Data Engineering Analyst (Azure)

TL;DR

Data Engineering Analyst (Azure): Developing and maintaining data pipelines and managing large datasets using Azure Data Factory and Databricks with an accent on efficient ELT processes and data governance. Focus on building robust data infrastructure to support data scientists in acquisition, exploration, and visualization tasks.

Location: Must be based in Barcelona, Spain

Company

Global firm providing AI & Data, Digital Commerce, and Advisory services across a wide range of industries.

What you will do

• Develop and maintain data pipelines using Azure Data Factory and other cloud technologies.
• Manage and store large datasets with Azure Data Lake Storage, ensuring accessibility and organization.
• Implement data quality and governance best practices to ensure accuracy and security.
• Collaborate with data scientists to provide necessary support for analytics and machine learning tasks.
• Diagnose problems, develop hypotheses, and execute relevant technical solutions.
• Create and maintain comprehensive documentation for data pipelines and processing workflows.

Requirements

• 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.
• Experience with Databricks or other pay-as-you-go DWH technologies.
• Familiarity with big data technologies and distributed processing tools.
• Excellent written and verbal communication skills in English and Spanish.

Culture & Benefits

• Regular interaction with senior stakeholders to drive impactful business change.
• Collaborative environment with highly skilled multidisciplinary experts.
• Opportunity to become the end-to-end expert for data handling and analytics processes.
• Part of a fast-growing, international, and diverse team.
• Workplace committed to diversity, equity, inclusion, and belonging (DEIB).