Azure Databricks Data Engineer in Murcia, Spain - Competitive Salary & Career Growth

Further Details

This full-time Data Engineer position in Murcia, Spain, requires 4-5 years of experience in data processing with Scala, Python, or PySpark on Spark and Databricks platforms. Candidates must possess strong skills in SQL optimization, data lakehouse architectures, and cloud environments like Azure, AWS, or GCP. The role involves designing and optimizing large-scale data pipelines, ensuring high performance and cost efficiency. Bluetab, an IBM Company, provides a supportive environment for professional growth, with flexible work options, continuous training, and a commitment to diversity and inclusion. Apply now to explore overseas employment opportunities in Spain's thriving tech sector.

Azure Databricks Data Engineer Opportunities in Murcia, Spain

Bluetab, an IBM Company, a renowned private sector leader in cloud and data solutions, is offering a premier career opportunity for a Data Engineer in Murcia, Spain. Explore these public sector jobs with competitive benefits. This role is perfect for professionals seeking to work on innovative data projects with cutting-edge technologies like Azure Databricks and Spark. As part of a global team, you will design and optimize scalable data architectures that drive business value and efficiency.

• Key Position: Data Engineer specializing in cloud data platforms
• Required Experience: 4-5 years in data engineering with Spark and Databricks
• Location: Murcia, Spain, with flexible work options
• Benefits: Competitive salary, 23 days of vacation, health insurance, and continuous training

Join a company that values innovation, diversity, and professional growth. This position is ideal for those looking to make an impact in the data engineering field within a supportive and dynamic environment.

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 skills, query optimization, and scalable data models
• Experience in deployment and automation with tools like Terraform, Airflow, or similar
• Familiarity with cloud environments (Azure, AWS, or GCP)
• Analytical mindset focused on efficiency, optimization, and scalability of data processes
• Collaborative attitude and passion for innovation in team settings

Duties and Responsibilities:

• Develop and optimize data pipelines in Scala, Python, or PySpark using Spark or Databricks, 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 large-scale data using Spark, applying best practices in distributed processing
• Optimize queries and storage in Databricks to ensure efficient data consumption and cost reduction
• Integrate multiple data sources, ensuring quality, consistency, and traceability
• Collaborate with multidisciplinary teams to drive continuous improvement in data ingestion, transformation, and exploitation

How to apply

• 💼 Prepare your updated CV highlighting relevant experience in data engineering and cloud technologies.
• 📅 Note the application deadline: 18 December 2026.
• 🌐 Click the apply now link to submit your application online.
• 📄 Include details of your projects involving Spark, Databricks, and cloud platforms.
• ✅ Ensure your application emphasizes skills in Scala, Python, SQL optimization, and data architecture.
• 📢 Applications are reviewed on a rolling basis, so apply early to secure an interview.