Data Engineer (Azure)

TL;DR

Data Engineer (Azure): Design and develop scalable data solutions and pipelines using Azure Data Factory, Databricks, and Fabric with an accent on data ingestion, transformation, modeling, and performance optimization. Focus on building robust ETL processes, automating deployments, and supporting advanced analytics and BI applications.

Location: Madrid, Barcelona, León or Santiago de Compostela | Hybrid work arrangement

Company

Global AI-powered software and cloud solutions provider with a footprint in over 70 countries and 13,000+ professionals.

What you will do

• Design and develop effective, scalable data solutions based on business requirements.
• Implement robust data pipelines using Azure Data Factory, Databricks, Fabric for ingestion, transformation, and loading.
• Create optimized data models for analytics and BI, ensuring data integrity and quality.
• Optimize performance of pipelines and databases, addressing bottlenecks for efficiency and scalability.
• Automate processes for deployment, monitoring, and maintenance of data pipelines.
• Provide technical support to team members and promote data-driven best practices.

Requirements

• 2-4 years of experience in Data Engineering.
• Experience with Azure Data Factory, Databricks, Synapse Analytics for data pipelines.
• Proven experience designing scalable data architectures in Azure ecosystem.
• Strong skills in SQL, Python, PySpark.
• Excellent problem-solving and attention to detail.
• Ability to work independently and collaboratively.
• Fluent Spanish required; Fluent English desirable.

Nice to have

• Azure ecosystem experience; GCP or AWS as advantage.
• Machine Learning or AI experience.
• Strong communication skills.
• Fabric or Databricks certifications.

Culture & Benefits

• Purpose-driven culture empowering cross-border work and innovation.
• World-class learning and development programs.
• Opportunities for global career growth.
• Commitment to equal opportunities and accommodations.