Azure Data Engineer - Fully Remote - EU Pharmacy Tech
Seeking a skilled Azure Data Engineer for a fully remote, 12-month contract with extension potential, focusing on delivering robust data solutions for a leading European online pharmacy.
This role emphasizes owning data pipelines from ingestion to reporting, working collaboratively with stakeholders and engineering teams.
Ideal candidates possess hands-on experience with Azure Databricks and Azure Data Factory, coupled with strong SQL and Python/PySpark abilities.
Familiarity with Microsoft Fabric and lakehouse architecture is essential for success in this dynamic environment.
| Jobs Date Posted: | 03 November, 2026 |
| Jobs Last Date to Apply: | 18 December, 2026 |
| Industry: | Technology |
| Jobs Industry Type: | Private |
| Job Hiring Organization: | JR Spain Client / Enzo Tech Group |
| Experience Required (In months): | 12 |
| Occupational Category: | Data Engineering |
| Employment Type: | contract |
| Advertisement Source: | eurojobs.com |
| Job Location: | Galicia |
| Country of Appointment: | Spain |
| Work Hours: | Fully remote |
Further Details
This Azure Data Engineer position offers a remote contract opportunity within a prominent European digital healthcare business. The role is crucial for developing and managing data delivery systems, involving source discovery, ingestion, transformation, modeling, and reporting. Explore these hiring with competitive benefits. We are looking for professionals with proven expertise in Azure cloud environments, specifically Azure Databricks and Azure Data Factory, alongside strong SQL and Python/PySpark proficiencies. Experience with Microsoft Fabric and lakehouse architecture is a key requirement for this position. Additionally, top companies hiring are available for qualified candidates.
Azure Data Engineer - Fully Remote - EU Pharmacy Tech
A leading European online pharmacy and digital healthcare business is seeking a skilled Azure Data Engineer to join their dynamic team. This is a fully remote, 12-month contract with potential for extension, offering a significant opportunity to contribute to a company dedicated to making healthcare more accessible.
The role involves owning the end-to-end data delivery process within a business domain, collaborating closely with stakeholders and the broader engineering team. You will be instrumental in managing data from source discovery and ingestion through transformation, modeling, and reporting.
- Job Title: Azure Data Engineer
- Location: Galicia, Spain (Fully Remote)
- Contract Length: 12 Months (with extension opportunity)
- Key Technologies: Azure Databricks, Azure Data Factory, Microsoft Fabric, Lakehouse Architecture, SQL, Python/PySpark, dbt, Git, CI/CD, Power BI
- Sector: Digital Healthcare / E-commerce
Skills
- Strong experience delivering production data solutions on Azure
- Hands-on Azure Databricks expertise
- Hands-on Azure Data Factory expertise
- Experience with Microsoft Fabric
- Experience with lakehouse architecture
- Strong SQL skills
- Strong Python/PySpark skills
- Experience with dbt transformations
- Experience with dbt testing
- Understanding of dimensional modelling
- Familiarity with Power BI
- Familiarity with 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 data layers (Bronze, Silver, Gold)
- Develop analytical data models
- Develop 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
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