Temus

Digital transformation for public and enterprise

Director – Data

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

Minimum 10 years of relevant experience in consulting or data science-related functions, including at least 3 years of leadership or people-management experience.
Deep expertise in developing and managing software for data processing, including Python, Java, SQL, KSQL, Scala, Spark, Flink, Beam, AWS Glue, and Google Dataflow.
Deep expertise in building and managing data platforms, including Databricks, HBase, MongoDB, Cassandra, Redis, PostgreSQL, Oracle, MySQL, Kafka, Kinesis, DynamoDB, Redshift, Cloud SQL, Cloud Spanner, Cloud Bigtable, Firestore, BigQuery, Azure SQL, Cosmos DB, Stream Analytics, Synapse Analytics, DeltaLake, Elasticsearch, and Snowflake.
Strong data-management skills, including data accuracy, integrity, latency, classification, security, lineage, and metadata.
Ability to communicate with clients, colleagues, and partners across a variety of contexts and formats.
Ability to develop and maintain relationships with clients, colleagues, and partners.
Demonstrated capability to lead, inspire, coach, and mentor team members and colleagues.

Responsibilities

Recruit, inspire, lead, and mentor a team of data engineers.
Use data engineering to support material impact and drive disruptive transformation across public and private sectors.
Build a world-class team with expert capabilities in data engineering.
Lead delivery of data engineering solutions from incubation and proofs of concept through commercialisation and deployment.
Be accountable for the data practice's profit and loss, including managing project financials, monitoring revenue and costs, and maintaining a healthy new-business pipeline to meet quarterly or annual targets.
Develop and execute strategic plans for sustainable growth and revenue expansion.
Manage team utilization and forecast resource requirements to ensure efficient deployment of talent.
Optimize operational workflows and team productivity to support current and future project needs.
Collaborate with strategy, design, architecture, and other teams to create integrated, end-to-end digital transformation solutions.
Ensure AI initiatives align with broader business objectives and technological ecosystems.
Establish key performance indicators such as revenue growth, project profitability, team utilization rates, client satisfaction scores, and employee retention.
Regularly monitor and report on these metrics to measure success and inform strategic decisions.

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.

Our services span from strategic advisory through to digital, data and AI delivery. Our focus is on harnessing disruptive innovation to unlock economic and social value enabled by technology.

We are growing quickly, and we are looking to recruit strong and highly motivated people to join us on this audacious mission.

Your objectives

Recruit, inspire, lead, and mentor a team of the strongest Data engineers
Use data engineering to support material impact and drive disruptive transformation across public and private sectors
Build a world-class team with expert capabilities in data engineering
Lead delivery of data engineering solutions through incubation, proofs-of-concept, to commercialisation and deployment

Key Roles & Responsibilities:

1. Define Commercial Responsibilities

Accountable for the P&L of the Data practice, including managing project financials, monitoring revenue and costs, and maintaining a healthy pipeline of new business to meet quarterly or annual targets.
Develop and execute strategic plans for sustainable growth and revenue expansion.

2. Specify Operational Metrics

Manage team utilization and forecast resource requirements to ensure efficient deployment of talent.
Optimize operational workflows and team productivity to support current and future project needs.

3. Emphasize Cross-Functional Integration

Collaborate with strategy, design, architecture, and other teams to create integrated, end-to-end digital transformation solutions.
Ensure AI initiatives are aligned with broader business objectives and technological ecosystems.

4. Quantify Success

Establish KPIs such as revenue growth, project profitability, team utilization rates, client satisfaction scores, and employee retention.
Regularly monitor and report on these metrics to measure success and inform strategic decisions.

Requirements & Qualifications:

Minimum 10 years of relevant experience in consulting/ data science related functions with with at least 3 years of leadership / people management experience
Data Development: Deep expertise in developing and managing software for data processing: Python, Java, SQL, KSQL, Scala, Spark, Flink, Beam, AWS Glue, Google Dataflow, etc.
Data Platforms: Deep expertise in building and managing data platforms: Databricks, HBase, MongoDB, Cassandra, Redis, PostgreSQL, Oracle, MySQL, Kafka, Kinesis, DynamoDB, Redshift, Cloud SQL, Cloud Spanner, Cloud Bigtable, Firestore, BigQuery, Azure SQL, Cosmos DB, Stream Analytics, Synapse Analytics, DeltaLake, Elasticsearch, Snowflake etc.
Data Management & Governance: Strong skills in data management: accuracy, integrity, latency, classification, security, lineage, metadata, etc.
Communication: Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
Partnership: Strong ability to develop and maintain relationships amongst clients, colleagues, and partners
Leadership: Demonstrated capability to lead, inspire, coach and mentor team members and colleagues.

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/

About the Company

Temus

Digital transformation for public and enterprise

Temus delivers digital transformation services for public-sector organisations and private enterprises by combining strategy, service and product design, agile delivery, low-code development, cloud engineering, data and artificial intelligence. It works across mission-critical domains such as healthcare and defence, building tailored digital platforms and applications. The company emphasizes involving users, customers, citizens and employees in the design of practical technology solutions and uses an end-to-end approach from strategy to delivery. Temus differentiates itself by its strong focus on human-centered, cross-domain delivery within public sector and enterprise contexts, and by operating as part of a broader digital transformation ecosystem anchored in Singapore. The goal is to help organisations modernise operations, improve services, and enable impactful public and enterprise outcomes through practical technology solutions.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Singapore, Singapore
Founded: 2021

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