Data Engineer — Life Sciences Insights & Analytics

BASE life science; Madrid; On-site; EUR 42,000 - 63,000; Full time

Job summary

BASE life science is seeking a Data Engineer to join the Data Insights & Analytics team. You will design, develop, automate, and maintain robust data pipelines to support analytics across pharmaceutical projects, collaborating with analysts and domain experts to ensure scalable data architecture.

You will work with Azure Databricks, Data Factory, PySpark and SQL to ensure data quality, lineage, and end-to-end testing, enabling reliable BI and reporting for complex life sciences use cases.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Minimum of 2 years of hands-on experience in a Data Engineer role, preferably on medium to complex projects in the pharmaceutical domain.
• Minimum of 2 years of hands-on experience with cloud data transformation platforms such as Azure Databricks, AWS, or GCP.
• Minimum of 2 years of hands-on experience in Python.
• Proficient in SQL and relational databases; experience with Azure data services and Databricks.
• Experience with ETL/ELT, data ingestion, transformation, incremental processing, and data quality practices.
• Experience in data modeling and layered data architectures (Medallion, dimensional modeling).
• Familiarity with RESTful APIs, Git, DevOps, and CI/CD is a plus.
• Knowledge of Veeva, Salesforce, IQVIA data models and data sources across HR and Sales functions is a plus.
• Familiarity with Power BI, Tableau, and Qlik for data visualization.

Responsibilities

• Build, implement, and automate data ingestion pipelines that integrate data from diverse sources with transformations.
• Develop and maintain data processing solutions using Azure Databricks, Azure Data Factory, SQL, Python, and PySpark.
• Apply data quality practices to minimize anomalies and ensure high-quality data for downstream systems.
• Incorporate error handling, monitoring, and auditing to maintain end-to-end data traceability and data lineage.
• Design and execute end-to-end tests to validate data pipelines across multiple scenarios.
• Collaborate with cross-functional teams including privacy, business analysts, and QA to align with goals.

Skills

Data engineering

Python

SQL

Analytical thinking

Problem solving

Education

Bachelor’s or Master’s degree in Computer Science / Data Engineering / Information Systems

Tools

Azure Databricks

Azure Data Factory

Azure Data Lake Storage

Delta Lake

PySpark

SQL

Power BI

Tableau

Qlik

Python

Job description

BASE life science is seeking a Data Engineer to join the Data Insights & Analytics team. You will design, develop, automate, and maintain robust data pipelines to support analytics across pharmaceutical projects, collaborating with analysts and domain experts to ensure scalable data architecture.

You will work with Azure Databricks, Data Factory, PySpark and SQL to ensure data quality, lineage, and end-to-end testing, enabling reliable BI and reporting for complex life sciences use cases.