Senior Data Engineer

2 weeks ago


Brisbane, Queensland, Australia PM Consulting (Qld) Pty Ltd Full time

2 days ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

Working with our client, the Senior Data Engineer will be responsible for architecting and implementing robust data solutions on a contract basis. You will focus on building efficient data pipelines, ensuring data accessibility, and optimizing performance using SQL, Microsoft Fabric (Azure's unified analytics platform), and Python. This position is designed for an experienced professional who can hit the ground running, with an anticipated duration of 5 months (anticipated start on 29 th Sept – 27 February 2026)

Key Responsibilities

  • Develop and maintain scalable ETL processes using Python, integrating data from diverse sources.
  • Design and manage data architectures within Microsoft Fabric, including data lakes, pipelines, and analytics workspaces.
  • Craft advanced SQL queries to handle data extraction, transformation, and loading in large-scale databases.
  • Collaborate with data teams and stakeholders to translate business needs into technical data solutions.
  • Implement data quality checks, governance, and security measures to ensure compliance and reliability.
  • Optimise data workflows for performance, troubleshooting issues in real-time processing and batch jobs.
  • Integrate APIs, cloud services, and external data feeds into the ecosystem.
  • Provide documentation and knowledge transfer to support seamless handover at contract end.

Required Qualifications and Skills:

  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related discipline.
  • At least 5 years of data engineering experience, with 2+ years in a senior capacity.
  • Strong proficiency in SQL for complex querying, database design, and optimization (e.g., in Azure SQL or similar).
  • Extensive hands-on experience with Microsoft Fabric, encompassing Azure Data Factory, Synapse Analytics, and Power BI integrations.
  • Expertise in Python for data manipulation, automation, and scripting (utilizing libraries such as Pandas, NumPy, or Spark).
  • Solid knowledge of Azure cloud services and data engineering best practices.
  • Ability to work autonomously-, delivering results under deadlines.
  • Excellent analytical and communication skills for cross-team interactions.

Preferred Skills:

  • Experience with big data tools like Apache Spark or Databricks.
  • Familiarity with CI/CD pipelines, Git, and agile development.
  • Knowledge of additional Azure components, such as Blob Storage or Event Hubs.
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeContract
Job function
  • Job functionInformation Technology

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