IBM Recruitment 2026 : IBM India Private Limited has opened a vacancy for a Data Engineer – Data Platforms – Azure position in Bangalore, Karnataka. The role is part of IBM Consulting and focuses on the design, development, and maintenance of modern data engineering solutions within the Microsoft Azure cloud ecosystem.
The position targets experienced data engineering professionals (with 10 to 18 years of experience) possessing strong expertise in Azure data services, data pipelines, Synapse Analytics, Azure Data Factory, Databricks, Event Hub, Spark, Python/Scala, and related technologies.
This is a permanent professional role with a hybrid work arrangement. The official job posting indicates that travel of up to 20% of the time (or one day a week) may be required, and the work schedule follows a standard day shift.
IBM Data Engineer – Azure Recruitment 2026: Overview
| Particular | Details |
|---|---|
| Company | IBM India Private Limited |
| Business Unit | IBM Consulting |
| Job Title | Data Engineer – Data Platforms – Azure |
| Job ID | 130270 |
| Job Category | Data & Analytics |
| Position Type | Professional |
| Employment Type | Regular |
| Location | Bangalore, Karnataka, India |
| Work Arrangement | Hybrid |
| Experience Required | 10–18 Years |
| Required Education | Bachelor’s Degree |
| Preferred Education | Master’s Degree |
| Primary Cloud Platform | Microsoft Azure |
| Key Area | Data Engineering / Data Platforms |
| Shift | General / Daytime |
| Travel Required | Up to 20% or 1 day a week |
| Commission/Sales Role | No |
| Salary | Not specified in the job listing |
| Application Mode | Online |
| Employer | IBM India Private Limited |
Unique Opportunity
This opportunity at IBM is particularly relevant for experienced professionals looking to work on enterprise-scale data platforms and cloud-based data engineering solutions.
As a data engineer specializing in Azure data platforms, the selected candidate will advise on, develop, and maintain data engineering solutions within the Azure ecosystem.
The role involves creating both batch and real-time data pipelines, as well as working with technologies such as:
- Azure Synapse Analytics
- Azure Data Factory
- Azure Databricks
- Azure Event Hub
- Azure Data Lake Storage Gen2
- Azure Blob Storage
- Azure SQL Data Warehouse
- Cosmos DB
- Azure Functions
- Python
- Apache Airflow
- dbt
- Apache Spark
- Scala
- Azure Purview
This makes the position suitable for professionals with extensive experience in Azure data engineering, cloud data platforms, and large-scale data pipelines.
About the IBM Consulting Role
The position is part of IBM Consulting, a division where professionals collaborate with clients across various sectors to drive their technological transformation.
According to the job description, IBM Consulting focuses on fostering long-lasting relationships and collaboration with clients, while assisting organizations in their adoption of hybrid cloud and artificial intelligence.
The selected candidate will work at IBM Consulting’s FutureNow centers, which provide technical and industry expertise to clients in both the public and private sectors.
What does a Data Engineer (Data Platforms – Azure) do?
The Data Engineer will be responsible for designing, developing, implementing, and operating data engineering solutions on Microsoft Azure.
The primary objective of the position is to build reliable and scalable data platforms capable of processing data in both batch and real-time modes.
The role involves working across the entire data engineering lifecycle, including:
- Data pipeline development
- Data platform implementation
- Data layer design
- Cloud data engineering
- Batch processing
- Real-time data processing
- Data integration
- Data platform operations
- Data architecture implementation
- Data engineering automation
Key responsibilities
1. Design and construction of data pipelines
The selected candidate will design, build, and operate data pipelines—both batch and real-time—using Azure services.
Key technologies mentioned by IBM include:
- Azure Synapse Analytics
- Azure Data Factory
- Azure Databricks
- Azure Event Hub
The candidate is expected to develop reliable data pipelines that support business and customer requirements.
2. Develop the data layer
The role entails designing, developing, and operating the data layer using technologies such as:
- Azure Synapse Analytics
- SQL Data Warehouse
- Cosmos DB
Professionals must know how to design scalable data solutions and work with cloud-based data storage and analytics platforms.
3. Implement Azure data platform components
The candidate will work with multiple Azure data platform components.
