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1 week ago
Data Engineering Manager Position Summary:
- We are seeking a highly skilled Data Engineering Manager to lead our team in designing and implementing innovative data-centric solutions.
- Lead the development of cloud-native, event-driven microservices using Python, Java, or other backend technologies.
- Design and develop modern data platforms leveraging AWS, Google Cloud, Microsoft Azure, Databricks, or Snowflake.
- Mentor junior engineers in advanced SQL and database skills, as well as software development fundamentals.
- Collaborate with cross-functional teams to identify business opportunities and drive technical strategy.
- Stay up-to-date with emerging technologies and methodologies to ensure the team remains at the forefront of industry developments.
- 4-7 years of experience in Data and/or Software Engineering.
- Hands-on experience in Python, Java, or other backend technologies.
- Advanced SQL and database skills.
- Strong software development fundamentals, including version control, unit testing, and CI/CD practices.
- Solid understanding of data fundamentals, with experience in databases, data warehouses, data lakes, or other storage solutions.
- World-class training and development opportunities.
- Flexible work arrangements.
- Hands-on mentoring on emerging technologies.
We are a leading consulting firm specializing in Data and AI. Our team includes over 500 specialists across Australia, dedicated to combining business acumen and technological expertise to create data-centric solutions that solve complex problems and transform our clients' businesses.
We work with public and private sector clients to design and implement innovative solutions. From digital twins for transport networks, automation in vaccine rollouts, to sustainability initiatives, we are the partner of choice for our clients and vendors.
We are recognized leaders in Cloud, Data, Analytics, and AI. We have partnerships with top vendors like Amazon, Microsoft, Google, Apple, Snowflake, Salesforce, and Informatica.
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