Senior Data Engineer - Cloud Pipelines & AI Tools

Sabenza It & Recruitment; Gauteng; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Sabenza It & Recruitment is seeking a hands-on Data Engineer to own ingestion, transformation, and validation pipelines in Centurion. You will partner with an analytics/BI team to deliver trusted data for dashboards and decision making.

You will design scalable data flows, enforce governance, and guide more junior engineers while contributing to CI/CD practices. A strong background in Python, SQL and data warehousing is essential.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering or related field.
• 4–7+ years in data engineering with production pipelines.
• Advanced Python and SQL.
• Data modelling and warehousing.
• Ingestion from relational DBs, cloud storage, APIs and files.
• Experience with Git, CI/CD and automation.
• Experience using AI in engineering work with safeguards.
• Power BI or similar BI tool is useful.

Responsibilities

• Deliver data engineering work inside an Agile team and plan features with the product owner.
• Design and build ingestion and transformation pipelines across systems and domains.
• Shape solutions for target data platform considering cloud/AWS, cost, security and performance.
• Coach less experienced data engineers and share data structures and pipeline behavior.
• Review code and configuration; use Git, CI/CD, automated tests, and structured releases.
• Apply AI in the engineering workflow with approved tools and ensure data privacy.

Skills

Python

SQL

Data modelling

Warehousing

ETL pipelines

Git CI/CD

AI in eng.

Power BI

Stakeholder communication

Education

Bachelor's degree in CS/IS/Engineering

Tools

Git

CI/CD

Power BI

Job description

Sabenza It & Recruitment is seeking a hands-on Data Engineer to own ingestion, transformation, and validation pipelines in Centurion. You will partner with an analytics/BI team to deliver trusted data for dashboards and decision making.

You will design scalable data flows, enforce governance, and guide more junior engineers while contributing to CI/CD practices. A strong background in Python, SQL and data warehousing is essential.