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Closing date for applications: 24/08/2026 Location Chennai, India Job typePermanent | Contract typeFull Time #R-00282016 Join our digital revolution in NatWest Digital X In everything we do, we work to one aim. To make digital experiences which are effortless and secure. So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter. Job description This role is based in India and as such all normal working days must be carried out in India. Join us as a Senior Data Engineer Well look to you to drive the build of effortless, digital-first customer experiences as you simplify our bank while keeping our data safe and secure Day-to-day, youll develop innovative, data-driven solutions through data pipeline modelling and ETL design, inspiring to be commercially successful through insights This is your opportunity to explore your leadership potential while bringing a competitive edge to your career profile by solving problems and creating smarter solutions We're offering this role at director level What youll do In this role, youll design, build and maintaining scalable data pipelines and architectures. The ideal candidate will have strong expertise in handling large data sets, optimising data flows, and collaborating closely with data scientists, analysts, and other engineering teams to enable data-driven decision-making. Well look to you to design, develop, and maintain scalable data pipelines and ETL processes to support analytics and reporting requirements, while building and optimizing data architectures including data lakes, data warehouses, and databases. You'll develop and support real-time data streaming applications using Apache Spark Streaming and Apache Flink, perform Spark performance tuning for large-scale data processing, and collaborate closely with data scientists and analysts to deliver clean, reliable, and high-quality datasets. Youll also be responsible for: Driving customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tools to gather and build data solutions Ensureing data quality, integrity, and security across all data platforms. Implementing best practices for data governance and compliance. Monitoring and troubleshooting data pipeline performance and resolve data-related issues proactively. Evaluating and integrating new data technologies and tools to enhance data processing capabilities, with a focus on AI tools and concepts. Collaborating with cross-functional teams to support data-driven initiatives. Mentoring and guiding junior data engineers and team members. The skills youll need Were looking for someone with strong communication skills and the ability to proactively engage and manage a wide range of stakeholders. You'll need at least twelve years of professional experience as a Data Engineer or in a similar role, with strong expertise in Apache Spark including Spark Streaming and performance optimization, Scala, Python, and Apache Flink for real-time data processing. You'need expertise in AI concepts and tools within data engineering workflows, build high-performance data APIs using FastAPI, and working extensively with AWS services such as EMR, Kinesis, DynamoDB, Athena, and QuickSight. You'll need hands-on experience with data lake technologies and formats including Parquet and Apache Iceberg, containerization platforms such as Docker and Podman, and relational databases including PostgreSQL and Hive, supported by strong SQL skills. You'll also contribute to machine learning pipeline integration, ensure compliance with GDPR and other data privacy regulations, and hold a Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field. Youll also need: Expertise in ETL tools and frameworks and data pipeline orchestration. Strong understanding of cloud data platforms and services. Knowledge of data modelling, schema design, and data architecture principles. Familiarity with data security standards and compliance requirements. Experience with DevOps, CI/CD pipelines, and container orchestration like Kubernetes An understanding of modern code development practices Welcome to our Chennai hub Nestled in the heart of One India Bulls Park, our hub in Kosmo One, Tower A, is one of Ambatturs first skyscraper spanning 420,000 sq. ft. Key facts: Surrounded by 10 acres Space for 3,600 colleagues Opened in 2009 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.