Senior Data Engineer

NextLink Group; Barcelona; Remote; EUR 80,000 - 100,000; Full time

Job summary

NextLink Group is seeking a Senior Data Engineer to drive a major data engineering project for a leading global pharmaceutical client. Based in Barcelona, you will design, develop, and optimize scalable cloud-based data solutions using AWS, Snowflake, Python/PySpark, and SnapLogic.

You will ensure data quality, governance, lineage, and metadata management while building end-to-end ETL/ELT pipelines and implementing CI/CD, testing, and production monitoring for reliable delivery.

Qualifications

• 5+ years in Data Engineering, Analytics Engineering, or similar roles with hands-on production experience.
• Strong Python/PySpark and SQL, including data transformation and optimization.
• Hands-on AWS experience (S3, Lambda, Glue).
• Snowflake experience covering data ingestion, modelling, warehousing, and performance optimization.
• Solid ETL/ELT, Git, CI/CD, automated testing, and production monitoring.
• Data governance: data quality, metadata management, and data lineage.
• Fluent English with excellent communication skills.
• Nice to have: SnapLogic, Collibra, Spanish language skills, and Pharmaceutical/Regulatory Affairs experience.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Python/PySpark and SQL.
• Build and optimize data solutions using AWS services (S3, Lambda, Glue) and Snowflake.
• Develop and support enterprise data integration workflows, including SnapLogic.
• Ensure data quality, governance, lineage, and metadata management.
• Implement coding best practices, Git, CI/CD, automated testing, and production monitoring.
• Troubleshoot and optimize cloud-based data pipelines while taking ownership of end-to-end delivery.

Skills

Python

PySpark

SQL

AWS

S3

Lambda

Glue

Snowflake

ETL/ELT

Git

CI/CD

Automated testing

Production monitoring

Data governance

Data lineage

English

Tools

SnapLogic

Collibra

Job description

NextLink Group is seeking an experienced Senior Data Engineer to support a major data engineering project for a leading global pharmaceutical client.

Working across the Regulatory Affairs and Quality Medicine data domains, you will design, develop, and optimize scalable cloud-based data solutions, leveraging AWS, Snowflake, Python/PySpark, and SnapLogic to ensure reliable data integration, quality, and performance.

Duration: 6-12 Months

Location: Barcelona, Spain

Work Type: Fully Remote (Spain)

• Design, develop, and maintain scalable ETL/ELT pipelines using Python/PySpark and SQL.
• Build and optimize data solutions using AWS services (S3, Lambda, Glue) and Snowflake.
• Develop and support enterprise data integration workflows, including SnapLogic.
• Ensure data quality, governance, lineage, and metadata management.
• Implement coding best practices, Git, CI/CD, automated testing, and production monitoring.
• Troubleshoot and optimize cloud-based data pipelines while taking ownership of end-to-end delivery.

What We're Looking For

• Experience: 5+ years in Data Engineering, Analytics Engineering, or similar roles, with hands-on production experience.
• Programming: Strong expertise in Python/PySpark and SQL, including data transformation and optimization.
• Cloud Expertise: Practical experience with AWS services, particularly S3, Lambda, and Glue.
• Data Warehousing: Hands-on Snowflake experience covering data ingestion, modelling, warehousing, and performance optimization.
• Engineering Practices: Strong understanding of ETL/ELT, Git, CI/CD, automated testing, and production monitoring.
• Data Governance: Familiarity with data quality, metadata management, and data lineage.
• Language: Fluent English with excellent communication skills.
• Nice to Have: SnapLogic, Collibra, Spanish language skills, and previous experience in Pharmaceutical, Regulatory Affairs, or Quality Medicine domains.