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From the employer's careers site First seen 28 Oct 2026 · Still live on 31 Oct 2026

Data Integration Engineer

Leidos Australia Hybrid senior full-time

The employer hasn't listed a salary.

Apply on Leidos Australia

Description

At Leidos Australia, you'll play a crucial role in enabling trusted, high-quality data across the organisation. As a Data Integration Engineer, you will design and deliver scalable integration solutions that connect systems, platforms, and business functions.

The Civil Digital Modernisation business delivers IT services to Australian Federal and State Government departments and agencies to accelerate digital modernisation and ensure secure, resilient, and adaptive environments.

Key Responsibilities:

  • Design, build, and optimise ETL/ELT pipelines that integrate data across enterprise applications, databases, cloud platforms, data warehouses, and analytics environments.
  • Develop reusable integration frameworks, transformation logic, validation processes, and monitoring capabilities that improve data quality, reliability, and operational efficiency.
  • Support the delivery of new business initiatives, system implementations, data migrations, and platform upgrades by providing secure and scalable integration solutions.
  • Collaborate with technical and business stakeholders to translate requirements into practical outcomes, while contributing to testing, automation, CI/CD practices, and continuous improvement of the data platform.

Requirements:

  • Experience in data integration, ETL/ELT development, data engineering, or a related technical discipline.
  • Experience working with SQL and relational databases, data warehouses, and/or data lake environments.
  • Experience using integration and data platform technologies such as Azure Data Factory, Databricks, Microsoft Fabric, Azure Synapse, AWS Glue, Informatica, Snowflake, SSIS, Talend, Redshift, BigQuery, or similar platforms.
  • Capability in developing integrations across APIs, web services, cloud platforms, databases, and common data formats including JSON, XML, CSV, Parquet, and Avro.
  • Knowledge of data transformation, mapping, validation, reconciliation, metadata, lineage, governance, and data quality practices.
  • Experience with cloud environments such as Microsoft Azure, AWS, or Google Cloud.
  • Experience using programming or scripting languages such as Python, SQL, PySpark, Java, or similar technologies.
  • Understanding of source control, CI/CD pipelines, DevOps practices, and secure data management principles including access controls, encryption, and privacy requirements.
  • Well-developed analytical, troubleshooting, and problem-solving skills, with the ability to investigate issues, identify root causes, and implement effective solutions.
  • Ability to communicate clearly with a range of stakeholders and translate business requirements into practical technical outcomes.

Benefits:

  • Flex Your Way – Tailor work to your life with options including Life Days (up to 12 extra days off per year), part-time arrangements, job sharing, and compressed hours.
  • Wellbeing That Matters – Free access to Headspace and MeQuilibrium, plus dedicated wellness spaces to support your mental, physical, and emotional wellbeing.
  • Learn Without Limits – Access over 120,000 on-demand courses, alongside technical, project management, leadership, and professional development opportunities.
  • Work That Makes an Impact – Contribute to nationally significant projects that matter, solve complex challenges, and accelerate your career through unique growth opportunities.
  • Build Your Future – Whether you're deepening technical expertise or preparing for leadership, we'll invest in your development every step of the way.

Skills

Required

Nice to have

Apply on Leidos Australia