Lead Data Engineer

Listing reference: track_001233
Listing status: Under Review
Apply by: 14 June 2024
Position summary
Industry: IT & Internet
Job category: Hardware Design and Engineering
Location: Centurion
Contract: Permanent
Remuneration: Market Related
EE position: Yes
Tracker requires the services of a Lead Data Engineer, A Technical leadership role in the effective and high-quality delivery of analysis, design, development, and maintenance of large-scale products and services in the areas of Data Engineering, Data Warehousing, MSSQL, SSAS, SSRS and Reporting, PowerBI and Business Intelligence, ETL, Azure data processing and relevant non-SQL data environments.
Job description

  • Providetechnical leadership in delivery of Data Engineering products and solutions, within team and across teams.
  • Provide effective technical management and guidance of staff in Data Engineering teams.
  • Continuously align delivery to the Tracker and Data Science team strategy and planning.
  • When relevant, provide input into the annual salary review process as and when required.
Delivery of Data Engineering projects   
  • Deliver Data Engineering & related projects on time, in budget, with the desired functionality, at the defined quality level in a sustainable way.
  • Assist in definition and design of technical implementation related to area of responsibility, while collaborating with managers, team leads, other technical leads and architects.
Best practice quality and testing          
  • Meet best practice criteria in the evaluation and testing of all data code e.g., SQL, reporting software, data products.
  • When relevant, assure that team members adhere to and follow these practices.  
System maintenance and support        
  • Complete and ensure team completion of work orders in appropriate timescales.  
  • Maintain systems, SQL & related code bases and data products without introducing new defects.
  • Enhance systems, SQL & related code bases and data products to support and transition to new technologies.  
Knowledge transfer
  • Share knowledge with Data Engineering and other teams.  
  • Proper documentation of designs, systems architecture, enhancements, etc. to facilitate knowledge sharing.  
  • Mentor and coach Data Engineering members.  
Engineering processes and environment       
  • Ensure that best practice development processes and standards, as adapted to Data Engineering and Data Science are followed.  
  • Effective use of Data Engineering and related development toolsets.  
  • Follow department development standards as adapted to Data Science and Data Engineering.  
Knowledge and Skill  
  • Keep abreast of industry and technology knowledge, trends and best practices.  
Business Acumen  
  • Demonstrate strong customer orientation  
  • Demonstrate cross-functional expertise and the ability to thrive in highly complex environments. 
Leadership Acumen  
  • Demonstrate strong technical leadership attributes. 

Minimum requirements


  • Degree / Diploma/ Equivalant with 4 years of relevant work experience or 6 years of relevant work experience in data engineering, other relevant fields will be considered such as data science, data analytics, machine learning or BI development.
  • Training in related areas and skills would be advantageous.
  • At least 2 years in lead data engineering role advantageous.
  • Certifications in Azure environment would be advantageous
  • Working knowledge and understanding of the following:

    - Deep understanding of Microsoft SQL Server Technologies (MSSQL, SSRS, SSIS, SSAS)

    - Strong hands-on experience with SQL, ETL processes and data warehousing methodologies 

    - Experience working with large data warehouses, including building and maintaining tabular / cube models in SSAS.

    - Excellent problem-solving skills, with the ability to easily determine best solution on large and different datasets.

    - Ability to translate business needs into data-driven SSRS reports, and then to present it with the relevant business acumen to internal and external stakeholders.

    - Effective communication and collaboration abilities to work closely with cross-functional teams.

    - Detail-oriented mindset with a commitment to delivering high-quality and robust processes.

    - Experience in the telematics or automotive industry is a plus.


    Technologies - Working experience in a cross-section of the following technologies (recent 4 years) is required:

    - Project Participation: Agile frameworks like Scrum or Kanban. 

    - Programming: Excel, SQL, DAX, Power-M Query, Python (advantageous).

    - Cloud data: DataBricks (PySpark), PowerBI, Azure SQL, Azure Data Lake Gen 2.

    - Geospatial: QGIS is advantageous.


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