Manager - Data and Analytics - Engineering Focus

- 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.