Data Engineer at JR Spain Islas Baleares
Career opportunity at JR Spain located in Islas Baleares for the position of Data Engineer.
This employment notice was announced on 03 November, 2026 through Website.
Candidates possessing a Bachelor degree are encouraged to submit their application.
Interested individuals should apply directly to JR Spain for these vacancies in the Data Engineering division.
The estimated application deadline is 18 December, 2026, but please verify the exact date in the official advertisement.
To understand the application process and explore other job openings at JR Spain, visit the official source or see more details on https://www.
jobseed.
pk.
| Jobs Date Posted: | 03 November, 2026 |
| Jobs Last Date to Apply: | 18 December, 2026 |
| Industry: | Healthcare Technology |
| Jobs Industry Type: | Private |
| Job Hiring Organization: | JR Spain |
| Occupational Category: | Data Engineering |
| Education Requirements | Bachelor Degree |
| Employment Type: | contract |
| Advertisement Source: | Website |
| Job Location: | Islas |
| Address Region: | Balearic Islands |
| Country of Appointment: | Spain |
| Work Hours: | Full-time, remote |
Further Details
JR Spain is now recruiting in Islas. Apply for the position of Data Engineer. The required qualification is Bachelor. This role is within the Healthcare Technology industry. A bachelor degree is preferred. The application process commenced on 03 November, 2026 via Website. Interested and eligible candidates must submit their applications before the deadline on 18 December, 2026. This is a prime opportunity to join a renowned organization. For a step-by-step application guide and full eligibility criteria, please see the official advertisement on https://www.jobseed.pk.
Data Engineer at JR Spain
We have an immediate opening for the post of Data Engineer. The job location is Islas Baleares.
Key Requirements:
- Qualification: Bachelor
- Vacancies: 1
This is a fantastic chance to work with a reputed organization and grow professionally.
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
How to Apply for Data Engineer:
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.
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