LSEG Data Engineering Job Alerts 2026 :-
LSEG is hiring candidates for the role of Data Engineer (Python/AWS/SQL) for the Bangalore, India locations. The complete details about LSEG Data Engineering Job Alerts 2026 are as follows.
| Company Name:- | LSEG [London Stock Exchange Group] |
| Required Education: | Any Graduate |
| Required Skills: | Scala, Java, C++, Go, or Rust used for performance-sensitive or high-throughput software. Apache Iceberg, Delta Lake, similar open table formats, or lakehouse architecture. Databricks, Snowflake, or comparable data platforms. CI/CD tooling such as GitLab CI, Jenkins, or GitHub Actions. |
| Job category | Software Engineering |
| Job ID | R0123140 |
Qualifications
Essential – this is the bar:
- A track record of building and shipping production applications, services, or libraries that other people depended on and that you maintained and evolved over time.
- Strong production Python, or equivalent depth in Java, C#, C, C++, Scala, Go, or Rust, together with genuine motivation to become fluent in Python.
- The ability to write clean, maintainable, testable, and extensible code. In Python, this includes type hints, ruff, mypy, black, and a strong pytest habit, or equivalent discipline in your current language.
- Strong software engineering fundamentals, including modular design, sensible abstractions, dependency management, packaging, error handling, and judgement about when not to add another layer.
- A hands-on mindset and a desire to remain close to the code.
- Practical experience with Git-based workflows, code review, and CI/CD.
- Strong relational database experience, ideally Aurora PostgreSQL, including schema design, query writing, and understanding database behaviour under the hood.
- Working knowledge of a cloud platform, ideally AWS, including S3, Lambda, containers, and IAM fundamentals.
- Comfort with data-shaped problems such as batch processing, ETL, and schema evolution, or a strong willingness to learn.
- An interest in business context and close stakeholder partnership.
- Experience working collaboratively in Agile teams.
Nice to Haves
Helpful experience, but not a requirement:
- Apache Spark, PySpark, or other large-scale distributed processing technologies.
- Big-data workloads and datasets that do not fit on one machine.
- Scala, Java, C++, Go, or Rust used for performance-sensitive or high-throughput software.
- Apache Iceberg, Delta Lake, similar open table formats, or lakehouse architecture.
- Databricks, Snowflake, or comparable data platforms.
- CI/CD tooling such as GitLab CI, Jenkins, or GitHub Actions.
- Infrastructure as code using Terraform or AWS CDK.
- Data quality frameworks such as Great Expectations or Deequ.
- Curiosity about financial markets, index data, or investment analytics.
- Experience in investment banking, asset or portfolio management, or a product-led company.
Skills Required
What You’ll Do (When You Join Us)
- As a Python Software Engineer, you will help build our next-generation index data platform and take ownership from problem definition through production support.
Design & Build
- Write production code, primarily in Python, across services, APIs, libraries, and command-line tools that are modular, well tested, and maintainable.
- Design and build software components end to end, from breaking down a problem through deployment and support in production.
- Create data models and integrations across Aurora PostgreSQL and object storage, with careful attention to schema design, evolution, and backwards compatibility.
- Build software that processes data at scale on AWS using services such as Lambda, S3, containerised services, Glue, and EMR Serverless where appropriate.
Engineer for Quality
- Apply modern engineering practices including version control, trunk-based development, CI/CD, code review, refactoring, and automated unit, integration, and contract testing.
- Build observability in from the start through structured logging, metrics, tracing, and meaningful alerting.
- Debug your own problems, fix them properly, and take responsibility for the quality and reliability of what you deliver.
Collaborate & Contribute
- Contribute to design and architecture discussions and help evolve shared engineering standards.
- Work directly with product and business teams to turn requirements into working software.
- Review code, pair when useful, share knowledge, and learn the financial indices domain.
LSEG Data Engineering Job Alerts 2026 Application Process:-
Apply In Below Link
Apply Link:- Click Here To Apply (Apply before the link expires)
Note:– Only shortlisted candidates will receive the call letter for further rounds
