Data Integration Engineer – Build Scalable Pipelines

Leidos; City of Melbourne; Hybrid; AUD 110,000 - 180,000; Full time

Job summary

Leidos Australia is seeking a Data Integration Engineer to design, build and optimise scalable ETL/ELT pipelines across enterprise systems and cloud platforms. You will collaborate with architects and engineers to ensure data is accurate, accessible, and governed for decision making.

You will work with SQL, data warehouses/lakes, and modern data tools across Azure, AWS, and other cloud environments, contributing to CI/CD practices and data platform improvements.

Qualifications

• Experience in data integration, ETL/ELT development, data engineering, or a related technical discipline.
• Proficient in SQL and relational databases, data warehouses, or data lake environments.
• Experience with cloud data tools such as Azure/AWS/GCP data platforms.
• Knowledge of data transformation, lineage, governance and data quality practices.

Responsibilities

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

Skills

Data integration

ETL/ELT development

SQL

Data warehousing

Python/ PySpark

CI/CD & DevOps

Analytical thinking

Stakeholder communication

Education

Degree in Computer Science or Information Technology or Data Engineering

Tools

Azure Data Factory

Databricks

Microsoft Fabric

Azure Synapse

AWS Glue

Informatica

Snowflake

SSIS

Talend

Redshift

BigQuery

JSON/XML/CSV/Parquet/Avro

Power BI/Tableau

dbt

Kafka

Apache Spark

Job description

Leidos Australia is seeking a Data Integration Engineer to design, build and optimise scalable ETL/ELT pipelines across enterprise systems and cloud platforms. You will collaborate with architects and engineers to ensure data is accurate, accessible, and governed for decision making.

You will work with SQL, data warehouses/lakes, and modern data tools across Azure, AWS, and other cloud environments, contributing to CI/CD practices and data platform improvements.