Remote Data Engineering Opportunities in Spain: Azure & Fabric Expertise Needed

Further Details

Discover exciting remote Data Engineer roles within a leading European digital healthcare company, offering a 12-month contract with potential for extension. This is a fantastic opportunity to drive data solutions from ingestion to modeling and reporting, working with state-of-the-art Azure technologies. The ideal candidate will possess strong hands-on experience with Azure Databricks, Azure Data Factory, and Microsoft Fabric, including lakehouse architecture. Expertise in SQL, Python/PySpark, and dbt transformations is crucial for success in this data engineering position. This role demands an ability to work autonomously, engage effectively with stakeholders, and take charge of project delivery. You will be responsible for constructing robust data pipelines, implementing analytical models, and ensuring data integrity through comprehensive testing and governance.

Remote Data Engineering Opportunities with Enzo Tech Group in Spain

A distinguished European online pharmacy and digital healthcare entity is extending an invitation to talented professionals for a remote Data Engineer position based in Castilla La Mancha, Spain. This role, available on a 12-month contract with the potential for extension, places you at the forefront of innovation, contributing to millions of customers' easier access to healthcare. This is an exceptional chance to advance your career in data engineering, working within a forward-thinking organization. The company is actively seeking individuals with demonstrable expertise in building and deploying robust data solutions on the Azure platform. A strong command of Azure Databricks and Azure Data Factory, coupled with experience in Microsoft Fabric and its lakehouse architecture, is highly valued. Additionally, top companies hiring are available for qualified candidates. Key responsibilities include owning the end-to-end data delivery process, from initial source discovery and ingestion to complex transformation, modelling, and reporting. The role requires a proactive approach, strong analytical capabilities, and a commitment to delivering high-quality, scalable data products that drive business value. This is an excellent opportunity for career development within the high-demand field of data engineering.

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 skills
• Proficiency in Python/PySpark
• Experience with dbt transformations and testing
• Understanding of dimensional modelling
• Familiarity with Power BI and semantic models
• Confidence with Git, CI/CD and deployment
• Ability to work independently
• Excellent communication skills with stakeholders
• Ability to own 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
• Develop transformations using Databricks, SQL and Python/PySpark
• Work with Microsoft Fabric and lakehouse architecture (Bronze, Silver, Gold 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

Follow these steps to submit your application for this exciting remote Data Engineer opportunity:

💼 Visit the Eurojobs platform and navigate to the job listing for the "Basic Data Engineer" role in Castilla La Mancha, Spain.

👉 Click on the "Apply Now" button prominently displayed on the job advertisement page.

📝 Ensure your application is submitted before the closing date of December 18, 2026.

🌐 Access the application portal directly via the provided link: https://eurojobs.com/jobs/36913055/apply

⏳ Early applications are encouraged to ensure your profile is reviewed promptly.