Data Engineering Lead, VP
NatWest Group (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, produce, test, and implement scalable data engineering solutions across platform lifecycle applying Agile methodologies.
- Lead and line manage a team of 5 Data Engineers, enforcing best practices including automation, scalability, and performance optimization.
- Collaborate with principal engineers, architects, and stakeholders to align data architecture with business objectives and deliver resilient solutions.
Minimum Requirements
- Experience: Leadership role in data engineering with team management responsibilities.
- Technical skills: Proficiency in relational databases, advanced SQL, Python pipelines, Airflow, dbt, Spark/PySpark, and cloud data solutions (preferably Azure).
- Domain knowledge: Understanding of information security policies and data governance in the financial sector.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Proven ability to lead and deliver data engineering projects using scalable, automated, cloud-based architectures within a financial services environment.
- Strong strategic alignment skills, capable of translating complex technical requirements into pragmatic business solutions.
- Experience working across disciplines including business, applications, data, and infrastructure with senior technical stakeholders and cross-functional teams.