The Role

We're seeking a Data Engineer to design, build, and maintain modern data infrastructure solutions. You'll work within a skilled technical team to develop robust, scalable data pipelines that enable analytics, machine learning, and business insights, collaborating closely with data scientists, analysts, and engineering teams.

Snapshot

• Location: Cape Town, Johannesburg, Remote
• Employment Type: Full-time, Contract

Key Responsibilities

• Design and develop data ingestion and transformation pipelines for structured and unstructured data.
• Ensure high availability, scalability, and performance across distributed data systems.
• Integrate data from multiple sources into unified data stores.
• Implement automation and CI/CD for data workflows.
• Monitor and improve data reliability, quality, and lineage.
• Collaborate with data scientists, analysts, and product teams to support business insights.
• Participate in code and pipeline reviews and mentor junior engineers.

Skills & Experience

• 5 - 8+ years of professional data engineering experience.

• Proficiency in Python, SQL, and ETL frameworks.

• Experience with Spark, Hadoop, Kafka, or similar distributed data technologies.
• Familiarity with cloud-based data platforms (AWS, Azure, GCP).
• Knowledge of data warehousing solutions (Redshift, Snowflake, BigQuery).
• Experience with version control, CI/CD, and pipeline automation.

Nice to Have

• Experience with Airflow, dbt, or Prefect.

• Exposure to machine learning pipelines or feature engineering.
• Familiarity with containerization (Docker, Kubernetes).

Salary

• R60k/month - R150k/month

Culture & Benefits

• Collaborative, forward-thinking, and delivery-focused engineering culture.

• Discretionary performance-based bonus.