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

Assurity Trusted Solutions Pte Ltd

Santo Niño 1st

On-site

PHP 600,000 - 1,000,000

Full time

6 days ago
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Benefits offered by this job

GovTech affiliation
Annual training budget
Performance bonus

Job summary

Assurity Trusted Solutions is seeking a Data Engineer to design, build, and optimize scalable data pipelines powering business insights and GenAI use cases. You will work with Databricks on AWS, model data for BI tools like Tableau, and collaborate with data scientists to operationalize GenAI workflows.

The role requires 3+ years in data engineering, strong PySpark/SQL, AWS, and Python with source control. You will contribute to data security and governance while driving scalable engineering

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 GenAI or LLM applications—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.
  • Collaborate 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

Data engineering
ETL/ELT
Data modeling
Python
Git
API design
Airflow
dbt
CI/CD
GenAI/LLM familiarity
Tableau
Problem-solving
Communication
Documentation

Tools

Databricks
Spark
PySpark/SQL
AWS
Tableau
Airflow
dbt
Git
CI/CD

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 aData Engineerto support the design, development, and deployment of data pipelines powering business insights and emerging AI use cases. This role will focus onbuilding scalable data workflows, optimizing data models for analytics, and supporting the integration ofGenerative 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 robustETL/ELT pipelinesusing Databricks (PySpark, SQL) on AWS-based data platforms.
  • Develop and optimizedata models and tablesto support BI tools such as Tableau and internal reporting use cases.
  • Work with data scientists and AI engineers tooperationalize GenAI models, including orchestrating data dependencies, prompt stores, and inference pipelines.
  • Implementmonitoring, version control, and quality standardsacross ETL workflows and data schemas.
  • Collaborate with business teams to translate data requirements into scalable engineering solutions.
  • Ensuredata security and compliancewith organizational and regional guidelines.
Requirements
  • 3+ years of experience indata engineeringor a similar technical role.
  • Strong experience withDatabricks,Spark (PySpark/SQL), andAWS services(S3, Glue, Lambda, Redshift, Athena).
  • Solid understanding ofdata warehouse design, data modeling, and performance tuning.
  • Hands-on experience withTableauor other BI/reporting tools.
  • Familiarity withML, GenAI or LLM applications— such as deploying models via API, integrating embedding stores, or managing text/chat pipelines.
  • Proficient inPythonand strong understanding of version control (Git).
  • Knowledge ofAPI 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.

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
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