Goodnotes

Senior Data Engineer (12-months Fixed-Term Contract – Renewable)

Goodnotes · Singapore

Posted about 2 months ago

or apply directly on Goodnotes's site. We never take the application ourselves.

Is this posting real?

This role has been open
64 days
Goodnotes's roles stay open a median of 59 days
Reposted
No
Salary listed
No
0% of Goodnotes's roles list one
Ghost-job risk at Goodnotes
high
3 stale, 0 reposted of 4 open
Hiring momentum
5 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-06

Measured from postings appearing on and disappearing from Goodnotes's own greenhouse board since 2026-08-03. Full hiring picture for Goodnotes.

About this role

As a Senior Data Engineer on the Data Platform team, you will design and build the next generation of Goodnotes' data infrastructure, focusing on creating scalable data pipelines and models that support analytics and AI-driven products. You will collaborate with cross-functional teams to ensure data quality and reliability while leveraging AI to enhance engineering productivity. This role involves working with modern cloud-native technologies and requires a strong sense of ownership and problem-solving skills.

Our read on this posting2.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Goodnotes as an employer.

What you need

  • Significant experience as a Data Engineer building production-grade data platforms.
  • Strong SQL skills and experience designing scalable data pipelines and data models.
  • Experience designing and operating modern cloud-native data platforms on AWS.
  • Experience building batch and streaming data platforms using technologies such as Kafka, Confluent, Apache Pulsar, or similar messaging systems.
  • Strong understanding of data quality, testing, monitoring, observability, and operational excellence.
  • Excellent collaboration and communication skills, with the ability to work across engineering, product, and data teams.

Nice to have

  • Familiarity with dbt, Snowflake, ClickHouse, Apache Iceberg, or modern lakehouse architectures is a plus.
  • Experience applying AI to improve engineering productivity and build more intelligent, scalable data platforms is a plus.
  • Experience with dbt and modern analytics engineering practices.
  • Experience with Snowflake or another modern cloud data warehouse.
  • Experience with technologies such as ClickHouse, Apache Iceberg, or modern lakehouse architectures.

What you get

  • Hybrid Flexible Working: Empowering you to work in a way that fits your life.
  • Customized Growth & Wellness Budgets: Dedicated stipends for professional training and health activities.
  • Global Connectivity: Sponsored visits to office locations for collaboration.
  • Company-Wide Offsite: Annual gathering of the global team for celebration and alignment.
  • Comprehensive Health Coverage: Premium medical insurance for you and your dependents.

Worth weighing

  • This is a fixed-term contract role for 12 months, which may or may not be renewed.
  • The role emphasizes a hybrid working model, which may not suit everyone.
  • The focus on AI and modern technologies suggests a forward-thinking environment, but may also imply a steep learning curve for those unfamiliar with these areas.

Summarised from Goodnotes's posting. Read the full original.

Listed by Goodnotes on their greenhouse job board, last confirmed open on 2026-10-06. PitchMeAI is not the employer.

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