We're seeking a Data Ops Engineer to join our team and take ownership of designing, managing, and optimising data pipelines that power our organisation. In this role, you'll sit at the exciting intersection of data engineering, product thinking, and operational excellence, where you'll build robust, scalable data systems and ensure reliable, high-quality data delivery. You'll work hands-on with APIs, backend systems, SQL, Python, and modern data warehousing tools like BigQuery, while taking full ownership of the end-to-end data lifecycle from ingestion through transformation to consumption. Your technical expertise will be matched by your ability to collaborate with stakeholders across engineering, product, and business teams, translating complex requirements into elegant data solutions. Our team values strong ownership, proactive problem-solving, and continuous improvement. You'll work in an agile environment where you'll contribute to ceremonies, drive process improvements, and collaborate cross-functionally to deliver impact. We're looking for someone who can balance short-term fixes with long-term scalability, implement observability and monitoring best practices, and ensure data governance and compliance standards. Whether you're at the intermediate level independently building pipelines or at the senior level architecting complex data ecosystems and influencing strategic decisions, you'll have the autonomy to shape how data flows through our organisation. Success in this role means delivering reliable, well-documented pipelines with minimal downtime, maintaining high data quality, and continuously improving our data infrastructure. You'll have the opportunity to innovate with new technologies, drive automation, and enable downstream teams with usable, trustworthy data. We offer a collaborative culture where you can grow your technical leadership, mentor others, and make a measurable impact on both our data strategy and business outcomes.