Manager - Data and Analytics - Engineering Focus

vor 4 Wochen

Sydney, Österreich West Recruitment Vollzeit
Not for profit organisation

Excellent salary and benefits

Flexible working


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 client's mission.


Responsibilities:
  1. 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.
  2. Data Strategy:
    • Identify opportunities for impactful advanced analytics projects that optimize operations.
  3. 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.
  4. 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.
  5. 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.
  6. Management of Enterprise D&A Solutions:
    • Lead the management of enterprise D&A solutions in line with the Data and Analytics Strategy.
  7. 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.
  8. Organizational Value and Strategy:
    • Enhance organizational value derived from data assets.
    • Contribute to the enterprise data and analytics strategy in collaboration with leadership.
  9. 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.

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