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Open nowPosted 16 days ago

Data Engineer

MyCareersFuture94,028 open roles

Pay
SGD 6,000 – SGD 7,000 a month
Where
Singapore
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Your applicationOpen nowData EngineerMyCareersFuture · Singapore

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 16 days ago

The posting

Requirements

Essential

  • Minimum 3 years of experience in data engineering, analytics engineering, orbusiness intelligence development
  • Strong proficiency in SQL and experience with data transformation frameworks(e.g., dbt, Apache Spark, or equivalent)
  • Hands-on experience building dashboards and visualizations with BI tools (e.g.,Power BI, Tableau, Grafana, Superset, or platform-native tooling)
  • Experience designing data models for operational or analytical use cases star schemas, entity resolution, or graph-based asset relationships Ability to work with messy, heterogeneous data from multiple sources and produce clean, reliable outputs
  • Understanding of data quality practices including validation, deduplication, lineage, and monitoring

Key Responsibilities

  • Data Modelling and Transformation
  • Design and maintain data models that unify cyber asset information from diverse
  • Build and maintain transformation pipelines that clean, normalise, enrich, andrelate ingested data into a coherent asset inventory
  • Establish and enforce data quality standards deduplication, completenesschecks, schema validation, and lineage tracking
  • Evolve the data model as new data sources are onboarded, ensuring backwardcompatibility and minimal disruption to existing dashboards
  • Dashboard and Visualisation Development
  • Build dashboards that address agency-specific use cases including asset visibility,
  • vulnerability prioritisation, patch tracking, and incident response readiness
  • Collaborate with the Business Analyst to develop compelling data narratives
  • selecting the right metrics, views, and drill-downs that connect data to agency decision-making
  • Iterate on dashboard designs based on agency feedback, balancing clarity with analytical depth
  • Maintain and update existing dashboards as underlying data models or agency requirements evolve Platform Data Operations
  • Validate successful data ingestion in coordination with the Platform Infrastructure
  • Engineer confirming completeness, freshness, and schema conformance
  • Monitor data pipeline health, investigate anomalies, and resolve data quality issues
  • Optimise query performance and data refresh schedules to ensure dashboards remain responsive and current Document data models, transformation logic, and dashboard specifications for operational continuity
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