Data Engineer – Build Scalable Data Infrastructure

About the role

We are looking for a Data Engineer to build a robust, scalable, and high-quality data foundation that enables analytics, reporting and product decision-making across the organisation.

Key responsibilities

• Establish and maintain data quality checks, validation processes and governance standards, and document data sources, pipelines and models.
• Build scalable pipelines that ingest, normalise and transform data from multiple internal systems into a unified central data store.
• Develop clean, well-structured data models ready for analysis and reporting.
• Build APIs and data delivery mechanisms that provide fast, reliable access to analytics, insights and reports.
• Develop ingestion APIs and solutions for importing external or client data into databases and own data feeds.
• Improve data accessibility, query performance and database efficiency in collaboration with Engineering.
• Support modelling and analysis of product or engineering roadmap impact to aid prioritisation and decision-making.
• Design and operate modern, scalable data infrastructure in a DevOps environment.

Required profile

• Experience designing, implementing and maintaining end-to-end data infrastructure.
• Ability to partner with cross-functional teams such as Data Analysts, Engineering and Client Services.
• Strong focus on data quality, governance and documentation.
• Proven track record of building scalable data pipelines and models.

Required skills

• APIs
• Data pipelines
• Data modelling
• Database optimisation