data engineer in pharma

ERNI provides data engineering solutions for the pharmaceutical sector, including scalable data pipelines and cloud-based data platforms.

• Design, develop, and optimize scalable ETL pipelines and cloud-based data solutions using AWS technologies
• Ensure data quality, security, and performance
• Use Databricks, Snowflake, and AWS services
• Collaborate with cross-functional teams
• Implement infrastructure as code
• Troubleshoot data-related issues
• Contribute to continuous improvements in data engineering practices

• Proven experience in data engineering, including building and maintaining scalable ETL pipelines
• Proficiency in Python, Java, or Scala
• Familiarity with big data technologies such as Spark or Hadoop
• Hands-on experience with AWS data services such as S3, Glue, Athena, and Redshift
• Knowledge of data quality, data integration, security, and performance optimization
• Strong communication skills
• Fluent English

• Certification costs are covered; technical achievements are rewarded up to €1,500
• Private health insurance
• Full coverage for sick leave
• Free emotional, legal, and family support
• Gym discounts or sports compensation
• Flexible remuneration for meals, transport, childcare, and other items
• Referral bonuses of up to €6,000 per candidate and €5,000 per client
• 23 Working days of vacation
• Free language courses in English, Spanish, Catalan, and German
• 40-Hour workweek