OverviewIn this role, you will design and maintain scalable data pipelines and support data operations in a global retail context.

You will contribute to production-grade ML solutions and collaborate with stakeholders to translate business needs into data-driven tech.

You'll ensure data quality and availability across the data platform, enabling impactful analytics and decision making.

This hybrid position in Barcelona offers exposure to cutting-edge tech and a integral, data-driven mission to transform retail.

Compensaciones / BeneficiosHybrid working model international environment dynamic, agile culture opportunity to work on meaningful projects global impact

ResponsabilidadesDesign, build, and maintain batch and real-time data pipelines

Drive end-to-end data operations: exploration, provisioning, cleaning, testing, lifecycle management





Implement statistical and machine learning algorithms in production

Collaborate with business stakeholders to translate needs into scalable technical solutions

Ensure data quality, integrity, and availability across the data infrastructure

Requisitos principalesProficiency in Scala, Python, and SQL

Hands-on experience with 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

Strong communication

Collaborative approach

Proactive problem-solver

Scikit-Learn

Pandas

Spark ML

📌 Senior Data Engineer - Barcelona
🏢 Melza Consulting
📍 Barcelona