Before you apply, are you:

• Energetic: You can tackle any situation with enthusiasm and determination.
• Enthusiastic: You're highly motivated and naturally enthusiastic about what you do and that's reflected in the way you behave and talk.
• Empathetic: You are friendly, personable and a team player. You genuinely care about providing exceptional service to our customers, clients, and staff members.

Secure Parking is one of the largest commercial car park operators in Australia and New Zealand, owned by Park24 Co., Ltd. Our vision is to lead our markets by delivering a seamless customer experience, guided by our core values: People First, Resilience, Integrity, Daring, and Passionate.

We are looking for a Data & AI Engineer who will play a critical role in efficacious data platforms in terms of efficiency, reliability and scalability. This role ensures implementing and maintaining advanced data and introducing AI solutions within the Microsoft Fabric ecosystem.

Key responsibilities include designing and maintaining robust data pipelines, monitoring workflow processes, integrating AI/ML components, and optimising platform and query performance, all while enforcing data management and governance standards. The Data & AI Engineer collaborates closely with application developers and commercial analysts to ensure data integrity and platform reliability, acting as the link between big data and commercial outcomes.

Major Duties:

• Data Engineering and platforms- design, enhance and maintain data pipelines and data warehouse leveraging Microsoft Fabric components. Ensure data quality and documentation across the lifecycle.
• Data Management - monitor data platform performance and implement infrastructure enhancements to maintain optimal benchmarks. Seamlessly support monitoring of upstream production DBs and workflows.
• Data Governance - Design and enforce security policies (RBAC, RLS and PII) while owning data lineage, cataloguing and metadata management. Provide guidance and mentorship to technical and commercial analysts.
• Drive FinOps- ensure costs are kept within defined budget performing cost attribution analysis and optimise the efficiency.
• Automate routine tasks and operational checks using Python.
• AI & Machine Learning Integration - collaborate with data scientists and cross-functional teams to deploy machine learning models to cloud environments.
• Collaboration & Communication - work closely with international cross-functional teams including commercial analysts, application developers, data scientists to understand business needs and translate them into technical requirements.

Qualifications, Certifications & Licenses

Essential

• Three or more years of experience in data engineering, data analytics, or related data domains.
• Solid understanding of ETL/ELT and warehousing principles, and their implementation.
• Strong hands-on experience across the Azure data stack, such as Azure Databricks, Data Factory, and Data Lake.
• Advanced SQL and PySpark skills for transformation and validation.
• Solid understanding of data management including governance and privacy policy.
• Ability to work autonomously, adaptively manage competing priorities while leading and mentoring collaborators.
• A bachelor's degree in computer science, Information Technology, or a related field or equivalent.

Beneficial

• Hands-on experience with the Microsoft Fabric data platform.
• Experience with DevOps concepts, CI/CD workflows, and source control (Azure DevOps preferred).
• Creating tools and scripts to visualise and interpret large datasets.
• Strong communication skills with the ability to engage respectfully with multicultural and non-technical stakeholders.
• Experience in Power BI or other BI tools for visualisation and reporting support.
• Proficiency in configuring and utilising cloud monitoring and logging tools to proactively detect and address operational incidents.
• Solid understanding of MLOps.