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Manager, Data Engineering

Standard CharteredBengaluru, Karnataka, IndiaPosted 20 May 2026

Standard Chartered is seeking a Data Engineering Manager to design and maintain scalable data infrastructure for their global banking operations. The role involves leading cross-functional squads to deliver robust ETL/ELT pipelines, data architectures, and data-driven solutions while ensuring compliance and quality. Candidates require extensive experience in Python, Java, SQL, and cloud platforms, alongside a proven track record in technical leadership and people management. The position acts as a key technical escalation point and strategic partner for data platform modernization initiatives.

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Experience

10+ years

Function

Engineering

Work mode

Hybrid, India

Company

Tier 2

What you will work on

Standard Chartered is seeking a Data Engineering Manager to design and maintain scalable data infrastructure for their global banking operations. The role involves leading cross-functional squads to deliver robust ETL/ELT pipelines, data architectures, and data-driven solutions while ensuring compliance and quality. Candidates require extensive experience in Python, Java, SQL, and cloud platforms, alongside a proven track record in technical leadership and people management. The position acts as a key technical escalation point and strategic partner for data platform modernization initiatives.

TAL's take

Quality 65/1005/5 clarityTier 2 company

Solid tier-2 global bank with clearly defined leadership responsibilities in data infrastructure at scale.

Very clear and structured job description outlining technical, strategic, and people management responsibilities.

Salaries at Standard Chartered

22.6 LPA average

Based on 90 Grapevine salary entries for Standard Chartered.

View all salaries

Engineering

0 - 2 years | 8A

12 LPA average

Range: 7 - 17 LPA

Engineering

2 - 4 years | 8A

14 LPA average

Range: 11 - 20 LPA

Engineering

4 - 6 years | L7

20 LPA average

Range: 11 - 35 LPA

Engineering

10 - 12 years | 8A

48 LPA average

Range: 48 - 48 LPA

Must haves

  • 10+ years engineering experience in data-driven applications
  • 2+ years as a people manager
  • Proficiency in Python, Java, and SQL
  • Experience with cloud data platforms like AWS, Azure, or GCP
  • Strong knowledge of ETL/ELT, data modeling, and warehousing
  • Experience with data pipeline orchestration tools

Tools and skills

pythonjavasqletl/eltdata modelingdata warehousingawsazuregcpairflowgitci/cd

Nice to have: kafka, kinesis.

About the company

Global international bank with significant engineering operations in India, classified as a tier 2 organization.

Posts mentioning Standard Chartered