Data Engineer (m/f/d)

RESPONSIBILITIES

• 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.

REQUIREMENTS

• 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.

BENEFITS

• 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
• 23 holidays per year
• Another 5 days (readjustments days) and 2 days (cultural days)
• A collaborative, trustful and innovative work environment
• Being part of an international team and work in global projects
• Relocation assistance to Madrid provided