Senior Data Engineer, Director

Royal Bank of Scotland; Gurugram District; On-site; INR 700,000 - 1,100,000; Full time

Job summary

Royal Bank of Scotland in India is hiring a Senior Data Engineer to design and maintain scalable data pipelines and architectures, including data lakes and warehouses, with a strong emphasis on data quality and security. You will collaborate with data scientists and analysts to enable data-driven decision making.

The role requires expertise in Spark Streaming, Flink, Scala, Python, and AWS services, and includes mentoring junior engineers while aligning with GDPR and security standards.

Qualifications

• Twelve years of professional experience as a Data Engineer or similar role.
• Strong expertise in Apache Spark, Spark Streaming and performance optimization.
• Proficient in Scala and Python; real-time data processing with Flink.
• Experience with AI concepts/tools in data engineering workflows.
• Build high-performance data APIs using FastAPI; extensive AWS service use.

Responsibilities

• Design, build, and maintain scalable data pipelines and architectures.
• Develop data lakes, data warehouses, and databases to support analytics.
• Implement real-time data streaming using Spark Streaming and Flink.
• Mentor junior data engineers and collaborate with data scientists.
• Ensure data quality, security, and GDPR compliance.
• Evaluate new data technologies to enhance processing capabilities.

Skills

communication skills

APIs

Apache Spark

Spark Streaming

Apache Flink

Scala

Python

AI concepts

FastAPI

AWS

EMR

Kinesis

DynamoDB

Athena

QuickSight

Parquet

Apache Iceberg

Docker

Podman

Kubernetes

SQL

PostgreSQL

Hive

GDPR compliance

machine learning pipelines

Education

Bachelor's or Master's in CS/Engineering/IS

Tools

Apache Spark

Apache Flink

Docker

Podman

Kubernetes

FastAPI

AWS EMR

AWS Kinesis

DynamoDB

Athena

QuickSight

Parquet

Apache Iceberg

PostgreSQL

Hive

Job description

Join us as a Senior Data Engineer

We'll 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, you'll 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 you'll do

In this role, you'll 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.

We'll 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.

You’ll 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
• Ensuring 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 you'll need

We're 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.

You’ll 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

Hours

45

Job Posting Closing Date

24/08/2026