20 publicaciones de empleo destacadas de stack developer en barcelona, ct (¡Están contratando!)

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bsport —Barcelona, Barcelona provincia
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Senior Technical Product Owner - Basket & Payment (m/f/d)
MEDIA MARKT SATURN TH SERVICES BARCELONA, S.A. —Barcelona, Barcelona provincia
- Jornada completa
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- Abono gimnasio
Solicitud rápida

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Data engineer (BI) - W/M/X

Veepee -
Barcelona, Barcelona provincia

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Detalles del empleo

Contrato indefinido

Cualificaciones

CI/CD
Power BI
Git
Inglés
Google Cloud Platform
Tableau
SQL
Docker
REST
APIs
Agile
Cloud
Relaciones Laborales
Data warehouse
Python

Descripción completa del empleo

Pioneer of online flash sales since 2001 and key player in European e-commerce, Veepee collaborates with over 7,000 brands to offer highly discounted products available for a limited time. Operating across various sectors, including fashion, home, wine, travel or beauty... Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5,000 staff members across 10 countries.

Job Description

At Veepee, we believe in the power of data. Our BI team's mission is to build the foundation that connects, empowers, and supports every Veepee user in making data-driven decisions. We are looking for a passionate Data Engineer to help us build and scale the infrastructure that makes this possible.

Our data warehouse is built on GCP (Google BigQuery) and we use dbt, but we are constantly evolving; we recently added Trino to our stack.

As a Data Engineer on our BI team, your primary mission will be to design, build, and maintain the scalable data pipelines and infrastructure that power Veepee's Business Intelligence ecosystem.

You will play a crucial role in evolving our technical stack, ensuring its reliability and performance while paving the way for AI-driven capabilities.

Develop and maintain high-performance Python-based services and APIs to support data integration, automation, and the operationalization of analytical models.

Build REST APIs with Flask and flask_restful.
Document and version APIs with Swagger or similar.
Apply best practices: error handling, validation, authentication/authorization, automated testing, and observability.

Own the orchestration, scheduling, and monitoring of data workflows and pipelines (e.g., using n8n or Airflow), ensuring data freshness and adherence to SLAs in collaboration with the Data Engineering platform team.

Champion and implement software engineering best practices, including version control with Git (branching, PRs, code reviews) and CI/CD for automated testing and deployment of data pipelines.

Collaborate with data governance, data engineers, data scientists, and data analysts in a young and international team (mainly based in Barcelona, Brussels, and Paris).

You will be a key technical partner for BI Developer and End Users, ensuring they have access to clean, reliable, and timely data to generate valuable insights, based on an AI-first strategy.

Core technologies in the role: Strategy (formerly MicroStrategy), Python, Google Cloud Platform (BigQuery), dbt, Git, workflow orchestration in n8n, and Swagger.

Your Profile

Have an engineering mindset and are passionate about building scalable, reliable data systems.
Highly organized with strong attention to detail and a commitment to quality.
Curious, proactive, and a natural problem-solver.
A strong team player who enjoys collaborating with technical and non-technical peers.
An excellent communicator, capable of explaining complex technical concepts clearly.

Must-have Skills

Proven experience as a Data Engineer, with a focus on building and maintaining data pipelines.
Experience with BI tools (e.g., MicroStrategy, Power BI, Tableau).
Solid command of SQL and data modeling fundamentals (design and optimization).
Experience developing in Python:
- Building REST APIs with Flask and/or flask_restful.
- API documentation with Swagger or similar.
Hands-on knowledge of dbt (modeling, tests, documentation, and data lineage).
Professional use of Git (branching, pull requests, code reviews) and exposure to CI/CD practices.
Familiarity with workflow orchestration (scheduling and monitoring jobs/pipelines).
Skilled at facilitating workshops and communicating effectively with stakeholders.
Fluent English (mandatory).

✅ Nice-to-have

Experience with MicroStrategy is a strong plus.
Use of mstrio-py for automation and MicroStrategy operations.
GCP/BigQuery environment experience (or equivalent cloud data warehouses).
Python data ecosystem: numpy (and/or pandas) for lightweight transformations and utilities.
Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
Hands-on experience with Jupyter Notebook.
A keen interest in generative AI and how it can be applied to improve data engineering and BI processes.
Commitment to continuous learning (conferences, trainings, etc.).

✅ BENEFITS

Variable bonus

Dynamic and creative environment within international teams

Access to many self-learning courses on our e-learning platform

Participation in meetups and conferences locally and internationally

Flexible Office with up to 2 days at home.

️ RECRUITMENT PROCESS

1️⃣ 30-minute HR Screen with a Veepeeᵀᵉᶜʰ Recruiter

2️⃣ Technical exchange

3️⃣ Manager Interview

COMPANY

For more information about our ecosystem : https://careers.veepee.com/en/home-page-en/

❓ WHO WE ARE

Veepeeᵀᵉᶜʰ is a tech community of 500 collaborators who play a key role in Veepee’s innovative strategy.

From Warsaw to Sevilla, through Brussels, Amsterdam, Paris, Lyon, Nantes, Nice, Barcelona, Madrid and Lausanne all our projects are developed in an agile environment with a wide skills variety where you’ll be sure to find your place, no matter the technology you work with.

If you love to try things why don’t you jump on this new adventure?

Vente-privee.com processes the collected data to handle the recruitment process, and to evaluate your ability to carry out the job offered and your professional skills. You can learn more about our use of your data and your rights by reading our recruiting privacy policy.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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