Data Integration Engineer: Build Scalable ETL Pipelines

Leidos; Canberra; On-site; AUD 120,000 - 150,000; Full time

Benefits offered by this job

Life Days (up to 12 extra days off)

Headspace and MeQuilibrium access

Extensive learning & development

Career growth opportunities

Flexible work options

Job summary

Leidos Australia is seeking a Data Integration Engineer to design and deliver scalable data integration solutions across enterprise systems. You will work with architects and engineers to ensure data is reliable and actionable for decision making.

Key duties include building ETL/ELT pipelines, developing integration frameworks, and supporting data migrations while collaborating with stakeholders to translate requirements into practical outcomes.

Qualifications

• Experience in data integration, ETL/ELT development, data engineering, or a related technical discipline.
• Experience with SQL and data warehouses/data lakes.
• Familiarity with cloud data platforms such as Azure/AWS/GCP.
• Proficiency in Python and SQL; understanding of data formats like JSON/CSV/Parquet.

Responsibilities

• Design, build, and optimise ETL/ELT pipelines across enterprise apps and cloud data platforms.
• Develop reusable integration frameworks, transformation logic, and monitoring capabilities.
• Support data migrations, platform upgrades, and secure data integration solutions.
• Collaborate with architects, engineers, and stakeholders to translate requirements into technical outcomes.

Skills

ETL/ELT development

SQL & relational databases

Cloud data platforms

Python/SQL

CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Factory

Databricks

Azure Synapse

Snowflake

Power BI

Job description

Leidos Australia is seeking a Data Integration Engineer to design and deliver scalable data integration solutions across enterprise systems. You will work with architects and engineers to ensure data is reliable and actionable for decision making.

Key duties include building ETL/ELT pipelines, developing integration frameworks, and supporting data migrations while collaborating with stakeholders to translate requirements into practical outcomes.