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 global, data-driven mission to transform retail.
Compensaciones / BeneficiosHybrid working model
international environment
dynamic, agile culture
opportunity to work on meaningful projects
integral 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 (España)
🏢 Melza Consulting
📍 España