These include:
- ADLS Gen2
- Azure Blob Storage
- SQL Data Warehouse
- Azure Synapse Analytics
- Synapse Spark
- Synapse SQL
- Azure Functions
- Python
- Azure Purview
- Cosmos DB
4. Use open-source data technologies
IBM also expects candidates to have experience with open-source technologies used in modern data engineering environments.
These include:
- Apache Airflow
- dbt
- Apache Spark
- Python
- Scala
Experience with Spark using Python or Scala can be particularly relevant to the role.
5. Ensure smooth data operations
The data engineer will also be responsible for operating and maintaining data engineering solutions.
The goal is to ensure:
- Reliable batch processing
- Reliable real-time processing
- Seamless data transfer
- Stable data pipelines
- Efficient data platform operations
- Continuous availability of data engineering solutions
Required Education
IBM specifies the following education requirements:
| Education Type | Requirement |
|---|---|
| Required Education | Bachelor’s Degree |
| Preferred Education | Master’s Degree |
A bachelor’s degree is the required educational qualification for the position, while a master’s degree is preferred.
Required experience
The job posting specifies:
10 to 18 years of experience
This is an advanced-level career opportunity, aimed primarily at candidates who already possess solid experience in data engineering and cloud data platforms.
| Requirement | Details |
|---|---|
| Minimum Experience | 10 Years |
| Maximum Experience Mentioned | 18 Years |
| Experience Area | Data Engineering / Data Platforms |
| Cloud Experience | Azure |
| Position Level | Professional |
Also Read: Wipro Application Security Architect Recruitment 2026
Required Technical and Professional Expertise
IBM has defined several areas of technical and professional expertise for this role.
Azure Toolset
Candidates must possess proficiency or experience with Azure services such as:
- Azure Synapse Analytics
- Azure Data Factory
- Azure Databricks
- Azure Event Hub
These services are used to design, build, and operate both batch and real-time data pipelines.
Important Technical Skills
| Skill Category | Technologies |
|---|---|
| Cloud Platform | Microsoft Azure |
| Data Warehouse | Azure Synapse Analytics, SQL Data Warehouse |
| Data Integration | Azure Data Factory |
| Big Data | Apache Spark |
| Data Processing | Spark / Python, Spark / Scala |
| Streaming | Azure Event Hub |
| Data Lake | ADLS2 |
| Cloud Storage | Azure Blob Storage |
| Database | Cosmos DB |
| Serverless | Azure Functions |
| Programming | Python, Scala |
| Workflow Orchestration | Apache Airflow |
| Data Transformation | dbt |
| Data Governance | Azure Purview |
Preferred Technical and Professional Experience
The experience preferred by IBM aligns with the required technical areas and includes experience with or familiarity with:
- Azure Services
- Azure Synapse Analytics
- Azure Data Factory
- Azure Databricks
- Event Hub
- Apache Airflow
- dbt
- Spark
- Python
- Scala
- ADLS2
- Blob Storage
- SQL Data Warehouse
- Cosmos DB
- Azure Functions
- Azure Purview
This position may be of particular interest to candidates with experience in several of these technologies.
Azure Data Engineering Technologies
The role encompasses the broad Azure data ecosystem.
Azure Synapse Analytics
Used for analytics, data warehousing, and large-scale data processing.
Azure Data Factory
Used to create and manage integration workflows and data pipelines.
Azure Databricks
Used for data engineering, analytics, and Spark-based processing.
Azure Event Hub
Used for event ingestion and real-time data streaming.
ADLS Gen2
Used as cloud-based data lake storage.
Azure Blob Storage
Used to store various types of data in the cloud.
Cosmos DB
Used as a globally distributed database service.
Azure Functions
Used for data processing workloads and serverless applications.
Azure Purview
Used for data governance and discovery capabilities.
Batch and Real-Time Data Processing
One of the most important aspects of this role is the ability to work with both batch and real-time data pipelines.
Batch Data Processing
Batch processing involves collecting and processing data in scheduled or grouped workloads.
Real-Time Data Processing
Real-time processing involves handling data as events or information become available.
The IBM role requires candidates to design, develop, and operate solutions that support both approaches.
Data Pipeline Development
The selected candidate will work on the full pipeline lifecycle.
This may include:
- Understanding data requirements.
- Designing the pipeline architecture.
- Selecting appropriate Azure services.
- Creating data ingestion workflows.
