Senior Data Engineer At Datonomy Solutions

Datonomy Solutions; Gauteng; On-site; ZAR 600 000 - 900 000; Full time

Job summary

A leading data solutions provider is looking for a Senior Data Engineer based in Centurion, Gauteng. The role involves designing and maintaining data pipelines, optimizing data quality, and collaborating with various stakeholders. Candidates should have 4-7 years of experience, proficiency in Python and SQL, and strong knowledge of cloud-based architectures, preferably AWS. This full-time position offers opportunities for technical leadership and mentorship within a dynamic IT environment.

Qualifications

• 4-7 years of hands-on data engineering experience.
• Ability to design, develop, and maintain complex data pipelines.
• Experience in leading automation and CI/CD initiatives.

Responsibilities

• Design and maintain data pipelines from multiple sources.
• Optimize data flows and quality checks.
• Collaborate with various stakeholders to translate requirements.

Skills

Advanced proficiency in Python

Advanced proficiency in SQL

Database design knowledge

Data warehousing techniques

Cloud-based data architecture experience (AWS preferred)

Education

Degree or diploma in Computer Science, Information Systems, Engineering, or a related field

Job description

Senior Data Engineer at Datonomy Solutions

We are seeking a Senior Data Engineer to join our team based in Centurion. Onsite, contract.

Role Requirements

• Degree or diploma in Computer Science, Information Systems, Engineering, or a related field.
• 4-7 years of hands‑on data engineering experience.
• Advanced proficiency in Python and SQL.
• Strong database design knowledge and experience with data warehousing techniques and modelling approaches.
• Experience building and maintaining cloud‑based data architecture (AWS preferred).

Data Engineering & Pipeline Development

• Design, develop and maintain complex data pipelines from multiple sources into a central data platform / lakehouse.
• Ensure reliability, scalability, and maintainability of pipelines.
• Optimize data flows and data quality checks.

Data Platform Design & Maintenance

• Contribute to the architectural design and enhancements of the data platform.
• Support the implementation of cloud‑first data solutions, primarily in AWS.
• Lead initiatives for automation, monitoring, and CI / CD for data engineering workflows.

Technical Leadership & Mentorship

• Provide technical guidance and mentorship to Data Engineers.
• Advocate for best practices in data engineering, including version control, testing, and documentation.
• Conduct code reviews and support knowledge sharing across the team.

Stakeholder Collaboration

• Collaborate with data scientists, analysts, software engineers, and business stakeholders.
• Translate business requirements into technical specifications and deliverables.
• Support data consumers by developing reports, data products, and self‑service solutions.

Profile Summary

Seniority level: Mid‑Senior level | Employment type: Full‑time | Job function: Information Technology | Industries: IT Services and IT Consulting