Remote Data Engineering Opportunities: Azure, Databricks, and SQL Expertise Needed

Further Details

This remote Data Engineer position is based in Catalunya, Spain, for the Enzo Tech Group, a prominent European online pharmacy. The role involves significant work with Azure Databricks and Azure Data Factory, focusing on delivering production data solutions. Candidates will build and manage scalable data pipelines and products, translating business needs into actionable technical strategies. Ideal candidates possess strong SQL and Python/PySpark skills, coupled with experience in dbt transformations and a solid understanding of dimensional modelling. This opportunity is perfect for those aiming to advance their careers in data engineering with a globally recognized healthcare technology firm.

Remote Data Engineer Opportunity with Leading European Healthcare Provider

Enzo Tech Group is seeking a proficient Data Engineer to join their innovative team, offering a fully remote position with a 12-month contract and extension possibilities. This role is based in Catalunya, Spain, and focuses on enhancing healthcare accessibility through advanced digital platforms.

The ideal candidate will possess extensive experience with Azure cloud services, including Azure Databricks and Azure Data Factory, alongside strong SQL and Python/PySpark capabilities. A background in Microsoft Fabric and lakehouse architecture is highly valued, as is familiarity with dbt transformations and dimensional modelling.

• Job Title: Data Engineer
• Location: Catalunya, Spain (Fully Remote)
• Contract: 12 Months (Extension Opportunity)
• Key Technologies: Azure, Azure Databricks, Azure Data Factory, Microsoft Fabric, SQL, Python/PySpark, dbt, Git, CI/CD
• Industry: Healthcare Technology, Online Pharmacy
• Responsibilities: Data pipeline development, stakeholder collaboration, data modelling, CI/CD implementation.

Skills

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

• Access Application: Click on the 'Apply Now' button or use the provided link to reach the application portal.
• Review Details: Carefully read through the job description, requirements, and responsibilities to ensure your qualifications align.
• Prepare Documents: Ensure you have an updated CV highlighting your relevant experience with Azure, SQL, Python/PySpark, and dbt.
• Submit Application: Complete the online application form accurately and submit it before the closing date.
• Confirmation: Look for a confirmation email or message indicating successful submission of your application.
• Closing Date: All applications must be submitted by 18 December, 2026.