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Data Engineer - Azure

3-5 Years
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Job Description

Data Engineer Azure Opportunities at Outstaffer

Location: Philippines (must be currently residing in the Philippines)

Employment Type: Full-Time | Contract or Permanent

Multiple roles supporting Australian clients (fully remote)

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 from the Philippines with leading international businesses.

Within our Technology Practice, we support some of Australia's most forward-thinking organisations as they scale their data and cloud capabilities. Our clientsranging from startups to large enterprisesdepend on us to provide skilled Data Engineers who can transform complex data challenges into reliable, high-performing solutions.

About the Opportunity

We are expanding our network of experienced Data Engineers for upcoming contract and permanent roles with our Australian clients. If you're passionate about cloud data architecture, scalable pipelines, and end-to-end data engineering, we want to meet you.

By joining the Outstaffer talent community, you gain access to multiple opportunities across industriesworking fully remotely from the Philippines.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL/ELT processes.
  • Develop and optimise cloud data architectures using Azure services (Data Factory, Synapse, Data Lake).
  • Lead data integration, migration, and new system implementation projects.
  • Ensure data quality, reliability, and performance across platforms.
  • Collaborate with analysts, data scientists, and cross-functional teams.
  • Implement data governance, security protocols, and best practices.

Skills & Experience Our Australian Clients Look For

  • Minimum 3 years of experience as a Data Engineer or related role.
  • Strong hands-on experience with Azure Data Factory, Synapse, Data Lake, and other Azure services.
  • Proven experience in data integration, migration, and building new data systems.
  • Proficiency in SQL, Python, and/or PySpark.
  • Experience with data modelling and ETL/ELT frameworks.
  • Excellent analytical, troubleshooting, and problem-solving skills.

Nice to Have

  • Experience with CI/CD pipelines and containerization (Docker, Kubernetes).
  • Knowledge of big data tools such as Spark or Databricks.
  • Familiarity with BI and analytics tools (Power BI, Tableau).

What We Offer

  • Fully remote work with Australian clients.
  • Opportunities for both contract and permanent roles.
  • Competitive compensation.
  • Career growth and ongoing professional development.
  • A global community of data and cloud engineering professionals.

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About Company

Job ID: 135141507

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