Lead Data Engineer Global Grade 12

Barloworld Equipment; Hilton Head Island (SC); Presencial; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

Barloworld Equipment is seeking a Lead Data Engineer to deliver production-grade data solutions and provide technical leadership across the team. You will design scalable pipelines, mentor engineers, and ensure compliance with governance standards.

Collaboration with analytics, BI, and stakeholders is essential to align with enterprise data strategy. The role emphasizes hands-on development with Azure Synapse and Snowflake, strong SQL/Python coding, and a focus on reliability, cost efficiency,

Qualificações

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• Advanced SQL and Python required; data modelling and performance optimisation expertise.
• Strong leadership and mentoring abilities; architectural thinking and problem-solving.
• Excellent stakeholder communication and collaboration skills; governance and quality focus.
• Experience with CI/CD, Git, and automated data pipelines.
• Hands-on production data engineering experience; design and support data warehouses/platforms.

Responsabilidades

• Lead design, development, and optimization of scalable data pipelines and platforms.
• Provide technical leadership and escalate complex data engineering decisions.
• Define, document, and enforce data engineering standards and patterns.
• Ensure high-quality, reliable, and cost-efficient data solutions.
• Mentor engineers through code reviews and design sessions.
• Ensure solutions comply with security, governance, and architectural standards.
• Collaborate with analytics, BI, platform, and business stakeholders.
• Translate requirements into high-level design and technical specs.
• Build robust Azure Synapse and Snowflake pipelines.
• Maintain high-quality SQL, Python, and Spark code.

Conhecimentos

Advanced SQL

Python

Data modelling

Performance optimisation

Technical leadership

Mentoring

Architectural thinking

Stakeholder collaboration

Quality & governance

Formação académica

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field

Ferramentas

Azure Fabric

Snowflake

CI/CD

Git

Descrição da oferta de emprego

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.

(Equivalent practical experience considered)

Minimum Required Qualification

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field

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.