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# Data Engineer

- **Company:** BASE life science
- **Location:** Ourense, Spain
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Business Logic, Microsoft Azure, Cloud Database, Information Systems, Data as a Services, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Visualization, Relational Databases, DevOps, Dimensional Modeling, Python (Programming Language), Power BI, Azure Data Lake, Salesforce.Com, SQL Databases, Data Streaming, Tableau (Software), Scripting, Cloud Platform System, Data Ingestion, Azure Data Factory, Git, Data Lakes, Pyspark, Information Technology, Data Lineage, Data Analytics, Qlikview, Tools for Reporting, Restful APIs, Veeva, Data Pipelines, Databricks
- **Published:** October 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e1ab8f5b08c799e1

## About the Role

* 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, 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.

## Description

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., * 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., If you find this position intriguing, don't delay-submit your application in English at your earliest convenience. We are continuously reviewing and assessing all incoming candidates and eagerly await your application.