Senior Data Engineer

Recruit Digital; Johannesburg; Hybrid; ZAR 900,000 - 1,200,000; Full time

Job summary

A leading tech recruitment agency is seeking an experienced Senior Data Engineer in Johannesburg. You will design scalable data pipelines and optimize API-driven data integrations while collaborating with cross-functional teams. The role requires 7+ years of experience in data engineering with expertise in Python and SQL. Enjoy a hybrid working environment, continuous professional development support, and a collaborative team culture.

Benefits

Support for continuous development

Flexible working hours

Collaborative team environment

Family-first policies

Qualifications

• 7+ years’ experience in data engineering or related fields focused on ETL solutions.
• Strong knowledge in Python and SQL.
• Experience with cloud platforms like AWS, GCP, or Azure.

Responsibilities

• Design and maintain scalable data pipelines and ETL workflows.
• Develop and optimize API-driven data integrations.
• Collaborate with engineers and analysts to translate requirements.

Skills

Python

SQL

Data engineering

RESTful APIs

Cloud platforms (AWS, GCP, Azure)

Containerization (Docker, Kubernetes)

Git-based version control

CI/CD workflows

Tools

Terraform

Helm

Job description

Overview

Senior Data Engineer

Johannesburg | Full-time (Hybrid) | Permanent

We’re working with an innovative international SaaS provider that’s rapidly expanding and looking for an experienced Senior Data Engineer to join their dynamic tech team. The company builds next-generation solutions that simplify complex regulatory and data challenges for businesses of all sizes, from fast-growing startups to established enterprises.

This is an exciting opportunity for someone with strong technical foundations in software engineering and data systems, who wants to make an impact in a scaling, product-driven environment.

What You’ll Be Doing

• Designing and maintaining scalable data pipelines and ETL workflows using Python and SQL
• Developing and optimizing API-driven data integrations and real-time workflows
• Applying best practices in coding, testing, version control, and documentation
• Improving efficiency, reliability, and automation across data processes
• Collaborating with engineers, analysts, and business teams to translate requirements into technical solutions
• Building internal tools and supporting data-driven initiatives across the business
• Implementing data monitoring, alerting, and incident response procedures to keep systems running smoothly
• Working with DevOps practices for data : CI / CD, infrastructure-as-code, and containerized deployments

What We’re Looking For

• 7+ years’ experience in data engineering or related fields, with a focus on building ETL solutions
• Expert-level skills in Python and SQL
• Solid background with relational databases and data modeling
• Hands-on experience with cloud platforms (AWS, GCP, or Azure)
• Familiarity with containerization ( Docker , Kubernetes )
• Strong knowledge of RESTful APIs
• Experience with Git-based version control and CI / CD workflows
• Understanding of software development life cycle and clean code principles
• Comfortable leading projects independently and mentoring junior engineers
• Interest or exposure to AI concepts is an advantage

Bonus points if you have :

• Background in data security, privacy, or access control
• Experience with infrastructure-as-code tools (e.g., Terraform, Helm)
• Knowledge of event-driven architectures or stream processing

Why This Role?

• Innovative Product – Be part of a company reshaping how businesses handle compliance and security.
• Learning Culture – Support for continuous development, including training and mentorship.
• Hybrid Working – Flexibility to balance work and life.
• Collaborative Team – Join a supportive, ambitious group that values knowledge-sharing.
• Great Perks – From social events to family-first policies, this is a people-focused environment.

If you’re a seasoned data engineer who thrives in fast-moving environments and enjoys solving real-world data challenges, we’d love to hear from you.