Data Engineer
natwest digital india private formerly known as rbs india private
📍 bengaluru chennai india🕐 23d ago🔗 workday
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
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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
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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:
* Strong expertise in Python, PySpark, and Falcon Framework to build scalable data pipelines, process large-scale datasets, and develop high-performance RESTful APIs
* At least five years of experience in ETL, data modelling, data warehousing, and integrating data from multiple sources, with a focus on performance optimisation, reliability, data quality, security, and governance
* Proficiency in Agile/Scrum, Git, and cloud platforms such as AWS, Azure, GCP, with excellent problem-solving, collaboration, and communication skills
* 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:**
21/08/2026