Job Description

Business Intelligence Data Engineer (Contract) South Africa/Hybrid
Our client requires the services of a Business Intelligence Data Engineer, responsible for designing, building, and maintaining scalable data pipelines and cloud-based data platforms that support enterprise analytics, reporting, and data-driven decision-making. The role ensures reliable, high-quality, and well-structured data delivery across the organisation.
Contract Details:

• Working Model: Hybrid
• Assignment: Contract role for initial 6 months (possibility of renewal).
• Commencement: As soon as possible.

Key Responsibilities
Data Pipeline Development (ETL / ELT)

• Design, build, and optimise data ingestion, transformation, and integration pipelines.
• Implement batch, near-real-time, and event-driven data processing patterns.
• Automate data extraction from cloud, SaaS, and on-premise source systems.

Data Platform Engineering

• Develop and maintain data lakes, data warehouses, and semantic layers.
• Build and manage cloud-based data platforms across Azure, AWS, or GCP environments.
• Ensure data platforms are scalable, resilient, and cost-efficient.

Data Quality & Reliability

• Implement data validation, monitoring, and alerting frameworks.
• Ensure data accuracy, completeness, timeliness, and reliability.
• Collaborate with cross-functional teams to investigate and resolve data issues.

Collaboration & Delivery

• Work closely with Data Modellers to implement schemas, transformations, and best-practice data structures.
• Support BI developers, analysts, and product teams with trusted, high-quality datasets.
• Participate in Agile ceremonies, sprint planning, and delivery cycles.

Governance, Security & DevOps

• Maintain data catalogues, lineage, and technical documentation.
• Ensure compliance with data security, privacy, and governance standards.
• Apply CI/CD, GitOps, and deployment automation best practices for data solutions.

Qualifications & Experience
Education:

• Bachelor's Degree in Computer Science, Engineering, Data Analytics, or a related field.

Experience:

• 3-7+ years' experience in data engineering or large-scale data environments.
• Experience building and supporting enterprise analytics platforms.

Certifications (Advantageous):

• DP-203: Azure Data Engineer Associate
• DP-700: Fabric Analytics Engineer
• AZ-900: Microsoft Azure Fundamentals

Knowledge & Skills
Technical Skills:

• Advanced SQL and Python for data pipeline development, optimisation, and transformation.
• Hands-on experience with ETL/ELT frameworks and platforms, including:

• Microsoft Fabric Data Pipelines, Lakehouse, Warehouse, OneLake, and Notebooks
• Azure Data Factory (ADF) for orchestration and data movement
• Databricks for scalable data engineering, Delta Lake, and workflow orchestration
• Strong understanding of data warehousing principles, including dimensional modelling, star and snowflake schemas, and slowly changing dimensions (SCDs).
• Experience with cloud storage and compute platforms such as:

• Azure Data Lake Storage (ADLS Gen2)
• Microsoft Fabric OneLake
• Familiarity with containerisation technologies (Docker, Kubernetes) for deploying data services or microservices.
• Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.
• Working knowledge of cloud security and governance concepts, including Key Vaults, managed identities, RBAC, and data access patterns.
• Exposure to Delta Lake, Parquet formats, Medallion architecture, and scalable batch and streaming ingestion patterns (advantageous).

Soft Skills:

• Strong analytical thinking and problem-solving ability.
• Collaborative mindset with the ability to work across data, BI, and architecture teams.
• Ability to design scalable, maintainable, and future-ready data solutions.

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Skills Required