Senior Data Engineer

Are you ready to build the data backbone behind one of the world’s 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.

You’ll 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. You’ll also step in as an Interim Data Engineering Chapter Lead
, mentoring engineers and shaping engineering standards across the Hub.

• 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.

• 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.

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? Let’s get an application across……