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D01 Marina, Raffles Place, People's Park, Cecil, Singapore
ContractInformation Technology

Job Description

Keyrus is looking for a Data Engineer to join an exciting data-driven environment where you'll help build scalable data platforms, enable real-time business insights, and drive data quality across the organization.

Responsibilities
Data Engineering & Integration

  • Design and implement data pipelines to extract, transform, and load data from various sources to enable real-time visibility and decision-making
  • Optimise data models to support efficient reporting and analysis
  • Integrate data from various sources, including structured and unstructured data
  • Automate data cleansing and validation processes to improve overall data quality  

Cloud Infrastructure and Deployment

  • Assist in design of cloud architecture for data storage and processing
  • Implement authentication, authorization, and API security best practices in accessing the data

Data Analysis & Reporting

  • Collaborate with business functions to define reporting and visualisation requirements
  • Work with business functions to ensure data accuracy and consistency
  • Perform root cause analysis of data discrepancies and recommend corrective actions

Data Governance & Quality

  • Establish data standards, governance frameworks, and best practices for data management
  • Identify data quality issues and implement solutions to enhance reliability
  • Support audits and compliance activities by providing accurate datasets and reports

Requirements

  • At least 2 years of experience in data engineering or related roles
  • Good understanding of database concepts and data modelling principles
  • Hands-on experience with ETL processes and data pipeline tools (e.g. Google Cloud Dataflow, Apache Kafka, AWS Glue)
  • Familiarity with cloud platforms such as AWS and GCP, and services including S3, Redshift, BigQuery, or Snowflake
  • Proficient in programming with Python, SQL, Scala, or Java
  • Understanding of data warehouse design and data lake architecture
  • Experience with APIs, data integration methods, and data visualization tools like Tableau, Power BI, or Google Looker Studio
  • Knowledge of data security and governance best practices

About Keyrus Singapore Pte. Ltd.

First seen: May 29, 2026
Last updated: May 29, 2026