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LSEG

Lead AWS Software Data Engineer

LSEG · Bengaluru, Karnataka, India

  • On site
  • Full-time
  • $140,000 / year
  • Bengaluru, Karnataka, India

Job highlights

  • Build next-gen data platform at FTSE Russell.
  • Design scalable Python/Spark data pipelines.
  • Utilize AWS data services like Glue, EMR.
  • Develop lakehouse architecture with Apache Iceberg.
  • Collaborate with business for data solutions.

About the role

About Us:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

Our People:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organization spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers!

Role Summary:

Ready to build scalable data systems with real-world impact?

Join us at FTSE Russell! We’re establishing a team of engineers passionate about data, software craftsmanship, and substantial impact. As a Lead Software Data Engineer, you’ll help power the indices trusted by financial institutions worldwide. You’ll work in a modern AWS environment, build robust pipelines, and collaborate closely with product and business teams to deliver reliable, high-quality data solutions. We care about code quality, ownership, and helping each other grow. If you’re excited about building systems that matter, we’d love to meet you!

What You'll Be Doing:

We are building the next-generation data platform at FTSE Russell — and we want you to shape it with us. Your role will involve:

  • Designing and developing scalable, testable data pipelines using Python and Apache Spark
  • Orchestrating data workflows with AWS tools like Glue, EMR Serverless, Lambda, and S3
  • Applying modern software engineering practices: version control, CI/CD, modular design, and automated testing
  • Contributing to the development of a lakehouse architecture using Apache Iceberg
  • Collaborating with business teams to translate requirements into data-driven solutions
  • Building observability into data flows and implementing basic quality checks
  • Participating in code reviews, pair programming, and architecture discussions
  • Continuously learning about the financial indices domain and sharing insights with the team

What You'll Bring:

  • Writes clean, maintainable, testable, extensible Python code (ideally with type hints, linters, and tests like pytest)
  • Understands data engineering basics: batch processing, schema evolution, and building ETL pipelines
  • Has experience with or is eager to learn Apache Spark for large-scale data processing
  • Is familiar with the AWS data stack (e.g. S3, Glue, Lambda, EMR)
  • Strong experience in relational databases (e.g. Aurora PostgreSQL)
  • Enjoys learning the business context and working closely with stakeholders
  • Works well in Agile teams and values collaboration over solo heroics

Nice to Haves:

It’s great (but not required) if you also bring:

  • Experience with Apache Iceberg or similar table formats
  • Familiarity with CI/CD tools like GitLab CI, Jenkins, or GitHub Actions
  • Exposure to data quality frameworks like Great Expectations or Deequ
  • Experience with other data platforms like Databricks, etc.
  • Curiosity about financial markets, index data, or investment analytics

About LSEG:

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organization of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business, and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Key skills/competency

  • AWS
  • Python
  • Apache Spark
  • Data Pipelines
  • ETL
  • Lakehouse Architecture
  • Software Engineering
  • CI/CD
  • Relational Databases
  • Agile

Skills & topics

  • AWS
  • Python
  • Apache Spark
  • Data Engineering
  • ETL
  • Software Engineering
  • Data Pipelines
  • Lakehouse
  • Cloud
  • Agile

How to get hired

  • Tailor your resume: Highlight Python, AWS, Spark, and ETL experience relevant to LSEG's data engineering needs.
  • Showcase project impact: Quantify achievements in data pipeline development and scalable system design.
  • Emphasize collaboration: Detail experience working in Agile teams and with business stakeholders.
  • Prepare for technical questions: Be ready to discuss AWS services, Spark, data modeling, and software engineering best practices.
  • Research LSEG's values: Align your application and interview responses with their focus on Integrity, Partnership, Excellence, and Change.

Technical preparation

Master Python for data manipulation.,Deepen AWS data services knowledge.,Practice Apache Spark for big data.,Build sample data pipelines on AWS.

Behavioral questions

Describe a complex data challenge overcome.,How do you ensure data quality?,Discuss collaborating with non-technical teams.,How do you handle conflicting priorities?

Frequently asked questions

What are the key responsibilities for a Lead AWS Software Data Engineer at LSEG?
As a Lead AWS Software Data Engineer at LSEG, you will design and develop scalable data pipelines using Python and Apache Spark, orchestrate workflows with AWS tools, apply modern software engineering practices, contribute to a lakehouse architecture, and collaborate with business teams. You'll also participate in code reviews and architecture discussions, focusing on building reliable, high-quality data solutions for FTSE Russell.
What technical skills are essential for this Lead Software Data Engineer role at LSEG?
Essential technical skills include strong Python coding abilities, understanding of data engineering basics like batch processing and ETL, experience with Apache Spark, familiarity with AWS data services (S3, Glue, Lambda, EMR), and experience with relational databases like Aurora PostgreSQL. Proficiency in software engineering practices like version control and automated testing is also crucial.
Does LSEG offer opportunities for professional growth for a Lead Software Data Engineer?
Yes, LSEG emphasizes personal and professional growth, encouraging diverse career paths and opportunities to deepen skills. As a global organization with a culture of growth, opportunity, diversity, and innovation, LSEG provides a platform for meaningful careers and continuous learning, including within the financial indices domain.
What is the work environment like for a Lead AWS Software Data Engineer at LSEG?
The role is within the FTSE Russell team at LSEG, focusing on building a next-generation data platform. The environment is described as collaborative, modern (AWS), and values software craftsmanship, code quality, ownership, and helping each other grow. You will work in an Agile setting, participating in code reviews and architecture discussions.
How does LSEG approach diversity and inclusion for Lead Software Data Engineer positions?
LSEG actively embraces diversity and inclusion, seeking individuals with unique backgrounds and perspectives. They strive to build an inclusive culture where everyone feels encouraged to fulfill their potential, breaking down barriers and promoting teamwork. They are an equal opportunities employer and do not discriminate based on various protected characteristics.
What are the 'Nice to Haves' for the Lead Software Data Engineer role at LSEG?
Nice-to-have skills include experience with Apache Iceberg, familiarity with CI/CD tools (GitLab CI, Jenkins, GitHub Actions), exposure to data quality frameworks (Great Expectations, Deequ), experience with other data platforms like Databricks, and curiosity about financial markets or index data.
How can I best prepare my resume for the Lead AWS Software Data Engineer role at LSEG?
To best prepare your resume for the Lead AWS Software Data Engineer role at LSEG, emphasize your experience with Python, AWS services, Apache Spark, and building scalable data pipelines. Highlight your understanding of data engineering principles, software engineering practices, and any experience with lakehouse architectures or ETL processes. Quantify your achievements where possible.