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Azure Databricks Data Engineer with Scala, Python, PySpark Expertise in Spain

Embark on a rewarding career as an Azure Databricks Data Engineer with Bluetab, an IBM Company, a certified 'Great Place to Work' in Spain.

This role offers the chance to develop and optimize large-scale data pipelines using Spark, Databricks, and Cloud technologies like Azure.

You'll be instrumental in designing robust Data Lake and Data Warehouse architectures, transforming massive datasets, and ensuring data quality and consistency.

If you possess strong analytical skills and a passion for Big Data innovation, join our tech-centric team for exciting national and international projects.

Private
full-time
Spain

Jobs Date Posted: 03 November, 2026
Jobs Last Date to Apply: 18 December, 2026
Industry: Information Technology and Services
Jobs Industry Type: Private
Job Hiring Organization: Bluetab, an IBM Company
Experience Required (In months): 48
Occupational Category: Data Engineering
Employment Type: full-time
Advertisement Source: eurojobs.com
Job Location: Catalunya
Country of Appointment: Spain
Work Hours: Flexible working hours, with intensive work hours on Fridays and during summer months (July and August).
🎓 Qualifications Required
BA
📌 Job Positions:

Further Details

This Azure Databricks Data Engineer position with Bluetab, an IBM Company, focuses on building and refining data solutions within cloud environments, primarily Azure. Candidates will leverage Scala, Python, or PySpark to develop high-performance Spark processes on Databricks, contributing to scalable Data Lakehouse architectures. The role emphasizes transforming large volumes of data, optimizing queries, and integrating diverse data sources, aligning with a commitment to innovation and efficiency in data engineering.

Azure Databricks Data Engineer Opportunities in Spain

Bluetab, an IBM Company, renowned for its innovation in Data, Cloud, ML & IA, is seeking passionate Azure Databricks Data Engineers. This role is ideal for professionals looking to enhance their skills in cloud-native technologies and contribute to significant national and international projects. Additionally, Data Engineer jobs in Catalunya are available for qualified candidates. You will be part of a team that champions innovation, scalability, and efficiency.

As a Data Engineer, you will architect and implement advanced data solutions, focusing on optimizing data pipelines and ensuring high performance. This is a great chance to join a company that actively supports career growth and provides a flexible, inclusive work environment.

  • Key Position: Azure Databricks Data Engineer
  • Experience Required: 4-5 years
  • Core Technologies: Scala, Python, PySpark, Spark, Databricks, Azure, AWS, GCP
  • Key Responsibilities: Data pipeline optimization, Data Lakehouse architecture, large-scale data transformation, query optimization.
  • Benefits: Competitive salary, flexible remote work options, flexible hours, 23 days of vacation, restaurant card, medical & dental insurance, continuous training.

Job Details:

Job TitleLocationExperienceSalary RangeVacanciesAge Limit
Azure Databricks Data EngineerCatalunya, Spain4-5 yearsCompetitive1N/A

Skills

  • Solid experience in development with Scala, Python, or PySpark on Spark for distributed processing
  • Experience with Databricks and knowledge of Data Lakehouse architectures
  • Advanced SQL knowledge, query optimization, and scalable data modeling
  • Experience in deployments and automation with tools like Terraform, Airflow, or similar
  • Familiarity with cloud environments
  • Analytical mindset focused on efficiency, optimization, and scalability of data processes
  • Collaborative attitude and passion for innovation, working in teams to solve complex challenges

Duties and Responsibilities:

  • Develop and optimize data pipelines in Scala, Python, or PySpark, ensuring performance, quality, and scalability
  • Design and build Data Lake and Data Warehouse architectures in cloud environments (primarily Azure, or AWS/GCP)
  • Transform data at scale using Spark, applying best practices for distributed processing
  • Optimize queries and storage in Databricks, ensuring efficient data consumption and cost reduction
  • Integrate multiple data sources, ensuring their quality, consistency, and traceability
  • Collaborate with multidisciplinary teams, driving continuous improvement in data ingestion, transformation, and exploitation processes

How to apply

  • Step 1: Access Application Portal Navigate to the application link provided on eurojobs.com.
  • Step 2: Complete Application Form Fill out the online application form accurately with your personal and professional details.
  • Step 3: Submit Your CV Upload your detailed Curriculum Vitae (CV) highlighting your experience with Scala, Python, PySpark, Spark, Databricks, and cloud platforms.
  • Step 4: Attach Supporting Documents Ensure all relevant certificates and proof of qualifications are attached as required.
  • Step 5: Review and Submit Carefully review your application before final submission to ensure all information is correct.
  • Application Deadline: Ensure your application is submitted by 18.12.2026.
  • Contact Information: For inquiries, please refer to the contact details available on the eurojobs.com listing.


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