Siemens Healthineers is hiring a Data Engineer Internship for its Bangalore office with an estimated stipend in the range of ₹3–5 LPA (best in industry / market-aligned for technical interns). This is a full-time, office-based role where students and fresh graduates can work on real-world data engineering, analytics, and cloud projects in the healthcare technology domain.
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SEO Title & Key Highlights
- SEO Title: Data Engineer Internship at Siemens Healthineers Bangalore | Stipend ₹3–5 LPA | Apply Now
- Focus Keywords:
- Siemens Healthineers Data Engineer Internship Bangalore
- Data Engineer Intern Siemens Healthineers India
- Siemens technical intern Bangalore stipend
- Data engineering internship for freshers in Bangalore
- Location: Bangalore, Karnataka, India (Office/Site only)
- Role: Data Engineer Intern / Technical Intern (Data & Analytics focused)
- Type: Full-time internship, early-career/student role
- Stipend: Market-aligned; typical range for such roles is around ₹3–5 LPA based on skills and college background.
About Siemens Healthineers & This Internship
Siemens Healthineers is a global medtech leader working on medical imaging, diagnostics, and healthcare IT solutions that power hospitals and clinics worldwide. In India, its Bangalore office is a major tech hub where teams build data platforms, analytics products, and cloud-based healthcare solutions.
As a Data Engineer Intern at Siemens Healthineers Bangalore, you will join the internal services / data engineering group, contributing to scalable data pipelines, analytics solutions, and big-data platforms that support critical healthcare decisions. This internship is ideal for students who want to enter data engineering with a strong brand name, modern tech stack, and real-world use cases in healthcare.
Role, Responsibilities & Tech Stack
What you will work on
As a Data Engineer Intern / Technical Intern, you will be involved in:
- Designing, developing, and maintaining data pipelines and ETL workflows using modern data tools and SQL-based systems.
- Working with large structured and unstructured datasets (often at multi-terabyte scale) to build reliable and performant data models.
- Supporting the implementation of cloud-based data architectures on Azure, including services like Azure Blob Storage, Azure Databricks, and Azure Data Factory.
- Assisting in prototyping and proof-of-concept development using multiple data sources, AI/ML methods, and big-data technologies.
- Creating and optimizing data warehousing solutions (Teradata, Snowflake, etc.) and understanding concepts like star schema and snowflake schema.
- Collaborating with data architects, analysts, and software engineers to deliver meaningful business insights for healthcare products.
Tools & technologies you may use
- Databases: RDBMS (Microsoft SQL Server, Oracle, etc.), data warehousing platforms (Teradata, Snowflake).
- Languages: SQL as a core skill; Python or R is a strong plus for scripting and data processing.
- Cloud: Azure services (Blob, Databricks, Data Factory) and exposure to AWS or other cloud platforms is desirable.
- BI/Reporting: Power BI, Qlik, Tableau, or similar tools for dashboards and reporting.
Eligibility, Skills & Who Should Apply
Basic eligibility
- Education:
- Experience level:
- Status:
Technical skills required
- Strong understanding of database fundamentals and relational database design.
- Solid hands-on experience with SQL and query optimization.
- Exposure to data engineering or analytics projects (at least 1–2 projects in academics, internships, or personal work).
- Basic understanding of ETL concepts and experience with any ETL tool or self-built pipeline.
- Good knowledge of data warehousing concepts like fact/dimension tables, star and snowflake schemas.
- Bonus skills:
Soft skills
- Strong attention to detail and analytical thinking.
- Ability to work in global, cross-functional teams and communicate clearly.
- Willingness to learn, experiment, and contribute to large-scale healthcare projects.
Stipend, Benefits & Why This Is a Great Opportunity
While the official Siemens Healthineers careers page lists compensation as “best in industry,” Indian sources and community posts indicate that technical/Data Engineer interns at Siemens Healthineers Bangalore can expect stipends roughly in the ₹3–5 LPA equivalent range, sometimes communicated as ₹25K–₹50K per month depending on profile. This makes it one of the more competitive data-focused internships for students in India.
Beyond stipend, interns gain:
- Brand value of a top global healthcare technology firm, which boosts future job opportunities across data, analytics, and software roles.
- Exposure to real healthcare datasets, analytics pipelines, and cloud technologies that are directly used in medical products and internal platforms.
- Mentorship from experienced data engineers, architects, and managers working on high-impact projects.
Application process
To apply for the Data Engineer Internship / Technical Intern role at Siemens Healthineers Bangalore, follow these steps:
- Visit the official careers portal
- Check role details and verify eligibility
- Prepare your resume and supporting documents
- Submit your online application
- Keep an eye on email and LinkedIn
Because these positions are often reviewed on a rolling basis and can close once enough applications are received, students interested in a high-impact Data Engineer Internship at Siemens Healthineers Bangalore should apply as soon as possible while preparing for SQL and database-related interviews in parallel.
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How To Apply?
If you are an Interested Candidate, you can apply for the Data Engineer Internship at Siemens Healthineers Bangalore | Stipend Rs. ₹3-5 LPA | Apply Click Here