Senior Data Engineer


Senior Data Engineer

Job Details

  • Salary:
    $140k - $160k + Bonus & Benefits
  • Job Type:
  • Ref:
  • Date Posted:
  • Applications have closed
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Read on if you are an experienced Senior Data Engineer in Brisbane who is looking to:

  • Cutting-Edge Data Infrastructure: Shape cutting-edge data workflows with advanced tools.
  • Global Leader: Contribute to data excellence in a global telecom leader.
  • Diverse and Collaborative Environment: Thrive in a dynamic, collaborative space, shaping top-quality code.

Please note that this role requires full working rights and the ability to attend the Brisbane office at least a few days per week.


Emanate Technology has been engaged by a global leader in telecommunications to find a highly technical and experienced Senior Data Engineer for their dynamic team. The successful candidate will play a crucial role in designing, building, and optimising their data infrastructure, ensuring seamless integration and efficient data processing.

Key Responsibilities

  • Implement and manage data workflows using tools to ensure timely and reliable execution of data pipelines.
  • Integrate data from various sources, ensuring consistency, accuracy, and reliability in the data warehouse or data lake.
  • Demonstrate strong expertise in data warehousing concepts, ETL processes, and data integration techniques.
  • Optimise existing data processes, improving efficiency and scalability.
  • Deploy and optimise open-source solutions for data engineering tasks, leveraging flexibility and scalability.
  • Integrate diverse data sources, both structured and unstructured, into their data warehouse and data lake.
  • Establish coding standards and conduct thorough peer code reviews to ensure a high-quality, maintainable codebase.

Minimum Qualifications

  • Bachelor or Master’s Degree in relevant fields (e.g., Statistics, Computer Science, Data Science, etc.).
  • 7+ years of experience in Data Engineering.
  • Experience working in a Linux-based environment.
  • Familiarity with data pipeline orchestration tools such as Apache Airflow.
  • Proficiency in programming languages such as SQL, Python, Java, or Scala.
  • Familiarity with containerisation technologies, especially Docker.
  • Proficient in Big Data technology, skilled in ingesting vast amounts of data and ensuring scalability.
  • Excellent communication skills to effectively collaborate with business stakeholders and present findings and recommendations.
  • Independent problem-solver and team player.

Preferred Qualifications

  • 10+ years of experience in Data Engineering.