- Transforming and processing data.
- Loading data into appropriate storage or analytics systems.
- Monitoring pipeline operations.
- Troubleshooting issues and failures.
- Maintaining pipelines in production.
- Improving performance and reliability.
Work Location and Work Arrangement
| Particular | Details |
|---|---|
| City | Bangalore |
| State | Karnataka |
| Country | India |
| Work Arrangement | Hybrid |
| Area of Work | Data & Analytics |
| Employment Type | Regular |
| Position Type | Professional |
| Shift | General / Daytime |
| Travel | Up to 20% or 1 day a week |
IBM’s official announcement identifies Bangalore (Karnataka, India) as the location and specifies a hybrid work model.
Travel requirement
IBM has established the following:
Up to 20% or one day a week.
Therefore, candidates must be comfortable with the travel requirements associated with the position.
Exact travel requirements may depend on client and project needs.
Salary
IBM has not specified a salary range in the official job posting provided.
Therefore, candidates should not rely on unofficial salary figures when evaluating this position.
| Particular | Details |
|---|---|
| Salary | Not Specified |
| Compensation | Not Disclosed in Job Listing |
| Experience | 10–18 Years |
| Position | Data Engineer – Data Platforms – Azure |
Employment Details
| Particular | Details |
|---|---|
| Company | IBM India Private Limited |
| Job ID | 130270 |
| Employment Type | Regular |
| Position Type | Professional |
| Work Arrangement | Hybrid |
| Area of Work | Data & Analytics |
| Shift | General / Daytime |
| Sales Incentive Role | No |
| Travel | Up to 20% or 1 day a week |
About IBM Consulting
IBM Consulting is IBM’s global consulting and professional services division.
The organization collaborates with companies across various sectors on business and technology transformation initiatives.
The job description highlights IBM Consulting’s focus on:
- Business transformation
- Technology transformation
- Hybrid cloud
- Artificial intelligence
- Client collaboration
- Technology implementation
- Industry expertise
- Responsible use of technology
Therefore, the Data Engineer role operates within a consulting environment where professionals can work on technology solutions for a variety of clients.
IBM’s Work Culture
IBM describes its work environment as a space focused on continuous learning, collaboration, innovation, and professional development.
The company emphasizes the importance of:
- Continuous learning
- Collaboration
- Curiosity
- Innovation
- Feedback
- Professional growth
- Diverse perspectives
- Responsible technology
- Customer-focused results
Professionals joining IBM Consulting can work with colleagues and clients across various sectors and technology areas.
Who should apply?
This position is ideal for experienced professionals with solid knowledge of Azure data engineering and experience working with large-scale data platforms.
You should consider this opportunity if you have experience with:
- Azure data engineering
- Azure Synapse
- Azure Data Factory
- Azure Databricks
- Event Hub
- Data Lake
- Spark
- Python
- Scala
- Apache Airflow
- dbt
- Cosmos DB
- Data warehousing
- Batch processing
- Real-time data processing
You should also be comfortable working in a consulting technology environment and interacting directly with clients.
Important skills for candidates
Before applying, candidates should compare their experience with the technologies mentioned in the official call for applications.
Important skills for candidates
Before applying, candidates should compare their experience with the technologies mentioned in the official call for applications.
| Skill | Importance |
|---|---|
| Azure Data Engineering | High |
| Azure Synapse Analytics | High |
| Azure Data Factory | High |
| Azure Databricks | High |
| Data Pipelines | High |
| Batch Processing | High |
| Real-Time Processing | High |
| Azure Data Platform | High |
| Spark | Important |
| Python | Important |
| Scala | Relevant |
| Apache Airflow | Relevant |
| dbt | Relevant |
| Cosmos DB | Relevant |
| Azure Purview | Relevant |
Application process for the Data Engineer (Azure) position at IBM (2026)
Interested candidates can apply online via the official IBM careers portal.
Step 1: Visit the IBM careers page
Access the official IBM job posting for the position of Data Engineer – Data Platforms – Azure.
Step 2: Verify the Job ID
Ensure the listing corresponds to the following position:
Job ID: 130270
Step 3: Verify the location
Confirm that the job location is:
Bangalore, Karnataka, India
Step 4: Review your experience
Ensure your experience aligns with the requirement of 10 to 18 years and the technical skills mentioned in the job posting.
