Join to apply for the Data Engineering Lead role at Illawarra Mercury.
Over the past 30 years, we've grown from humble beginnings to a global technology company (ASX-300 listed company, JIN). We develop cutting-edge solutions empowering our lottery and not-for-profit partners to raise funds for their vital causes.
What you'll be doing
* Lead and mentor a team of data engineers to deliver high-quality data solutions.
* Design, build, and maintain scalable, secure data architectures and automated pipelines for data ingestion, transformation, and delivery, including migration from legacy platforms to modern cloud-based stacks.
* Develop and optimise data models and ensure reliable deployment through CI/CD processes.
* Collaborate with analytics, product, marketing, and engineering teams to understand data requirements and deliver effective solutions.
* Implement and enforce data quality, governance, and security standards to maintain accuracy and compliance.
* Monitor data platform performance, proactively identify issues, and ensure high availability and reliability.
* Stay current with industry trends and emerging technologies, advocating for best practices and innovation within the team.
* Maintain comprehensive documentation of data processes, architectures, and workflows.
* Support ad hoc reporting and data requests to assist various business functions.
* Balance transformation projects with ongoing support and hands-on engineering, managing priorities across multiple projects.
* Oversee development and optimisation of data solutions for internal needs and SaaS clients, ensuring business continuity and cost efficiency.
What you'll bring to the role
* Proven experience in data engineering with leadership, ideally in SaaS/client-facing delivery.
* Expertise in designing, building, and maintaining scalable data architectures and automated pipelines in cloud environments, including migration from legacy systems.
* Experience leading transformation projects and end-to-end migrations or commercialisation initiatives for enterprise and SME clients.
* Proficiency in Bash, SQL, Python, Spark, and dbt; familiarity with Snowflake, Databricks, and CI/CD pipelines.
* Strong understanding of data governance, quality, and security best practices.
* Ability to mentor and lead technical teams, fostering innovation and continuous improvement.
* Excellent communication and collaboration skills with technical and non-technical stakeholders.
* Proactive problem-solving with a focus on performance, reliability, and automation.
* Experience or interest in the betting, gaming, or lottery industries is a plus.
* Strong collaboration skills across analytics, product, marketing, and engineering teams.
* Commitment to continuous learning and staying current with data engineering trends.
Salary & Working Model
Salary Banding: $170,000 - $200,000 AUD + Super
Based in Brisbane with a hybrid model: in-office three days per week and WFH two days per week. Flexible hours with core collaboration times from 10:00 AM to 2:00 PM.
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