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Senior Data Engineer

BarclaysPune, Maharashtra, IndiaPosted 16 May 2026

Barclays is hiring a Senior Data Engineer (VP level) for their Investment Bank Research Data & AI organization in Pune. The role focuses on architecting and scaling high-performance, agentic data pipelines using Data Mesh principles. Candidates must have deep expertise in Python, Java/C++, AWS, and distributed processing engines like Spark. This is a critical role that will shape the firm's data ingestion architecture and support advanced AI capabilities.

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Experience

Experience not specified

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

Barclays is hiring a Senior Data Engineer (VP level) for their Investment Bank Research Data & AI organization in Pune. The role focuses on architecting and scaling high-performance, agentic data pipelines using Data Mesh principles. Candidates must have deep expertise in Python, Java/C++, AWS, and distributed processing engines like Spark. This is a critical role that will shape the firm's data ingestion architecture and support advanced AI capabilities.

TAL's take

Quality 75/1005/5 clarityTier 2 company

High-impact VP level data engineering role at a major global bank, offering significant technical ownership in the research and AI division.

The JD provides an extremely clear definition of technical expectations, team context, and strategic importance to the business.

Salaries at Barclays

21.3 LPA average

Based on 128 Grapevine salary entries for Barclays.

View all salaries

Engineering

0 - 2 years | BA4

13 LPA average

Range: 11 - 17 LPA

Engineering

2 - 4 years | Ba4

15 LPA average

Range: 13 - 17 LPA

Engineering

4 - 6 years | AVP

21 LPA average

Range: 14 - 35 LPA

Engineering

6 - 8 years | AVP

17 LPA average

Range: 15 - 23 LPA

Must haves

  • Extensive Python software engineering experience
  • Strong proficiency in OOP language such as Java or C++
  • Deep knowledge of AWS core services
  • Extensive experience with distributed processing engines like Spark
  • Practical experience orchestrating enterprise data workflows

Tools and skills

pythonjavac++awssparkairflowdagsterprefectautosysgreat expectationsdeequ

Nice to have: apache flink, grpc, kubernetes.

About the company

Global multinational bank, tier 2 as it is a traditional financial institution rather than a pure-play tech company.

Posts mentioning Barclays