Step 5: Prepare your resume
Your resume should clearly reflect relevant experience in:
- Azure
- Data engineering
- Data pipelines
- Synapse
- Data Factory
- Databricks
- Spark
- Python/Scala
- Data warehousing
- Cloud data platforms
Step 6: Apply Online
Click the “Apply Now” option on the official IBM careers page and complete the application.
Important documents and information to have on hand
Generally, candidates should have the following information ready when applying:
- Updated résumé
- Academic background
- Professional experience details
- Contact information
- Current location
- Relevant technical skills
- Details of previous employment
- Certifications (if applicable)
- Project experience
Candidates must provide accurate information in their application.
Selection process
IBM has not specified a detailed, step-by-step selection process in the provided job description.
Therefore, candidates should not assume there will be a fixed number of interview rounds.
The selection process may include an assessment of the following candidate attributes:
- Technical competence
- Azure knowledge
- Data engineering experience
- Problem-solving ability
- Project experience
- Communication skills
- Consulting capabilities
- Relevant professional background
The exact stages of the selection process should be confirmed with IBM as the process unfolds.
Important Points Before Applying
- The position requires 10 to 18 years of experience.
- A bachelor’s degree is required.
- A master’s degree is considered an asset.
- The position is based in Bangalore, Karnataka.
- The work arrangement is hybrid.
- The primary technology ecosystem is Microsoft Azure.
- The work area is Data & Analytics.
- Travel may be required up to 20% of the time or one day a week.
- Standard daytime working hours apply.
- This is a standard professional role.
- The salary is not specified in the job posting.
- The position does not involve sales commissions or incentives.
- Candidates should apply only if their experience aligns with the role.
IBM Data Engineer – Azure Recruitment 2026: Important Links
| Purpose | Link |
|---|---|
| Apply Online | IBM Official Application Page |
| Official Job Listing | IBM Careers |
| Job ID | 130270 |
| Job Title | Data Engineer – Data Platforms – Azure |
| Company | IBM India Private Limited |
| Location | Bangalore, Karnataka, India |
| Official Careers Portal | IBM Careers |
IBM Data Engineer – Data Platforms – Azure Recruitment 2026 FAQs
1. What is the job title at IBM?
The job title is Data Engineer – Data Platforms – Azure.
2. What is the IBM job posting ID?
The job ID is 130270.
3. Where is the IBM Data Engineer position located?
The position is located in Bangalore, Karnataka, India.
4. How much experience is required?
IBM has specified 10 to 18 years of experience for this position.
5. What educational background is required?
A Bachelor’s Degree is required. A Master’s Degree is considered a plus.
6. What technologies are required for this position?
The position involves using Azure technologies, including Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Event Hub, ADLS2, Blob Storage, SQL Data Warehouse, Azure Functions, Azure Purview, and Cosmos DB.
7. Is Python required for the IBM Data Engineer position?
Python is specifically mentioned in the requirements regarding the Azure data platform and open-source technologies. Spark/Python is also referenced.
8. Does the IBM Data Engineer position allow for working from home?
The official posting specifies a hybrid work arrangement.
9. What is the salary for this position at IBM?
IBM has not specified the salary in the provided job posting.
10. Is travel required?
Yes. IBM has specified up to 20% travel time or one day per week.
11. What are the working hours?
The position follows a standard or daytime schedule.
12. Is this a sales or commission-based position?
No. The IBM posting indicates that it is not a commission-based or sales-incentive-driven position.
13. What type of employment is it?
The position is listed as regular, and the category is professional.
Final Considerations
The Data Engineer (Data Platforms – Azure) position at IBM represents an excellent opportunity for experienced data engineering professionals who wish to work with the Azure cloud, modern data platforms, and large-scale data pipelines.
The position is based in Bangalore, Karnataka, operates under a hybrid work model, and requires between 10 and 18 years of experience. IBM requires a bachelor’s degree, though a master’s degree is considered an asset.
The role encompasses a wide range of technologies, including Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Event Hub, ADLS2, Blob Storage, SQL Data Warehouse, Cosmos DB, Azure Functions, Azure Purview, Apache Airflow, dbt, Spark, Python, and Scala.
Candidates are advised to carefully compare their experience against the requirements detailed in the official IBM job description before submitting their application.