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.

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……