What positions are currently available at Bluetab, an IBM Company?

Bluetab, an IBM Company is currently hiring for Senior Azure Databricks Data Engineer - Remote & Flexible. These positions offer competitive employment opportunities for qualified candidates.

How can I apply for positions at Bluetab, an IBM Company?

Interested candidates should prepare their complete application including updated CV, educational certificates, experience documents, CNIC copy, and recent photographs. Submit through the specified application method before the deadline mentioned in the job advertisement.

What documents are required when applying to Bluetab, an IBM Company?

Required documents for application to Bluetab, an IBM Company typically include: Updated CV/Resume, CNIC/National Identity Card copy, all educational certificates and transcripts, professional experience certificates, recent passport-sized photographs, domicile certificate, and any other position-specific documents mentioned in the application requirements.

What is the selection process at Bluetab, an IBM Company?

The selection process at Bluetab, an IBM Company typically involves multiple stages: Initial application screening and document verification, written tests or skill assessments for certain positions, personal interviews with the selection committee, final document verification, and official appointment. Only shortlisted candidates will be contacted for subsequent stages.

What is the application deadline for positions at Bluetab, an IBM Company?

The application deadline for current positions at Bluetab, an IBM Company is December 18, 2026. Applications must be submitted before this date to be considered for the selection process.

Where are the job locations for Bluetab, an IBM Company positions?

The job locations for Bluetab, an IBM Company positions are primarily in Castilla. Specific location details for each position are provided in the detailed job advertisement.

Senior Azure Databricks Data Engineer - Remote & Flexible

Join Bluetab, an IBM Company, a Great Place to Work, as a Senior Azure Databricks Data Engineer.

Additionally, immediate vacancies are available for qualified candidates.

This private sector opportunity in Spain offers flexible remote work and a chance to innovate with cutting-edge data platforms.

You will design and optimize large-scale data architectures, leveraging your expertise in Spark, Scala, Python, or PySpark, and Databricks on Azure, AWS, or GCP environments.

This role is perfect for a tech-savvy professional passionate about Big Data and complex challenges.

You'll transform data at scale, integrate diverse sources, and optimize queries for maximum efficiency.

Be part of a dynamic team focused on continuous improvement and delivering high-impact data solutions for key clients.

Private

full-time

Spain

Jobs Date Posted:	03 November, 2026
Jobs Last Date to Apply:	18 December, 2026
Industry:	Information Technology
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:	Castilla
Country of Appointment:	Spain
Employer Department:	Data Engineering
Work Hours:	Flexible working hours, with reduced hours on Fridays and during July and August.

🎓 Qualifications Required

📌 Job Positions:

Azure Databricks Data Engineer

Further Details

We are seeking an experienced Azure Databricks Data Engineer to join Bluetab, an IBM Company, a certified Great Place to Work. This role focuses on designing, developing, and optimizing data pipelines and architectures within cloud environments, primarily Azure, but also AWS and GCP. You will utilize your skills in Spark, Scala, Python, PySpark, and Databricks to process large datasets and ensure data quality and scalability. This is an excellent opportunity for a private sector professional looking for challenging projects and a collaborative work environment. You will work on advanced data solutions, optimize data storage and queries, and integrate various data sources. Continuous learning and career development are central to our approach, making this a prime position for growth in the data engineering field.

Data Engineering Opportunities with Bluetab, an IBM Company

Bluetab, an IBM Company, is recognized as a "Great Place to Work" and "Best Work to Place", highlighting their commitment to employee well-being and professional growth. Explore these vacancies with competitive benefits. As a leading tech-focused entity, they serve as IBM's core in Data, Cloud, ML & IA, assisting key enterprises across various sectors in accelerating and optimizing their data and cloud strategies. Within their strategic Cloud Native line, they are actively seeking passionate Azure Cloud specialists to contribute to national and international projects. This is a prime opportunity for an experienced Azure Databricks Data Engineer to join a thriving private sector organization. The role involves designing and implementing robust data solutions, optimizing large-scale data processing, and ensuring data integrity. If you thrive in innovative environments and are eager to tackle complex data challenges, this position offers significant career advancement and skill development. Key Position Highlights:

Job Title: Azure Databricks Data Engineer
Location: Castilla y León, Spain (Remote Flexible)
Company: Bluetab, an IBM Company
Required Experience: 4-5 years
Key Technologies: Azure Databricks, Spark, Scala, Python, PySpark, Data Lakehouse, SQL, Terraform, Airflow
Benefits: Competitive salary, flexible telework, flexible hours, 23 days vacation, restaurant card, medical insurance, flexible compensation plan, continuous training.

Skills

Solid experience in development with Scala, Python, or PySpark for distributed processing on Spark
Experience with Databricks and knowledge of Data Lakehouse architectures
Advanced SQL knowledge, query optimization, and scalable data modeling
Experience with deployments and automation using 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

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 large-scale data using Spark, applying best practices for distributed processing
Optimize queries and Databricks storage, 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

💼 Prepare Your Application:

Ensure your CV is up-to-date, highlighting your experience with Spark, Scala, Python, PySpark, and Databricks.
Gather any relevant certifications or documentation showcasing your cloud and data engineering skills.

📩 Submit Your Application:

Visit the official application link provided: https://eurojobs.com/jobs/36909005/apply
Follow the on-screen instructions to complete the online application form.
Ensure all required fields are accurately filled out.

⏳ Application Deadline:

Submit your application before the closing date on 18 December 2026 to be considered.

⭐ What to Expect:

Successful candidates will be contacted for further stages of the recruitment process.
This role is part of Bluetab's commitment to diversity and inclusion.