Data Engineer DInA

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

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 teams, including data privacy officers, business analysts, and quality assurance teams, to ensure alignment with organizational goals and to facilitate seamless data integration and usage.

Required Skills and Qualifications

Educational background: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.

Experience:

• Minimum of 2 years of hands-on experience in a Data Engineer role, with a focus on medium to complex data engineering projects, preferably in the pharmaceutical domain.
• Minimum of 2 years of hands-on experience in 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 is a must.

Technical Expertise:

• Proficient in Structured Query Language (SQL) and experienced in working with relational databases and cloud-based data platforms.
• Experience with Microsoft Azure data services and Databricks, including technologies such as Azure Data Factory, Azure Data Lake Storage, Delta Lake, Python, and PySpark.
• Experience with ETL/ELT processes, data ingestion, transformation, incremental processing, and data quality practices.
• Experience in data modeling and layered data architectures, including Medallion architecture and dimensional modeling concepts.
• Familiarity with RESTful APIs, Git, DevOps practices, and CI/CD processes is a plus.
• Good understanding of Veeva, Salesforce, IQVIA data models and data sources across HR and Sales functions.
• Familiarity with data visualization and analytics tools such as Power BI, Tableau, and Qlik is essential.

Soft-skills:

• Strong consulting mindset with the ability to work independently on defined tasks and collaborate effectively within medium to large-scale project teams.
• Proven ability to work in dynamic, fast-paced project environments without compromising on quality.
• Excellent problem-solving and troubleshooting abilities.

Who is BASE life science?

Founded in 2015, BASE life science is a business and technology consulting company working exclusively in life sciences, built on a simple purpose: grow our people, and deliver real impact for our customers.

We don't think AI is a feature you bolt onto existing systems - we think it's the layer through which a life sciences company's strategy actually gets executed, end to end. Most of the industry is still proving AI can do one task at a time, function by function, pilot by pilot. We're building toward something bigger: AI that runs across clinical, regulatory, quality, and commercial work instead of stopping at the edges of a single application.

With headquarters in Denmark and offices across Spain, Switzerland, the UK, Germany, France, Italy, and the US, we work with top-10 pharma and ambitious biotechs alike, and with technology partners including Veeva, Salesforce, IQVIA, Google, AWS, Microsoft, and Amass - turning that belief into deployed, compliant, sellable solutions, not slideware.

Why join BASE life science?

At BASE, you work on meaningful, complex challenges at the intersection of technology, science, and business. We trust our people with real responsibility and support them in turning ambition into impact - grounded in five core values: team spirit, trust, openness, ambition, and execution.

• Ambition, encouraged through ownership and continuous learning.
• Execution - we focus on delivering solutions that work in practice.
• Openness - your ideas are heard, challenged constructively, and supported as you grow.
• Flexible ways of working, built on trust, autonomy, and balance.
• The opportunity to shape a practice, not just staff one.

Alongside this, we offer:

• Support for health and wellbeing, covering physical, mental, and social needs
• Flexible ways of working, built on trust, autonomy, and balance
• Ongoing learning and professional development throughout your career
• A modern work setup, with the tools and equipment needed to do great work
• Recognition of performance and impact, linked to contribution and results
• The opportunity to work on challenges that make a meaningful difference for patients and healthcare systems worldwide

Explore our work, values, and people at www.baselifescience.com

At BASE life science, we value diverse backgrounds, experiences, and perspectives. Employment decisions are based solely on qualifications, merit, and business needs