Senior Data Engineer
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Job Location:
Stellenbosch - South Africa
Monthly Salary:
Not Disclosed
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
Are you ready to build the data backbone behind one of the worlds most iconic alcohol brands Our client a global powerhouse in brewing manufacturing and distribution is looking for a Senior Data Engineer to join their high-impact AME Analytics Hub and help shape the future of data-driven decision-making across Africa & the Middle East.
Your Mission
Youll design build and operate scalable analytics-ready data pipelines across HDP Data Prime and Hub initiatives ensuring high-quality reliable data foundations that drive smarter business decisions.
Youll also step in as an Interim Data Engineering Chapter Lead mentoring engineers and shaping engineering standards across the Hub.
Senior Data Engineer:
Implement and operate data models and transformations within established HDP and Data Prime pipeline frameworks delivering scalable production-ready datasets aligned to enterprise data standards.
Develop analytics-ready datasets using Python/PySpark SQL and dbt to support BI and Data Science use cases.
Embed data quality observability and monitoring to ensure reliable high-performing data products.
Apply Unity Catalog governance security and access control patterns including sensitive data handling.
Partner closely with BI Data Science and Product teams to translate business needs into robust technical solutions.
Maintain CI/CD discipline version control and testing practices; troubleshoot production issues and continuously improve pipeline resilience.
Contribute to architecture and design discussions acting as a senior technical authority within the Hub.
Data Engineering Lead:
Provide people leadership including regular 1:1s feedback check-ins and coaching of chapter members.
Mentor engineers on engineering best practices modelling standards code quality and delivery habits.
Ensure consistent adoption of engineering standards ways of working and reusable patterns across teams.
Maintain visibility of chapter capacity and skills; support resource allocation and onboarding where needed.
Act as an escalation point for complex technical challenges and delivery risks.
Represent the Data Engineering chapter in Global and Hub forums supporting alignment across chapters.
Support roadmap planning and tracking by maintaining visibility of upcoming deployments capacity constraints and delivery dependencies proactively flagging risks and misalignment.
Requirements
What you bring:
5 years experience in Data Engineering / Analytics Engineering
Degree in Computer Science Engineering Information Systems or similar (or equivalent experience).
Strong hands-on expertise in Python PySpark & Advanced SQL
Experience with dbt Databricks (strongly preferred)
Familiarity with Azure Data Services (ADLS ADF)
Experience with CI/CD Git workflows & Agile delivery
Ability to partner with Product BI & Data Science teams
Experience mentoring engineers or leading initiatives
Ready to engineer data that fuels global brands Lets get an application across
Required Skills:
What you bring: 5 years experience in Data Engineering / Analytics Engineering Degree in Computer Science Engineering Information Systems or similar (or equivalent experience). Strong hands-on expertise in Python PySpark & Advanced SQL Experience with dbt Databricks (strongly preferred) Familiarity with Azure Data Services (ADLS ADF) Experience with CI/CD Git workflows & Agile delivery Ability to partner with Product BI & Data Science teams Experience mentoring engineers or leading initiatives Ready to engineer data that fuels global brands Lets get an application across
Company Industry
IT Services and IT Consulting
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
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