Senior Data Scientist - European Agency

Altia; Brussel; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

High-impact project

Collaborative work environment

Career Plan

Training Plan

Flexible Remuneration

Résumé du poste

Altia is seeking a Senior Data Scientist & Cloud Engineer focused on High-Performance Computing, cloud architecture, and large-scale geospatial/oceanographic data processing. You will design and optimise scalable workflows, migrate workflows between Cloud and HPC, and implement containerised Python solutions to ensure reproducibility.

The role combines advanced software engineering with scientific computing, offering opportunities to work on European-scale projects and contribute to innovative

Qualifications

• Experience in HPC, cloud architectures and large-scale scientific computing.
• Strong Python software engineering background for scientific workflows.
• Experience with geospatial and oceanographic data processing pipelines.

Responsabilités

• Develop and optimise HPC workflows for large-scale scientific applications.
• Migrate and optimise computational workflows between Cloud and HPC infrastructures.
• Build robust data processing and validation pipelines for geospatial/oceanographic datasets.
• Develop containerised Python-based solutions and CI/CD pipelines for reproducible computing environments.

Connaissances

Python programming

Geospatial data processing

HPC concepts

CI/CD

Cloud architecture

Outils

Python

scikit-learn

OpenStreetMap

SCHISM

GMSH

Singularity

Apptainer

Azure

Description du poste

Role

We are looking for a Senior Data Scientist & Cloud Engineer specialised in High-Performance Computing, Cloud Architecture, scientific computing, and large-scale geospatial and oceanographic data processing, combining advanced Python software engineering with extensive experience in migrating and optimising complex computational workflows.

Role

We are looking for a Senior Data Scientist & Cloud Engineer specialised in High-Performance Computing, Cloud Architecture, scientific computing, and large-scale geospatial and oceanographic data processing, combining advanced Python software engineering with extensive experience in migrating and optimising complex computational workflows.

Who We Are

Altia is a high-value digital transformation services company that has undertaken, changed, and reformulated international projects for nearly a thousand clients, leaders in their sectors, who have understood that their businesses can be revolutionized through digitalization. Over its 30 years of experience, it has proven to be a robust company with a future, a capacity for innovation, and adaptability.

The project

You will contribute to an international scientific and technological project supporting European institutions and agencies, focused on large-scale scientific computing, geospatial data processing, and the development and optimisation of HPC and Cloud workflows.

• Scientific & Geospatial Data Engineering: Develop and manage high-quality global datasets, integrating heterogeneous geospatial and oceanographic data from sources such as OpenStreetMap, satellite products, and scientific observation networks.
• HPC & Scientific Computing: Design, develop, and optimise high-performance computational workflows for large-scale scientific applications and numerical modelling.
• Mesh Generation & Numerical Modelling: Develop workflows for the generation of global unstructured meshes and support the calibration and optimisation of large-scale ocean modelling configurations.
• Cloud & HPC Migration: Design and execute the migration and transfer of complex HPC workflows between Cloud and European HPC infrastructures, ensuring portability, scalability, and reproducibility.
• Data Processing & Validation: Build robust processing and validation frameworks capable of handling very large scientific datasets and supporting the evaluation of numerical models.
• Software Engineering & Automation: Develop maintainable Python-based solutions and CI/CD pipelines, using containerisation to ensure reproducible and reliable scientific computing environments.

Stack

• Programming & Data Science: Python, scikit-learn, scientific computing and large-scale data processing.
• HPC & Scientific Computing: HPC, High-Performance Computing, EuroHPC, numerical modelling and computational optimisation.
• Cloud Architecture: Microsoft Azure, Cloud infrastructure and distributed computing.
• Containers: Singularity, Apptainer, containerised scientific workflows and reproducible environments.
• CI/CD & Automation: CI/CD pipelines, workflow automation and software delivery practices.
• Scientific & Geospatial Technologies: SCHISM, GMSH, OpenStreetMap (OSM), oceanographic and geospatial datasets, satellite L3/L4 products and ARGO data.
• Data Engineering & Validation: Large-scale scientific datasets, model calibration, validation frameworks and heterogeneous data integration.

What we offer

• High-impact project
• Collaborative work environment
• Career Plan
• Training Plan
• Flexible Remuneration

The present job offer is drafted taking into account impartiality and non-discrimination on the grounds of gender, race, ideology, or any other reason. Especially, it takes into account the respect for the current regulations regarding gender equality between women and men (Royal Decree-Law 6/2019).