Not for profit organisation
Excellent salary and benefits
Flexible working
Our client based in Western Sydney is currently seeking a Data Engineering Manager to join their team on a permanent basis.
Role:
In this crucial position, you will lead and supervise multiple teams of engineers and developers to deliver outcomes focused on value that align with our clients mission.
Responsibilities:
Leadership and Team Management: Supervise the planning, scoping, and execution of D&A projects to ensure timely delivery within defined scope and budget. Implement agile methodologies to manage teams, cultivating an environment of adaptability and agility.
Data Strategy: Identify opportunities for impactful advanced analytics projects that optimize operations.
Data Governance and Data Quality: Work collaboratively with business stakeholders to uphold data governance policies and standards. Ensure the accuracy, integrity, and security of data.
End-to-End Delivery: Lead end-to-end delivery, ensuring adherence to data engineering principles and best practices. Develop and implement changes in the Snowflake/ADF platform using SQL, JavaScript, and Python.
CI/CD and Performance Optimization: Create CI/CD tooling to minimize downtime and avoid adverse impacts on data products. Optimize performance, prioritizing cases where the long-term benefits outweigh the costs.
Management of Enterprise D&A Solutions: Lead the management of enterprise D&A solutions in line with the Data and Analytics Strategy.
Team Leadership and Project Management: Lead and manage D&A data engineering teams and business SMEs, delivering tangible business value to Uniting. Manage the D&A development portfolio, including planning and leadership throughout the development lifecycle.
Organizational Value and Strategy: Enhance organizational value derived from data assets. Contribute to the enterprise data and analytics strategy in collaboration with leadership.
Continuous Improvement and Awareness: Stay informed about industry/technology/methodology trends. Ensure an excellent Staff Experience through effective relationship and quality management.
Qualifications:
Bachelor's degree in a relevant field or equivalent experience (preferably in Computer Science, Data Science, Statistics, Business Analytics, or a related field). A master's degree is preferred.
Experience:
- 8 or more years of experience in the field.
- Strong written and verbal communication skills.
- Experience in adapting to new tools or techniques related to data. Thorough understanding of data engineering principles.
Skills:
- Effective written and oral communication.
- Empathy and insight into understanding roles, pain points, and opportunities for data products.
- Proficient programming skills (JavaScript and/or Python).
- Strong SQL skills.
- Excellent business acumen and interpersonal skills.
- Solid grasp of data governance, data quality, and data management practices. - Proven data literacy.
Even Better:
Robust background in advanced analytics, machine learning, and data engineering.