Data Engineer – Life Sciences Analytics & Pipelines

BASE life science; København; On-site; DKK 600,000 - 800,000; 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 for the pharmaceutical domain, enabling advanced analytics and BI across multiple projects.

You will collaborate with analysts, privacy officers, QA, and business teams to ensure data architecture supports reliable, compliant analytics across sources and platforms.

Qualifications

• Educational background: 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 in the pharmaceutical domain.
• Minimum of 2 years of hands-on experience with cloud data transformation platforms such as Azure Databricks, AWS, or GCP; relevant certifications are a plus.
• Minimum of 2 years of hands-on experience in Python or equivalent scripting languages.

Responsibilities

• Build, implement, and automate efficient data ingestion pipelines that integrate data from diverse sources, applying business logic and transformations.
• Develop and maintain data processing solutions using Azure Databricks, Azure Data Factory, SQL, Python, and PySpark.
• Apply data quality practices and frameworks to minimize anomalies and ensure high-quality data for downstream systems.
• Incorporate error handling, monitoring, auditing, and data lineage mechanisms to maintain end-to-end traceability.
• Design and execute end-to-end tests to verify data pipeline functionality across diverse data scenarios.

Skills

Python

PySpark

SQL

Azure Databricks

Azure Data Factory

Delta Lake

Data Modeling

Data Quality

Data Ingestion

ETL/ELT

RESTful APIs

Git

CI/CD

Power BI

Tableau

Qlik

Data Lake Storage

Medallion Architecture

Education

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

Tools

Azure Databricks

Azure Data Factory

SQL

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 for the pharmaceutical domain, enabling advanced analytics and BI across multiple projects.

You will collaborate with analysts, privacy officers, QA, and business teams to ensure data architecture supports reliable, compliant analytics across sources and platforms.