Mid-Level Data Engineer

4 days ago

Sydney, New South Wales, Australia beBeeData Full time

As a mid-level Data Engineer, you will play a pivotal role in shaping our data infrastructure and engineering strategies.

You will work with diverse datasets, focusing on designing, building, maintaining, and enhancing scalable data pipelines to ensure efficient data architecture. Your expertise will be crucial in converting business challenges into innovative data-driven solutions through collaboration with cross-functional teams.

We value bold ideas, collaboration, and lasting change. Our team of experts works together to build trust and shape the future.

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.
Requirements
  • Experience: 5+ years of experience delivering data pipelines in a business environment.
  • Analytical Skills: Strong problem-solving abilities and a keen analytical mindset.
  • Communication Skills: Ability to convey technical concepts clearly to non-technical stakeholders.
  • Team Player: Ability to work collaboratively in a team-oriented environment.
  • Technical skills:
  • Strong programming skills in Python.
  • 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.
  • Proficiency in big data technologies like Hadoop, Spark, and Kafka.
  • Ability to work with metadata driven data engineering pipelines and tools such as jinja and DBT.
Benefits
  • The opportunity to work with leading organisations and cutting-edge technology that challenge and expand your expertise.
  • Flexibility means trusting you to choose when, where, and how you work—balancing what's best for you, your team, and your clients to grow and thrive together.
  • Clear paths for career progression supported by continuous learning and leadership development.
  • Generous leave entitlements including four weeks' annual leave and float public holidays to support your work-life balance.
  • A world-class parental leave policy offering up to 26 weeks of leave for caregivers, supporting your family and personal life.

We are committed to treating all our job applicants fairly and with respect, irrespective of their actual or assumed background, disability, neurodivergence, or any other protected characteristic. We want you to have every opportunity to thrive in our selection process.

This is an exciting opportunity for a motivated and experienced Data Engineer to join our team and contribute to driving business outcomes through data-driven insights.

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