Where

Data Scientist (Senior) 0228

Executive Placements
Pretoria Full-day Full-time

Description:

ESSENTIAL SKILLS:
Strong experience with Azure data services (Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, Azure Data Explorer/Kusto) Proficiency in SQL for data extraction, transformation and analysis Experience building ETL/ELT pipelines and data integration workflows in Azure Data Factory Pipelines or Databricks Workflows Skilled in dimensional modelling and designing data models (e.g. star/snowflake schemas) Experience with data visualisation tools (Tableau/Power Bi/Celonis) and building interactive dashboards and reports Knowledge of data warehousing concepts and best practices, including partitioning and indexing strategies Solid analytical skills with experience in translating business requirements into technical data solutions Familiarity with data governance, data quality practices and metadata management Proficiency in scripting/programming for data tasks (Python, PySpark) Strong communication skills to present insights to technical and non-technical stakeholders ADVANTAGEOUS SKILLS:
Familiarity with Databricks on Azure and Spark-based processing Knowledge of CI/CD for data pipelines (Azure DevOps, Git integration) Experience with data cataloguing tools (e.g., Unity Catalog) and lineage tracking Understanding of security and access control in Azure (role-based access, managed identities) Experience with real-time/streaming data solutions (Event Hubs, Stream Analytics, Kafka) Exposure to data validation and testing frameworks (e.g., Great Expectations) Prior experience working in Agile teams and using tools like Jira and Confluence Azure certification(s) such as Azure Data Engineer Associate or Azure Data Scientist Associate advantageous
QUALIFICATIONS:
Bachelor's degree in Computer Science, Data Science, Statistics, Business Analytics or a related field (or equivalent practical experience) Minimum of 5+ years hands-on experience in data analysis, data engineering or analytics roles with significant Azure exposure Demonstrable experience delivering production-ready data solutions, dashboards and documentation in an enterprise environment

26 Jan 2026;   from: gumtree.co.za

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