Azure Data Engineer: Pipelines, Analytics & Impact

Metyis; Barcelona; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

Metyis is seeking a data engineer to join our Barcelona team. You will own end-to-end data handling, from ingestion to analytics, collaborating with data scientists and stakeholders to enable data-driven decisions.

The role requires 1–2 years in data engineering, proficiency in SQL and Python, and experience with Databricks or pay-as-you-go DWH technologies. Fluency in English and Spanish is essential.

Formación

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 1–2 years of data engineering experience.
• Proficiency in SQL and Python.
• Experience with Databricks or other pay-as-you-go DWH technologies.
• Familiarity with big data technologies and distributed processing tools.
• Understanding of data integration and ELT processes.
• Good problem-solving and collaboration skills.
• Excellent written and verbal English and Spanish.

Responsabilidades

• Diagnose problems, disaggregate issues, develop hypotheses and implement solutions.
• Collaborate with teams to understand end-user requirements.
• Develop and maintain data pipelines using Databricks and other DWH tools, ensuring efficiency.
• Monitor pipeline performance and resolve issues promptly.
• Work with data lakes (e.g., Azure Data Lake Storage) to organize and store large datasets.
• Apply data quality and governance practices for accuracy, consistency and security.
• Support data scientists with data needs for analytics and ML tasks.
• Stay updated on data engineering, cloud tech and big data trends.
• Create and maintain documentation for pipelines, storage, and processing workflows.

Conocimientos

SQL

Python

Educación

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Herramientas

Databricks

Pay-as-you-go DWH

Azure Data Factory

Azure Data Lake Storage

Descripción del empleo

Metyis is seeking a data engineer to join our Barcelona team. You will own end-to-end data handling, from ingestion to analytics, collaborating with data scientists and stakeholders to enable data-driven decisions.

The role requires 1–2 years in data engineering, proficiency in SQL and Python, and experience with Databricks or pay-as-you-go DWH technologies. Fluency in English and Spanish is essential.