Head of Data Engineering

2 weeks ago


Durban, KwaZulu-Natal, South Africa GBS Full time
Job title : Head of Data EngineeringJob Location : KwaZulu-Natal, DurbanDeadline : April 07, 2025Quick Recommended Links
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Your Mission:

Leadership & Strategy:

  • Craft and implement a forward-thinking strategy for our data engineering initiatives.
  • Lead, mentor, and guide a team of data engineers, ensuring projects are delivered on time.
  • Partner with cross-functional teams to seamlessly integrate data solutions into our business.

Data Infrastructure & Analytics:

  • Oversee the migration of our data infrastructure to the cloud, enhancing performance and reliability.
  • Design and maintain our data warehouse, ensuring it operates at peak efficiency.
  • Optimize ETL processes and solutions for real-time analytics.
  • Manage all reporting deliverables with precision.

Cloud Architecture Expertise:

  • Administer our Azure data ecosystem, championing best practices.
  • Utilize Azure Synapse for cutting-edge analytics and data exploration.
  • Propel the implementation of self-service data provisioning across the organization.

Data Governance & Compliance:

  • Safeguard data integrity, security, and regulatory compliance.
  • Cultivate a culture that emphasizes data quality.

Stakeholder Engagement:

  • Collaborate with business stakeholders to identify and prioritize data needs.
  • Translate complex data concepts into clear, engaging communication for non-technical stakeholders.

What We Need from You:

  • A degree in Computer Science, Engineering, or a related field.
  • 3 to 5 years experience managing a data team, including data engineers, analysts, and BI specialists.
  • Extensive experience in BI reporting and data engineering.
  • 5 to 7 years of hands-on experience with database technologies, including RDBMS (MS SQL, MySQL, Postgres) and NoSQL (MongoDB, Cosmos, Redis).
  • Proficiency with search platforms like Elasticsearch or ELK, and experience with SQL, Python, and R.
  • Specialized knowledge in cloud systems, especially data services, with strong experience in data analytics, ETL processes, and data warehousing.
  • Expertise in Azure Synapse and cloud-centric data strategies.
  • Experience in a call center environment is a bonus.
  • Familiarity with other cloud platforms and big data tools is a plus.
  • Certifications in Azure or related technologies are advantageous.
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