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