Where

Data Engineer

Network Recruitment
Pretoria Full-day Full-time

Description:

A leading company in the South African insurance industry, known for driving innovation and digitally advanced solutions. The company’s success is attributed to its outstanding employees, creating an environment where growth, inclusivity, and fun thrive. Why Join Us?
  • Top Employer South Africa since 2022
  • Inclusive and vibrant company culture
  • Rewards and recognition programs
  • Comprehensive employee benefits (Medical Aid, Pension Fund, Life & Disability benefits)
  • Wellness programs (Free counselling, legal advice, and financial coaching)
  • Career growth opportunities and development
  • Workplace perks including Wi-Fi on campus and more.
Key Responsibilities:
  • Design, build, and maintain scalable data pipelines to process large data volumes from various sources
  • Develop and maintain data models, databases, and data warehouses to support reporting needs
  • Ensure data quality and accuracy through validation and monitoring processes
  • Collaborate with stakeholders (data scientists, analysts, etc.) to deliver data solutions
  • Contribute to building reliable, scalable data infrastructure with a focus on performance and availability
Competencies & Skills:
  • Strong understanding of data engineering best practices
  • Ability to work under pressure and meet deadlines
  • Proficiency in programming languages (Python, C#, etc.) and SQL
  • Experience with data modelling, ETL processes, and data warehousing
  • Familiarity with cloud platforms (AWS, GCP, Azure) and data technologies like Synapse, Databricks, DeltaLake, and AirFlow
Qualifications:
  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 3+ years of experience in data engineering or a related field

Apply Today.

Requirements:

Why Join Us?
  • Top Employer South Africa since 2022
  • Inclusive and vibrant company culture
  • Rewards and recognition programs
  • Comprehensive employee benefits (Medical Aid, Pension Fund, Life & Disability benefits)
  • Wellness programs (Free counselling, legal advice, and financial coaching)
  • Career growth opportunities and development
  • Workplace perks including Wi-Fi on campus and more.
Key Responsibilities:
  • Design, build, and maintain scalable data pipelines to process large data volumes from various sources
  • Develop and maintain data models, databases, and data warehouses to support reporting needs
  • Ensure data quality and accuracy through validation and monitoring processes
  • Collaborate with stakeholders (data scientists, analysts, etc.) to deliver data solutions
  • Contribute to building reliable, scalable data infrastructure with a focus on performance and availability
Competencies & Skills:
  • Strong understanding of data engineering best practices
  • Ability to work under pressure and meet deadlines
  • Proficiency in programming languages (Python, C#, etc.) and SQL
  • Experience with data modelling, ETL processes, and data warehousing
  • Familiarity with cloud platforms (AWS, GCP, Azure) and data technologies like Synapse, Databricks, DeltaLake, and AirFlow
Qualifications:
  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 3+ years of experience in data engineering or a related field

Apply Today.
  • Top Employer South Africa since 2022
  • Inclusive and vibrant company culture
  • Rewards and recognition programs
  • Comprehensive employee benefits (Medical Aid, Pension Fund, Life & Disability benefits)
  • Wellness programs (Free counselling, legal advice, and financial coaching)
  • Career growth opportunities and development
  • Workplace perks including Wi-Fi on campus and more.
  • Design, build, and maintain scalable data pipelines to process large data volumes from various sources
  • Develop and maintain data models, databases, and data warehouses to support reporting needs
  • Ensure data quality and accuracy through validation and monitoring processes
  • Collaborate with stakeholders (data scientists, analysts, etc.) to deliver data solutions
  • Contribute to building reliable, scalable data infrastructure with a focus on performance and availability
  • Strong understanding of data engineering best practices
  • Ability to work under pressure and meet deadlines
  • Proficiency in programming languages (Python, C#, etc.) and SQL
  • Experience with data modelling, ETL processes, and data warehousing
  • Familiarity with cloud platforms (AWS, GCP, Azure) and data technologies like Synapse, Databricks, DeltaLake, and AirFlow
  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 3+ years of experience in data engineering or a related field
09 Apr 2025;   from: careers24.com

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