Data Engineer jobs in Singapore – this JobsRivo guide collects publicly listed Data Engineer vacancies from official careers pages of major Singapore-based employers that openly advertise Employment Pass (EP) visa sponsorship. We do not list the role on behalf of any single employer; we link to each employer’s own careers portal so you can apply directly and free of charge.

What JobsRivo verified

• Each linked employer (Grab, Sea Limited, Shopee) is a registered company in Singapore (verifiable on ACRA / BizFile+).
• Each linked employer publishes Data Engineer or directly comparable engineering roles on its own careers portal as of the “last checked” date above.
• Singapore’s Employment Pass programme is administered by the Ministry of Manpower under the criteria linked above.
• None of the linked employers requires payment from candidates to apply or to be sponsored.

What is NOT confirmed by JobsRivo

• Whether a specific Data Engineer vacancy is open at the exact moment you read this page – employer listings change daily.
• The exact salary offered to any individual candidate – ranges below are based on publicly reported Singapore market data, not a guaranteed offer.
• Internal interview timelines, team allocation, or relocation package details for any individual employer.
• Approval of any Employment Pass application – approval is decided by Singapore MOM, not by the employer or by JobsRivo.

Role overview (Data Engineer, Singapore)

Data Engineer positions in Singapore are typically full-time permanent roles attached to a Singapore-registered legal entity. The hiring employer files the Employment Pass on the candidate’s behalf through the MOM EP Online system after the candidate accepts a written offer.

Typical responsibilities (taken from current public job descriptions)

• Build batch and streaming data pipelines (Spark, Flink, Kafka).
• Model and maintain warehouse / lakehouse layers (BigQuery, Snowflake, Iceberg).
• Own data quality, lineage and SLA monitoring for critical datasets.
• Partner with analytics and ML teams to ship reliable feature and metric pipelines.
• Apply PDPA-aligned data-governance and access controls.

Typical requirements (taken from current public job descriptions)

• Bachelor’s degree in Computer Science, Data Engineering or related.
• 3+ years of production data-engineering experience.
• Strong SQL plus Python or Scala.
• Hands-on Spark / Kafka / Airflow.
• Cloud data-warehouse experience (BigQuery / Snowflake / Redshift).

Reported salary range (Singapore market, 2026)

Publicly reported total compensation for Data Engineers in Singapore typically falls in the SGD 95,000 – SGD 155,000 per year range, including base salary and performance bonus. The actual offer depends on years of experience, specialisation, and the specific employer. Singapore EP applications must meet the MOM minimum qualifying salary in force on the date of submission – check the MOM link in the source box for the current threshold.

Visa pathway: Singapore Employment Pass (EP)

The Employment Pass is the standard work visa for foreign professionals in Singapore. The employer (not JobsRivo, not the candidate) submits the application through MOM. Family members can apply for a Dependant’s Pass once the EP is approved and salary criteria are met.

How to apply (page-specific steps)

1. Open the official careers link in the Source & Verification box above for the employer you want to apply to.
2. Search that employer’s careers portal for the exact “Data Engineer” job title and filter by “Singapore”.
3. If the listing is live, apply directly on the employer’s portal – do not send your CV to any third party claiming to represent the employer.
4. Prepare: updated CV, degree transcript, passport bio page, and a short cover note tailored to the specific job ID.
5. If the listing is no longer visible, the role has likely closed for that round; bookmark the careers page and re-check in 2–3 weeks.

Applicant tips specific to Data Engineer roles in Singapore

• Tailor each application to one employer at a time – Singapore tech recruiters reject mass-sent CVs quickly.
• Quantify model / system impact in your CV (latency reduction, cost saving, accuracy uplift) – this is a stronger signal than tool lists.
• Have a public portfolio link (GitHub, Kaggle, technical blog) ready – Singapore tech employers screen this before the first call.
• Be ready to discuss responsible-AI, data-governance, and PDPA compliance in interviews – these are routinely tested.

Disclaimer: JobsRivo is an independent job-listings publisher, not the employer and not a recruitment agency. We never charge job seekers. Always confirm vacancy details on the employer’s official careers page linked in the Source & Verification box.

Last reviewed by: JobsRivo Editorial Team · Last checked: May 10, 2026