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Data Engineer

3 weeks ago

Johannesburg, Gauteng, South Africa Belay Talent Solutions Full time

We are looking for a skilled Data Engineer with strong experience in the Microsoft technology stack, advanced SQL and PowerBI and solid knowledge of Azure data services. The ideal candidate will design, build, optimise, and maintain scalable data pipelines, ensuring high-quality data delivery to support our analytics, reporting, and business intelligence needs.

Key Responsibilities

Data Engineering & Development

  • Design, build, and maintain scalable ETL/ELT pipelines in Azure.
  • Develop and optimise SQL queries, views, functions, and stored procedures.
  • Build and manage data models, data marts, and warehouse structures.
  • Implement data integration between multiple systems and APIs.
  • Ensure data accuracy, quality, and performance across the full data lifecycle.

Azure Technologies

  • Work with Azure cloud services such as:
    • Azure Data Factory
    • Azure Synapse Analytics / SQL Pools
    • Azure SQL Database / SQL Managed Instance
    • Azure Data Lake Storage (ADLS)
    • PowerBI
  • Monitor and optimise Azure resource performance and cost.

Business Intelligence & Reporting

  • Collaborate with BI and business teams to deliver robust datasets for analytics.
  • Build and optimise Power BI data models.
  • Write, troubleshoot, and optimise DAX calculations and measures.

Data Quality & Governance

  • Implement data validation, cleansing, and transformation processes.
  • Ensure compliance with data security, governance, and regulatory standards.
  • Maintain documentation of data models, pipelines, and processes.

Collaboration

  • Work closely with developers, product teams, and business stakeholders.
  • Translate business requirements into technical data solutions.
  • Support ad hoc data requests and reporting needs.

Required Skills & Experience

Technical Skills

  • Strong SQL (queries, stored procedures, optimisation).
  • Proven experience with the Microsoft Data Stack.
  • Expertise in Azure Data Factory, Azure SQL, Synapse, ADLS.
  • Power BI experience including data modelling and DAX.
  • Strong understanding of ETL/ELT patterns, relational databases, and dimensional modelling.

Experience

  • 35+ years as a Data Engineer or similar role.
  • Experience working with large datasets and performance tuning.
  • Experience integrating disparate data sources (APIs, files, DBs).

Nice-to-Have

  • Experience with Azure DevOps pipelines for data processes.
  • Knowledge of Python or C# for data automation.
  • Exposure to CI/CD, version control (Git), and infrastructure-as-code.
  • Monitoring tools such as Log Analytics or Application Insights.

Soft Skills

  • Strong analytical and problem-solving skills.
  • Ability to communicate complex technical concepts clearly.
  • Detail-oriented with strong documentation habits.
  • Collaboration-focused, proactive, and able to work independently.

Qualifications

  • Bachelors degree in Computer Science, Information Systems, Data Engineering, or equivalent experience.
  • Relevant Microsoft certifications (Azure Data Engineer Associate, etc.) are an advantage.