MelbourneFull-time$150,000 - $200,000 / Year ($12,500 - $16,667 / Month)
Job Description
As a Data Engineering Manager, you will be pivotal in shaping our data infrastructure. You will manage a team of engineers, spearheading innovative projects and enhancing our data capabilities to support business objectives.
Responsibilities
Develop and oversee data engineering projects, ensuring alignment with organisational objectives.
Mentor and support team members in their professional development.
Establish and enforce data governance practices to ensure compliance with legal standards.
Conduct regular audits of data quality and integrity.
Utilise emerging technologies to enhance data processing capabilities.
Facilitate effective communication between technical and non-technical teams.
Identify key performance indicators (KPIs) for team evaluation and success measurement.
Requirements
Education
Bachelor's degree in Computer Science or related field
Master's degree in Data Science or Operations Management is preferred
Experience
8+ years of experience in managing data engineering teams or projects
Technical Skills
Big Data Technologies
Data Analytics
Machine Learning
Soft Skills
Problem-solving
Time Management
Certifications
Google Professional Data Engineer
Certified Data Scientist (CDS)
Languages
English: Fluent
Advantageous
Experience with AI and ML projects: Practical experience in implementing AI and machine learning solutions.
Familiarity with Agile Methodologies: Experience working in agile environments to expedite project delivery.
Benefits
Generous leave entitlements
Retirement savings plans
Access to learning resources and courses
Team-building events and activities
Company Culture
Collaborative Environment: Our culture promotes collaboration and teamwork to achieve shared goals.
Continuous Learning: We invest in ongoing training and development to help employees reach their potential.
Open Communication: We value transparency and encourage open dialogue across all levels of the organization.
Status: Closed
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