RECRUITMENT OF DATA ENGINEER (AZURE DATABRICKS) AT SALVO
GRIMA RWANDA LTD
About Salvo Grima Group
Salvo Grima Group is a dynamic and diversified group of
companies specialising in distribution, ship supply, retail, and wholesale
operations. Established in 1860, the Group today employs over 500 people across
seven countries and continues to invest heavily in technology, innovation, and
data-driven decision-making.
The candidate will be based in our offices in Kigali where
one of our subsidiaries, Salvo Grima Rwanda Ltd (SGR), was established in 2020.
Today, SGR employs over 100 team members. SGR is a distribution company and
represents a growing number of world-leading manufacturers including Prohealth,
Unilever, Danone, British American Tobacco, Kellogg’s, SC Johnson, Mondelez
International, KimFay and Mars Wrigley.
About the Role
Are you passionate about data and eager to be part of a
rapidly growing company at the forefront of technology? If so, we have an
exciting opportunity for you.
We are seeking a talented Data Engineer (Azure
Databricks) to join our expanding Technology Team. The successful
candidate will be based in either Kigali, Rwanda or Nairobi,
Kenya, supporting our African operations and Group-wide data initiatives.
As part of our digital transformation journey, we are
building a modern enterprise data platform. Our current landscape includes
Microsoft Dynamics 365 Business Central, Microsoft Dynamics NAV, MuleSoft
integration services, Azure technologies, and Power BI analytics solutions. We
are currently implementing an Azure Databricks Lakehouse platform to
create a scalable, governed, and future-ready data ecosystem.
This role presents an exciting opportunity to help shape and
develop the next generation of our enterprise data platform.
What You Will Do
As a Data Engineer, you will:
- Design,
develop, and maintain scalable data pipelines using Azure Databricks.
- Build
and manage data ingestion processes from ERP, sales, logistics, finance,
warehouse, and external systems.
- Develop
and maintain Lakehouse data architectures following Medallion principles
(Bronze, Silver, Gold).
- Create
robust ETL/ELT processes using Databricks, PySpark, SQL, and Azure
services.
- Implement
data quality, validation, monitoring, and governance processes.
- Develop
and maintain dimensional data models to support business intelligence and
reporting requirements.
- Work
closely with Business Analysts, BI Developers, and Business Stakeholders
to translate business requirements into scalable data solutions.
- Optimise
data processing workloads for performance, reliability, and cost
efficiency.
- Support
real-time and batch data processing initiatives.
- Maintain
data lineage, metadata management, and governance standards using Unity
Catalog.
- Contribute
to continuous improvement initiatives and adoption of modern data
engineering best practices.
Who Are You?
To succeed in this role, you should possess:
Essential Skills and Experience
- Experience
working in a Data Engineering role.
- Strong
knowledge of SQL and relational databases.
- Experience
developing ETL/ELT pipelines.
- Experience
with Azure Databricks, Spark, or similar cloud-based data platforms.
- Strong
programming skills using Python and/or PySpark.
- Experience
designing and implementing data models and data warehouse solutions.
- Knowledge
of data governance, data quality, and master data management principles.
- Experience
integrating data from multiple systems and APIs.
- Strong
analytical and problem-solving abilities.
- Excellent
communication and stakeholder management skills.
- Ability
to work independently while remaining a collaborative team player.
Desirable Skills
- Microsoft
Azure Data Services.
- Delta
Lake and Unity Catalog.
- Azure
Data Factory.
- Power
BI and analytics platforms.
- MuleSoft
integrations.
- Experience
with Microsoft Dynamics Business Central or NAV.
- Databricks
Certifications.
- Azure
Data Engineer Associate Certification (DP-203).
What We Offer
- Opportunity
to work on a modern Azure Databricks Lakehouse implementation.
- Exposure
to large-scale distribution, retail, logistics, and supply chain datasets.
- International
project exposure across multiple African and European markets.
- Professional
growth within a well-established and rapidly evolving organisation.
- Collaborative
and innovative work environment.
- Competitive
remuneration package and benefits.
Why Join Us?
At Salvo Grima Group, data is at the heart of our
decision-making process. You will play a key role in helping the organisation
unlock greater value from its data assets while working with modern
technologies and a highly motivated technology team.
If you are passionate about data engineering, cloud
platforms, and building enterprise-scale data solutions, we would love to hear
from you.
Applications must include the following documents:
- Application
cover letter addressed to General Manager of Salvo Grima Rwanda Ltd
- Curriculum
vitae including your personal details, education level and experience
- Academic
certificates
- Name,
address and telephone numbers of three (3) references
Interested candidates should forward their application to
the email address provided bellow no later than 25th August 2026.
The required documents should be submitted in scanned soft
copies in PDF format (as one document) named after your name and position, for
example: Name_Data Engineer on Email: inforwanda@salvogrima.rw Successful
candidate will begin as soon as possible.
Please note that only candidates with the needed
qualifications and relevant experience will be shortlisted, if you don't hear
from us within two weeks after submission deadline, know that you have not been
shortlisted.
Done in Kigali, on 18th August 2026
The Management of
SALVO GRIMA RWANDA Ltd
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