Ofertes d'ocupació de Enginyer/a de Dades a Barcelona

• Nivell d'experiència---
• Tipus de contracteA temps complert
• PublicadaNova

Python TSQL Kubernetes Microservices OpenShift AWS DevOps PostgreSQL Terraform Docker Spark

• Location: Barcelona - Spain
• Grade: 2.2
• Hiring Manager: Ratan Roy
• Hybrid
• Full time
  
  

• Establish technical designs to meet Sanofi requirements aligned with the architectural and Data standards
• Ownership of the entire back end of the application, including the design, implementation, testing, and troubleshooting of the core application logic, databases, data ingestion and transformation, data processing and orchestration of pipelines, APIs, CI/CD integration and other processes
• Fine-tune and optimize queries using Snowflake platform and database techniques
• Optimize ETL/data pipelines to balance performance, functionality, and other operational requirements
• Assess and resolve data pipeline issues to ensure performance and timeliness of execution
• Assist with technical solution discovery to ensure technical feasibility
• Assist in setting up and managing CI/CD pipelines and development of automated tests
• Developing and managing microservices using python
• Conduct peer reviews for quality, consistency, and rigor for production-level solution
• Design application architecture for efficient concurrent user handling, ensuring optimal performance during high usage periods
• Promote best practices and standards for code management, automated testing, and deployments
• Own all areas of the product lifecycle: design, development, test, deployment, operation, and support
• Create detail documentation on Confluence to be able to support and maintain codebase and its functionality
  
  

• Experience developing backend, integration, data pipelining, and infrastructure with relevant technologies and tools (Snowflake, AWS, Spark, Informatica/IICS or equivalent).
• Bachelor’s degree in computer science, engineering, or similar quantitative field of study
• Expertise in database optimization and performance improvement
• Expertise in Python, PySpark, and Snowpark
• Experience data warehouse and object-relational database (Snowflake and PostgreSQL) and writing efficient SQL queries
• Experience in cloud-based data platforms (Snowflake, AWS)
• Proficiency in developing robust, reliable APIs using Python and FastAPI Framework
• Experience with job scheduling and orchestration (Airflow is a plus)
• Expert in ELT and ETL & Experience working with large data sets and performance and query optimization.
• Understanding of data structures and algorithms
• Experience in modern testing framework (SonarQube, K6 is a plus)
• Strong collaboration skills, willingness to work with others to ensure seamless integration of the server-side and client-side
• Knowledge of DevOps best practices and associated tools, a plus, especially in the setup, configuration, maintenance, and troubleshooting of associated tools:
• Containers and containerization technologies (Kubernetes, Argo, Red Hat OpenShift)
• Infrastructure as code (Terraform)
• Monitoring and Logging (CloudWatch, Grafana)
• CI/CD Pipelines (JFrog Artifactory)
• Scripting and automation (Python, GitHub, Github actions)
  
  

• Fluent spoken and written English
  
  

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
• Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health.
• Work on Global programs in a truly International and multi-cultural environment.
• Work with highly qualified teams using state-of-the-art technologies to shape the future of Sanofi.
  
  

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada13 de juny

Python TSQL Cloud Coumputing AWS

Buscamos un perfil con experiencia sólida en ingeniería de datos, especializado en entornos cloud y tecnologías como Snowflake, AWS y Python. La persona seleccionada se integrará en un equipo técnico multidisciplinar, participando en proyectos de integración, modelado y calidad del dato en un entorno de trabajo colaborativo y exigente.

Responsabilidades
Desarrollo de soluciones de integración de datos (ETL) escalables y eficientes.
Implementación y optimización de procesos sobre Snowflake.
Desarrollo en entornos AWS, utilizando herramientas nativas de datos.
Creación de scripts en Python para automatización y transformación de datos.
Participación en iniciativas de modelado, gobierno y calidad del dato.
Trabajo en equipo con otros ingenieros de datos y áreas funcionales.

