Data Engineer - Azure & Databricks Expertise in Spain

Further Details

Enzo Tech Group, in collaboration with JR Spain, presents a remote Data Engineer vacancy in Islas Baleares, Spain, within the thriving European healthcare technology sector. This 12-month contract role targets professionals with robust Azure data pipeline experience, requiring proficiency in Databricks, Data Factory, and Microsoft Fabric. Responsibilities include building scalable ingestion pipelines, implementing lakehouse architectures, and developing Power BI semantic models. The position demands strong SQL, Python/PySpark skills, and familiarity with dbt and CI/CD practices. This overseas employment opportunity in Spain's digital health industry offers competitive career growth for data professionals seeking international exposure.

Data Engineer Opportunities in Spain's Healthcare Sector

Enzo Tech Group, a pioneering European online pharmacy and digital healthcare business, is expanding its data engineering capabilities with a remote position based in Islas Baleares, Spain. This role represents a significant career opportunity for data professionals seeking to work within Europe's innovative healthcare technology landscape. The company serves millions of customers by leveraging data-driven solutions to enhance healthcare accessibility across the continent.

The successful candidate will own data delivery within a critical business domain, working collaboratively with stakeholders and engineering teams throughout the entire data lifecycle. This encompasses source discovery, data ingestion, transformation, modeling, and reporting. The position requires hands-on expertise with Azure technologies, particularly Azure Databricks and Azure Data Factory, alongside proficiency in Microsoft Fabric's lakehouse architecture.

• 12-month contract with extension potential
• Fully remote position within Spain
• Focus on healthcare data solutions
• Collaboration with cross-functional teams
• Opportunity to implement enterprise-grade data pipelines

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, Power BI and semantic models
• Confidence with Git, CI/CD and deployment across environments
• Ability to work independently, communicate with stakeholders and 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
• Build transformations using Databricks, SQL and Python/PySpark
• Work with Microsoft Fabric, lakehouse architecture and Bronze, Silver and 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

To apply for this Data Engineer position in Spain, please follow these steps:

• 💼 Prepare your updated CV highlighting relevant Azure and data engineering experience
• 🔍 Review the job requirements carefully to ensure your qualifications match
• 📝 Gather any necessary documentation, including proof of qualifications and work authorization for Spain
• 🌐 Click the "Apply Now" button below to access the official application portal
• 📅 Submit your application before the closing date of 18 December, 2026
• ⏳ Allow time for the recruitment team to review your application and schedule interviews

Important Notes: Ensure your application clearly demonstrates your experience with Azure Databricks, Data Factory, and related technologies. Highlight any healthcare or digital health industry experience if applicable. Successful candidates will undergo a technical assessment process to evaluate their data engineering capabilities.