Data Engineer - AWS - Pharma

ERNI; Cataluña; Híbrido; EUR 45.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Certifications covered up to €1,500

Private health insurance

Full coverage for sick leave

Free language courses: English,Spanish

Free language courses: Catalan and 1–1

Gym discounts or sports compensation

Flexible remuneration: meals,transport

Referral bonuses: up to €6,000 per候

23 working days of vacation

Descripción de la vacante

ERNI is seeking a data engineer to build scalable data pipelines and cloud-based data platforms for the Pharma sector. You will apply your expertise in AWS, Python and big data technologies to integrate, process and optimize data from diverse sources while ensuring data quality, security and performance.

You will collaborate with cross-functional teams, benefit from mentoring and development plans, and work in a hybrid model with a strong emphasis on continuous learning and practical outcomes.

Formación

• Proven experience in data engineering and building scalable ETL pipelines.
• Proficiency in Python, Java or Scala with big data tech such as Spark or Hadoop.
• Hands-on experience with AWS data services (S3, Glue, Athena, Redshift).
• Knowledge of data quality, data integration, security and performance optimization.
• Strong communication skills and fluent English, translating requirements into data solutions.

Responsabilidades

• Design, develop and optimize scalable ETL pipelines and cloud-based data solutions using AWS.
• Ensure data quality, security and performance across data platforms.
• Collaborate with cross-functional teams and apply infrastructure as code.
• Troubleshoot data-related issues and contribute to continuous improvement in data engineering practices.

Conocimientos

Data engineering

ETL pipelines

Python

Java/Scala

Spark/Hadoop

AWS data services

Data quality

Data integration

Security

Performance

Communication

Herramientas

Databricks

Snowflake

S3

Glue

Athena

Redshift

Descripción del empleo

Can you imagine building scalable data solutions that help transform the pharmaceutical industry?

Join our expert team to work on solutions in the Pharma sector, contributing to the development of scalable data pipelines and cloud-based data platforms. You will apply your knowledge of AWS, Python and data engineering to integrate, process and optimize data from different sources, ensuring data quality, security and performance.

At ERNI, you are never just a number. Even if you work on an external project, you will feel part of the team and always supported.

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

• Proven experience in data engineering, including building and maintaining scalable ETL pipelines.
• Proficiency in Python, Java or Scala, with familiarity with big data technologies such as Spark or Hadoop.
• Hands-on experience with AWS data services such as S3, Glue, Athena and Redshift.
• Knowledge of data quality, data integration, security and performance optimization.
• Strong communication skills, fluent English and the ability to translate business requirements into technical data solutions.

You will be responsible for designing, developing, and optimizing scalable ETL pipelines and cloud-based data solutions using AWS technologies. You will ensure data quality, security, and performance while leveraging tools such as Databricks, Snowflake, and AWS services. You will also collaborate with cross-functional teams, implement infrastructure as code, troubleshoot data-related issues, and contribute to continuous improvements in data engineering practices.

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!

You will also enjoy:

• We cover your certifications and reward technical achievements up to €1,500.
• Private health insurance.
• Full coverage for sick leave
• Free emotional, legal, and family support.
• Gym discounts or 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.

And the salary?

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