Requisitos imprescindibles
Grado o máster en Ingeniería Informática, Ingeniería de Datos o similar.
Entre 3 y 5 años de experiencia en ingeniería de datos o puestos similares.
Experiencia desarrollando sobre Snowflake.
Experiencia en entornos AWS.
Conocimiento de Redshift y uso de GitHub en entornos colaborativos.
Dominio de procesos ETL, data warehousing e integración de datos.
Nivel alto en programación con Python (librerías y herramientas orientadas a datos).
Dominio de SQL.
Conocimientos en modelado de datos, gobernanza y calidad del dato.
Nivel de inglés B2 o superior.

Se valorará
Capacidad de análisis y resolución de problemas.
Habilidades de comunicación y trabajo en equipo.
Experiencia previa en proyectos con equipos de datos distribuidos.

Condiciones del puesto
Ubicación: Viladecans (Barcelona).
Presencialidad: 2-3 días por semana en las oficinas del cliente.
Formato: Híbrido.
Proyecto estable y con continuidad.
Entorno de trabajo colaborativo, con equipos altamente cualificados.
Posibilidades de crecimiento y desarrollo profesional.

Fomentamos un ambiente de trabajo multicultural e inclusivo, no discriminamos por edad, género o creencias; así como ofrecemos igualdad de oportunidades a todo el personal.
Desarrollamos nuestras actividades bajo los principios del cuidado del medioambiente, la sostenibilidad y la responsabilidad social corporativa; colaborando en proyectos de reforestación y sostenibilidad.
Apoyamos los 10 principios del Pacto Mundial y los 17 Objetivos de Desarrollo Sostenible, en materia de derechos humanos, condiciones laborales, medio ambiente y anticorrupción.
Los procesos de reclutamiento se desarrollan bajo altos estándares de calidad definiendo la incorporación en base a la experiencia y habilidades del candidato.
Somos una empresa española líder en servicios tecnológicos y atracción del talento presente en el mercado desde 1995. Contamos con más de 600 empleados en proyectos tanto nacionales como internacionales en sector TI.

• Flexibilitat horàriaSi
• Nivell d'experiènciaNivell intermitg
• Tipus de contracteA temps complert
• Publicada12 de juny

C# Python C++ Machine Learning Office

Junior Machine Learning Engineer (GenAI Modelling)

The AI Lab (under the well-known Technology and Innovation Office) is responsible for bringing state-of-the-art research in Generative AI (and AI in general) to HP’s product portfolio to solve top user needs and enable all new type of user experiences. The team will be in two main locations: Sant Cugat (ESP) and Palo Alto (US). The AI Lab goal is to operationalize the Gen AI model lifecycle, build models to support the top initiatives within Personal Systems, and do research on Generative AI. We are looking for a Junior Machine Learning Engineer with expertise and passion in the Gen AI space.

The AI Lab is seeking an individual to join our team as an ML Engineer in our HP Sant Cugat R&D unit. The candidate will research and develop generative AI models and work with other team members and business unit partners to develop proof-of-concept prototypes and help move technologies to product. Also, the candidate should be able to collaborate with other scientists, developers, and product managers on new applications. Strong communication skills are required.

Responsibilities

• Help execute the technical strategy of the AI Lab with the goal of supporting HP ambitious AI roadmap.
• Support the application of new processes and standards to ensure that the teams are building high quality and safe models.
• Develop tooling to support the model lifecycle and encourages the use of best practices.
• Adopts state-of-the-art Gen AI modelling (finetuning) and evaluation techniques.
• Help develop strategic engineering proof of concepts in the Gen AI space.
  
  

• BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. MSc related to Generative AI would be a plus.
• Between 0 - 3 years of work experience, internships related to the job content would also be valuable. Exposure to Gen AI in previous projects / internships.
• Good communication and interpersonal skills, with the ability to collaborate effectively and learning with agility.
  
