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Experienced Azure Databricks Data Engineer for Innovative Projects in Spain

Bluetab, an IBM Company, a distinguished "Great Place to Work" and "Best Work to Place", is actively seeking a proficient Azure Databricks Data Engineer.

Join their leading tech-focused team, instrumental in driving IBM's strength in Data, Cloud, ML & AI, to accelerate and optimize data strategies on cloud platforms.

This role offers a unique opportunity to engage in national and international projects, pushing your skills to the forefront of data engineering innovation.

We are looking for passionate individuals skilled in Scala, Python, or PySpark, with a deep understanding of developing and executing Spark processes or working with Databricks in cloud environments.

If you have a passion for Big Data, thrive on complex challenges, and excel at optimizing large-scale data pipelines, this is your chance to join a company where innovation, scalability, and efficiency are paramount.

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
Job Location: Andalucía
Country of Appointment: Spain
Employer Department: Data Engineering
Employer Address: Not specified in advertisement
Work Hours: Flexible working hours, with intensive hours on Fridays and during summer months (July and August).
🎓 Qualifications Required
BA
📌 Job Positions:

Further Details

This Azure Databricks Data Engineer position at Bluetab, an IBM Company, offers a significant opportunity for professionals eager to advance their careers in cloud-native data engineering. The role focuses on developing and optimizing data pipelines using Scala, Python, or PySpark on Spark and Databricks within cloud environments, primarily Azure. You will be instrumental in designing and building robust Data Lake and Data Warehouse architectures, ensuring high performance and scalability. Ideal candidates will possess a strong background in distributed data processing and a keen analytical mindset for efficiency and optimization. The company champions diversity and inclusion, providing a supportive and innovative work environment. This role is perfect for those looking to excel in a private sector tech company with a strong commitment to employee growth and development, offering competitive compensation and flexible work arrangements.

Azure Databricks Data Engineer Opportunities in Spain

Bluetab, an IBM Company, a recognized "Great Place to Work" and "Best Work to Place", is extending an invitation for talented individuals to join their team as Azure Databricks Data Engineers. This private sector role is crucial for driving innovation in Data, Cloud, ML & AI, partnering with key enterprises to optimize their data strategies. If you're passionate about Big Data and possess expertise in Spark, Databricks, and cloud platforms, this is an exceptional opportunity for career advancement.

We are specifically looking for candidates with a minimum of 4-5 years of experience in developing and executing Spark processes using Scala, Python, or PySpark. Explore these best career opportunities with competitive benefits. The role involves designing robust data architectures and optimizing data pipelines for scalability and efficiency. This is a chance to contribute to cutting-edge projects within a company that prioritizes employee growth and a dynamic work environment.

  • Job Title: Azure Databricks Data Engineer
  • Location: Andalucía, Spain
  • Company: Bluetab, an IBM Company
  • Key Technologies: Azure, Databricks, Spark (Scala, Python, PySpark)
  • Experience Required: 4-5 years
  • Key Responsibilities: Pipeline development, Data Lake/Warehouse architecture, Spark processing, Databricks optimization.
  • Benefits: Competitive salary, flexible telework, flexible hours, 23 days vacation, restaurant card, medical/dental insurance, flexible benefits plan, continuous training.

Skills

  • Solid experience in development with Scala, Python, or PySpark over 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 (Azure, AWS, GCP)
  • Analytical mindset focused on efficiency, optimization, and scalability of data processes
  • Collaborative attitude and passion for innovation
  • Ability to work in a team 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, but also AWS or GCP)
  • Transform data at scale using Spark, applying best practices for distributed processing
  • Optimize queries and storage in Databricks to ensure efficient data consumption and cost reduction
  • Integrate multiple data sources, ensuring their quality, consistency, and traceability
  • Collaborate with multidisciplinary teams to drive continuous improvement in data ingestion, transformation, and exploitation processes

How to apply

  • Eligibility: EU work permit required.
  • Application Process: Click on the provided application link to submit your candidacy.
  • Required Documents: Ensure your CV highlights your experience with Azure, Databricks, Spark (Scala, Python, PySpark), and cloud architectures.
  • Deadline: All applications must be submitted by 18th December 2026.
  • Further Information: For detailed project examples and company culture, please refer to the full job description.
  • Join Us: If you are ready to propel your career in Data Engineering within a challenging and innovative environment, we encourage you to apply.
This position represents excellent Data Engineer vacancies Andalucía in the region.


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