Cloud Data Engineering Leader

5 days ago

Brisbane, Queensland, Australia beBeeDataEngineer Full time $80,000 - $85,000
Senior Data Engineer Job Description

Overview
We are seeking a highly skilled Senior Data Engineer to join our dynamic consultancy environment, delivering and optimizing enterprise data solutions. This role is ideal for a data professional with deep expertise in AWS and Databricks.

Key Responsibilities:
• Design, build, and optimize data pipelines and processing solutions using AWS and Databricks.
• Collaborate with stakeholders to understand requirements and deliver high-quality data solutions.
• Ensure platform scalability, security, and performance optimization.
• Support and mentor junior engineers, sharing best practices and technical guidance.
• Implement data governance and operational best practices to ensure reliability and compliance.
• Troubleshoot issues and provide technical expertise for incidents and problem resolution.
• Drive continuous improvement across tools, processes, and data engineering practices.

What Success Looks Like:
• Reliable, high-performing data pipelines and platforms with minimal downtime.
• Scalable solutions aligned with business and operational needs.
• Consistent delivery of high-quality, secure data solutions.
• Improved data engineering processes and team capability.

Required Skills and Qualifications:
• Proven experience as a Senior Data Engineer in an enterprise environment.
• Strong expertise in AWS Cloud Services and Databricks.
• Solid understanding of data pipelines, ETL processes, and modern data architectures.
• Experience with Python, SQL, and big data technologies.
• Strong problem-solving and debugging skills.
• Excellent collaboration and communication skills.
• Knowledge of data governance, compliance, and security best practices.

Benefits:

  • Cutting-edge cloud and data technologies on large-scale projects.
  • Opportunity to mentor and grow your technical leadership skills.
  • Supportive consultancy environment with strong career development pathways.
  • Exposure to diverse industries and enterprise-level data environments.
  • Hybrid working options for better work-life balance.

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