  

• Programming Language/s certification (Python, and C++ / C# is a plus).
• Knowledge of machine learning, deep learning, generative AI and statistical modelling.
• Finetuning or evaluation work pursued in generative AI and machine learning (LLMs, LVMs) development and deployment.
• Experience leveraging models from repositories such as Hugging Face.
• Experience with deep learning frameworks such as PyTorch.
• Optional: Contributions to the AI community (e.g., publications, patents, open-source projects, or participation in conferences and workshops).
  
  

• Opportunity to work in an international organization with colleagues coming from all over the world.
• Diverse, continued internal growth and career opportunities. Including HP’s own learning platform and LinkedIn Learning.
• An attractive benefits package:
• Health & Life insurance.
• Lunch at reduced prices at our canteen/ ticket restaurant vouchers.
• HP product discount.
• Work life balance / flexible working hours.
• Women, Pride, Young employees, Sustainability and DisAbility! Just a few of our fantastic global business networks you can get involved with locally.
• We also dedicate time and resources to contribute with our community through Corporate Volunteering activities, including our onsite HP Charity day.
• Do you like to give back to the community? Then join one of our many volunteering teams or be a part of the incredible HP charity day held on site annually.
• Love sports? Then take advantage of our sports center (indoor and outdoor) with 25+ regular coordinated activities.
• We have an onsite Doctor and medical team for our employees, including services such as: nutrition, physiotherapy, and general health.
• Printing Happy hour – from photographs to large posters. And Hands-on workshops to print with the latest technology – from wall covers to 3D printed models.
• Our Women Network organizes activities such as Networking, the promotion of STEM vocations, talks on, improving business acumen, work life balance and skills of the future, etc.
  

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada12 de juny

React Java Python Azure Docker Cloud Coumputing Kubernetes Ansible Elasticsearch Oracle AWS DevOps Terraform

We help businesses achieve their vision, no matter the size or industry.

We´re looking for a DevOps Engineer to join our team at Oracle-NetSuite. As part of our team, you will be responsible for developing and maintaining data capturing infrastructure, metrics definitions and engineering tooling solutions for NetSuite and other internal projects. You will also participate on development of staging and testing environments in OCI (Oracle Cloud Infrastructure) and in design discussions with the team, contributing your ideas to help shape the future of our products (code review, planning). You will be creating and improving our current service deployment infrastructure using automation and the latest cloud capabilities to improve agility, reliability, and observability.

This position is focused more on a development work using industry leading technologies with a great opportunity to learn and grow. This is not an on-call position, and while you may be required to react quickly to operational issues during common business hours, most of your time will be spent on planned projects.

Preferred Qualifications and Experience
- Computer science or engineering degree (bachelor or above)
- Programming or scripting skills (Python or Java)
- Familiarity with Linux-based OS
- Experience with shell scripting
- Experience with version control systems
- Basic knowledge of TCP/IP networking

Nice to Have
- Experience with cloud infrastructure (E.g., OCI, AWS, GCP, Azure)
- Interest in Elasticsearch, Opensearch, Kibana, Grafana tools
- Interest in programmatic data processing and visualization using Pandas, Plotly
- Object oriented software development skills (Java, etc.)
- DevOps mindset and familiarity with some of the DevOps technologies (Docker, Kubernetes, Terraform, Ansible, etc.)

Career Level - IC2

Qualifications

Career Level - IC2

About Us

As a world leader in cloud solutions, Oracle uses tomorrow´s technology to tackle today´s challenges. We´ve partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That´s why we´re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada10 de juny

Teletreball MongoDB Python TSQL Azure NoSQL Cloud Coumputing DevOps PostgreSQL Terraform

Description
En Krell Consulting, nos encontramos en la búsqueda de un DevOps DATA IA, para unirse a nuestro equipo, en proyecto del sector seguros, en remoto.

