- 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.
- Design and develop scalable Python backend services supporting data systems and workflows.
Overview
We are hiring a Data Engineer 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 ideal for engineers who enjoy building production-grade data solutions, solving operational challenges, and working with modern data technologies in an enterprise environment.
As a Data Engineer, you will focus on designing, developing, and supporting data ingestion pipelines and backend data services that power enterprise data platforms. The role combines hands-on Python engineering, data platform development, and production support responsibilities.
What You’ll Do
- 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.
- Design and develop scalable Python backend services supporting data systems and workflows.
- Support BAU operations, including monitoring, troubleshooting, maintenance, and issue resolution for production workloads.
- Build enhancements to existing data engineering solutions and contribute to platform improvements.
- Collaborate with Infrastructure, Database, Network, and Data Steward teams to ensure reliable delivery of data services.
- Support testing, deployment activities, and operational stability across monthly and quarterly releases.
- Participate in occasional after-hours support for critical production incidents when required.
Must‑Have Experience
- Strong hands‑on experience with Python for data engineering and pipeline development.
- Strong foundation in Python backend engineering.
- Proficiency with Snowflake, including data ingestion, querying, schema management, and data warehouse operations.
- Strong SQL skills and experience working with large‑scale datasets.
- Working knowledge of Databricks (basic to intermediate level).
- Experience supporting production data platforms and troubleshooting operational issues.
- Ability to work independently and contribute with minimal supervision.
- Strong communication and stakeholder management skills.
Nice-to-Have Experience
- Experience working with REST APIs and external data integrations.
- Exposure to Java or Java-based integration services.
- Experience within financial services or other regulated industries.
- Exposure to modern data architectures 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 data platform modernisation initiatives aligned with future AI capabilities.
- Develop expertise in complex external data ingestion and enterprise-scale data operations.
- Make an immediate impact within a highly visible, production-critical environment.
We regret to inform that only shortlisted candidates will be notified.
EA registration number : WONG LIN, RACHEL , R25158204
Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA Licence No. 10C4544