Design, develop, and maintain data models that support analytical needs across various business domains.
Create domain entities to ensure data is organized and accessible for analysis, reporting, and business intelligence with normalized data model.
Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and translate them into effective data solutions.
Implement data integration processes using Azure Data Factory, Azure Databricks, and other ETL tools.
Utilize Python for data manipulation, transformation, and analysis within Azure Databricks.
Optimize data storage solutions in Azure, ensuring efficient retrieval and performance.
Monitor and troubleshoot data ingestion and transformation pipelines and processes to ensure data quality and integrity.
Maintain documentation of data models, architecture, and processes for reference and compliance.
Stay updated with the latest trends and technologies in data engineering and Azure services to continuously improve data solutions.

Bachelor’s degree preferably in computer science, Information Technology, or a related field.
5+ years of experience in data engineering or a related field, preferably in an Azure environment.
Proven experience as a Data Engineer, preferably in an Azure environment.
Strong proficiency in Azure services, including Azure SQL Database, Azure Data Lake, Azure Data Factory, Azure Data Factory and Azure Synapse Analytics.
Experience with data modelling techniques and methodologies.
Proficiency in Python for data processing and analysis.
Familiarity with programming languages such as SQL and PySpark.
Knowledge of data warehousing concepts and best practices.
Excellent problem-solving skills.
Strong communication and collaboration skills to work effectively with cross-functional teams and global teams.
Knowledge of data governance and compliance frameworks.

Responsibility from day one in a challenging work environment and "on-the-job" training as part of a committed team.
Adequate compensation according to your qualifications and experience.
A secure work environment because your health, safety and wellbeing is always our top priority.
Flexible work schedule and Home-office options, so that you can balance your working life and private life.
Learning and development opportunities.
25 holidays per year.
Another 5 days (readjustments days).
A collaborative, trustful and innovative work environment.
Being part of an international team and work in global projects.
Relocation assistance to Madrid provided.

Data Engineer

Key skills