Data Insights Engineer: Azure Data Pipelines & Analytics

BASE life science; Denmark; On-site; DKK 700,000 - 1,100,000; Full time

Benefits offered by this job

Health & wellbeing

Flexible work

Learning & development

Modern work setup

Recognition & impact

Meaningful projects

Job summary

BASE life science is seeking a Data Engineer to join our Data Insights & Analytics team. You will design, develop, automate, and maintain data pipelines supporting analytics across pharmaceutical projects for clients worldwide.

Responsibilities include building ingestion pipelines from diverse data sources, implementing data quality, and collaborating with analysts, privacy, and QA to ensure data lineage and robust BI readiness using SQL, Python, Azure Databricks, and Power BI.

Qualifications

• 2+ years hands-on data engineer experience, preferably in pharma domain.
• Cloud data transformation experience on Azure Databricks, AWS, or GCP; relevant certs are a plus.
• 2+ years Python or scripting experience mandatory.
• Proficient in SQL and relational databases.
• Experience with Azure data services and Databricks (ADF, ADLS, Delta Lake).
• Experience with ETL/ELT, data modeling, and data quality practices.
• Familiar with RESTful APIs, Git, DevOps, and CI/CD is a plus.
• Familiarity with Power BI, Tableau, and Qlik for analytics.

Responsibilities

• Build, implement, and automate data ingestion pipelines from diverse sources.
• Develop data processing solutions with SQL, Python, PySpark.
• Apply data quality practices to ensure reliable data for downstream systems.
• Ensure end-to-end traceability and data lineage with monitoring and auditing.
• Design end-to-end tests for data pipelines and solutions.
• Collaborate with data privacy, business analysts, and QA for seamless data integration.

Skills

Data analytics

Problem solving

Independent work

Education

Bachelor's or Master's in CS / Data Engineering / Information Systems

Tools

Azure Databricks

Azure Data Factory

SQL

Python

PySpark

Azure Data Lake Storage

Delta Lake

RESTful APIs

Git / DevOps / CI-CD

Power BI

Tableau

Qlik

Veeva

Salesforce

IQVIA data models

Job description

BASE life science is seeking a Data Engineer to join our Data Insights & Analytics team. You will design, develop, automate, and maintain data pipelines supporting analytics across pharmaceutical projects for clients worldwide.

Responsibilities include building ingestion pipelines from diverse data sources, implementing data quality, and collaborating with analysts, privacy, and QA to ensure data lineage and robust BI readiness using SQL, Python, Azure Databricks, and Power BI.