Customer Service with support every step of the way – including one dedicated study day a week, guidance from a college tutor, and extra coaching

Apprentice Sales Advisor

Outside Sales

• Engage shoppers at pop-up stands and events with EE Broadband offers.
• Turn conversations into sales by understanding customer needs and matching them with the right EE solutions.
• Work across multiple event locations, with all travel costs fully covered.
• Deliver exceptional customer service while achieving and exceeding your targets.
• Build trust and connection – making every customer feel valued, informed, and supported.
• Represent the EE brand proudly at events, sharing the benefits of staying connected with EE.

Field Sales and Events Guide

• Knock doors and engage homeowners with EE Broadband offers in your local area.
• Turn conversations into sales by understanding customer needs and matching them with the right EE solutions.
• Work in allocated territories, with all travel costs fully covered.
• Deliver exceptional customer service while achieving and exceeding your targets.
• Build trust and connection – making every customer feel valued, informed, and supported.
• Represent the EE brand proudly within your community, sharing the benefits of staying connected with EE.

Field Sales, Events Consultant

Security Operations

• Must understand how to protect data BTs data in a cloud environment (GCP experience is preferred)
• Must understand the role of data in relation to Business process and systems
• Must classify the data and apply the appropriate controls
• Is responsible for ensuring that data is protected appropriately whilst at rest and as part of its journey into and through GCP
• Provides 2nd Line SecOps – working with the GCP Core SecOps Team to mitigate any identified risks
• Runs the Security Guide, Trust, Verify Model to ensure empowerment of users whilst helping them to comply and checking to ensure they do. This will incorporate 1st Line Assurance - Accountable for ensuring the effectiveness of security controls as they apply in GCP
• Provides guidance taking the squads from DevOps to a DevSecOps Model
• Is responsible for the assessment of new code pipeline patterns to ensure there are no security risk such as the potential for sql injection
• Creates a change network that builds consensus and momentum for change with join purpose, learning, decision making and accountability across different teams
• Provides clear communication and engagement plans with stakeholders
• Ensure that the data is appropriately secured in the GCP estate based on how it will be used, who will have access to it etc
• Scope of existing controls and if any new ones are needed and if so how this will be implemented.

Data & AI Security Operations Specialist

Financial Planning and Analysis

• Provides finance analysis and input to support the Group and/or Unit activity
• Executes a range of financial analysis, preparation of reports and other finance activities to support Business Area/Unit finance priorities, working across the Finance teams as required
• Delivers forecasts and budgets in line with best practices and the broader business context, using appropriate numerical and statistical techniques
• Analyses and summarises financial data into concise financial reports to comply with standards and procedures and identifies data issues that are affecting productivity or compliance
• Supports all financial reporting cycles with relevant and accurate information, specifically the monthly results, statutory reports, short term forecasts/budgets and the strategic plan
• Supports the identification and management of risk through regular assessment and diligent execution of controls and mitigations, raising any concerns as appropriate
• Supports in the implementation of ways to improve working processes within area of responsibility and communicate issues and areas for improvement to business unit/area managers such as through supporting resolution of any data issues impacting productivity or compliance
• Keeps knowledge up to date on emerging trends and changes in financial planning principles and practices, sharing with team members

Finance Analyst

Solutions Engineer

• Design and implement Kafka-based streaming solutions for high availability and fault tolerance.
• Define topic structure, partitioning, replication, retention, and compaction policies.
• Architect stream processing pipelines using Apache Flink for real-time analytics.
• Implement disaster recovery, geo-replication, and security (TLS, SASL, RBAC, ACLs).
• Hands on experience in setting up confluent kafka on On-prem and cloud platforms
• Optimize cloud resources for cost efficiency and performance.
• Implement Dynatrace for end-to-end monitoring of Kafka clusters and streaming jobs.
• Configure dashboards, alerts, and performance metrics for proactive issue detection.
• Build producers, consumers, and connectors using Kafka Connect.
• Integrate with data lakes, databases, and APIs across hybrid environments.
• Build POC's for different solutions.
• Work with DevOps teams for infrastructure automation (Terraform, Ansible).
• Mentor teams on Kafka best practice and streaming architecture.

Data Integration Engineering Specialist

Designer

• Ensure excellence in pre-sales support for pre-qualified opportunities across products and services
• Support new sales activities in targeted accounts by leveraging customer relationships
• Manage and coordinate technical presentations and working sessions to architect solutions
• Collate customer feedback for product and services development
• Monitor customer pipelines and support deal orchestration
• Understand customers and industry verticals to align with BT Group's propositions
• Mentor team members and share knowledge on engineering trends

Software Engineer

Principal Data Architect

Trainee Customer Service Support Advisor

Lead – Capacity & Automation, SRE

Sales Advisor

Data Science, AI Specialist

Customer Service Advisor

Apprentice Sales Advisor

Field Sales and Events Guide

Field Sales and Events Guide

Field Sales, Events Consultant

Data & AI Security Operations Specialist

Finance Analyst

Data Integration Engineering Specialist

Solution Design Specialist