Data Engineering Lead

1 day ago

Wollongong, New South Wales, Australia Illawarra Mercury Full time

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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