Location
In office (Centurion)
Seniority
Senior
Employment
Full-Time
First seen by Alion on Oct 22, 2026.
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Introduction
MUST BE LOCATED IN CAPE TOWN
We are looking for a highly skilled Senior Data Engineer with a strong background in Databricks, Azure Data Services, and modern data engineering tools to design, build, and optimize scalable data pipelines. The ideal candidate will have at least 5 years of hands-on experience with Databricks and 5+ years of experience in data engineering, with proven expertise in ETL/ELT development, Spark-based processing, and Python/SQL programming.
Duties & Responsibilities- Design, build, and manage robust, scalable data pipelines using Databricks, Delta Live Tables, and Azure Data Factory (ADF) or Fivetran.
- Implement advanced ETL/ELT processes to ingest and transform data from multiple sources, including SAP.
- Develop and maintain reusable code using Python, SQL, and PySpark.
- Work with Unity Catalog to manage data governance, access controls, and data lineage across environments.
- Use Databricks notebooks and Git for collaborative development, version control, and CI/CD.
- Leverage Azure services and Terraform for provisioning, automation, and cloud infrastructure management.
- Optimize data models for performance, scalability, and operational efficiency in a cloud-native architecture.
- Collaborate closely with Data Analysts, Scientists, and Business Stakeholders to deliver clean, trusted datasets.
- Document technical solutions, data flows, and transformation logic.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional) preferred.
Experience:
- 5+ years in data engineering or big data development roles.
- 5+ years hands-on experience with Databricks, including DLT and Unity Catalog.
- Experience working with Azure Data Factory (ADF) or Fivetran for ETL/ELT.
- Strong programming skills in Python and SQL.
- Proficiency in PySpark or Apache Spark for distributed data processing.
- Experience with Git, notebook-based development, and CI/CD pipelines.
- Familiarity with Azure administration and infrastructure as code (Terraform).
- Exposure to SAP systems as a data source is a plus.
Soft Skills:
- Strong problem-solving skills and attention to detail.
- Ability to work collaboratively in cross-functional teams.
- Excellent communication and documentation skills.
- Comfortable working in Agile environments.
R540 p/h or R85 000 perm depending in experience
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