Senior Data Engineer Hybrid

We are oOh!media (pronounced “oh!” media).

oOh!media is the #1 Out of Home company in Australia and New Zealand.

We exist to make public spaces better and brands unmissable, proudly leading the market with innovation, creativity, data and results. Our network plays an important role in the communities they are located, creating engaging environments that inform, entertain and inspire, while connecting brands with audiences at scale.

We are oOh!media, and we are unmissable.

Join us: Join an organisation united by drive, creativity, innovation, and community. We show up every day ready to be bold, brave, and push the boundaries of Out of Home advertising. You’ll work alongside a group of talented professionals who are dedicated to delivering high-quality solutions at pace and transforming our technological landscape. If you’re ready to realise your potential and make an impact, join us.

About the opportunity:

• Full-Time - 12 Months Contract
• Based in North Sydney

We are seeking a highly skilled Senior Data Engineer to design, build, and maintain modern data solutions that enable advanced analytics, modelling, and reporting.

A key part of the role will be maintaining and extending our enterprise Data Warehouse on Databricks, while also contributing to a broader range of data engineering initiatives across the business. You will collaborate with Data Scientists, Analytics Engineers, and other technical teams to deliver scalable, reliable, and well-governed data products that support strategic decision-making.

Key Responsibilities:

• Pipeline Engineering: Design, build, and maintain scalable data pipelines across the Data Warehouse, leveraging the Medallion Architecture concept.
• AI Innovation: Explore and use modern AI-enabled development practices to improve delivery speed, code quality, and team efficiency across data pipeline engineering, testing, documentation, and support activities.
• Data Ingestion: Extend ingestion and transformation pipelines for new data sources, ensuring reliable history handling and production-ready outputs.
• Warehouse Management: Maintain and extend the Data Warehouse, ensuring performance, scalability, and alignment with evolving business needs.
• Governance & Quality: Implement robust data quality, governance, and lineage controls (e.g., schema validation, integrity checks, freshness monitoring) aligned with internal standards.
• Strategic Collaboration: Partner with Data Scientists to ensure data assets are optimised for modelling and experimentation.
• Efficiency & Scale: Collaborate with Analytics Engineers to design data models that balance efficiency, maintainability, and business relevance.
• Operational Excellence: Monitor and optimise compute usage for performance and cost efficiency.
• Reliability: Ensure code quality and pipeline reliability through comprehensive testing practices including unit, integration, and acceptance tests.

You Will Also Bring:

• Experience: Experience at a senior level in data engineering, with hands-on delivery of complex data solutions.
• Cloud Expertise: Experience working with cloud data platforms such as Databricks or Snowflake, and cloud service providers like AWS, GCP, or Azure.
• Technical Skills: Proficiency in Python and PySpark for data engineering and strong experience with SQL and relational databases.
• Tools: Strong experience with data transformation and modelling tools (e.g., dbt or similar) and familiarity with workflow automation like Airflow, Git, or Databricks Workflows.
• Engineering Standards: Experience with CI/CD pipelines, automated testing frameworks, and implementing DataOps principles in production environments.
• Data Modelling: Solid understanding of data modelling approaches including star and snowflake schemas and slowly changing dimensions.
• Education: Degree in Computer Science, Engineering, Data Science, or a related field.

Highly Desirable:

• AI Tooling: Experience applying AI tools in a data engineering context to accelerate development while maintaining code quality, security, and governance standards.
• Databricks Specialist: Hands-on experience with Databricks, including the use of Delta Live Tables (DLT) for orchestration.
• BI Support: Background in supporting analytics and BI tools (e.g., Power BI) through curated data marts.

Our benefits and perks:

• Competitive salary package
• A positive, supportive workplace culture
• Professional growth and development opportunities
• Comprehensive, paid training and ongoing support

At oOh!, we celebrate diversity and strive for an inclusive environment. We welcome applications from all backgrounds, including Aboriginal and Torres Strait Islander peoples, people with disabilities, LGBTQIA+ individuals, and refugees.

Applicants must meet role requirements, which may include criminal background checks, medical/drug testing, and right to work checks.