Senior Data Engineer

Senior Data Engineer

Your new company

You’ll be joining a forward‑thinking organisation investing heavily in data, analytics and AI. The Data \& Analytics Centre of Excellence (CoE) partners closely with Technology, Cloud Engineering, Software Engineering, Architecture, Networks and Operations teams, as well as Data Governance, Data Science, Analytics Products and Business Partnering. The team is focused on building scalable, modern data and AI platforms that deliver reusable, high‑quality data products across the business.

Your new role

As a Senior Data Engineer reporting to the Head of Data Engineering, you will design, build and maintain data pipelines and processes that transform foundational data into ready‑to‑consume-derived data products. Your work will enable a single source of truth and support rapid, flexible delivery of data and AI/ML use cases.

What you'll need to succeed

As a Senior Data Engineer reporting to the Head of Data Engineering, you will design, build and maintain data pipelines and processes that transform foundational data into ready‑to‑consume-derived data products. Your work will enable a single source of truth and support rapid, flexible delivery of data and AI/ML use cases.

Executing the data and AI product roadmap and strategy

Building high‑quality ETL/ELT and MLOps pipelines

Developing, supporting and reviewing source code

Maintaining a high‑performing data engineering, MLOps and AI platform

Implementing continuous improvement and best‑practice engineering approaches

Supporting infrastructure teams to ensure end‑to‑end delivery

Troubleshooting and resolving pipeline issues

Supporting BAU data products and platforms to meet SLAs

Working within agile ways of working and scrum cadence

Sharing knowledge across engineering and IT teams

Supporting Governance \& Risk teams

Partnering with Data Engineers, ML Engineers, Data Scientists, Analysts, Business Partners, DevOps Engineers, PMs/Scrum Masters, Testers and other stakeholders

Contributing to the broader Data \& Analytics CoE strategy and team culture

Experience

5+ years in data engineering or machine learning operations

Experience in large, matrixed organisations (e.g., telco, finance, insurance, retail)

Strong ETL/ELT and MLOps experience including dimensional modelling, feature engineering, orchestration, CDC, PII protection and observability

Experience with AI platforms, patterns and tooling (e.g., orchestration, agentic AI, foundation models, model hubs, responsible AI)

Experience with modern data stacks (dbt, Databricks, Redshift, Airflow)

Qualifications

Degree in computer science, engineering, mathematics or similar, or equivalent experience

Desirable

Software engineering or DevOps experience (CICD, source control, Java, Terraform)

A solutions‑focused mindset with strong curiosity and motivation to solve complex or ambiguous problems

What you need to do now

A pivotal role in delivering a modern data and AI strategy

Exposure to cutting‑edge data and AI technologies

Collaboration with a diverse group of experts across engineering, data, AI and technology

The opportunity to shape and influence the evolution of enterprise‑scale data and AI platforms