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Data Engineer

2 months ago

City of Boroondara, Australia Michael Page Australia Full time
About Our Client

Our client is a leading retail company in Australia, providing a wide range of products and services to millions of customers. With a strong presence across the country, they have a reputation for excellence in their industry.

**Company Culture**

The company has a fantastic team culture, with a customer-driven approach and a focus on goals and values. They are looking for a highly skilled Data Engineer who can hit the ground running and add value to their highly motivated team.

Job Description

We are seeking a highly skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have broad experience in data engineering, particularly in Azure and PySpark-based data engineering applications.

Key Responsibilities
  1. Design and Development: Design, construct, install, test, and maintain highly scalable data management systems.
  2. Data Pipelines: Develop and implement data pipelines in Azure Data Factory (ADF).
  3. Real-Time Data Streaming: Implement complex, scalable, and robust architecture to support real-time data streaming using Spark.
  4. Collaboration: Work closely with data science and engineering teams to provide direct and indirect data-related support.
  5. System Integration: Ensure systems meet business requirements and industry practices.
  6. Technology Integration: Integrate up-and-coming data management and software engineering technologies into existing data structures.
  7. Data Analytics: Develop set processes for data mining, data modeling, and data production.
  8. Custom Software Development: Create custom software components and analytics applications.
  9. Research and Development: Research new uses for existing data.
The Successful Applicant
  • Experience: Strong experience in data engineering with a strong track record in Azure and PySpark applications.
  • Technical Skills: Proficient in designing and maintaining scalable data systems, developing data pipelines with Azure Data Factory, and implementing real-time streaming with Spark.
  • Problem-Solving: Excellent analytical and troubleshooting skills, with the ability to optimize data processes and integrate new technologies.
  • Collaboration: Proven ability to work effectively with data science and engineering teams to meet data requirements and support business needs.
  • Adaptability: Experience with emerging data management technologies and a knack for developing innovative solutions.
  • Communication: Strong communication skills to clearly articulate technical concepts and collaborate with cross-functional teams.
What's on Offer
  • Flexible Work Arrangements: Enjoy a hybrid work model with the flexibility to work from home and occasional office visits.
  • Competitive Rate: Up to $1,100/day incl. super for a 6-month contract.
  • Career Development: Opportunity to work on high-impact projects and advance your career in a leading data-centric role.
  • Inclusive Culture: A commitment to a diverse and inclusive workplace with ongoing DEI initiatives.
  • On-site Amenities: On-site cafe and fitness club facilities.