Data Engineer for Pharma Sector

Can you imagine shaping the future of data infrastructure for global projects? 📊☁️

This could be the opportunity you’ve been waiting for.

At ERNI, we’re looking for a Data Engineer to evolve customer data infrastructure, optimize data flows, and guarantee data availability and quality. You’ll partner closely with data scientists and analysts to ensure a consistent, scalable data delivery architecture across multiple projects. 🧬🚀

• At ERNI, you're part of a team, not just a project.
• Even when working on-site with our clients, we make sure you stay connected and supported.

How do we ensure that? 🤔
From day one, you will have a mentor with you, who will guide you through your entire onboarding and career at ERNI. You’ll have regular 1:1 meetings with them, and recurrently, you’ll work on your development plan to define your short-, medium-, and long-term goals.

What will you do?

You’ll be part of an international team, building and optimizing large-scale data pipelines and systems. Your role will involve:

• Designing, building, installing, testing, and maintaining highly scalable data management systems.
• Optimizing data architectures, flows, and datasets to ensure efficiency and reliability.
• Working with AWS data services (Redshift, Kinesis, Glue, S3) and the Apache ecosystem (Spark, Kafka, Airflow, Parquet, Hadoop).
• Integrating and re-engineering emerging data-management and software-engineering technologies.
• Ensuring solutions meet business requirements and industry best practices.
• Defining and documenting standardized processes for data mining, modeling, and production.
• Collaborating closely with data scientists, analysts, and IT teams to align on project goals.
• Using scripting languages (Python, Scala) and SQL to stitch systems together.
• Recommending improvements to increase data reliability, efficiency, and quality.
• What are we looking for?

✅ Minimum 3 years of tangible experience as a Data Engineer.
✅ Strong knowledge of ETL pipelines and data engineering best practices.
✅ Strong experience with Apache ecosystem (Spark, Kafka, Airflow, Parquet, Hadoop).
✅ Hands-on expertise with AWS data services (Redshift, Kinesis, Glue, S3).
✅ Solid knowledge of SQL & NoSQL databases (Snowflake/Databricks preferred).
✅ Proven ability to design and optimize big-data pipelines and architectures.
✅ Strong analytical skills, including work with unstructured datasets.
✅ Familiarity with workflow orchestration tools.
✅ Proficiency in Python or Scala.
✅ Excellent communication and organizational skills.
✅ Fluent English (spoken & written).
✅ Excellent communication and soft skills.
✅ Fluent English (spoken & written).

What do we offer?

🏥 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.
☕ Snacks, fruit, coffee, and tea at the office.
🍽️ Monthly team lunches paid by the company.
🎉 Special days like "churro therapy" or "calamari sandwich day."
🏋️‍♀️ Gym discounts + sports compensation.
🧳 Relocation bonus (up to €2,000).
💳 Flexible benefits: meals, transport, childcare, etc.
🤝 Referral bonuses: up to €6,000 per candidate and €5,000 per client.
🖥️ Remote work compensation: hardware + home office expenses.
🌴 23 working days of vacation.
🗣️ Free language courses: English, Spanish, and German.

And The Salary...

We will discuss it during the first call. If it’s important to you, feel free to ask! 💬

WOULD YOU LIKE TO BECOME AN ERNIan? APPLY NOW! 🚀

Also, if you want to know what makes ERNI unique through the eyes of those who know it best 😎 Take a look at this video:

ERNI in One Word - YouTube