Exciting Opportunity: Mid to Senior Data Engineer in Gauteng
A leading company in the data analytics field, Praesignis, is searching for a skilled Mid to Senior Data Engineer to join their growing data and analytics team. This is a fantastic opportunity to be part of a dynamic organization driving data innovation in Gauteng.
Key Responsibilities
- Design and implement scalable data pipelines and workflows to process large datasets.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
- Optimize ETL processes for performance and efficiency.
- Ensure the integrity and quality of data through rigorous testing and validation.
- Stay abreast of industry trends and best practices in data engineering.
- Mentor junior engineers and provide guidance on best practices.
Requirements
- Education: Bachelor’s degree in Computer Science, Engineering, or related field.
- Experience: 4+ years of experience in data engineering or related roles.
- Skills: Proficiency in SQL, Python, and data modeling techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark).
- Strong problem-solving skills and ability to work in a fast-paced environment.
💰 Salary Insight
Estimated Offer: R35,000 – R55,000 per month.
(Note: Salary figures are based on market estimates and may vary.)
🔮 3 Common Interview Questions for this Role
- “Can you explain a data pipeline you built and the technologies you used?”
- “How do you handle data quality issues when working with large datasets?”
- “Describe your experience with cloud services and how they can benefit data engineering.”
Tips on Crafting a CV for this Role
- Showcase Technical Skills: Clearly list programming languages and tools relevant to data engineering.
- Detail Your Projects: Include specific projects that highlight your data pipeline and ETL experience.
- Certifications Matter: Mention any certifications related to data management, cloud services, or data engineering.
Related Job Titles: Data Analyst, Data Architect, ETL Developer, Data Scientist.

