Transforming Business Challenges into Data-Driven Solutions

2 weeks ago

Sydney, New South Wales, Australia beBeeDataInfrastructure Full time $120,000 - $180,000
Job Title: Data Infrastructure Specialist

We are seeking an accomplished data infrastructure specialist to join our community of solvers. This role will play a key driver in shaping data engineering strategies and delivering business value.

The successful candidate will partner with clients from diverse sectors, undertaking practical work with complex and diverse datasets, focusing on designing, building, maintaining, and enhancing scalable data pipelines and ensuring efficient data architecture.

This is an opportunity to convert business challenges into innovative data-driven solutions through collaboration with cross-functional teams.

Key Responsibilities:

  • Drive the strategic design and execution of robust, scalable data architecture, leveraging advanced ETL/ELT frameworks across distributed systems.
  • Spearhead integrations of complex data ecosystems, ensuring high reliability and performance for real-time processing across leading cloud platforms.
  • Architect high-quality, efficient data warehouse solutions using cutting-edge modelling techniques, optimizing storage and retrieval of big data.
  • Lead automation initiatives, overseeing integration of machine learning models into data workflows through efficient programming in Python and Spark.
  • Utilise industry knowledge and technical expertise to align data engineering practices with business objectives, maximising organisational impact and innovation.
  • Lead and mentor a team of data engineers, fostering innovation and excellence.
  • Strategically align data initiatives with business goals and collaborate with cross-functional teams.
  • Demonstrate leadership experience managing large-scale data engineering projects.

Requirements:

  • 5+ years of experience delivering data pipelines in a business environment.
  • Strong problem-solving abilities and analytical mindset.
  • Able to convey technical concepts clearly to non-technical stakeholders.
  • Able to work collaboratively in a team-oriented environment.
  • Proficient in Python programming.
  • Extensive experience with cloud platforms (AWS, Azure, GCP, Databricks or Snowflake).
  • Solid understanding of data engineering and pipelines (SQL, ETL/ELT, distributed systems), metadata driven data engineering, and orchestration services.
  • Proficient in big data technologies like Hadoop, Spark, and Kafka.
  • Able to work with metadata driven data engineering pipelines and tools such as jinja and DBT.

Benefits:

  • Work with leading organisations and cutting-edge technology to challenge and expand expertise.
  • Flexible work arrangements to balance work and personal life.
  • Clear paths for career progression supported by continuous learning and leadership development.
  • Generous leave entitlements including four weeks' annual leave and public holidays.
  • A world-class parental leave policy offering up to 26 weeks of leave for caregivers.

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