Overview

In this role, you will design and maintain scalable data pipelines and support data operations in a general 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 / Beneficios

- Hybrid working model
- international environment
- dynamic, agile culture
- opportunity to work on meaningful projects
- global impact

Responsabilidades
- Design, 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 principales
- Proficiency 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