PERFIL: DevOps Data Engineer GenAI
SECTOR: Seguros
MODALIDAD DE TRABAJO: 100% remoto (desde España)

REQUERIDO:

- Fluent English (B2+ Minimum)
- 3+ years of experience in data engineering, with a focus on building and managing ETL pipelines. Experience working as Data Engineering and DevOps for Infrastructure (IaC Terraform) & Applications are required.
- ML Operations
- Deploying ML models
- RAG & LLM (OpenAI, …, Azure services)
- Experience with SQL: Postgresql (Vector db), NoSQL: CosmosDB, MongoDB (both: creation, querying, optimization, deployment with Terraform)
- Proven experience with Microsoft Azure Cloud environment and services (e.g., AI Service, Azure Data Factory, Azure Synapse Analytics)
- Python refactoring code.
- Maintenance of the infrastructure: Create, Config, Run, Fix etc.
- Deployment of ML Models
- Maintenance of ML Models
- Code refactoring (Python)
- Creation of Data-Pools (Databases, DWH, Data Lake etc.)
- NoSQL (Mongo and CosmosDB) + SQL (Postgres Vector)
- Maintenance of Data Pools
- CI/CD Deployment pipelines Dev -> Test -> Prod for ETL Pipelines, ML Applications, Data Pools etc.

OFRECEMOS:
Contrato indefinido
Si estás interesado, no dudes en aplicar a la posición.

Únete a Krell-Consulting ¡Te esperamos! 🎉

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada10 de juny

Teletreball MongoDB Python TSQL Azure NoSQL Cloud Coumputing DevOps PostgreSQL Terraform

Description

En Krell Consulting, nos encontramos en la búsqueda de un DevOps Data Python, para unirse a nuestro equipo, en proyecto del sector seguros, en modalidad remota.

PERFIL: Senior DevOps Data Engineer
SECTOR: Seguros
MODALIDAD DE TRABAJO: Remota 100% (desde España)

REQUERIDO:
- Fluent English (B2+ Minimum)
- 3+ years of experience in data engineering, with a focus on building and managing ETL pipelines. Experience working as Data Engineering and DevOps for Infrastructure (IaC Terraform) & Applications are required.
- Knowledge of data governance and data security best practices.
- Experience with SQL: PostgreSQL (Vector db), NoSQL: CosmosDB, MongoDB (both: creation, querying, optimization, deployment with Terraform).
- Proven experience with Microsoft Azure Cloud environment and services (e.g., AI Service, Azure Data Factory, Azure Synapse Analytics).
- Familiarity with DevOps practices and CI/CD pipelines.
- Knowledge on infrastructure deployment via Terraform.
- ML deployment.
- Python refactoring code.
- Working with other engineers.
- Deploying application.
- ML deployment.
- Planning and implementing releases.
- Terraform development.

OFRECEMOS:
Contrato indefinido.
Si estás interesado, no dudes en aplicar a la posición.

¡Esperamos recibir tu postulación y conocerte pronto! 🚀

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada9 de juny

Teletreball React Azure Cloud Coumputing Kubernetes Ansible Ruby AWS Ruby on Rails Terraform Office

Hello!

We´re looking for a Senior Site Reliability Engineer to join the Infrastructure team in the Platform Domain.

We want someone who will add positively to the team´s culture, being fully remote and multi-cultural.

We are looking for profiles that have solid experience monitoring and troubleshooting large-scale application deployments on the cloud, ideally including:

- Terraform or Ansible for IaC,

- Datadog, Grafana or OpenTelemetry,

- using public cloud services like AWS or Azure and

- debugging issues in a Kubernetes cluster

Please note this is not a backend or frontend Software Engineering role.

Platform Domain
Our mission is to keep the Factorial application running 24/7, ensure its performance, scalability and security, as well as research improvements to enable Product Engineers to develop new use cases adding value to our customers.
The Engineering team at large
At Factorial, we have a team of +150 very talented fullstack developers. We look for smart people who are curious, proactive and have good soft/communication skills.

The main application uses Ruby on Rails for the backend and React for the frontend.

If you’re looking for new challenges in a people-first company, keep reading!
Your profile

- You are a team player: You are comfortable helping your teammates, sharing your knowledge, reviewing their code and asking for reviews of your own.

