Descripción del puesto:

Data Engineer (Hybrid - Barcelona)

Join a top 5 global retail group driving innovation through data

As part of a integral retail powerhouse, we serve over 6 billion customers across 13,700 stores in 32 countries, supported by 575,000+ employees. Were building the future of retail through cutting-edge technology and data, and were looking for talented, curious minds to join us on this journey.

At the heart of everything we do is development and progress for our people, our technology, and our customers.

Your Role

We are seeking a highly skilled and motivated Data Engineer to join our international team. You will help design and implement scalable data solutions, support data operations, and contribute to the development of statistical and machine learning algorithms that generate real business impact.

This is a fantastic opportunity to work in a dynamic, agile environment, surrounded by professionals who are passionate about using data to solve complex challenges.

What You Will Do

-
Design, build, and maintain batch and real-time data pipelines.

-




Drive end-to-end data operations, including exploration, provisioning, cleaning, testing, and lifecycle management.

-
Implement statistical and machine learning algorithms in production.

-
Collaborate closely with business stakeholders to transform business needs into scalable technical solutions.

-
Ensure data quality, integrity, and availability across the full data infrastructure.

Your Profile

-
Proficiency in Scala, Python, and SQL.

-
Hands-on experience with Big Data technologies: Spark, Kafka, Kubernetes, Hive.

-
Strong understanding of relational (e.g., SQL Server) and non-relational databases (e.g., MongoDB, ELK, Cassandra).

-
Experience working in Agile environments.

Nice-to-Have Skills

-
Knowledge of ML tools such as Scikit-Learn, Pandas, Spark ML, MLflow.

-
Familiarity with .NET development.

-
A passion for emerging technologies and continuous learning.

-
Proactive min

📌 Senior Data Engineer (Barcelona)
🏢 Melza
📍 Barcelona