Senior Manager - Data Transformation

Scyne Advisory Pty; Canberra; On-site; AUD 110,000 - 160,000; Full time

Job summary

Leidos Australia is seeking a Data Integration Engineer to design and deliver scalable data integration solutions. You will collaborate with architects, engineers, and stakeholders to ensure data is accessible, reliable, and fit for decision making.

You will design, build, and optimise ETL/ELT pipelines, develop reusable frameworks, and support data migrations and platform upgrades with secure, scalable integration solutions.

Qualifications

• Experience in data integration, ETL/ELT development, data engineering, or a related technical discipline.

Responsibilities

• Design, build, and optimise ETL/ELT pipelines across enterprise apps and data warehouses.
• Develop reusable integration frameworks, transformations, and monitoring capabilities.
• Support new initiatives and migrations with secure, scalable integration solutions.
• Collaborate with stakeholders to translate requirements into technical outcomes and CI/CD practices.

Skills

Data integration

ETL/ELT development

SQL & relational databases

Cloud platforms (Azure, AWS, GCP)

Python / PySpark / Java

CI/CD / DevOps practices

Data quality & governance

Stakeholder communication

Education

Degree or equivalent in CS/IT/Data Engineering

Tools

Azure Data Factory

Databricks

Microsoft Fabric

Azure Synapse

AWS Glue

Informatica

Snowflake

SSIS

Talend

Redshift

BigQuery

Job description

At Leidos Australia, our work goes beyond a job title. We design, build, operate and support the systems, services and capabilities that help protect and advance the Australian way of life.

Backed by a global organisation of more than 40,000 people, our Australian team of around 2,000 has partnered with government, defence and national security customers for more than 30 years. We deliver mission‑critical solutions where reliability, trust and purpose matter.

Leidos is a destination for people who want their work to have purpose, their contribution to be recognised, and their career to grow without needing to fit a single mould. Meaningful work is supported by benefits, flexibility and career pathways that help you grow while balancing life outside work. This includes:

• 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.
• And Much More – These are just a few of the ways we invest in our people and help them thrive.

You’ll join a team where people work with integrity, inclusion, innovation, agility, collaboration and commitment. In practice, that means sharing ownership, solving complex problems together and staying connected to the customer context, the purpose behind the work and how each role contributes to meaningful outcomes.

The Opportunity

As a Data Integration Engineer, you will play a key role in enabling trusted, high‑quality data across the organisation by designing and delivering scalable integration solutions that connect systems, platforms, and business functions. Working closely with architects, engineers, analysts, and stakeholders, you will help ensure data is accessible, reliable, and fit for decision making.

• 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.

About You

You are a data integration professional who enjoys solving complex data challenges and delivering reliable solutions that help organisations make better decisions. You bring a practical approach to integration design, a focus on data quality, and the ability to work collaboratively across technical and business teams.

• 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.

Advantageous

• Experience with Apache Spark, dbt, Kafka, or other modern data transformation and event‑streaming technologies.
• Knowledge of real‑time and event‑driven integration patterns.
• Familiarity with Infrastructure as Code, cloud automation, and platform engineering practices.
• Exposure to analytics and visualisation platforms such as Power BI or Tableau.
• Experience working within Agile, DevOps, or ITIL delivery environments.
• A degree, diploma, or equivalent practical experience in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related discipline.
• Relevant certifications in cloud technologies, data engineering, database platforms, or integration technologies.

This role requires the successful applicant to hold a NV-1 Security Clearance.

What to Expect When You Apply

• An initial conversation with our Talent Acquisition team
• An interview with the hiring manager or interview panel
• Any role‑specific assessment, technical discussion or customer step required for the position

Applications close Monday 26 October 2026.