Senior Data Engineer - Cape Town

Moyo Africa Consulting

Centurion

On-site

ZAR 900,000 - 1,500,000

Full time

5 days ago
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Job summary

MOYO is seeking a Senior Data Engineer to design, build, and optimize data platforms in Centurion. You will develop scalable data pipelines and warehouses using Azure data services to enable advanced analytics and visualisation via Power BI and Tableau.

The role involves collaborating with stakeholders to translate business needs into robust data solutions. Ideal candidates have 4–7 years in data engineering or BI, strong SQL and data mod­elling skills, and experience with Azure data services.

Qualifications

  • Must have strong experience designing and building data pipelines and ETL processes.
  • Proficient in data warehousing concepts and dimensional modelling.
  • Experience with Azure data services and BI tooling preferable.
  • Comfortable translating business requirements into technical data solutions.
  • Strong communication with technical and business stakeholders.

Responsibilities

  • Design and build data pipelines and ETL processes using Azure Data Factory and SQL.
  • Develop and maintain data warehouses and data models (star schema).
  • Integrate data from multiple sources ensuring data quality, governance and security.
  • Design and implement data integration using Azure Synapse, Azure SQL, Data Lake and/or Databricks.
  • Monitor and optimize data pipelines and integration processes.
  • Support and maintain BI platforms.
  • Collaborate with stakeholders to translate requirements into data solutions.
  • Support Power BI/Tableau dashboards and reporting.

Skills

SQL development
Data warehousing
Data modelling
Agile
Power BI/Tableau
Stakeholder communication

Tools

Azure Data Factory
Azure SQL
Azure Synapse Analytics
Azure Data Lake
Databricks

Job description

WELCOME TO MOYO
SENIOR DATA ENGINEER
About the role:

We are looking for an experienced Data Engineer to join our team in Centurion and help design, build, and optimise data platforms that enable powerful insights and better decision-making. You will work with modern Azure data technologies, building scalable data pipelines and data warehouses that support advanced analytics and visualisation through Power BI and Tableau. If you enjoy solving complex data challenges and turning raw data into meaningful insights, we would love to hear from you.

Primary duties & responsibilities:
  • Designing and building data pipelines and ETL processes using Azure Data Factory and SQL.
  • Developing and maintaining data warehouses and data models (relational and star schema).
  • Integrating data from multiple sources and ensuring data quality, governance, and security.
  • Designing and implementing data integration solutions using Azure Synapse, Azure SQL, Data Lake and/or Databricks.
  • Monitoring and optimising data pipelines and integration processes.
  • Supporting and maintaining existing data environments and BI platforms.
  • Collaborating with stakeholders to understand business requirements and translate them into data solutions.
  • Supporting the development of Power BI or Tableau dashboards and reporting solutions.
  • Troubleshooting technical and data issues and improving overall data platform performance.
Required skills & experience:
  • 4-7 years’ experience in a data engineering, BI, or data warehouse environment.
  • Strong understanding of data warehousing and data modelling concepts.
  • Azure Data Factory
  • Azure SQL / SQL Server
  • Azure Synapse Analytics
  • Azure Data Lake / Storage Accounts
  • Databricks (advantageous)
  • Strong SQL development skills using SSMS and Visual Studio.
  • Experience working in Agile environments.
  • Exposure to Power BI and/or Tableau.
What Makes You Successful:

You are someone who:

  • Thinks analytically and enjoys solving complex data challenges.
  • Can translate business needs into technical data solutions.
  • Communicates clearly with both technical and business stakeholders.
  • Takes ownership and manages priorities effectively.
  • Continuously learns and adapts in a fast-moving data environment.
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