Drive meaningful impact across the life sciences industry.

As our next Data Engineer – Data Insights & Analytics you will contribute to solving meaningful challenges across the life sciences industry. We offer specialised management consulting services, working with top-tier life sciences companies as well as biotech startups — locally and globally. From strategy development to hands-on implementation, we support our clients were impact matters most.

About the role

We seek a skilled and motivated Data Engineer to join our Data Insights & Analytics team. In this role, you will be responsible for designing, developing, automating, and maintaining robust data pipelines to ensure efficient data collection, storage, transformation, and processing. You will work closely with business analysts, cross-functional teams, and domain experts in the pharmaceutical industry to ensure that the data architecture supports advanced analytics and business intelligence across a range of pharmaceutical projects.

As a Data Engineer, your responsibilities include

• Build, implement,



and automate efficient data ingestion pipelines that integrate data from diverse sources, including structured, semi-structured, and unstructured formats, while applying necessary business logic and transformations.
• Develop and maintain data processing solutions using technologies such as Azure Databricks, Azure Data Factory, SQL, Python, and PySpark.
• Apply data quality practices and frameworks to minimize anomalies and ensure the production of high-quality, reliable data for downstream systems.
• Incorporate error handling, exception management, monitoring, and auditing mechanisms to maintain end-to-end data traceability and support data lineage.
• Design and execute end-to-end tests to ensure the data pipeline and solutions are functioning as expected, covering a variety of data scenarios and ensuring that data flows accurately and reliably from source to target.
• Work closely with cross-functional

📌 Data Engineer DInA (Barcelona)
🏢 BASE life science
📍 Barcelona