About the position
Our client in the Auto-mobile (International) sector is looking for a Data Scientist
MORE ABOUT THE ROLE:
Contract Start Date
02-01-2026
Contract End Date
31-12-2028
Nationality
South African citizens / residents are preferred. Applicants with valid work permits will also be considered.
Product Information
Product "Industrialization Innovations Inhouse Logistics (ILOG)" ILOG is the facilitator and enabler of industrialization of innovations in inhouse logistics. The focus of IIIL lies in increasing the automation level of inhouse logistics, especially by integrating and operating new types of autonomous and automatic transport systems as well as robotics applications. Innovation stands for new technologies, processes and ideas to increase efficiency in intralogistics. Industrialization is the enabling of Innovations for stable and productive use in production critical environments.
InoLog ensures the operability, group wide standardization, conformity to IT specifications and existing Bluebook / OtD reference processes in exchange with the products responsible for the process (e.g. MAN, PILS).
==================================== Description of
Product with main features / services: The core service of ILOG is ATS Services, the control platform for autonomous transport systems. ATS Services coordinates fleets of mixed vehicles and optimizes their utilization in regards to job execution and traffic. ATS Services integrates peripheral devices like traffic lights and gates to coordinate the interaction between transport systems and peripheral devices. ILOG is responsible for a stable, efficient and operatable integration of relevant transport systems and their corresponding control systems to the group production system.
ESSENTIALSKILLS:
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
ROLE & RESPONSIBILITIES:
Design, develop and maintain robust data pipelines and ETL/ELT processes using Azure Data Factory, Databricks Pipelines and related services
Create and optimise data models and data warehousing solutions to support reporting and analytics needs Build high-quality interactive reports and dashboards; translate business requirements into insightful
visualisations
Work closely with business stakeholders to gather requirements, define KPIs and deliver actionable analytics
Implement and enforce data governance, data quality checks and best practices across datasets and pipelines Develop SQL scripts, stored procedures and Python/PySpark code for data transformation and analysis
Collaborate with data engineers, data scientists and platform teams to integrate analytical solutions into the wider data platform
Monitor and tune performance of queries, data loads and data storage to ensure cost-efficient operations
Document data models, pipeline designs, data dictionaries and runbooks for handover and operational support Support data ingestion from diverse sources, including APIs, databases and streaming platforms
Contribute to automation and CI/CD practices for data solution deployments using Git
QUALIFICATIONS/EXPERIENCE:
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
WHAT DO WE OFFER YOU?
Cutting edge global IT system landscape and processes Flexible working of 1960 hours in a 12-month period
High Work-Life balance
Remote / On-site work location flexibility
Affordable Group vehicle promotions (buying or leasing options available, terms and conditions apply) Highly motivating, energetic, and fast-paced working environment
Modern, state-of-the-art offices Dynamic Global Team collaboration
Application of the Agile Working Model Methodology
Desired Skills:
- Data Scientist
- Data Engineer
- Data Lead
