Data Engineer - PySpark & AWS for Pharma Data

ERNI; Cataluña; Hybrid; EUR 45,000 - 70,000; Full time

Benefits offered by this job

Certifications paid

Private health insurance

Sick leave coverage

Emotional support services

Gym discounts

Flexible remuneration

Referral bonuses

Vacation days

Language courses

Job summary

ERNI in Spain's Catalonia region seeks a data engineer to transform pharmaceutical data into scalable, automated solutions. You will work on data extraction and transformation pipelines using PySpark and AWS, ensuring clean, accessible data for business decisions.

Join a supportive, hybrid team with mentors, growth opportunities, and a strong focus on training, certifications, and wellbeing. You will collaborate with cross-functional stakeholders to deliver reliable data solutions across complex

Qualifications

• Hands-on experience in Data Engineering, including developing, maintaining and improving ETL pipelines.
• Strong proficiency in PySpark for data processing, extraction and transformation.
• Hands-on experience with AWS data services such as S3 and Glue.
• Knowledge of data quality, data integration, security and performance optimization.
• Ability to understand, maintain and enhance existing code and data processing solutions.
• Strong communication skills, fluent English and the ability to translate business requirements into technical data solutions.

Responsibilities

• Enhance and automate existing data extraction and transformation pipelines using PySpark and AWS.
• Collaborate with technical teams and business stakeholders to deliver reliable, maintainable data solutions.
• Assist in identifying and structuring data from complex legacy systems.

Skills

Data Engineering

PySpark

AWS (S3/Glue)

Data quality & integration

Code maintenance

English communication

Tools

ETL pipelines

Job description

ERNI in Spain's Catalonia region seeks a data engineer to transform pharmaceutical data into scalable, automated solutions. You will work on data extraction and transformation pipelines using PySpark and AWS, ensuring clean, accessible data for business decisions.

Join a supportive, hybrid team with mentors, growth opportunities, and a strong focus on training, certifications, and wellbeing. You will collaborate with cross-functional stakeholders to deliver reliable data solutions across complex