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Barclays Data Engineer Recruitment 2026 | Pune | Data Engineering Jobs at Barclays | Apply Now | Placement Officer
📌 Summary
Barclays is hiring Data Engineers for its Corporate
Digital Banking division in Pune, India. This is an excellent
opportunity for professionals with experience in AWS, Databricks, Kafka,
Apache Flink, Spring Boot, Snowflake, Java, Data Pipelines, and Real-Time Data
Processing.
The selected candidates will work on
building cloud-native data platforms, scalable data pipelines, streaming
applications, and enterprise-grade data products that power Barclays'
digital banking ecosystem. If you're passionate about big data, cloud
technologies, event-driven architecture, and financial technology, this is a
fantastic opportunity to grow your career with one of the world's leading
global banks.
🌟 Barclays Data Engineer Recruitment 2026 | Data Engineering Careers
in Pune
📋 Job Overview
|
Particular |
Details |
|
Company |
Barclays |
|
Role |
Data Engineer |
|
Business Area |
Corporate Digital
Banking |
|
Job Type |
Full-Time
(Permanent) |
|
Job Location |
Pune, Maharashtra |
|
Experience |
Experienced
Professionals |
|
Work Mode |
Office/Hybrid (As
per Business Requirement) |
|
Reference Code |
JR-0000110318 |
|
Apply Mode |
Online |
🏢 About Barclays
Barclays is a leading global financial
services institution known for driving innovation in Digital Banking,
Artificial Intelligence, Cloud Computing, Machine Learning, Blockchain, Big
Data, and FinTech. Its technology teams develop scalable digital solutions
serving millions of customers worldwide while working on next-generation
financial platforms.
💼 Job Description
As a Data Engineer, you will
design, develop, and maintain scalable cloud-based data platforms and real-time
data processing systems. You will build secure, high-performance data pipelines
using modern technologies while collaborating with engineering, data science,
and business teams.
🎯 Key Responsibilities
✅
Design and develop cloud-based data pipelines
✅ Build
scalable Data Lakes and Data Warehouses
✅
Develop Kafka Streams and Apache Flink applications
✅
Create Databricks data products and ETL pipelines
✅ Build
real-time streaming data solutions
✅
Integrate IBM MQ and Kafka messaging systems
✅
Transform financial message formats (ISO 20022, SWIFT MT, JSON, AVRO)
✅
Develop Spring Boot applications
✅ Write
unit and integration tests using JUnit 5 & Mockito
✅
Perform code reviews and maintain coding standards
✅
Troubleshoot applications using ELK Stack
✅
Collaborate with Agile Scrum teams
💻 Technologies You'll Work With
·
AWS Cloud
·
Databricks
·
Snowflake
·
Apache Kafka
·
Apache Flink
·
Spring Boot
·
Spring Framework
·
Java
·
IBM MQ
·
ELK Stack
·
AVRO
·
JSON
·
Git
·
JUnit 5
·
Mockito
·
Data Lakes
·
Data Warehouses
🎓 Educational Qualification
Candidates should possess:
·
B.E./B.Tech
·
M.E./M.Tech
·
MCA
·
Computer Science
·
Information
Technology
·
Data Engineering
·
Software Engineering
·
Related Technical
Disciplines
📅 Eligible Candidates
This role is intended for experienced
Data Engineering professionals with hands-on expertise in cloud
technologies, streaming platforms, and enterprise data engineering.
📍 Job Location
📍 Pune,
Maharashtra, India
💰 Expected Salary
Barclays has not officially disclosed the
salary. Based on industry benchmarks and similar Data Engineer roles in Pune:
🇮🇳 Expected Annual CTC
·
₹18 LPA – ₹35 LPA
Senior professionals with advanced cloud
and streaming expertise may receive even higher compensation, depending on
experience and interview performance.
🛠 Essential Skills Required
✔
Databricks
✔ AWS
Cloud
✔
Apache Kafka
✔
Apache Flink
✔
Spring Boot
✔
Spring Framework
✔
Snowflake
✔ Java
✔ Git
✔ SQL
✔ Data
Pipelines
✔ Data
Warehousing
✔ Data
Lakes
✔ Event
Streaming
✔ IBM
MQ
✔ REST
APIs
✔ JUnit
5
✔
Mockito
✔ ELK
Stack
✔ Agile
& Scrum
✔ Data
Structures & Algorithms
⭐ Preferred Skills
·
Payment Processing
Domain
·
Data Mesh
Architecture
·
ISO 20022
·
SWIFT MT Messages
·
Prowide Core
·
Kafka Streams
·
Stateful Stream
Processing
·
Checkpointing &
State Backends
·
JMS Messaging
·
Financial Services
Experience
🎁 Benefits of Joining Barclays
💰
Competitive Salary
🎯
Performance-Based Rewards
🌍
Global Banking Exposure
📚
Continuous Learning & Upskilling
🚀
Career Growth Opportunities
🏦 Work
on Enterprise-Scale Financial Systems
🤝
Collaborative & Inclusive Work Culture
💼
Permanent Employment
📝 Expected Selection Process
1. Online Application
2. Resume Screening
3. Technical Assessment
4. Technical Interview
5. Managerial Interview
6. HR Discussion
7. Offer Rollout
🚀 Pro Tips to Crack the Interview
✅ Master Cloud Platforms
Gain hands-on experience with AWS
services, Databricks, and Snowflake.
✅ Learn Streaming Technologies
Understand Kafka Streams, Apache Flink,
and real-time event processing.
✅ Strengthen Java Skills
Focus on Spring Boot, multithreading,
collections, and REST APIs.
✅ Practice Data Engineering Concepts
Build ETL pipelines, Data Lakes, Data
Warehouses, and streaming applications.
✅ Understand Financial Messaging
Learn ISO 20022, SWIFT MT, and payment
processing basics.
✅ Improve Testing Skills
Practice JUnit 5, Mockito, and
integration testing.
❓ Frequently Asked Questions (FAQs)
Q1. Which company is hiring?
Barclays.
Q2. What is the job role?
Data Engineer.
Q3. Where is the job located?
Pune, Maharashtra.
Q4. Is this a permanent role?
Yes, it is a Permanent Full-Time
position.
Q5. What are the primary technologies required?
Databricks, AWS, Kafka, Apache
Flink, Spring Boot, Snowflake, Java, Git, and SQL.
Q6. Is prior experience required?
Yes, this role is aimed at
experienced Data Engineering professionals.
Q7. What is the expected salary?
Approximately ₹18–35 LPA, depending on experience and
technical expertise.
🎯 Conclusion
The Barclays Data Engineer Recruitment 2026 offers an exceptional opportunity for experienced data engineering professionals to work on large-scale cloud-native banking platforms using modern technologies such as AWS, Databricks, Kafka, Apache Flink, Spring Boot, and Snowflake. With competitive compensation, exposure to enterprise-grade financial systems, and strong career growth prospects, this role is ideal for professionals looking to advance in cloud data engineering and real-time data processing. Candidates with expertise in distributed systems, streaming technologies, and financial data platforms should strongly consider applying.
🔗 Apply Link: Click Here To Apply for Barclays
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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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