Data Engineer - AWS - Pharma Industry

ERNI Spain
Municipality of Madrid, Spain
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
€ 72K

Job location

Municipality of Madrid, Spain

Tech stack

Microsoft Access
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Clinical Data Repository
Cloud Computing
Continuous Integration
Data Governance
ETL
Distributed Systems
Python
Meta-Data Management
Openshift
SQL Databases
Systems Integration
Working Model 2D
Data Processing
Cloud Platform System
Containerization
PySpark
Git Flow
Data Pipelines

Job description

Join our expert team to work on a clinical data domain, contributing to the development of scalable data pipelines and integrations. You will apply your knowledge of Python, PySpark, SQL and cloud-native environments like AWS and OpenShift to enable advanced analytics and AI use cases. You will help transform complex data into actionable insights for research and innovation.

How do we make this happen?

With people. Besides your team and manager, you will have several support figures like a godparent, who will help you with the practical and administrative aspects of daily life during your first 6 months.

And the second most important person after you, your mentor, who will guide you through your entire onboarding and career at ERNI. You will have regular 1:1 meetings with them, and recurrently, you will work on your development plan to define your short-, medium-, and long-term goals.

We strongly encourage growth and continuous training. Each person has an individual development plan, mentoring, and access to internal technical communities. We aim for you to learn, experiment, and evolve within an environment where teamwork and support from more senior colleagues are key. What you will bring

  • Solid experience with Python or PySpark and SQL for data processing
  • Strong understanding of ETL ELT pipelines and data modeling
  • Experience with cloud environments such as AWS (Lambda, Glue and S3).
  • Familiarity with CI CD, Git workflows and production monitoring
  • Knowledge of data governance, data quality and metadata management

You will be responsible for designing and maintaining scalable data pipelines and integrations in cloud environments. Working with distributed systems and container platforms to ensure reliable data processing. Supporting AI and analytics initiatives by providing high quality structured data. Collaborating with cross functional teams and continuously improving automation and performance.

What if the project ends?

We work on a wide variety of projects, technologies, and sectors, allowing you to keep growing in different environments. If a project ends or you feel ready for a new challenge, we will find another one that aligns with your professional development.

Our working model

We ask you to be available for key meetings. Need to leave for a doctor's appointment or to pick up your child from school? No problem. We trust you to deliver quality work within your 40-hour workweek.

Our model is hybrid: we usually go to the office 2 days a week, though this depends on the project and team, but we love seeing each other's faces; the best stories always happen in the office!

Requirements

Do you have experience in SQL?

Benefits & conditions

We cover your certifications and reward technical achievements up to €1,400. Private health and travel insurance. Full coverage for sick leave + 1 extra day off per month without medical leave. ️ Free emotional, legal, and family support. ️ ️ Gym discounts + sports compensation. Flexible remuneration: meals, transport, childcare, etc. Referral bonuses: up to €6,000 per candidate and €5,000 per client. 23 working days of vacation. ️ Free language courses: English, Spanish, Catalan and German.

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