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 -------------- 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: * 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