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Automotive Data Specialist

2 weeks ago

Sydney, New South Wales, Australia beBeeDataEngineer Full time $150,000 - $170,000

About Us

At our organisation, we're shaping the future of automotive in Australia. Our mission is to provide authoritative reviews and innovative commerce solutions.

The Role

This is a hands-on position where you'll play both architect and operator, designing systems that can handle diverse data types while ensuring reliability and performance at scale.

You will work collaboratively with teams, engineers, and stakeholders to create flexible, scalable, and efficient data models, write efficient queries, and troubleshoot performance issues in production environments.

Responsibilities

  1. Create data models that cater to diverse analytical and processing requirements.
  2. Design systems that scale and adapt to schema drift, late-arriving data, or inconsistent input format.
  3. Create self-service capabilities for business users while maintaining enterprise-grade security and governance standards.
  4. Establish standards and automated processes to ensure data maintains accuracy, completeness, and consistency throughout its lifecycle.
  5. Implement multi-layered security measures including encryption, access controls, and continuous monitoring to protect sensitive data.
  6. Apply infrastructure as code principles and tools like Terraform to manage cloud resources programmatically, ensuring reproducible deployments and consistent environments.
  7. Apply window functions, common table expressions, and query optimization techniques to improve performance.
  8. Design storage and compute strategies that balance cost, performance, and compliance, integrating cloud-native data solutions with legacy systems.

Qualifications

  • Bachelor's degree in computer science, information technology, or a related field.
  • 5+ years of experience in data engineering, with a strong focus on data modelling, aggregation, and business intelligence.
  • Proven ability to design and build efficient data models within a data warehouse environment.
  • Strong understanding of data warehousing principles and dimensional modelling.
  • Expert-level SQL skills for complex data manipulation, querying, and aggregation.
  • Excellent communication skills to translate business needs into technical data solutions.
  • A proactive, detail-oriented mindset with a focus on data accuracy and integrity.

Benefits

We offer flexible work options, a safe, respectful and inclusive environment, and opportunities for career growth and development.

How We Work

We value diversity and inclusion, and welcome applications from people of all ages, genders, nationalities, backgrounds and cultures.

Nice-to-Haves

Experience with Vector Databases and RAG; Tableau; Snowflake.

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