- You have a user-centric mindset: You know that the only reason we write code is to help our users to perform their tasks.

- You are a learner: you want to improve your skills not only in the engineering field but across any other areas.

- You are an owner: You like proposing new hypotheses and being responsible for building, deploying and validating them.

- You love understanding: Breaking down complex problems into basic and shareable elements.

- You are T-shaped: You can tackle tasks in different areas of Infrastructure, with deeper knowledge in one or two.

- You are a mentor: You love to share your experience and expertise to help others grow.

- You have roughly 8+ years of experience working as a Software or Systems Engineer and at least 3 years as cloud SRE.

- You are used to communicating in English in a professional environment.

- You can travel to Barcelona once per quarter with at most half a day travel time.

At Factorial we don´t evaluate you by the years of experience you have, we evaluate your knowledge and skills. How? We have a Career Path with a rubric framework where we define what is expected for each experience level and skill. This framework allows you to know at which level you´re right now and what you need to keep growing. As we love transparency, our Career Path includes the salaries for each level and we share it during the first interview to make sure we´re aligned.

For this senior-level position, the annual gross salary is 60,500€ regardless of your location. This includes a base salary of 55,000€ and a variable pay of up to 5,500€ annually (paid quarterly), depending on the company´s goals.
Your daily life with us
You’ll start with a 2 weeks onboarding period, where you will:

- Learn about Factorial: our product, our team, our clients

- Pair with each member of the team at least once, to see their current initiatives

- Solve low-stake bug tickets or quick wins

- Commit early and often thanks to our preprod and demo environments

- Be fully integrated in the team’s rituals from day 1

You will be a product-centric engineer, taking ownership of big initiatives, and being interested in the outcome, not just the output. About the outcome, you’ll also work with your team members to establish goals and plan a quarterly roadmap, putting special attention to the technical needs of our domain.

You will review code, and get feedback on your own code.

You will learn from the entire team, both on technical topics (performance, architecture…) and core skills, in an environment driven by engineering quality.

You will share your knowledge, through the RFCs you write, pairing sessions, our mentoring programme or the occasional appearance in the monthly Tech All Hands.

Benefits

We care about people and offer many benefits for employees:

- High growth, multicultural, and friendly environment

- Continuous training and learning based on your needs

- Alan private health insurance

- Healthy life with Gympass (Gyms, pools, outdoor classes) ♀

- Save expenses with Cobee

- Language classes with Yolk Academy

- Get the most out of your salary with Payflow

And when at the office...

- Breakfast in the office and organic fruit

- Nora and Apetit discounts

- Pet Friendly

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada8 de juny

Python TSQL Spark Hadoop Ciencia de datos AWS Extraer transformar y cargar (ETL) Hive Almacenamiento de datos Ingeniería de datos

¿Eres un apasionad@ de la ingeniería de datos y te interesa seguir

desarrollando tu carrera como Data Engineer en proyectos estables?

¿Cuál será tu día a día?

- Diseño, implementación y mantenimiento de canalizaciones de datos escalables para la ingestión, el procesamiento y la transformación de datos.

- Optimización y automatización de los flujos de trabajo para garantizar la disponibilidad y frescura de los datos.

- Contribuir a las iniciativas de automatización integrando modelos de IA en los procesos empresariales.

- Desarrollo y gestión de los modelos de datos y esquemas adaptados a las necesidades de análisis e informes.

- Garantizar la escalabilidad y la eficiencia de las estructuras de datos alineadas con los objetivos empresariales estratégicos.

- Limpiar, transformar y enriquecer conjuntos de datos sin procesar para mejorar la usabilidad y la fiabilidad para el análisis.

- Integración de datos de múltiples fuentes en conjuntos de datos unificados y coherentes.

- Escribir secuencias de comandos para procesar, editar, modificar y limpiar campos de datos textuales.

- Establecer y aplicar normas y protocolos de calidad de datos para garantizar su integridad.

- Supervisar, identificar y resolver rápidamente los problemas relacionados con la calidad de los datos.

