A leading Australian enterprise is undertaking a major transformation of its data and analytics capability. With a strong focus on innovation, cloud technologies, and data-driven decision-making, the organisation is investing heavily in modern data platforms that support critical business operations, reporting, and advanced analytics initiatives.This is an opportunity to join a high-performing technology team responsible for developing and enhancing enterprise-scale data solutions across a complex and evolving environment.
Your new role
As a Senior BI Engineer, you will play a key role in the end-to-end delivery, operation, and optimisation of enterprise data platforms. You will be responsible for designing, building, testing, implementing, and supporting data solutions that enable business intelligence, reporting, and analytics capabilities across the organisation.Working closely with architects, project managers, developers, and business stakeholders, you will contribute to the ongoing evolution of data platforms while ensuring alignment with architecture standards, security requirements, and organisational best practice.
Key responsibilities include:
- Supporting the design, development, implementation, and ongoing operation of enterprise data platforms.
- Delivering data ingestion, ETL/ELT, reporting and analytics solutions that meet business requirements.
- Participating in project planning, estimation, technical design, development, testing, and deployment activities.
- Designing reusable data engineering frameworks, components, and patterns.
- Collaborating with architects and stakeholders to ensure solutions align with strategic technology roadmaps.
- Contributing to data architecture forums and technical governance processes.
- Managing production support activities, including Level 3 incident resolution and root cause analysis.
- Maintaining technical documentation, standard operating procedures, and knowledge repositories.
- Supporting continuous improvement initiatives across technology, processes, and tooling.
- Working within Agile and/or Waterfall delivery environments.
To be successful in this role, you will possess a strong background in data engineering, data warehousing, and cloud-based data platforms.
You will demonstrate experience with:
- Degree qualifications in Information Technology, Computer Science, Engineering, or a related discipline, or equivalent commercial experience.
- Data warehouse design and modelling concepts including Star Schema, Snowflake, Kimball, and hybrid modelling approaches.
- Data engineering, ETL/ELT development, and data integration solutions.
- Microsoft SQL Server technologies including SSIS, SSRS, SSMS, and advanced SQL development.
- Scripting and automation using Linux/Unix Shell Scripting, PowerShell, or similar technologies.
- Modern cloud data platforms and services, ideally across AWS environments.
- Tools such as Apache Airflow, AWS Glue, Amazon S3, Qlik, SAP Business Objects, or comparable technologies.
- CI/CD, DevOps practices, and software delivery best practices.
- Jira, Confluence, SharePoint, or similar collaboration and project management tools.
- Production support, incident management, and operational troubleshooting within enterprise environments.
- Excellent stakeholder engagement and communication skills, including the ability to engage with senior business and technology leaders.
- Opportunity to work on enterprise-scale data and analytics programmes.
- Exposure to modern cloud, data engineering, and reporting technologies.
- A collaborative and supportive team culture.
- Ongoing professional development and learning opportunities.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
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