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Senior Data Engineer – Databricks | AI & Cloud Engineering
Job Location:
Job Location:
Johannesburg - South Africa
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
24 May 2026 (30+ days ago)
Posted:
Application Deadline:
21 August 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Reference: NCM002992-Glad-1
Ready to build enterprise-scale data platforms powering AI and next-generation analytics
Ready to build enterprise-scale data platforms powering AI and next-generation analytics
Duties & Responsibilities
data platforms come together to drive impactful business solutions. We are seeking a highly skilled Senior Data Engineer to design build and optimise scalable cloud-native data platforms supporting analytics AI and enterprise reporting solutions. This opportunity offers exposure to modern lakehouse environments enterprise-scale data engineering and AI-enabled platforms within a collaborative Agile team.
The successful candidate will work closely with engineering analytics and product teams to deliver high-quality data solutions across cloud platforms and enterprise environments.
Key Responsibilities:
- Design build and maintain scalable ETL/data pipelines
- Develop enterprise data solutions using Databricks and Apache Spark
- Support analytics AI and reporting workloads
- Ensure data quality governance and operational stability
- Collaborate with cross-functional Agile teams
- Implement CI/CD and engineering best practices
Job Experience & Skills Required / Ideal Candidate Profile:
Education
- Bachelors Degree in Computer Science Information Technology Engineering Data Science or related field
- Databricks Certified Data Engineer (Advantageous)
- Microsoft Azure Data Engineer Associate
- AWS Certified Data Engineer / AWS Certified Solutions Architect
- Azure AI Engineer Associate (Advantageous)
- Databricks Lakehouse Fundamentals
- Apache Spark Certifications (Advantageous)
Experience
- Experience working with AI/GenAI data platforms and modern lakehouse environments
- 5 years experience as a Senior / Lead Data Engineer
- Hands-on experience with Databricks and cloud-native data platforms
- Experience building production-grade ETL/data pipelines
- Experience working within enterprise or regulated environments
- Exposure to AI ML or Generative AI environments advantageous
- Experience working within Agile delivery teams
Skills
- Databricks
- Python
- SQL
- Apache Spark / PySpark
- AWS or Azure
- ETL / ELT pipelines
- Data Lake / Lakehouse architectures
- CI/CD practices
- Data governance and data quality management
Apply now!
For more exciting IT vacancies please visit:
I also specialise in recruiting in the following fields:
- Data Engineering
- Cloud Engineering
- AI & Machine Learning
If you have not had any response in two weeks please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
For more information contact:
Connect with me on LinkedIn! << >>
The successful candidate will work closely with engineering analytics and product teams to deliver high-quality data solutions across cloud platforms and enterprise environments.
Key Responsibilities:
- Design build and maintain scalable ETL/data pipelines
- Develop enterprise data solutions using Databricks and Apache Spark
- Support analytics AI and reporting workloads
- Ensure data quality governance and operational stability
- Collaborate with cross-functional Agile teams
- Implement CI/CD and engineering best practices
Job Experience & Skills Required / Ideal Candidate Profile:
Education
- Bachelors Degree in Computer Science Information Technology Engineering Data Science or related field
- Databricks Certified Data Engineer (Advantageous)
- Microsoft Azure Data Engineer Associate
- AWS Certified Data Engineer / AWS Certified Solutions Architect
- Azure AI Engineer Associate (Advantageous)
- Databricks Lakehouse Fundamentals
- Apache Spark Certifications (Advantageous)
Experience
- Experience working with AI/GenAI data platforms and modern lakehouse environments
- 5 years experience as a Senior / Lead Data Engineer
- Hands-on experience with Databricks and cloud-native data platforms
- Experience building production-grade ETL/data pipelines
- Experience working within enterprise or regulated environments
- Exposure to AI ML or Generative AI environments advantageous
- Experience working within Agile delivery teams
Skills
- Databricks
- Python
- SQL
- Apache Spark / PySpark
- AWS or Azure
- ETL / ELT pipelines
- Data Lake / Lakehouse architectures
- CI/CD practices
- Data governance and data quality management
Apply now!
For more exciting IT vacancies please visit:
I also specialise in recruiting in the following fields:
- Data Engineering
- Cloud Engineering
- AI & Machine Learning
If you have not had any response in two weeks please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
For more information contact:
Connect with me on LinkedIn! << >>
Package & Remuneration
R70000 - R 110 000 - Monthly
Required Experience:
Senior IC
