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