AI Jobs Map

JOBSTER PRIVATE LTD. · Singapore

Data Engineer - #1599

full timePosted 2 days ago
Apply on IndeedOpens the original posting. AI Jobs Map never asks for your details.

Stack mentioned

data-engineeringdata-modelingdata-governanceincident-responseetlbusiness-intelligencesqldbtapache-sparkpower-bitableaugrafanaapache-airflowdagsterprefectpythondata-analysis

Data Modelling and Transformation

Design and maintain data models that unify cyber asset information from diverse sources (WOG central systems, agency-specific data sources, vulnerability scanners, CMDBs)

Build and maintain transformation pipelines that clean, normalise, enrich, and relate ingested data into a coherent asset inventory

Establish and enforce data quality standards deduplication, completeness checks, schema validation, and lineage tracking

Evolve the data model as new data sources are onboarded, ensuring backward compatibility 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

Insights and Collaboration

Partner with the Business Analyst to identify patterns and insights within ingested data that support agency engagement

Provide technical input on feasibility and effort when new agency use cases are proposed

Contribute to defining what "good" looks like for asset visibility coverage metrics, quality scores, and completeness indicators

Requirements

Essential

Minimum 3 years of experience in data engineering, analytics engineering, or business 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

Desirable

Experience with cyber asset data CMDBs, vulnerability scanners (Qualys, Tenable, Rapid7), endpoint management platforms, or network discovery tools

Familiarity with attack surface management concepts including asset ownership, exposure scoring, and vulnerability lifecycle

Experience with the Singapore government IT landscape, GCC (Government Commercial Cloud), and WOG shared services

Familiarity with data pipeline orchestration tools (e.g., Airflow, Dagster, Prefect)

Experience with Python for data manipulation and automation

Prior experience in cross-functional teams working alongside infrastructure engineers and business analysts

Competencies

Analytical Rigor: Ability to make sense of complex, heterogeneous data and produce models that are both correct and useful

Outcome Orientation: Focuses on delivering insights that drive agency action, not just technically correct outputs

Collaboration: Effective at working across disciplines partnering with Business Analysts on storytelling and Platform Infrastructure Engineers on data ingestion

Adaptability: Comfortable working with imperfect data from diverse agency environments and iterating toward progressively better coverage and quality

Communication: Able to explain data models, quality trade-offs, and dashboard logic to non-technical stakeholders

Jobster Private Ltd

At Jobster Private Ltd, we connect great people with great opportunities. As a trusted recruitment and manpower outsourcing partner in Singapore, we support hundreds of professionals like you across industries—from IT and engineering to finance, customer service, and beyond.

We’re not just about placements—we’re about partnership. Your career matters to us.

Why Join Us

When you join Jobster, you don’t just get a job—you get a team behind you.

✔ Career Growth Support

We help you build your career with meaningful roles, skill development opportunities, and guidance along the way.

✔ Quality Job Openings

We work with reputable companies offering a wide range of roles in IT, tech support, project management, data analysis, and more.

✔ Competitive Salaries

We advocate for you—negotiating fair, competitive salaries and making sure you’re valued for your skills.

✔ Ongoing Care

From onboarding to payroll, performance feedback to career advice—we’re with you throughout your journey, not just at the start.

✔ Trust & Transparency

Licensed by MOM, certified in data protection, and committed to your success.

More jobs at JOBSTER PRIVATE LTD.

Data Engineer - #1599 at JOBSTER PRIVATE LTD. (Singapore) | AI Jobs Map