Data Engineer

Organisation

Bluesquare is a fast growing technology company focusing on Global Health. Bluesquare’s goal is to help Global Health resources get where it matters the most. We partner with Global Health Funds, national governments, health service purchasers, and NGOs, to help them make smarter health investments. Bluesquare’s technologies are in use in more than 30 countries and support +60 different clients, including the World Bank, the WHO, the Global Fund to Fight HIV, TB and Malaria, the Bill and Melinda Gates Foundation, leading NGOs and consultancies.

For more information about who we are: https://bluesquarehub.com/

Mission and description of the role

This position would be mostly focused on the project Pathways.

Pathways is an open platform that provides insights on the multidimensional vulnerabilities faced by women and children in Low- and Middle Income Countries (LMICs), with the goal of transforming how we design solutions in global health, tailoring better to the realities of the field to enhance their impact, saving more lives.

As a Data Engineer, you will collaborate with a multicultural and multidisciplinary team composed of UI/UX designers, software engineers, data scientists, and data visualization experts.

Your main activities in the team will be to design, develop and maintain the data platform supporting the user-facing applications: public website, data explorer, dashboards, and mobile data collection forms.

Start date: as soon as possible.

Location: Based in Brussels (preferably) but willing to travel to other countries in order to support Bluesquare’s projects. Bluesquare takes into account the safety risks of its employees in the areas concerned.

Team: We are a horizontal company with more than 80 team members in multiple countries. The Data Science team is composed of friendly, supportive and enthusiastic young individuals distributed across Europe and Africa.

We value ownership, autonomy, flexibility, communication and teamwork. We strive for excellence in the solutions we provide for pressing challenges, emphasizing continuous self-improvement and supporting the individual development of our team members. Nevertheless, we firmly prioritize work-life balance, well-being, and recognizing each person as a unique individual for an optimal working environment.

Role and Responsibilities

Data Engineering & Architecture:

• Design, develop, and maintain ETL pipelines using Python and SQL.
• Deploy and monitor ETL pipelines in a cloud orchestrator.
• Contribute to data architecture and data modeling decisions.
• Integrate data from various sources (including mobile data collection platforms, relational databases, and 3rd party APIs) into analysis-ready data products.

Product development:

• Develop Python packages to support the work of data scientists and data analysts.
• Collaborate with clients and partners on product design and specification including processes, procedures and tools (product roadmap, user manual, training material, etc.).

Quality control:

• Review and automate scripts to ensure quality control of the released data integration work.

Technical writing:

• Write code documentation, users guidelines, articles and other materials that will be useful to communicate with our clients and other partners.

Additional responsibilities

• Contribute to the company visibility/networking on health data systems and Bluesquare visibility (blogs, product descriptions, events)

Our technical stack

You will have to work with the following technologies and software:

• Python or R for data processing (data wrangling, forecasting, operational research, geospatial)
• The Jupyter data science ecosystem
• Data visualisation tools and BI software (Tableau, PowerBI, Superset, Matplotlib, Plotly, Dash,…)
• Our own platforms, such as OpenHexa, Iaso and OpenIMIS
• Industry-standard tools such as DHIS2 and ODK
• Geospatial Software (GDAL, QGIS, Cartographic Rendering Software, etc.)
• Data

Profile

Required

• Proven experience in Python software development, with a focus on maintainability
• Good knowledge of SQL and relational databases (PostgreSQL)
• Strong quantitative, analytical and data modeling skills
• Excellent oral and written communication skills in English
• Ability to work autonomously
• Team player with good interpersonal skills

Preferred

• Experience with Python testing frameworks
• Hands-on experience with cloud-native DAG orchestrators (Airflow, Dagster)
• Experience with Docker, Kubernetes or deployment of containerized applications.
• Proficiency with AWS, Google Cloud, and/or Azure Cloud for data engineering
• Experience and familiarity with practices, software and working environment of CICD, DevOps.
• Experience with time series forecasting, operational research, supply chain, geosciences and machine learning frameworks.
• Experience in Global health, Health financing, Disease Surveillance, Geospatial or Monitoring and Evaluation in another sector a plus
• Working experience in Africa, Asia or Latin America
• Excellent oral and written communication skills in French

What we offer

We are open to considering candidates on a freelance basis or under an employment contract.

The position is full-time, offered as a fixed-term contract until the end of 2025, with the possibility of extension based on performance and project needs.

• Competitive Salary and benefits package
• Flexible work hours and extensive remote working options, as we entrust our team members, anticipating a responsible and conscientious utilisation of this trust.
• Exciting projects: use data to solve major issues (Health, Education, Waste management, Public Funding Optimization and more)
• Impact: manage data platforms impacting the lives of thousands of people
• Network: work in collaboration with a wide variety of actors within countries (Ministries, Donors, NGOs, Implementing partners, field staff, etc.)
• Hands-on experience: on-site visits and in-depth situation analysis, because we believe that nothing compares to experiencing first-hand the change one is contributing to.
• Exciting work environment: join a result-oriented, dynamic & diverse team committed to improve the accessibility and quality of health services, especially for the poorest

To apply, please send your CV and motivation letter to dataengineer@bluesquare1.odoo.com