- Imponer medidas de seguridad de los datos y el cumplimiento de la normativa pertinente sobre privacidad.

- Implantar controles de acceso, cifrado y otras medidas para salvaguardar la información confidencial.

- Documentar exhaustivamente los procesos de datos, incluidos los canales, los flujos de trabajo y los diccionarios de datos.

- Colaborar estrechamente con equipos multifuncionales para comprender los requisitos y ofrecer soluciones eficaces.

¿Qué nos gustaría ver en ti?

- Experiencia práctica con Snowflake o ClickHouse.

- Dominio del desarrollo en entornos Snowflake y AWS.

- Sólidos conocimientos en almacenamiento de datos, procesos ETL e integración de datos.

- Experiencia en secuencias de comandos de Python y familiaridad con las bibliotecas y herramientas de Python.

- Conocimientos avanzados de SQL.

- Conocimiento profundo del modelado de datos, la gobernanza y las mejores prácticas de calidad.

- Excelentes capacidades de comunicación, resolución de problemas y colaboración.

- Sentirse cómodo trabajando en un equipo de datos interfuncional.

- Inglés nivel avanzado.

También te interesaría saber:

• Modalidad: híbrida - 3 días de oficina.
• Ubicación: Viladecans (BCN).
• Proyecto estable.

Tus beneficios: ¿A qué esperas para formar parte de nuestro gran equipo

Randstad Digital?, aquí encontrarás motivos para ello:

PLAN DE FORMACIÓN CONTINUA, plan de formación anual, acceso a

plataforma elearning de formación técnica, plataforma de formación en

habilidades...

ACOMPAÑAMIENTO Y PLAN DE CARRERA, Tendrás un referente de

Randstad Digital cerca de ti en todo momento.

CONCILIACIÓN, Sabemos que tu vida personal es tan importante como la

profesional por eso podrás disfrutar de 23 días de vacaciones y en la

mayoría de nuestros proyectos tendrás un horario flexible.

COMPROMISO y ESTABILIDAD, Incorporación a empresa en continuo

crecimiento que apuesta por las nuevas tecnologías.

SALARIO COMPETITIVO acorde a tu experiencia profesional.

CONDICIONES contractuales competitivas, Plan de retribución flexible

(tarjeta restaurante y cheques guardería) y Randstad Care, plataforma de

ofertas y descuentos exclusivos.

PLAN TRÁETE UN AMIG@, si nos ayudas a incrementar el equipo, te

premiaremos con una compensación económica.

Se garantiza la confidencialidad en el proceso de selección.

¿Tienes ganas y te ves preparado/a para asumir un nuevo reto como el

nuestro?

¡Te estamos esperando! https://www.youtube.com/watch?v=JJVLc3JtdsA

#somosRSC Randstad promueve la equidad de oportunidades laborales

a través de equipos diversos e inclusivos. Por ello, en nuestros

procesos, garantizamos la inserción de todas las personas

independientemente de su condición personal, género, orientación

sexual, etnia, cultura, edad, religión o discapacidad.

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada7 de juny

Python Machine Learning

Machine Learning Engineer – AI Factory (Earth Sciences Department)

Employer

Barcelona Supercomputing Center

Location

Barcelona, Spain

Sector

Other

Atmospheric Sciences (AS)

Climate: Past, Present & Future (CL)

Earth and Space Science Informatics (ESSI)

Type

Full time

Level

Experienced

Open

Other

Preferred education

2 July 2025

Posted

Reference: 406_25_ES_CES_RE1

Job title: Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)

About BSC

The Barcelona Supercomputing Center – Centro Nacional de Supercomputación ( BSC - CNS ) is the leading supercomputing center in Spain.

It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe.

The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress.

BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.

Look At The BSC Experience:

BSC- CNS YouTube Channel

Let's stay connected with BSC Folks!

We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research.

In instances of equal merit, the incorporation of the under-represented sex will be favoured.

We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.

If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer.

We value diversity of experiences and skills, and you could bring unique perspectives to our team.

