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