Data Engineer - PySpark & AWS - Pharma - barcelona
Data engineer at consultancy ERNI working on a pharma-sector project: enhancing and automating data extraction and transformation (ETL) pipelines from complex legacy systems using PySpark and AWS services like S3 and Glue, while collaborating with technical teams and business stakeholders. Hybrid role in Barcelona with ~2 office days per week; salary discussed in the first call.
- Compensation
- Not disclosed
- Location
- Barcelona, Spain
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Hands-on experience in Data Engineering, including developing, maintaining and improving ETL pipelines
- Strong proficiency in PySpark for data processing and extraction
- Experience with AWS data services such as S3 and Glue
- Knowledge of data quality, data integration, security and performance
- Strong communication skills and fluent English
- Ability to translate business requirements into technical data solutions
Full description
Can you imagine transforming complex pharmaceutical data into scalable and automated solutions? ð§ Join our expert team to work on solutions in the Pharma sector, focused on improving and automating data extraction and transformation processes from complex legacy systems.
Para ser considerado para una entrevista, por favor, asegúrese de que su solicitud se ajusta plenamente a las especificaciones del puesto que se encuentran a continuación.
You will apply your knowledge of PySpark, AWS and data engineering to enhance existing data pipelines, automate manual processes and ensure that data is accurately structured and accessible for business needs.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? ðWith 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 ðHands-on experience in Data Engineering, including developing, maintaining and improving ETL pipelines.Strong proficiency in PySpark for data processing, extraction and experience with AWS data services such as S3 and GlueKnowledge of data quality, data integration, security and performance 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.You will be responsible for enhancing and automating existing data extraction and transformation pipelines using PySpark and AWS, focusing on processing complex data from legacy systems.
You will develop and improve parsing logic, automate the identification and structuring of data, reduce manual interventions and collaborate with technical teams and business stakeholders to deliver reliable, maintainable data solutions.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.