Data Engineer - Azure Opportunities with Outstaffer

Location: Sydney | Melbourne | Brisbane (Remote / Hybrid Options)

Australia-based applicants with unrestricted or valid work rights only

Type: Full-Time | Contract or Permanent | Multiple Client Roles Available

About Outstaffer

Outstaffer helps global companies find, hire, and manage exceptional talent anywhere in the world. As a trusted Employer of Record (EOR) and staffing partner, we connect high-performing professionals with leading businesses that value innovation, agility, and expertise.

Within our Technology Practice, we partner with some of the world’s most forward-thinking organizations to build and scale their data capabilities. From startups to enterprise clients, our partners rely on us to find and support top Data Engineers who can turn complex data challenges into actionable insights.

About the Opportunity

We are continuously growing our network of skilled Data Engineering professionals to match with upcoming projects and permanent roles across our client base. If you’re passionate about data architecture, scalable pipelines, and cloud-based solutions, we’d love to get to know you.

When you join the Outstaffer talent community, you’ll gain access to opportunities across industries and regions, all with companies that share our commitment to excellence and innovation in data engineering.

Experience We Value

Design, build, and maintain scalable data pipelines and ETL/ELT processes.
Develop and optimize cloud data architectures using Azure services (Data Factory, Synapse, Data Lake).
Lead data integration projects, system migrations, and implementation of new data systems.
Ensure data quality, reliability, and performance across systems.
Collaborate with analysts, data scientists, and business teams to deliver insights.
Implement data governance, security, and best practices.

Skills & Experience Our Clients Need

Minimum 3 years of experience as a Data Engineer or similar role.
Strong hands-on experience with Azure data services (Data Factory, Synapse, Data Lake).
Proven experience in data integration, migration projects, and implementing new systems.
Proficient in SQL, Python, or PySpark.
Experience in data modeling and ETL frameworks.
Strong analytical and problem-solving skills.

Nice to Have

Experience with CI/CD pipelines, Docker, or Kubernetes.
Knowledge of big data tools (Databricks, Spark).
Familiarity with data visualization tools (Power BI, Tableau).

What We Offer

Access to multiple Australian client projects.
Flexible remote or hybrid work setup.
Opportunities for contract or permanent roles.
Career growth and professional development.
Competitive pay.
Join a global community of data professionals.

Azure Data Engineer