Senior Data Engineer

Work Initiatives; North Sydney; On-site; AUD 150,000 - 210,000; Full time

Job summary

Work Initiatives is seeking a Senior Data Engineer to design and build enterprise-scale data platforms. You will develop scalable data pipelines, optimise data workflows, and support BI and analytics across cloud-based platforms.

Join a high-performing data team in a dynamic environment, collaborating with architects, analysts, and business stakeholders to deliver modern data architectures and reliable data delivery.

Qualifications

• Hands-on experience with data pipelines and data integration.
• Strong SQL and data engineering capabilities.
• Excellent problem-solving and communication skills.

Responsibilities

• Design, build and maintain scalable data pipelines and integration solutions.
• Support and enhance Data Lake and Data Warehouse platforms; develop batch and real-time processing.
• Implement CI/CD for data engineering solutions; monitor data quality and platform reliability.
• Collaborate with architects, analysts and stakeholders; produce technical documentation.

Skills

SQL

Analytical thinking

Troubleshooting

Tools

AWS

Azure

CI/CD

ETL/ELT tooling

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. Strong problem-solving, analytical and troubleshooting skills.
• Excellent stakeholder engagement and communication abilities.

Desirable Experience

• Big Data technologies and distributed data processing platforms. Real-time streaming and event-driven architectures.
• Python or other data engineering programming languages. Business intelligence and reporting platforms. Data governance and data quality frameworks.
• Experience working within highly regulated or enterprise environments.