ALLEGIS GROUP SINGAPORE PRIVATE LIMITED

Discussion

Data Engineer

Open 21d

About the Role

We are seeking a Software Developer to join a high-performing enterprise data team responsible for delivering and supporting critical data ingestion capabilities across a large-scale data platform. This role is pivotal in re-architecting legacy data pipelines into modern, scalable systems and building robust backend services that support investment decision-making at scale.

This role is ideal for engineers who take pride in clean, well-tested code, and want to play a part in large-scale data transformation.

Responsibilities

  • Design and develop scalable Python backend services for data systems.
  • Build and maintain clean, modular, and test-driven code (unit and integration tests using TDD).
  • Design, develop, maintain, and enhance data ingestion pipelines supporting ongoing operational requirements.
  • Ingest and process data from external providers and internal sources into enterprise data platforms.
  • Support BAU operations, including monitoring, troubleshooting, maintenance, and issue resolution for production workloads.
  • Build enhancements to existing data engineering solutions and contribute to continuous platform improvements.
  • Transform legacy data pipelines into modern, maintainable architectures.
  • Collaborate closely with data engineers, backend engineers, and devops engineers for smooth deployments.
  • Ensure high code quality, readability, and maintainability following best practices.
  • Participate in code reviews, technical discussions, and agile ceremonies.

Must-Have Skills:

  • 5+ years of experience in backend software engineering, primarily using Python.
  • Strong Python backend development experience.
  • Solid SQL skills and experience working with large-scale datasets.
  • Proficiency in writing unit and integration tests using TDD principles.
  • Experience with Python package management tools (Poetry, Conda, UV, Pip).
  • Experience supporting production data platforms and troubleshooting operational issues.

Tech Stack & Tools

  • Languages: Python (required), SQL (required)
  • Database: Snowflake, Databricks
  • DevOps: Kubernetes, Docker, CI/CD
  • Testing: PyTest, TDD practices

Nice-to-Have Skills:

  • Familiarity with Snowflake.
  • Working knowledge of Databricks (basic to intermediate level).
  • AWS cloud experience.
  • Kubernetes, Docker, and CI/CD pipelines
  • Financial services or regulated industry experience.
  • Exposure to modern data architecture and cloud-based data platforms.

Why Join?

  • Work on large-scale, business-critical data platforms used across the organisation.
  • Gain exposure to modern technologies including Snowflake and Databricks.
  • Participate in platform modernisation initiatives aligned to the organisation's future AI roadmap.
  • Develop expertise in complex external data ingestion and enterprise-scale data operations.
  • Opportunity to make an immediate impact within a high-visibility, production-critical environment.

We regret to inform that only shortlisted candidates will be notified

EA Registration No: R25158204, Wong Lin, Rachel

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA Licence No. 10C4544

Show