Data Engineer

Posted 8 Days Ago
Be an Early Applicant
Cape Town, Western Cape, ZAF
In-Office
Mid level
Hardware • Information Technology • Semiconductor • Defense
The Role
Designs and maintains scalable data solutions, including ETL pipelines, data warehouses, dimensional models, SQL procedures, Power BI dashboards, and Azure cloud integrations. The role translates business requirements into data products, automates batch processing, monitors performance and reliability, troubleshoots BI issues, documents solutions, and contributes to architecture reviews and modernization initiatives.
Summary Generated by Built In
We are looking for a Data Engineer to design and maintain scalable data solutions that support applications, reporting and analytics. The role includes developing data pipelines, contributing to data architecture and supporting data engineering projects.

​
  • Translate business requirements into data solutions, reports and dashboards.
  • Design, develop and maintain ETL processes and data pipelines using Azure Data Factory.
  • Build and manage data warehouses and data models, including facts, dimensions and relational structures.
  • Write complex SQL and T-SQL queries, views and stored procedures.
  • Develop Power BI reports, dashboards and semantic models using DAX.
  • Integrate data across legacy and modern systems, and automate batch processing and scheduled tasks.
  • Deploy and manage data solutions on Azure.
  • Monitor and optimise data solutions for performance, reliability, scalability and cost.
  • Troubleshoot data issues and provide support for existing BI solutions.
  • Maintain technical documentation and participate in architecture, design and code reviews.
  • Contribute to modernising data platforms and support relevant Azure and AI initiatives.


  • Requirements
    Qualifications and experience
    • Matric is essential.
    • A degree in Computer Science, Engineering, Mathematics or a related field, or at least 10 years of relevant experience in place of a degree.
    • Approximately 4–5 years of relevant experience. A postgraduate qualification with a relevant practical component may substitute for some experience.

    Technical skills
    • Data pipeline and ETL development, including Azure Data Factory.
    • Data warehousing, including dimensional, multidimensional and relational modelling.
    • Advanced SQL and T-SQL, including joins, views and stored procedures.
    • Power BI, including dashboards, semantic models, DAX and cubes.
    • Azure cloud solutions and integration between on-premise, legacy and modern systems.
    • Process automation, batch processing and scheduling.

    Benefits
    Hybrid working option

    Skills Required

    • Matric
    • Degree in Computer Science, Engineering, Mathematics, or a related field, or at least 10 years of relevant experience instead of a degree
    • Approximately 4–5 years of relevant experience
    • Data pipeline and ETL development using Azure Data Factory
    • Data warehousing, including dimensional, multidimensional, and relational modeling
    • Advanced SQL and T-SQL, including joins, views, and stored procedures
    • Power BI, including dashboards, semantic models, DAX, and cubes
    • Azure cloud solutions and integration across on-premise, legacy, and modern systems
    • Process automation, batch processing, and scheduling
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    The Company
    HQ: Ethekwini
    67 Employees
    Year Founded: 2000

    What We Do

    DLK Group is a 100% black-owned and managed company, with our roots in Cape Town, and projects managed throughout South Africa. Our track record of operational excellence and innovation over 2 decades has made us trusted advisors to our clients. We provide the people, expertise, support, and training required to implement complex IT infrastructure, enterprise architecture and ERP solutions. ​ We partner with our clients to build successful organisations, underpinned by robust technology.

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