IBM Quality Engineer – Data Jobs 2026 | Bangalore | Entry-Level Hybrid Role

IBM is hiring Quality Engineer – Data professionals in Bangalore for its Consulting division. This entry-level role is ideal for freshers and early-career candidates with strong SQL skills and exposure to cloud data platforms such as Azure Databricks. The position offers a hybrid work model, structured learning, and the opportunity to work with global clients on data-driven transformation projects.

As part of IBM Consulting Client Innovation Centers, selected candidates will contribute to enterprise-grade data quality validation, analytics support, and collaborative delivery across industries including technology, public sector, and enterprise services.

Quick Job Overview – IBM Quality Engineer (Data)

Job Details

Education & Eligible Batches

Role Overview – Quality Engineer (Data) at IBM

As a Quality Engineer – Data, you will support data validation, testing, and quality assurance activities across cloud-based data platforms. The role focuses on ensuring data accuracy, reliability, and performance for enterprise analytics and AI-driven solutions.

You will collaborate with cross-functional teams, follow structured delivery processes, and contribute to client projects that leverage hybrid cloud, analytics, and modern data engineering practices.

This role is well-suited for candidates aiming to build a career in data engineering, analytics quality assurance, and cloud platforms.

Key Responsibilities

• Work collaboratively within project teams to support data quality initiatives
• Write and execute complex SQL queries for data validation and analysis
• Assist in data processing and quality checks using Azure Databricks
• Support knowledge sharing and procedural training within the team
• Communicate effectively with internal stakeholders and delivery teams
• Follow IBM’s delivery standards, compliance practices, and documentation guidelines

Required Skills & Expertise

Technical Skills

• Strong SQL query writing and data analysis capability
• Hands-on or academic exposure to Azure Databricks
• Understanding of data validation, transformation, and quality checks

Professional Skills

• Clear verbal and written communication
• Team-oriented mindset with willingness to learn
• Ability to understand processes and explain technical concepts

Why Join IBM Consulting?

IBM Consulting offers a long-term career ecosystem, not just a job. Employees work on real-world business problems using advanced technologies like AI, cloud, analytics, and automation.

Key benefits include:

• Exposure to global enterprise and public sector clients
• Structured learning and continuous upskilling opportunities
• Collaborative work culture with mentorship support
• Hybrid work flexibility and strong career progression paths

Life at IBM

IBM promotes a culture of curiosity, trust, and growth. Employees are encouraged to innovate, share feedback, and continuously evolve their skills. The organization values diversity, inclusion, and ethical technology usage, ensuring equal opportunities for all professionals.

About IBM

Founded in 1911, IBM is a global leader in technology and consulting, supporting Fortune 500 companies worldwide. With expertise in AI, cloud computing, quantum technology, and enterprise solutions, IBM continues to shape the future of responsible innovation.

Job Highlights for Freshers

• Entry-level data role in a global MNC
• Hybrid work model in Bangalore
• Strong exposure to SQL, cloud data platforms, and analytics
• Ideal for candidates targeting careers in Data Engineering & Quality

Frequently Asked Questions (FAQs) – IBM Quality Engineer (Data)

1. Is the IBM Quality Engineer – Data role suitable for freshers?

Yes. This is an entry-level role, and freshers with strong fundamentals in SQL, data concepts, and cloud platforms are eligible to apply.

2. What skills are required for this IBM Quality Engineer – Data position?

Candidates should have:

• Strong SQL query writing skills
• Basic to intermediate experience with Azure Databricks
• Good communication and teamwork abilities
• Interest in data quality, validation, and analytics workflows

3. What is the work model for this role?

The role follows a hybrid work model, combining office-based work in Bangalore with remote flexibility based on project needs.

4. Is this a testing or data analytics role?

This role focuses on data quality engineering, which sits between data analytics and quality assurance. You will work on validating, testing, and ensuring accuracy of data used in analytics and AI systems.

5. Which department does this role belong to?

The position comes under the Software Engineering department within IBM Consulting.

6. Is a Master’s degree mandatory for this job?

No. A Bachelor’s degree is mandatory, while a Master’s degree is preferred but not compulsory.

7. Will I get exposure to real client projects at IBM?

Yes. You will work from IBM Consulting Client Innovation Centers, supporting global public and private sector clients.

8. Does this role involve travel?

Yes, limited travel may be required — up to 20% or roughly one day per week, depending on project requirements.

9. What technologies will I work with in this role?

You will primarily work with:

• SQL
• Azure Databricks
• Cloud-based data platforms
• Enterprise data quality frameworks

10. Is IBM an equal-opportunity employer?

Yes. IBM is a global equal-opportunity employer and follows inclusive hiring practices across all roles.

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