Data Engineer (Data Ingestion & Platforms)

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

#J-18808-Ljbffr