Digital Services & Technology Office

SENIORDATAENGINEER-DIGITALSERVICES&TECHNOLOGYOFFICE

Singapore FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“SENIOR DATA ENGINEER - DIGITAL SERVICES & TECHNOLOGY OFFICE at Digital Services & Technology Office. Skills: Data ingestion pipelines, Data transformation workflows, Databricks, Delta Lake. Design data ingestion pipelines. Build data ingestion pipelines”

Industry & Context.

Problems you'll solve

Problem-solver

Eligibility Requirements

2-year contract position

What They're Looking For.

Must Have

Degree in Computer Science, Information Systems, Engineering, 2–4 years of experience in data engineering

Nice to Have

Databricks Certified Data Engineer Associate, Azure Data Engineer Associate, AWS Data Analytics Specialty, GCP Data Engineer, Prior experience with cloud-based data platforms, Exposure to large-scale ingestion and transformation pipelines, Delta Lake, Delta Live Tables, Databricks Workflows

What You'll Do.

Design data ingestion pipelines

Build data ingestion pipelines

Lead development of ingestion pipelines

Architect transformation workflows

Optimize transformation workflows

Implement data quality frameworks

Enforce data quality standards

Ensure sensitive data fields are encrypted

Optimize Spark/Databricks jobs

Drive root cause analysis

Implement long-term fixes

Configure Power BI DirectQuery

Work on backend databases

How You'll Work.

Team & Collaboration

Collaborate with Security Engineer; Work with Governance team; Collaborate within cross-functional teams; Work across data stakeholders; Work across governance stakeholders; Work across business stakeholders

Communication Scope

Good interpersonal skills; Executive leadership skills; Communicator

Process & Methodology

Lead sprint planning

Full Job Description

**[What the role is]** To design, build, and lead the development of reliable data ingestion and transformation pipelines for the Enterprise Data and AI platform. The Senior Data Engineer will ensure that data from multiple sources is ingested, governed, secured, and made available for analytics, AI, and business use in alignment with NP’s data architecture and governance frameworks. This is a 2-year contract position with the Digital Services & Technology Office. **[What you will be working on]** * Design, build and lead the development of ingestion pipelines for structured and unstructured data (Excel, MSSQL, Postgres, APIs, SharePoint, PDFs, etc.). * Architect and optimise transformation workflows across Bronze, Silver, and Gold layers using Delta Lake and Delta Live Tables. * Define and implement data quality frameworks (schema, dedupe, lineage, metadata enrichment) and work with Governance team to enforce standards. * Collaborate with the Security Engineer to ensure sensitive data fields are encrypted, tokenized, or masked. * Optimize Spark/Databricks jobs for performance and cost efficiency. * Lead sprint planning for data tasks and perform code reviews. * Drive root cause analysis and implement long-term fixes. * Develop dashboards using tools such as PowerBI and DataBricks * Configure Power BI DirectQuery connections to Databricks SQL Warehouse. * Develop backend APIs & work on backend databases. **[What we are looking for]** * Degree in Computer Science, Information Systems, Engineering or a related Technology based education. * Good interpersonal and partner/ executive leadership skills. * 2–4 years of experience in data engineering. * Prior experience with cloud-based data platforms (Databricks, Snowflake, BigQuery, Synapse, Redshift) is a plus. * Exposure to large-scale ingestion and transformation pipelines is a plus. **Skills & Certifications** * **Certifications (Preferably):** * Databricks Certified Data Engineer Associate. * Cloud certs such as Azur

Free ATS check

Applying for this SENIOR DATA ENGINEER - DIGITAL SERVICES & TECHNOLOGY OFFICE role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about Digital Services & Technology Office?

Real rants from real employees. Read before you apply.

Read Company Rants →