Job Description
We are seeking a skilled Data Engineering Lead to join our team. This role will involve leading and mentoring a team of data engineers to deliver high-quality data solutions.
The successful candidate will have experience in designing, building, and maintaining scalable data architectures and automated pipelines in cloud environments, including migration from legacy systems.
They will also have expertise in leading transformation projects and end-to-end migrations or commercialisation initiatives for enterprise and SME clients.
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Required Skills and Qualifications
Key Responsibilities:
* 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.
* 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.
Qualifications:
* 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.
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Benefits
This is a highly rewarding opportunity for the right candidate. The salary banding for this position is $170,000 - $200,000 AUD + Super.
Based in Brisbane, you will have 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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Others
Experience or interest in the betting, gaming, or lottery industries is a plus. Strong collaboration skills across analytics, product, marketing, and engineering teams are essential for success in this role.