2 months ago
Canberra, AustraliaMid Level
Responsibilities
- Design, build, and optimise ETL/ELT pipelines across enterprise applications, databases, cloud platforms, data warehouses, and analytics environments.
- Develop reusable integration frameworks, transformation logic, validation processes, and monitoring capabilities.
- Deliver secure and scalable integration solutions for business initiatives, system implementations, data migrations, and platform upgrades.
- Collaborate with technical and business stakeholders to translate requirements into practical technical outcomes.
- Contribute to testing, automation, CI/CD practices, data quality, troubleshooting, and continuous improvement of the data platform.
Requirements
- Experience in data integration, ETL/ELT development, data engineering, or a related technical discipline.
- Experience with SQL, relational databases, data warehouses, and/or data lake environments.
- Experience with 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.
- Ability to develop integrations across APIs, web services, cloud platforms, databases, and JSON, XML, CSV, Parquet, and Avro formats.
- Knowledge of data transformation, mapping, validation, reconciliation, metadata, lineage, governance, and data quality practices.
- Experience with Microsoft Azure, AWS, or Google Cloud environments.
- Experience with Python, SQL, PySpark, Java, or similar programming and scripting technologies.
- Understanding of source control, CI/CD pipelines, DevOps practices, access controls, encryption, privacy requirements, and secure data management.
- Strong analytical, troubleshooting, problem-solving, communication, and stakeholder collaboration skills.
- Advantageous experience with Apache Spark, dbt, Kafka, real-time and event-driven integration, Infrastructure as Code, cloud automation, platform engineering, Power BI, Tableau, Agile, DevOps, or ITIL environments.
- A degree, diploma, or equivalent practical experience in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related discipline is advantageous; relevant technical certifications are also advantageous.
- Successful applicants must hold NV-1 Security Clearance.
Benefits
- Flexible work options including Life Days of up to 12 extra days off per year, part-time arrangements, job sharing, and compressed hours.
- Free access to Headspace and MeQuilibrium plus dedicated wellness spaces.
- Access to more than 120,000 on-demand learning courses and technical, project management, leadership, and professional development opportunities.
- Career development pathways, technical growth opportunities, and work on nationally significant projects.
- The role supports Australian Federal and State Government customers and requires NV-1 Security Clearance.
Tech Stack
Amazon RedshiftApache KafkaApache SparkAWSAzureDatabricksdbtGoogle BigQueryGoogle CloudInformaticaJavaPythonSnowflakeSQLTalend
Categories
Data Engineering
About Leidos
Leidos builds and operates technology and engineering solutions for defense, intelligence, civil, and health agencies, including systems integration, cyber, enterprise IT, sensors, and healthcare IT. It primarily sells through government contracts and long-term programs, plus managed services and mission software. Founded in 1969 and headquartered in Reston, Virginia, Leidos is a Fortune 500 public company on the NYSE; customers include U.S. defense and intelligence agencies and civil bodies such as the FAA.