Data Engineer (Familiar with LLM, ML or GenAI apps)

re-zoo-me; Singapore; On-site; SGD 90,000 - 135,000; Full time

Benefits offered by this job

GovTech entity benefits

Annual training budget and performance

Permanent employee benefits for staff

Job summary

Assurity Trusted Solutions is seeking a Data Engineer to design, build, and deploy scalable data pipelines powering business insights and GenAI use cases. The role emphasizes Databricks, PySpark/SQL, AWS, and BI tooling like Tableau.

You will collaborate with data scientists, ensure data security, and translate data requirements into scalable engineering solutions while adhering to governance standards.

Qualifications

• 3+ years of experience in data engineering or a similar technical role.
• Strong experience with Databricks, Spark (PySpark/SQL), and AWS services (S3, Glue, Lambda, Redshift, Athena).
• Solid understanding of data warehouse design, data modeling, and performance tuning.
• Hands-on experience with Tableau or other BI/reporting tools.
• Familiarity with ML, GenAI or LLM applications — such as deploying models via API, integrating embedding stores, or managing text/chat pipelines.
• Proficient in Python and strong understanding of version control (Git).
• Knowledge of API design, data orchestration (Airflow, dbt), and CI/CD practices.
• Excellent problem-solving, communication, and documentation skills.

Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines using Databricks (PySpark, SQL) on AWS-based data platforms.
• Develop and optimize data models and tables to support BI tools such as Tableau and internal reporting use cases.
• Work with data scientists and AI engineers to operationalize GenAI models, including orchestrating data dependencies, prompt stores, and inference pipelines.
• Implement monitoring, version control, and quality standards across ETL workflows and data schemas.
• Collaborate with business teams to translate data requirements into scalable engineering solutions.
• Ensure data security and compliance with organizational and regional guidelines.

Skills

Python

Git

Airflow

dbt

Airflow

Databricks

Spark (PySpark/SQL)

Tableau

GenAI

Tools

Databricks

Spark (PySpark/SQL)

AWS (S3, Glue, Lambda, Redshift, Athena)

Tableau

Job description

Assurity Trusted Solutions (ATS) is a wholly owned subsidiary of the Government Technology Agency (GovTech). As a Trusted Partner over the last decade, ATS offers a comprehensive suite of products and services ranging from infrastructure and operational services, governance and assurance services as well as managed processes. In a dynamic digital and cyber landscape, where trust & collaboration are key, ATS continues to drive mutually beneficial business outcomes through collaboration with GovTech, government agencies and commercial partners to mitigate cyber risks and bolster security postures.

We are looking for a Data Engineer to support the design, development, and deployment of data pipelines powering business insights and emerging AI use cases. This role will focus on building scalable data workflows, optimizing data models for analytics, and supporting the integration of Generative AI (GenAI) applications within production environments.

Selected individual will join us as a direct employee till 30 November 2028 (subjected to extension).

Key Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines using Databricks (PySpark, SQL) on AWS-based data platforms
• Develop and optimize data models and tables to support BI tools such as Tableau and internal reporting use cases
• Work with data scientists and AI engineers to operationalize GenAI models, including orchestrating data dependencies, prompt stores, and inference pipelines
• Implement monitoring, version control, and quality standards across ETL workflows and data schemas
• Collaborate with business teams to translate data requirements into scalable engineering solutions
• Ensure data security and compliance with organizational and regional guidelines

Requirements

• 3+ years of experience in data engineering or a similar technical role
• Strong experience with Databricks, Spark (PySpark/SQL), and AWS services (S3, Glue, Lambda, Redshift, Athena)
• Solid understanding of data warehouse design, data modeling, and performance tuning
• Hands-on experience with Tableau or other BI/reporting tools
• Familiarity with ML, GenAI or LLM applications — such as deploying models via API, integrating embedding stores, or managing text/chat pipelines
• Proficient in Python and strong understanding of version control (Git)
• Knowledge of API design, data orchestration (Airflow, dbt), and CI/CD practices
• Excellent problem-solving, communication, and documentation skills

Join us and discover a meaningful and exciting career with Assurity Trusted Solutions!

The remuneration package will commensurate with your qualifications and experience.

We thank you for your interest and please note that only shortlisted candidates will be notified.

By submitting your application, you agree that your personal data may be collected, used and disclosed by Assurity Trusted Solutions Pte. Ltd. (ATS), GovTech and their service providers and agents in accordance with ATS's privacy statement which can be found at: or such other successor site.

Benefits

• A wholly-owned subsidiary of GovTech
• An attractive yearly training budget with annual performance bonus
• Contract Staff enjoys the same benefits as Permanent Employees