SalaryPeak

Data Engineer (Enterprise Data Platforms)

ES TECH CONSULTANCY PTE. LTD.
Singapore 7+ years Posted Feb 3, 2026

Salary Range

SGD 84,000 - SGD 96,000 /year

SGD 7,000 - SGD 8,000/month

Skills Required

TableauAirflowApache SparkPipelinesAgile MethodologiesAgileData GovernanceEC2SQLCloud ServicesMetadataOrchestrationSchedulingS3ApacheData Visualisation

Job Description

We are seeking a Data Engineer to support the design, development, and operation of enterprise-scale data pipelines and analytics platforms. This role involves working with cloud-based infrastructure, data governance tools, and analytics teams to ensure reliable, high-quality data delivery for business insights.

The successful candidate will be hands-on in data pipeline engineering, SQL development, workflow orchestration, and data governance implementation, operating within an Agile delivery environment.

Key Responsibilities

  • Design, develop, and maintain data pipelines using Apache Spark for large-scale data processing and transformation
  • Develop and optimise SQL queries to support complex data manipulation, analysis, and reporting
  • Manage and utilise AWS services, including Amazon S3 and EC2, for scalable data storage and processing
  • Implement and maintain metadata management and data governance practices using tools such as Collibra
  • Enable interactive querying and analysis using Presto, supporting access across multiple data sources
  • Orchestrate and automate workflows using Apache Airflow, ensuring reliable scheduling and execution
  • Build and maintain data pipelines using Hive SQL on internal data platforms
  • Perform data analysis using Superset with Presto as the backend query engine
  • Develop Tableau dashboards and reports to support data visualisation and business insights
  • Apply Agile methodologies to deliver iterative enhancements aligned with stakeholder requirements

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related discipline
  • Min 7yrs work experience in a Data Engineer role supporting enterprise or large-scale data environments
  • Strong hands-on experience with Apache Spark and SQL
  • Working experience with AWS cloud services, particularly S3 and EC2
  • Experience with workflow orchestration tools such as Apache Airflow
  • Familiarity with Presto, Hive SQL, and distributed query engines
  • Experience with data governance or metadata management tools (e.g. Collibra)
  • Experience developing dashboards using Tableau
  • Ability to work effectively in project-based and Agile environments

Additional Information

  • Employment Type: Contract (1 Year, Renewable)
  • Singaporeans to apply

About ES TECH CONSULTANCY PTE. LTD.