Pharma Data Engineer: PySpark & AWS Automation

ERNI; Madrid; Hybride; EUR 45 000 - 70 000; Plein temps

Avantages offerts par ce poste

Certifications reimbursement

Private health insurance

Sick leave coverage

Counseling support

Gym discounts

Flexible remuneration

Referral bonuses

23 vacation days

Language courses

Résumé du poste

ERNI is seeking a Data Engineer to transform complex pharmaceutical data into scalable, automated solutions. You will leverage PySpark and AWS to enhance ETL pipelines from legacy systems, ensuring data is well-structured and accessible for business needs.

The role emphasizes collaboration with a supportive team, onboarding mentorship, and a hybrid work model with 2 days in the office. Strong English communication is required.

Qualifications

• Hands-on experience in Data Engineering and ETL pipelines.
• Proficiency in PySpark for data processing.
• Experience with AWS data services (S3, Glue).
• Fluent English and ability to translate business requirements into technical solutions.

Responsabilités

• Enhance and automate data extraction and transformation pipelines using PySpark and AWS.
• Develop, maintain and optimize ETL pipelines from legacy systems.
• Collaborate with technical teams and business stakeholders to deliver reliable data solutions.

Connaissances

Data engineering

PySpark

AWS data services

Data quality & security

Code maintenance

English fluency

Outils

Git

Description du poste

ERNI is seeking a Data Engineer to transform complex pharmaceutical data into scalable, automated solutions. You will leverage PySpark and AWS to enhance ETL pipelines from legacy systems, ensuring data is well-structured and accessible for business needs.

The role emphasizes collaboration with a supportive team, onboarding mentorship, and a hybrid work model with 2 days in the office. Strong English communication is required.