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.

Your Mission

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.

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? Let’s get an application across……