Data Engineer

RBS; Gurugram District; On-site; INR 450,000 - 750,000; Full time

Job summary

RBS in Gurugram, India, invites an eager Data Engineer at associate level to join our data platforms team. You will design, build and optimize scalable data architectures, perform extractions, transformations and load data to enable analytics and data science across the bank.

You will collaborate with technology and analytics teams to understand data structures, monitor data quality, and apply DevOps practices to data delivery, while keeping data secure and cost-efficient.

Qualifications

• Experience in ETL design and data quality testing.
• Background in data warehousing and modelling.
• Strong programming fundamentals and modern code practices.

Responsibilities

• Build, maintain and optimize scalable data architectures.
• Carry out data extractions, transforms and loading into data platforms.
• Collaborate with technology teams to enable analytics and insights.

Skills

ETL design

Data warehousing

Data modelling

Programming fundamentals

Communication skills

Tools

SQL

Python

Airflow

Job description

Join us as a Data Engineer

• This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences
• You’ll be simplifying the bank by developing innovative data driven solutions, using insight to be commercially successful, and keeping our customers’ and the bank’s data safe and secure
• Participating actively in the data engineering community, you’ll deliver opportunities to support the bank’s strategic direction while building your network across the bank
• We’re offering this role at associate level

What you’ll do

As a Data Engineer, you’ll play a key role in driving value for our customers by building data solutions. You’ll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms.

You’ll also be:

• Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development
• Practicing DevOps adoption in the delivery of data engineering, proactively performing root cause analysis and resolving issues
• Collaborating closely with core technology and architecture teams in the bank to build data knowledge and data solutions
• Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions
• Sourcing new data using the most appropriate tooling and integrating it into the overall solution to deliver for our customers

The skills you’ll need

To be successful in this role, you’ll need a good understanding of data usage and dependencies with wider teams and the end customer, as well as experience of extracting value and features from large scale data.

You’ll also demonstrate:

• Experience of ETL technical design, including data quality testing, cleansing and monitoring, and data warehousing and data modelling capabilities
• Experience of using programming languages alongside knowledge of data and software engineering fundamentals
• Good knowledge of modern code development practices
• Strong communication skills with the ability to proactively engage with a wide range of stakeholders

Hours

45

Job Posting Closing Date:

17/09/2026