Data Engineering Analyst: Build End-to-End Data Pipelines

Consultancy Europe; Barcelona; Presencial; EUR 45.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competive

Descripción de la vacante

Metyis is a global firm delivering Big Data, Digital Commerce, Marketing & Design solutions and advisory services. Based in Barcelona, we seek a data engineer to build and optimize end-to-end data pipelines, collaborate with data scientists, and contribute to scalable data solutions across industries.

Ideal candidates have 1–2 years in data engineering, strong SQL and Python skills, and familiarity with cloud-based data platforms like Azure Data Factory and Databricks.

Formación

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 1–2 years of experience in a data engineering role.
• Proficiency in SQL and Python.

Responsabilidades

• Diagnose data issues and design robust data pipelines.
• Collaborate with teams to understand end-user requirements.
• Develop and maintain data pipelines using Azure Data Factory and related tools.
• Monitor pipeline performance and resolve data-related issues promptly.
• Work with Azure Data Lake Storage to organize large datasets.
• Apply data quality and governance best practices.

Conocimientos

SQL

Python

Data engineering

Educación

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

Herramientas

Azure Data Factory

Azure Data Lake Storage

Databricks

Pay-as-you-go DWH Technologies

Descripción del empleo

Metyis is a global firm delivering Big Data, Digital Commerce, Marketing & Design solutions and advisory services. Based in Barcelona, we seek a data engineer to build and optimize end-to-end data pipelines, collaborate with data scientists, and contribute to scalable data solutions across industries.

Ideal candidates have 1–2 years in data engineering, strong SQL and Python skills, and familiarity with cloud-based data platforms like Azure Data Factory and Databricks.