Data Engineer

Sabenza IT & Recruitment; Pretoria; Hybrid; ZAR 600 000 - 800 000; Full time

Job summary

A recruitment firm is seeking a Data Engineer for a 24-month hybrid contract in Pretoria. The ideal candidate will design and optimize data pipelines, implement data governance, and collaborate with cross-functional teams. Applicants should have a tertiary qualification or significant experience in relevant fields, along with expertise in SQL Server and ETL tools. Join to make a significant impact in the financial sector.

Benefits

Flexibility in working environment

Exposure to cutting-edge technologies

Collaboration in cross-functional teams

Qualifications

• Tertiary qualification or 6–8 years of relevant experience.
• Hands‑on experience with SQL Server and ETL tools.
• Proven experience in data warehouses and production data solutions.
• Knowledge of data governance and QA frameworks.
• Familiarity with cloud platforms and version control.

Responsibilities

• Design, build, and optimize high‑volume data pipelines.
• Engineer feature stores and data warehouses.
• Perform data cleansing, transformation, and validation.
• Implement and maintain data governance and compliance frameworks.
• Collaborate with analysts and stakeholders to create data solutions.
• Optimize production pipelines for performance and reliability.

Skills

SQL Server (T-SQL, performance tuning)

ETL tools (SSIS, Azure Data Factory, Airflow)

Data governance and compliance

Collaboration and communication skills

Education

Tertiary qualification in Computer Science, Information Systems, Analytics, or Statistics

Tools

Power BI

Azure

Git

Job description

Data Engineer – 24-Month Contract | Pretoria (Hybrid)

Are you passionate about turning raw data into actionable insights? Do you thrive in a fast‑paced environment where innovation meets impact? We’re looking for a Data Engineer to join our client in the financial space on a 24‑month hybrid contract in Pretoria.

Responsibilities

• Design, build, and optimize high‑volume data pipelines, ETL/ELT workflows, and T‑SQL procedures for scoring, analytics, and machine learning.
• Engineer feature stores and data warehouses, ensuring robust, reusable, and well‑documented data structures.
• Perform data cleansing, transformation, and validation, guaranteeing accurate, reliable datasets for reporting and BI dashboards.
• Implement and maintain data governance, compliance, and QA frameworks, keeping data traceable, secure, and audit‑ready.
• Collaborate with analysts, data scientists, and stakeholders to translate business needs into scalable, production‑ready data solutions.
• Optimize production pipelines for performance, reliability, and monitoring, leveraging expertise in indexing, tuning, and workflow orchestration.

Requirements

• Tertiary qualification in Computer Science, Information Systems, Analytics, or Statistics, or matric with 6–8 years of relevant experience.
• Hands‑on experience with SQL Server (T‑SQL, stored procedures, performance tuning) and ETL tools (SSIS, Azure Data Factory, Airflow).
• Proven experience in data warehouses, feature stores, and production data solutions (batch and near real‑time).
• Knowledge of data governance, QA frameworks, and regulatory compliance.
• Familiarity with Power BI, cloud platforms (Azure preferred), and version control (Git).
• Strong collaboration and communication skills with an ability to translate complex requirements into practical solutions.

Why You’ll Love This Role

• Be at the forefront of enterprise‑level data engineering projects.
• Contribute to impactful, high‑visibility tax analytics and scoring initiatives.
• Work in a hybrid environment, combining flexibility and in‑person collaboration.
• Gain exposure to cutting‑edge technologies and cross‑functional teams.

Turn data into actionable insights and make a real impact. Apply now!