Nuestro cliente: son un equipo de expertos en analítica de datos, impulsados por la pasión de construir soluciones de análisis de negocios de vanguardia. Ayudan a los responsables de la toma de decisiones, a entender y analizar sus datos para hacer llevar su negocio al siguiente nivel. Han entregado soluciones en toda Europa y EE.UU. para múltiples industrias como la aviación comercial, el comercio minorista, las finanzas y los seguros.
We are seeking a Data Engineer who thrives in solving complex data challenges. You will design, build, and optimize scalable data pipelines that transform raw data into actionable insights. With deep expertise in analytics, data modeling, DBT, Redshift, Python, and modern data ecosystems, you will enable smarter decisions across the business. You will join a senior, collaborative team where clarity, pragmatism, and impact drive everything we do.
Requirements:
- Minimum 3 years of experience coding and delivering complex data projects. - Expert knowledge of DBT Cloud, AWS Redshift and Python. - Spanish Native and English Advanced - Proven experience in Data Engineering roles. - Strong expertise in data modeling and pipeline construction. - Solid track record in integrating data from multiple sources (DBs, APIs, tracking systems). - Clear, pragmatic communication and a solution-driven mindset. - Positive attitude with passion for learning and embracing new challenges.
Pluses:
- Data Modelling - AWS - Docker - GitHub - DBT (Data Build Tool) - CI tools GitHub, Code Commit. - Bases de datos MPP: Redshift, Snowflake - SQL
Qué ofrecen:
- Equipo de alto rendimiento. - Horario de trabajo flexible. - Hybrid model (meetings 1/2 days per week in their offices of Barcelona 08018) - Programa de capacitación continua. - Increíbles eventos de Team building durante todo el año. - Contrato indefinido y remuneración atractiva en función de experiencia contrastada: 45-50K€ brutos/año.
Responsibilities:
- Design and implement robust data models that meet analytical and business needs. - Build, optimize, and maintain scalable data pipelines using DBT, AWS Redshift, and Python. - Lead data integration from diverse sources: databases, product tracking, APIs. - Develop clean, efficient Python code to automate and orchestrate data workflows. - Ensure data quality, governance, and consistency across systems. - Apply deep knowledge of AWS Redshift, S3, Docker, SQL, Kafka, and Git in day-to-day work. - Design and maintain data pipelines optimized for MPP databases. - Collaborate closely with analysts, data scientists, and business teams to deliver data solutions. - Approach new challenges with a positive mindset and a hunger to learn and grow.
📌 Data Engineer
🏢 Sabia Personal
📍 Lérida