Manager, Data Engineering
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
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.
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
Nice to have: kafka, kinesis.
About the company
Global international bank with significant engineering operations in India, classified as a tier 2 organization.
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