Lead Data Engineer Global Grade 12
✨ AI Summary
Barloworld Equipment, an industrial equipment company, is hiring a Lead Data Engineer based in Isando, South Africa. The role focuses on designing scalable data pipelines and platforms using Azure Synapse, Snowflake, SQL, Python, and Spark. Candidates require extensive production data engineering experience, advanced SQL and Python skills, and a demonstrated ability to provide technical leadership and mentorship.
Position outputs
The Lead Data Engineer is responsible for the hands-on delivery of complex, production grade data engineering solutions, while providing technical leadership, standards, and quality assurance across the data engineering team. The role ensures that all data pipelines, platforms, and models are scalable, secure, well architected, and aligned to enterprise data strategy and governance, while mentoring engineers and driving engineering excellence.
• Lead the design, development, and optimisation of scalable data pipelines and platforms
• Provide technical leadership and act as the final escalation point for complex data engineering decisions
• Define, document, and enforce data engineering standards, patterns, and best practices
• Ensure high quality, reliable, and cost‑efficient data solutions
• Mentor and coach data engineers through code reviews, design sessions, and technical guidance
• Ensure data solutions comply with security, governance, privacy, and architectural standards
• Collaborate closely with analytics, BI, platform, and business stakeholders
• Translate functional requirements to high level design and build technical specifications documents
• Robust, scalable Azure Synapse and Snowflake‑based data pipelines
• High‑quality, maintainable SQL, Python, and Spark code
• Documented engineering standards and architectural patterns
• Improved platform stability, performance, and cost efficiency
• Uplifted data engineering capability and consistency across the team
• Trusted, production‑ready datasets supporting analytics and decision‑making.
Minimum Required Qualification:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
(Equivalent practical experience considered)
Minimum Required Experience:
• Extensive hands‑on experience in production data engineering environments.
• Proven experience designing and supporting data warehouses, lakehouses, or analytics platforms.
• Strong experience with Azure Fabric and/or Snowflake with a preference towards Snowflake.
• Experience with CI/CD, Git, and automated data pipelines.
Minimum Required Competencies:
• Advanced SQL and strong Python skills.
• Strong data modelling and performance optimisation capability.
• Technical leadership and mentoring skills.
• Architectural thinking and problem‑solving ability.
• Strong stakeholder communication and collaboration skills.
• High standards for quality, reliability, and governance.
About the Company
Build your career at Barloworld Equipment, the sole dealer for Cat® earthmoving machines and related mining and construction equipment in southern Africa.
EMPOWERMENT & TRANSFORMATION
Barloworld Limited announced its broad-based black economic empowerment (BBBEE) transaction in 2008. The transaction included shareholdings for employees, community service groups, an education trust and strategic black partners. This translated into an effective 29% empowerment of Barloworld’s South African operations.
The allocation of shares to South African employees has the important spin-off of improved staff retention and loyalty, with corresponding benefits for customers.
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