Data Engineer Manager

1 week ago

City of Parramatta Council, Australia West Recruitment Pty Ltd Full time
Email:
Call:

West Sector:
Technology Job Summary
Not for profit organisation

  • Excellent salary and benefits
  • Flexible working
Job Description

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.

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