Senior Data Engineer

Elysium Digital; Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

Elysium Digital in Melbourne is seeking Senior Data Engineers to design, build, and enhance enterprise data platforms across modern cloud-based data platforms, data lakes, data warehouses, and analytics environments.

You will lead the development of scalable data solutions, optimize ETL/ELT processes, and support BI capabilities within a collaborative, agile team. Strong cloud experience and data engineering excellence are essential.

Qualifications

• Baseline Clearance
• Experience as a Data Engineer in complex enterprise environments
• Strong experience with Data Lakes, Data Warehouses and analytics platforms
• Experience developing and supporting ETL/ELT solutions
• Hands-on with cloud-based data platforms (AWS and/or Azure)
• Strong SQL and data engineering capabilities
• Experience building scalable data pipelines and integration solutions
• Knowledge of CI/CD methodologies and DevOps practices
• Experience supporting production data platforms and resolving operational issues

Responsibilities

• Design, develop and maintain scalable data pipelines and data integration solutions.
• Support and enhance enterprise Data Lake and Data Warehouse platforms.
• Build and optimise batch and real-time data processing solutions.
• Develop ETL/ELT frameworks and data workflows.
• Implement and maintain CI/CD practices for data engineering solutions.
• Monitor platform performance, reliability and data quality.
• Investigate and resolve data-related incidents and production issues.
• Collaborate with architects, analysts, developers and business stakeholders.
• Contribute to continuous improvement of data engineering standards and practices.
• Produce technical documentation and support knowledge-sharing initiatives.

Skills

Data lakes

Data warehouses

ETL/ELT

Cloud platforms

SQL

CI/CD

DevOps

Production data

Job description

Join a high-performing data team delivering enterprise-scale data solutions within a complex and evolving technology environment. This role offers the opportunity to work across modern cloud-based data platforms, data lakes, data warehouses, analytics environments, and large-scale data integration initiatives.

About the Role

We are seeking experienced Senior Data Engineers to design, build, support, and enhance enterprise data platforms. You will play a key role in developing scalable data solutions, optimising data pipelines, and supporting critical business intelligence and analytics capabilities.

Working within a collaborative and agile team, you will contribute to the delivery of modern data architectures that support both operational and strategic decision-making.

Key Responsibilities

• Design, develop and maintain scalable data pipelines and data integration solutions.
• Support and enhance enterprise Data Lake and Data Warehouse platforms.
• Build and optimise batch and real-time data processing solutions.
• Develop ETL/ELT frameworks and associated data workflows.
• Implement and maintain CI/CD practices for data engineering solutions.
• Monitor platform performance, reliability and data quality.
• Investigate and resolve data-related incidents and production issues.
• Collaborate with architects, analysts, developers and business stakeholders.
• Contribute to the continuous improvement of data engineering standards and practices.
• Produce technical documentation and support knowledge-sharing initiatives.

Required Skills & Experience

• Baseline Clearance
• Demonstrated experience as a Data Engineer within complex enterprise environments.
• Strong experience working with Data Lakes, Data Warehouses and analytics platforms.
• Experience developing and supporting ETL/ELT solutions.
• Hands‑on experience with cloud‑based data platforms (AWS and/or Azure).
• Strong SQL and data engineering capabilities.
• Experience building scalable data pipelines and integration solutions.
• Knowledge of CI/CD methodologies and DevOps practices.
• Experience supporting production data platforms and resolving operational issues.