Data Engineering Lead (JHB/DBN)

Ecogra; Johannesburg; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading data solutions firm in Johannesburg seeks a skilled Data Engineering Lead to design and optimise data infrastructure. The role involves leading the development of data pipelines, collaborating with cross-functional teams, and ensuring data integrity. Ideal candidates have a relevant degree along with 3 to 5 years of professional data analysis experience. This position offers an opportunity to drive data-driven transformation within the organisation.

Qualifications

• 3 - 5 years’ relevant data analysis experience in a professional working environment.

Responsibilities

• Lead the development, maintenance, and optimisation of data pipelines.
• Design and implement scalable data architectures.
• Work with cross-functional teams to understand data needs.
• Mentor and support junior engineers and analysts.
• Evaluate and implement new tools to enhance the data platform.
• Ensure data security, compliance, and integrity.

Skills

Data pipeline development

Data architecture design

Analytics automation

Mentoring

Cross-functional collaboration

Education

Mathematics/Science/Commerce/IT Degree (NQF Level 7)

Job description

About the Role

We are looking for a highly skilled Data Engineering Lead to drive the design, development, and optimisation of our data infrastructure as we scale our analytics and automation capabilities across the organisation. This is a key leadership role responsible for building robust data pipelines, shaping our data architecture, and ensuring the business has reliable, high-quality data to support operational, analytical, and strategic decision-making.

The ideal candidate combines strong technical expertise with leadership ability, thrives in a fast-paced environment, and is passionate about enabling data-driven transformation.

Key responsibilities:

• Lead the development, maintenance, and optimisation of data pipelines, workflows, and integrations across multiple systems.
• Design and implement scalable data architectures to support reporting, analytics, automation, and operational insights.
• Work closely with cross-functional teams to understand data needs and deliver solutions that improve visibility, efficiency, and performance.
• Mentor and support junior engineers and analysts, fostering a culture of high-quality engineering and continuous improvement.
• Evaluate and implement new tools, technologies, and processes to enhance the data platform and accelerate delivery.
• Ensure data security, compliance, and integrity across all systems and processes.

Experience and Qualification required:

• Mathematics/Science/Commerce/IT Degree (NQF Level 7), or equivalent, if substantiated by valid evidence of competency.
• 3 - 5 years’ relevant data analysis experience in a professional working environment.