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Temus

Lead Data Engineer

Serangoon
Level
Lead

Not stated in the posting: salary, work type, visa.

Open. First seen 3 October 2026.

Apply on the company's site →

About the role

Temus's standard text

Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. We aspire to be a strategic partner in realising the Singapore Government’s Smart Nation vision. We are headquartered in Singapore and have more than 400 employees across a wide range of disciplines in strategy, design, architecture, technology, data & AI.

Your objectives

  • Solve the hardest problems with data and AI to deliver social and economic value.
  • Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
  • Build, lead and mentor a world-class team of data engineers.
  • Maintain a culture of excellence and lead with confidence, charisma, context, and humility working effectively at all levels.
  • Create and deliver technical blogs & thought leadership on data engineering.
  • Invest continuously in building and extending your knowledge and skills.

Your background

  • Exceptional expertise in expertise in designing, building, and maintaining enterprise-scale data platforms and pipelines.
  • Practical hands-on experience with at least three major data platforms: Snowflake, Databricks, BigQuery, MongoDB, Cassandra, PostgreSQL, MySQL, Oracle, Neo4j.
  • Proficiency with modern data processing frameworks: Spark, dbt, Airflow, or similar technologies.
  • Advanced knowledge of data streaming solutions: Kafka, Spark Streaming, Flink, or equivalent.
  • Expert-level coding ability in at least one language (Python, Scala, Java) and working knowledge of others.
  • Strong experience with cloud data services (AWS, Azure, GCP) including migration strategies and optimization.
  • Practical experience implementing data governance, security, and compliance frameworks.
  • 10 years of experience delivering and managing data solutions through incubation, proofs-of-concept, to deployment and commercialisation.
  • Strong ability to develop and maintain relationships amongst clients, colleagues, and partners.
  • Ability to develop and deliver client proposals, and build consensus supported by detailed analysis, deep expertise and effective communication.
  • Demonstrated ability to guide, develop and mentor data engineers.
  • Demonstrated ability to create technical blogs & thought leadership on data engineering and management.
  • Active engagement in the data community taking and giving courses, following podcasts, reading books, attending meetups, and developing projects.
  • A good sense of humour. 😉
Temus's standard text

Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.

We see the diversity of our team as a strategic advantage, and we work actively to maintain it.

By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/

What this role asks for

Particular to this role

Airflow · BigQuery · Cassandra · Databricks · Flink · Kafka · MongoDB · Neo4j

Rare in Temus's other 29 open postings.

Standard for data engineering roles

AWS · GCP · Python · Snowflake · Spark

Common in data engineering postings at any company.

In most of Temus's ads

Azure

Named in most of its open postings, whatever the role.

69% of this description is written for the role. The rest is Temus's standard text, folded away below.

Read against Temus's other open postings on this site.

The team: Data Engineering

This role is one of 5 open in Data Engineering.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

CI/CD (4 of 5), Kafka (3 of 5), LLM (3 of 5), Machine Learning (3 of 5), Python (3 of 5), Serverless (3 of 5), Snowflake (3 of 5)

OTHER ROLES ON THIS TEAM

From the team and dates on Temus's own job board.

Salary context

8 other open postings titled Lead Data Engineer state a salary: median USD 145,000 to USD 209,000 a year.

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