Data Engineer | PySpark & AWS for Pharma Pipelines

Erni

España

Hybrid

EUR 48,000 - 75,000

Full time

4 days ago

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Benefits offered by this job

Certifications covered up to €1,500

Private health insurance

Full sick leave coverage

Emotional, legal and family support

Gym discounts or sports compensation

Flexible remuneration: meals, transit,

Childcare support

Referral bonuses: up to €6,000 per候

Job summary

ERNI is seeking a Data Engineer to transform complex pharmaceutical data into scalable, automated solutions. You will apply PySpark and AWS to enhance data pipelines, automate manual processes, and ensure data is accurately structured and accessible for business needs.

The role emphasizes collaboration with teams and mentors, with a hybrid work model and ongoing professional development. You will work on parsing logic, data extraction from legacy systems, and optimization to support analytics

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.

Responsibilities

Enhance and automate existing data extraction and transformation pipelines using PySpark and AWS.
Develop and improve parsing logic, automate data identification and structuring, and reduce manual interventions.
Collaborate with technical teams and business stakeholders to deliver reliable and maintainable data solutions.