Head of Data Engineering

6 days ago


Pretoria, Gauteng, South Africa HR Genie Full time
About the Role

We are seeking a highly skilled and experienced Head of Data Engineering to join our team at HR Genie. As a key member of our organization, you will be responsible for driving the development and implementation of our data engineering strategy, ensuring the delivery of high-quality data solutions that meet the needs of our business.

Key Responsibilities
  • Develop and Implement Data Strategy
    • Design and implement a comprehensive data strategy that aligns with our business goals and objectives.
    • Develop and maintain data architecture, ensuring data quality, integrity, and security.
  • Lead Data Engineering Team
    • Lead and manage a team of data engineers, providing guidance and support to ensure the successful delivery of data projects.
    • Collaborate with cross-functional teams to understand business needs and drive data-driven solutions.
  • Evaluate Emerging Technologies
    • Evaluate and recommend emerging technologies, tools, and platforms to enhance our data infrastructure, scalability, and performance.
    • Stay up-to-date with industry trends and developments in data engineering and analytics, assessing their potential impact on our data strategy and capabilities.
  • Establish External Partnerships
    • Establish and maintain relationships with external partners, vendors, and stakeholders to support data-related initiatives and partnerships.
    • Collaborate with external partners to co-develop and integrate data-related solutions that meet business needs and drive innovation.
  • Drive Data Quality and Governance
    • Drive initiatives for data quality, governance, and security, ensuring data integrity, privacy, and compliance with regulatory requirements.
    • Implement controls and safeguards to mitigate risks and protect sensitive information, maintaining the trust and confidence of our customers, partners, and stakeholders.
  • Lead Budgeting and Resource Allocation
    • Lead budgeting and resource allocation for data engineering projects and initiatives, ensuring alignment with strategic priorities and maximizing return on investment.
    • Manage resources effectively to ensure timely delivery of data solutions and initiatives within budget constraints.
  • Innovation in Data Analytics
    • Coordinate innovation in data analytics, machine learning, and artificial intelligence to unlock insights and drive business value.
    • Champion experimentation and exploration of new tools, methodologies, and best practices to drive continuous improvement in data analytics capabilities.


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