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Data Platform Engineer

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Onsite

Data Platform Engineer

ASTEK SINGAPORE INNOVATION TECHNOLOGY PTE. LTD.

Data Platform Engineer

Skills

Data EngineeringPythonSnowflakeDatabricksDatadogData AnalysisAWSGitHubKubernetesApache Airflow

24 days ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

26 September 2026

What they need


Role Overview

We are looking for an experienced

Data Platform Engineer

to support the development and operations of

Data Warehouse

. The role will focus on building and maintaining scalable data pipelines, ETL/ELT workflows, data platforms, and analytics engineering solutions, while providing ongoing production and application support.

Key Responsibilities

Develop and maintain

data pipelines, ETL/ELT processes, and analytics engineering workflows

to support advanced data search and retrieval.

Collaborate with data and engineering teams to understand requirements and automate

deployment, monitoring, and operational processes

.

Optimise data storage, processing, and query performance while troubleshooting technical issues.

Coordinate with data engineers and stakeholders to support

sprint planning and timely delivery

.

Perform

BAU monitoring, investigation, troubleshooting, and incident resolution

.

Support

data governance and data management

initiatives.

Provide day-to-day

production and application support

, ensuring platform stability and reliability.

Develop and maintain

unit and integration tests

to ensure data and application quality.

Requirements

Degree in

Computer Science, Information Technology

, or a related discipline.

At least

5 years of hands-on Software Engineering or Data Engineering experience

.

Strong programming experience in

Python and ETL

Strong experience with

unit and integration testing

.

Experience with

AWS and Kubernetes (K8s)

.

Familiarity with modern data platforms and technologies such as

Snowflake, Databricks, Apache Spark, Apache Hive, Delta Lake, Apache Iceberg, and vector databases

.

Experience with workflow/orchestration technologies such as

Apache Airflow, Dagster, Prefect, or Temporal

.

Familiarity with

GitHub workflows, Datadog, DevOps practices, and Agile methodologies

.

Good analytical, troubleshooting, communication, and collaboration skills.

Key Technologies

Python | AWS | Kubernetes | Snowflake | Databricks | Apache Spark | Apache Hive | Delta Lake | Apache Iceberg | Vector Databases | Airflow | Dagster | Prefect | Temporal | GitHub | Datadog | ETL/ELT

Astek has been providing IT and engineering solutions for some of the world’s largest industrial and services groups for over 25 years.

We support our clients with the creation and development of their new products in four main areas of expertise:

  • Information technology and systems (IT & IS);
  • Industrial engineering and product development;
  • Internet of Things (IoT);
  • Digital, web and mobile solutions.

Our Group is operating for 30 years and Astek is a community of 2,500 passionate experts who empower our clients in over 14 countries throughout Europe, APAC, the Middle East and the Americas.

Some of our clients include BNP Paribas, CA-CIB, Societe Generale, Amadeus, Air France, Alstom, Airbus, Thales, Safran, Faurecia, Valeo, Renault, Jaguar, PSA, BMW, Daimler, Schneider Electric, Areva, ENGIE, Veolia, Total…

Our team is dedicated to offering our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values.

We’re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact.

To join our community!

www.asteksingapore.com

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