Context And Mission

The Barcelona Supercomputing Center ( BSC ) is seeking a Machine Learning Engineer to join the Earth Sciences department within the framework of the AI Factory initiative.

The AI Factory is a major European project aimed at accelerating the adoption and development of artificial intelligence across industry sectors that is deploying a comprehensive set of AI-focused services, including robust training, networking, and innovation support structures.

Its mission is to foster the uptake and effective use of AI, particularly among SME s and startups across participating countries, and to strengthen the European innovation ecosystem.

These services are powered by the AI-specific partition of the MareNostrum5 supercomputer, one of the most advanced infrastructures in Europe, designed to meet the evolving AI needs by harnessing the latest AI-oriented computing technologies.

Within the Earth Sciences department, the selected candidate will support the development and deployment of AI services related to climate change use and test cases, contributing to real-world applications and scientific advancements.

Additionally, the selected candidate will be coordinating the availability and integration of AI software, developed internally by consortium members or externally by third parties, on the MareNostrum5 AI partition, ensuring smooth support for the wider AI Factory user community.

This project is funded by the European Union's Recovery and Resilience Facility, in accordance with Council Regulation (EU) 2020/2094 of 14 December 2020, and regulated by Regulation (EU) 2021/241 of the European Parliament and of the Council of 12 February 2021, in the context of the "BSC AI Factory" project.

The BSC AI Factory project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101234399.

The JU receives support from the European Union's Horizon Europe Programme and Spain, Portugal, and Türkiye.

Support the documentation and curation of AI software employed in the AI Factory

Support the deployment and maintenance of AI software on MareNostrum5 AI partition

Design, implement, and optimize machine learning pipelines for environmental-related applications.

Collaborate with domain scientists and external users to develop AI solutions

Support users from the AI Factory in accessing and utilizing AI tools and services.

Participate in collaborative development within the AI Factory consortium.

Participate in technical reporting and scientific publications contributing to the documentation of the AI Factory software, with opportunities to be involved in academic publications and project reporting.

Requirements

Education

Bachelor's or Master's in Computer Science, Machine Learning, Data Science, Environmental Sciences, or a related field.

Essential Knowledge And Professional Experience

Strong programming skills in Python, with experience in machine learning libraries such as PyTorch, Tensorflow, and Scikit-learn.

Proven experience in developing and training machine learning models, particularly deep learning architectures.

Strong background in handling, analyzing, and validating large-scale datasets.

Experience working in a UNIX -based computational environment.

Additional Knowledge And Professional Experience

Familiarity with climate, weather, and Earth system datasets (NetCDF, Zarr).

Experience in high-performance computing ( HPC ) and parallelized machine learning workflows.

Proficiency in GPU -accelerated machine learning frameworks such as TensorFlow, RAPIDS , JAX , and/ or distributed training using Dask.

Understanding of climate and weather models.

Competences

Strong problem-solving and analytical skills, with the ability to optimize computational workflows.

Ability to work independently while collaborating effectively in a research environment.

Excellent communication skills, with a strong ability to document and present research findings.

Proficiency in written and spoken English.

Conditions

The position will be located at BSC within the Earth Sciences Department

We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures

Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration

Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement

Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona

Starting date: As soon as possible

Applications procedure and process

All applications must be submitted via the BSC website and contain:

A full CV in English including contact details

A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered.

Additionally, two references for further contacts must be included.

Applications without this document will not be considered.

Development of the recruitment process

The selection will be carried out through a competitive examination system ("Concurso-Oposición").

The Recruitment Process Consists Of Two Phases:

Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position.

– 40 points

Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources.

In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated.

– 60 points.

A minimum of 30 points out of 60 must be obtained to be eligible for the position.

The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.

In accordance with OTM -R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process.

After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview.

At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.

The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.

At BSC , we seek continuous improvement in our recruitment processes.

For any suggestions or comments/complaints about our recruitment processes, please contact ****** .

For more information, please follow this link.

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