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HSBC Entry Level Jobs 2026: Apply for Data Engineer Role in Bangalore (Hybrid) | Placement Officer
🔍 Quick Summary
HSBC is hiring Data Engineers
(Entry Level / Early Career) for its Global Markets – MSS AI Team in
Bangalore under a Hybrid work model. This is a high-impact
opportunity for candidates skilled in Python, SQL, Big Data, Cloud
(GCP/Azure), and AI/ML data pipelines who want to work on real-world
financial, trading, and GenAI solutions.
Apply before: 08 February 2026
🏦 About HSBC
HSBC is one of the largest
global banking and financial services organizations, operating in 64+
countries. Known for innovation, scale, and global exposure, HSBC focuses
on data-driven decision-making, AI/ML adoption, and digital transformation,
especially within its Markets & Securities Services (MSS) division.
📌 Job Overview – HSBC Data Engineer 2026
|
Detail |
Information |
|
Role |
Data
Engineer – Global Markets |
|
Job ID |
20783 |
|
Location |
Bangalore,
Karnataka |
|
Work Model |
Hybrid |
|
Job Type |
Full Time |
|
Experience |
Entry Level
/ Early Career |
|
Apply By |
08 February
2026 |
|
Department |
MSS AI Team |
🧠 Role Overview
As a Data Engineer, you’ll
work in a global AI team that partners directly with Front Office,
Sales, and Trading teams to build AI/ML and GenAI-powered data platforms.
The role focuses on data pipelines, analytics, APIs, and scalable
cloud-based systems used in real financial markets.
🛠️ Key Responsibilities
·
Build and
productionize AI/ML-ready data pipelines
·
Source and
integrate internal & external cross-asset data
·
Develop data
dictionaries, staging layers, and access controls
·
Work with structured
& unstructured data (time-series, news, documents)
·
Create scalable
APIs for fast data access
·
Design and
implement big data processing pipelines
·
Collaborate
across global teams to deliver business-critical solutions
·
Participate in
SDLC, risk management, and post-implementation reviews
🎯 Required Skills & Qualifications
✅ Must-Have Skills
·
Python
proficiency (enterprise-level)
·
Strong
knowledge of SQL & databases
·
Experience
with Big Data tools: Spark / BigQuery
·
Hands-on
exposure to Cloud platforms: GCP or Azure
·
Understanding
of data engineering fundamentals
·
Familiarity
with DevOps & CI/CD (Jenkins, Git)
·
API
development & permission control concepts
·
Strong
foundation in Computer Science fundamentals
⭐ Good to Have
·
NoSQL
databases (MongoDB, KDB, PG Vector)
·
Other
languages: Java / C++ / JavaScript
·
Exposure to AI/ML,
NLP, or GenAI data workflows
🚀 Why Choose HSBC?
·
🌍
Global exposure with real financial market data
·
🤖 Work
on AI, ML & GenAI solutions
·
🏦
Strong brand value for long-term career growth
·
🔁
Hybrid work flexibility
·
📈
Continuous learning & internal mobility
·
🤝
Inclusive & diverse work culture
🧩 Ideal Candidate Profile
·
Strong
analytical & problem-solving mindset
·
Passion for data
engineering & AI systems
·
Curious,
proactive, and eager to learn
·
Comfortable
working in fast-paced global teams
·
Strong
communication and collaboration skills
📝 How to Apply for HSBC Data Engineer 2026
1.
Visit HSBC
Careers Portal
2.
Search using Job
ID: 20783
3.
Apply before 08
February 2026
4.
Keep your resume
ATS-optimized with data engineering keywords
🔗 Official Careers Page: www.hsbc.com/careers
💡 Pro Tips to Crack HSBC Data Engineer Role
·
Highlight Python
+ SQL + Cloud projects on your resume
·
Add Spark /
BigQuery / Data Pipeline experience (even academic projects count)
·
Showcase any AI/ML
or GenAI data-related work
·
Revise Data
Warehousing & Distributed Systems
·
Practice SQL
+ Python coding questions
·
Understand financial
data basics (markets, time-series data)
❓ Frequently Asked Questions (FAQs)
Q1. Is this role suitable for freshers in 2026?
Yes. While it mentions “experienced
professional,” HSBC considers early-career and entry-level candidates
with strong technical skills.
Q2. Is this a hybrid role?
Yes, this is a Hybrid Worker
position based in Bangalore.
Q3. Do I need finance or banking experience?
No, but interest in financial
markets and data is beneficial.
Q4. What tech stack should I prepare?
Python, SQL, Spark, Cloud (GCP/Azure),
APIs, Git, CI/CD.
Q5. Is HSBC a good company for data engineers?
Absolutely. HSBC offers large-scale
data, AI exposure, global projects, and long-term growth.
🔚 Final Thoughts
If you’re targeting Data Engineer
roles in 2026, HSBC offers one of the strongest entry points into AI-driven
financial systems. With exposure to big data, cloud, and global markets,
this role can significantly accelerate your career in Data Engineering &
AI/ML.
👉 Apply early and prepare smartly. Opportunities like this are highly competitive.
🔗 Apply Link: Click Here To Apply for HSBC
|
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Disclaimer
The recruitment details shared above are for informational purposes only and
have been obtained from the organization’s official website. We do not
guarantee any job placements. Recruitment will be conducted according to the
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