Senior Data Engineer

We're looking for a Senior Data Engineer to join a high-performing data team responsible for delivering scalable, reliable, and innovative data solutions that power analytics and decision-making across a global streaming and digital ecosystem.

This is an opportunity to work with modern cloud technologies, large-scale datasets, and a collaborative engineering culture where you'll help shape the future of data platforms used by millions of customers worldwide.

• Design, build, and support scalable data models and distributed ETL pipelines using modern big data technologies.
• Collaborate with stakeholders across multiple business functions to understand data challenges and translate requirements into robust technical solutions.
• Champion Data Ops principles, engineering best practices, and continuous improvement initiatives.
• Develop and optimise data solutions using technologies such as Google Big Query, Python, SQL, and DBT.
• Lead by example through mentoring, coaching, and supporting fellow engineers.
• Work closely within Agile delivery teams, providing technical expertise and ensuring successful project outcomes.
• Promote platform best practices, data governance standards, and architectural consistency across multiple work streams.
• Support onboarding of new data sources and help improve data quality and integration processes.
• Strong experience designing and building complex data models and large-scale data pipelines.
• Advanced SQL skills with experience optimising and transforming large datasets.
• Proven software and data engineering experience, including CI/CD practices and automated testing.
• Experience delivering cloud-based data warehousing and ETL solutions.
• Strong knowledge of Google Cloud Platform (GCP) and DBT (Data Build Tool).
• Solid understanding of data modelling, analytics, and reporting architectures.
• Experience troubleshooting and resolving data platform incidents.
• Excellent communication and stakeholder management skills.
• Degree in Computer Science, Software Engineering, or a related discipline.
• Experience with Snowflake, Apache Iceberg, and modern Lakehouse architectures.
• Exposure to customer, commerce, or digital product datasets.
• Experience integrating third-party vendor data and reporting feeds.
• Knowledge of Behaviour-Driven Development (BDD).
• Understanding of AI/ML concepts or practical application of AI within data engineering workflows.