Mid-Senior Level Data Engineering Role

4 days ago

Melbourne, Victoria, Australia beBeeDataEngineering Full time $120,000 - $180,000

Are you looking for a challenging role in data engineering?

Job Description:
  • This is an exciting opportunity to join a dynamic team as a mid-senior level data engineer. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures.
  • You will work closely with cross-functional teams to translate business challenges into data-driven solutions.
Key Responsibilities:
  • Lead the architecture and implementation of scalable, high-performance data pipelines.
  • Manage complex data integration from various sources and ensure real-time data flow and reliability across cloud platforms.
  • Design and optimize data warehouse solutions with advanced modelling for structured and unstructured data.
  • Oversee automation and monitoring of data workflows using Python, Scala, and Kubernetes.
Requirements:Skills and Qualifications:
  • 4+ years delivering data pipelines in a business environment.
  • Strong analytical skills and problem-solving mindset.
  • Ability to communicate technical concepts to non-technical stakeholders.
  • Team player with ability to work collaboratively.
Technical Skills:
  • Strong programming in Python.
  • Extensive experience with cloud platforms (AWS, Azure, GCP, Databricks or Snowflake).
  • Solid understanding of data engineering concepts (SQL, ETL/ELT, distributed systems, metadata-driven data engineering, orchestration).
  • Proficiency with big data technologies like Hadoop, Spark, Kafka.
What We Offer:Benefits:
  • Opportunity to work with cutting-edge technology.
  • Flexible work arrangements to balance work and life.
  • Clear career progression with continuous learning and leadership development.
  • Generous leave entitlements including four weeks' annual leave and flexible public holidays.
  • Parental leave policy offering up to 26 weeks for caregivers.

Join our organization and make a lasting impact as a Data Engineer.

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