Software Engineering Specialist (Data & AI

Position: Software Engineering Specialist (Data & AI)
Job Req  Function:
Software Engineering

Location:

Belfast - Riverside Tower  About the role

At BT, we're transforming the way we serve millions of customers through data, automation and AI-driven innovation. Data sits at the heart of our Consumer technology platforms, enabling smarter decision making, operational excellence and the delivery of exceptional customer experiences across our brands.

As a Software Engineering Specialist within our Consumer Salesforce team, you'll play a key role in shaping the data capabilities that underpin one of the UK's largest consumer telecommunications platforms. Working at the intersection of software engineering, data and AI, you'll help define and deliver the technology strategy that supports our Home and Mobile transformation programmes while ensuring the reliability, integrity and operational effectiveness of business-critical data platforms.

This is an exciting opportunity to influence platform architecture, lead technical decision making, and develop innovative software and data solutions that help drive BT's digital and AI ambitions.

Working closely with technology, product and business stakeholders, you'll help unlock the value of enterprise data through scalable engineering solutions, modern data platforms and AI-enabled capabilities that support some of BT Consumer's most important business processes.

Working closely with technology, product and business stakeholders, you'll help unlock the value of enterprise data through scalable engineering solutions, modern data platforms and AI-enabled capabilities.

What you’ll be doing

Defining and delivering the roadmap for data capabilities that support Consumer transformation programmes and align with BT's wider Data and AI strategy.

Leading technical decision making across data architecture, engineering standards and platform best practices.

Designing, coding, testing and deploying scalable software and data solutions that support ingestion, transformation, analytics, reporting and visualisation requirements.

Developing high-quality engineering solutions that are secure, resilient, reusable, observable, scalable and operationally robust.

Driving improvements in data quality, data integrity and order assurance across critical Consumer platforms.

Partnering with cross-functional teams to identify opportunities where data, automation and AI can deliver measurable business value.

Implementing data governance, privacy, security and responsible AI practices across products, pipelines and analytical solutions.

Leveraging AI, machine learning and analytical approaches to improve operational performance, decision making and customer outcomes.

Implementing engineering best practices including automation, CI/CD, monitoring and Agile delivery methodologies.

Leading the identification and management of technical debt while driving platform modernisation initiatives.

Supporting operational excellence across business-critical data applications, including release management, incident resolution, change management and continuous improvement activities.

Defining metrics, controls and governance frameworks that ensure effective platform performance, reliability and service quality.

Providing technical leadership and mentoring to engineers across the wider team, promoting knowledge sharing and engineering excellence.

Essential Skills / Experience Strong experience working with enterprise-scale data platforms, data engineering solutions and software development practices.

Excellent understanding of data architecture, data modelling, data quality and data governance principles.

Strong SQL and relational database expertise, with experience working with Big Query and large-scale data environments.

Knowledge of AI, machine learning, data science and Large Language Models (LLMs), and how high-quality data enables successful AI outcomes.

Experience designing and operating high-volume, business-critical data applications and services.

Strong software engineering fundamentals, including testing, automation, CI/CD and modern engineering practices.

Experience operating within Agile software engineering teams distributed across multiple geographies.

Ability to solve complex technical challenges across software, data and analytics domains.

Strong stakeholder management and communication skills, with the ability to translate technical concepts into business outcomes.

Desirable Skills / Experience Strong experience working with enterprise-scale data platforms, data engineering solutions and software development practices.

Excellent understanding of data architecture, data modelling, data quality, data governance and data lifecycle management principles.

Strong SQL and relational database expertise, with experience working with Big Query and large-scale enterprise data environments.

Knowledge of AI, machine learning, data science and Large Language Models (LLMs), with an understanding of how high-quality data underpins successful AI outcomes.

Experience designing, developing and…