Data Engineer - Remote Opportunity with Leading European Pharmacy

Further Details

This is a contract Data Engineer position based in Galicia, Spain, with a fully remote work arrangement. The role involves contributing to a leading European online pharmacy's data infrastructure, focusing on data pipeline development and optimization. Successful applicants will utilize Azure services, including Databricks and Data Factory, to build and transform data, working towards creating scalable data products and analytical models. This opportunity is ideal for experienced professionals looking to impact the digital healthcare sector within a dynamic, collaborative environment.

Data Engineer - Exciting Remote Role

Join a leading European online pharmacy and digital healthcare business committed to improving customer access to healthcare. We are currently seeking a talented Data Engineer for a fully remote, 12-month contract with extension possibilities. This is a fantastic opportunity to drive data delivery within a dynamic business domain, collaborating closely with stakeholders and the broader engineering team.

The ideal candidate will bring substantial experience in developing robust production data solutions on the Azure cloud platform, with a strong command of Azure Databricks and Azure Data Factory. Proficiency in Microsoft Fabric and lakehouse architecture is a significant advantage, complemented by advanced SQL and Python/PySpark skills. We also value experience with dbt transformations, dimensional modeling, and Power BI.

• Role: Data Engineer (Contract, Fully Remote)
• Location: Galicia, Spain (Remote Work)
• Key Technologies: Azure, Databricks, Data Factory, Microsoft Fabric, SQL, Python/PySpark, dbt, Power BI
• Contract Duration: 12 Months (with extension opportunity)
• Work Environment: Collaborative, innovative digital healthcare sector

Skills

• Strong experience delivering production data solutions on Azure
• Hands-on Azure Databricks and Azure Data Factory expertise
• Experience with Microsoft Fabric and lakehouse architecture
• Strong SQL and Python/PySpark skills
• Experience with dbt transformations and testing
• Understanding of dimensional modelling
• Experience with Power BI and semantic models
• Confidence with Git, CI/CD and deployment across environments
• Ability to work independently
• Effective communication with stakeholders
• Ownership of delivery

Duties and Responsibilities:

• Own the delivery of reliable, scalable data pipelines and data products
• Translate business requirements into technical solutions
• Build ingestion and orchestration pipelines using Azure Data Factory
• Build transformations using Databricks, SQL and Python/PySpark
• Work with Microsoft Fabric, lakehouse architecture and data layers
• Develop analytical data models and reusable semantic models for Power BI
• Apply data quality checks, testing, monitoring and governance practices
• Manage code and deployments through Git, pull requests and CI/CD
• Share ideas, documentation and knowledge across the engineering team

How to apply

• Prepare Your Application: Gather your updated CV, highlighting relevant experience in data engineering, Azure services, and programming languages. Ensure your skills in dbt, Power BI, and Git are clearly demonstrated.
• Review Requirements: Carefully read through the job description to confirm your qualifications align with the required skills and responsibilities for this Data Engineer position.
• Submit Application: Visit the provided application link to submit your candidacy. Follow all on-screen instructions to complete the application process.
• Contact Information: For any specific inquiries, please refer to the official job posting details.
• Application Deadline: Ensure your application is submitted before the closing date of 18 December 2026 to be considered.
• 👉 Click the 'Apply Now' button to submit your application.