MSF is an international, independent medical humanitarian organization. We are a non-profit, self-governed worldwide movement of more than 63,000 people.
We provide emergency medical assistance during armed conflict, natural disasters, outbreaks of deadly diseases and assist those who are excluded from healthcare. MSF delivers care based on need and when we see injustice, we speak out. We are an organization that remains impartial, knowledgeable, and effective, and this is what makes the difference between life and deat4h.
People are our priority. At Médecins Sans Frontières (MSF)/ Artsen zonder Grenzen , we are committed to an inclusive culture that encourages and supports the diverse voices of our employees. We encourage diverse applicants including individuals of all gender identities, ages, sexual orientations, nationalities, races, religions, beliefs, social and marital status, people with different abilities and all other diversity characteristics and how they work together.
With immediate effect, MSF OCA is currently looking for a:
Day in the life of a Data Engineer at MSF
You start your day with the bi-weekly operational update from the Operations department to hear what is going on in our projects, for instance in our Cholera project in Goma or vaccination campaign in South Sudan. Then it’s time to get to your engineering work, after you have quick stand-up with the team.
As you will be at least coding 50% of the time that day, you can focus on our key project to migrate our Python ETL code from Azure Batch accounts to Azure Databricks. You make sure the code aligns with best practices, optimize performance and build robust error handling.
In the late afternoon you have a brainstorming about the opportunities to automate monitoring and data quality checks for other projects, and to identify a possible implementation of a ML model into production that a data scientist has created. At the end of the day, as it happens to be Thursday, you join the team for a well-earned drink!
Objectives and characteristics of the role
As a Data Engineer at MSF, you will be responsible for designing, creating and maintaining the data processing pipeline in our Azure-based Central Data Hub (CDH). You set up connections to different sources , are not afraid to dive into the complex nesting of an API response and fancy the creation of a scalable, reusable framework for data ingestion. You’ll play a pivotal role in the migration to Databricks, working alongside our data platform engineer for infrastructure and analytics engineers for data modelling.
You will be part of our journey towards more (advanced) analytics and data democratisation; empowering the MSF-wide movement to do their own reporting and analytics through a Self-Service BI approach. You take colleagues along and introduce them to best practices with respect to data ingestion, SQL optimization and data modelling.
You are part of the Data & Analytics team (5 colleagues) and will work closely together with IT architects, AI developers, data security and privacy officers and our various stakeholders and data platform users all across MSF.
Design, build, and maintain reliable, reusable and scalable data pipelines feeding the Central Data Hub from a wide array of internal databases and external sources (including APIs)
Ensure data quality, reliability, performance, monitoring, and documentation of pipelines and datasets
You have at least 3 years of working experience as a Data Engineer, preferably with technologies like Azure Databricks, Azure Data Factory, Azure SQL Server and Microsoft Azure Data Lake Storage;
This is a permanent role. We start off with a 12-month contract, with the intention of renewing based on performance.
A gross monthly salary ranging between 4,87 5 - and 6,711-euros gross per month. The exact salary depends on relevant work experience.
If you recognise yourself in this profile, we welcome you to apply directly via our website and upload a letter of motivation + Curriculum Vitae (in English) as one combined document.
Deadline for application is 12 July 2026 at 23:59 CET.
If you are interested in this post and would like additional information, please contact Ali Hamdan (Recruitment Specialist) at [email protected]
