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Data Engineering Manager

MAP TALENT, Technology, Australia

MAP TALENT, a leading technology company in Australia, is seeking a Data Engineering Manager to join their dynamic team in Sydney. As a hands-on leader with expertise in AWS, Redshift, Glue, and Python, you will have the opportunity to lead a high-performing Data team while managing a DevOps team. This role offers the chance to work at the intersection of DevOps and Data Engineering, driving innovation and efficiency in data architecture and analytics solutions.

As the Data Engineering Manager, you will be responsible for leading and mentoring a team of data engineers, providing technical direction and career development. You will stay hands-on in designing, building, and optimizing scalable data pipelines and platforms. Collaboration with cross-functional teams to deliver high-impact data solutions will be a key part of your role. Your proven leadership experience in managing and mentoring data engineers, coupled with strong expertise in AWS (Redshift, Glue), and Python for large-scale data processing will be essential for success in this position.

In return for your skills and expertise, MAP TALENT offers a competitive salary ranging from $200,000 to $220,000 base plus Superannuation (Super) and Short-Term Incentive (STI) bonus. This leadership role provides an opportunity to work on cutting-edge cloud and data engineering projects with significant impact while staying close to the technology as you drive a high-performing team. If you are looking for a challenging yet rewarding role that allows you to balance technical depth with leadership responsibilities, then this position is ideal for you. Apply now to be part of an innovative company that values excellence in data engineering management.

Key Job Requirements:
  • Proven leadership experience in managing and mentoring data engineers
  • Experience with AWS (Redshift, Glue) and Python for large-scale data processing
  • Hands-on technical expertise in cloud-based data infrastructure
  • Strong expertise in AWS (Redshift, Glue) and Python for large-scale data processing
  • Ability to balance technical depth and leadership responsibilities
Key Job Responsibilities:
  • Lead and mentor a team of data engineers, providing technical direction and career development
  • Stay hands-on in designing, building, and optimizing scalable data pipelines and platforms
  • Drive innovation and efficiency in data architecture and analytics solutions
  • Collaborate with cross-functional teams to deliver high-impact data solutions
Skills:
  • AWS
  • Redshift
  • Glue
  • Python
  • Data Engineering

Seniority Level: Middle Management

Job Functions: Technology

  • Data Engineering
  • DevOps

Industries : Technology

  • Cloud Computing
  • Data Analytics

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