

HSBC is hiring an experienced Data Engineer for its Global Markets – MSS AI Team in Bangalore (Hybrid work model). This role focuses on building and productionising scalable data platforms, AI/ML solutions, and advanced analytics systems in close collaboration with front-office, sales, and trading teams.
This is an excellent opportunity for professionals looking to work in a global banking environment with exposure to big data, cloud platforms, and AI/ML technologies.
📌 Job Overview – HSBC Data Engineer
| Details | Information |
|---|---|
| Company Name | HSBC |
| Job Role | Data Engineer – Global Markets |
| Job ID | 20783 |
| Job Type | Full-Time |
| Work Mode | Hybrid |
| Experience Required | 2–6 Years (Expected) |
| Qualification | Bachelor’s / Master’s degree in CS, IT, Data, or related field |
| Expected CTC | ₹18–28 LPA (Expected, based on skills & experience) |
| Job Location | Bangalore, Karnataka, India |
| Date Posted | 29 January 2026 |
| Last Date to Apply | 08 February 2026 |
| Official Careers Page | https://www.hsbc.com/careers |
🏢 About HSBC



HSBC is one of the largest banking and financial services organizations in the world, operating across 64 countries and territories. The company aims to be where growth is, helping businesses thrive and economies prosper, while enabling individuals to achieve their ambitions.
Why work at HSBC?
- Inclusive and diverse work culture
- Hybrid and flexible working arrangements
- Continuous professional development
- Strong focus on innovation and technology
- Equal opportunity employer
🧑💻 Role Summary – Data Engineer (MSS AI Team)
| Overview |
|---|
| Part of a global AI & Machine Learning engineering team |
| Supports Markets & Securities Services (MSS) |
| Builds, experiments, and productionises AI/ML-driven data solutions |
| Works closely with front office, sales, and trading teams |
| Develops scalable data pipelines, platforms, and analytics systems |
🔹 Key Responsibilities of a Data Engineer
| Area | Responsibilities |
|---|---|
| AI & ML Enablement | Build and productionise AI/ML solutions for Global Markets |
| Data Engineering | Source, ingest, and integrate internal & external data |
| Data Platforms | Create data dictionaries, staging layers, and access controls |
| Analytics | Work with structured & unstructured data (time-series, news, documents) |
| Pipelines & APIs | Build scalable pipelines and APIs for big-data processing |
| Advanced Tech | Support GenAI, NLP, and traditional ML workloads |
| SDLC | Participate from design to deployment; manage risks & timelines |
| Delivery Review | Conduct post-implementation reviews to assess outcomes |
✅ Required Skills & Experience
🔧 Technical Skills
| Skill Area | Requirements |
|---|---|
| Programming | Strong proficiency in Python (enterprise environment) |
| Databases | SQL, MongoDB, KDB, PG Vector, RDBMS & NoSQL |
| Big Data | Spark, BigQuery, or similar |
| Cloud Platforms | GCP, Azure |
| DevOps | CI/CD (Jenkins), Git, testing frameworks |
| APIs | API development & permission controls |
| CS Fundamentals | Distributed systems, OS, security, networking |
➕ Good-to-Have Skills
| Additional Skills |
|---|
| Data modelling & data warehousing |
| Data pipeline architecture |
| Java / C++ / JavaScript experience |
🎯 Ideal Candidate Profile
| Expectations |
|---|
| Strong analytical and problem-solving skills |
| Curiosity and a continuous learning mindset |
| Ability to work in a fast-paced global environment |
| Comfortable collaborating across teams and regions |
🌍 Work Environment & Culture at HSBC
| Highlights |
|---|
| Inclusive and diverse workplace |
| Hybrid and flexible work options |
| Continuous learning & career growth |
| Equal opportunity employer |
HSBC encourages applications from all qualified candidates, regardless of gender, ethnicity, religion, disability, or background.
🔐 Data Privacy Notice
Personal data shared during the recruitment process will be handled in accordance with HSBC’s Privacy Statement, available on the official HSBC website.
📝 How to Apply for an HSBC Data Engineer Job
Interested and eligible candidates can apply online only through the official HSBC careers portal:
⚠️ Disclaimer
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Candidates are strongly advised to apply only through the official HSBC careers website and verify all details before submitting their application.


