Data Engineering Lead

NatWest Group; Bengaluru; Vor Ort; INR 4.000.000 - 7.000.000; Vollzeit

Zusammenfassung

NatWest Group in Bengaluru is seeking a Data Engineering Lead at VP level to design, build, test, and implement data engineering solutions across the system lifecycle. You will lead a team of five engineers and collaborate with principal engineers and architects to align data initiatives with business objectives.

The role demands strong data engineering design, cloud-based solutions (Azure), and proficiency with Spark, PySpark, SQL, and dbt.

Qualifikationen

• Bachelor-level degree or higher is preferred (not explicitly stated).
• Experience leading data engineering teams and projects.
• Proven ability to design and implement scalable data platforms.

Aufgaben

• Develop data engineering solutions across the platform lifecycle.
• Lead and manage a team of Data Engineers (5) aligned to best practices.
• Collaborate with principal engineers and architects to understand platform requirements and impact.
• Apply Agile methods to the development backlog and deliver robust, scalable solutions.
• Automate build, test, and deployment activities to improve delivery velocity.

Kenntnisse

Full stack data engineering

Leadership

Relational databases

Advanced SQL

Data modelling

Database optimisation

Python pipelines

Airflow

dbt transformation

Azure

Spark

PySpark

Automation

Communication skills

Stakeholder management

Tools

Azure

Spark

Airflow

dbt

Python

SQL

Jobbeschreibung

Data Engineering Lead, VP

Join us as a Software Engineer This is an opportunity for a technically minded individual to join us as a Data Engineering Lead You’ll be designing, producing, testing and implementing data engineering solutions, working across the lifecycle of the system Hone your existing data engineering skills and advance your career in this critical role We're offering this role at vice president level

What you'll do

Working in a permanent feature team, you’ll be developing knowledge of aspects of the associated platform across the disciplines of business, applications, data and infrastructure. You’ll also be liaising with principal engineers, architects in the domain and other key stakeholders to understand how the platform works and how it supports business objectives.

• Applying Agile methods to the development of data engineering solutions on the backlog
• Producing resilient and long-lived solutions and acting flexibly to cope with future needs
• Delivering intentional architecture and formulating emergent design through innovative ideas, experimentation and prototyping
• Designing and developing solutions with a focus on the automation of build, test and deployment activities, using executable patterns
• Leading and line managing a team of 5 Data Engineers aligning to data engineering best practices

The skills you'll need

We’re looking for someone with strong full stack experience in data engineering design and implementation, including being able to exploit programming languages to solve complex problems. You’ll also need to be capable of complex requirements analysis capture and validation against and with business and systems requirements, coupled with leadership and people management skills.

Additionally, you’ll demonstrate:

• Experience of leading the implementation of best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance
• Strong proficiency in relational databases, advanced SQL, and robust data modelling, database optimisation, Python pipelines, Airflow orchestration, and dbt transformation
• Experience designing, building, and operating cloud-based data solutions (Azure preferred)
• Extensive experience working with scalable batch and streaming architectures using distributed data processing frameworks such as Spark and PySpark
• Sound collaboration skills with the ability to work with business and data teams to produce pragmatic solutions that work for the business
• Experience of information security policies and data governance practices within the financial sector
• Strong stakeholder management skills and communication skills with the ability to communicate complex technical concepts in a simple way
• Experience of leading and line managing data engineers

Hours 45

Job Posting Closing Date: 29/10/2026

Experience Level Executive Level