Lead Data Engineer (Databricks Specialization)

Overview

Build & operate large‑scale data pipelines on Databricks/AWS for client AI/ML solutions.

Key Responsibilities

• partner collaboration
• thought leadership
• cloud strategy
• skill development
• data pipelines
• impact delivery

Tasks

-Work with Temus’ ecosystem of partners to deliver client value -Support thought leadership development as a team for data engineering and scaling deployments -Adopt a cloud-first strategy to enhance agility and elasticity by partnering with vendors to support specific public sector needs -Show active tracks of improving knowledge and skills (e.g. courses, podcasts, books, experimentation, open source volunteering, tech meetups etc.) -Develop and deliver value to clients by building large scale enterprise data pipelines to capture, transform and store date to support reporting, automated systems and AI/ML Team -Delivery of data pipelines to drive material impact and drive disruptive transformation across our clients in public and private sectors

Requirements

• databricks
• python
• sql
• aws
• kafka
• ci/cd

What You Bring

-Hands-on experience with Databricks including setup, configuration, administration on cloud infrastructure followed by on-boarding data sources, building data pipelines and data assets for downstream consumption -Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats. -Proficient in at least one core language: Python, .Net (C#) -Exposure to concepts like Serverless computing, CI/CD, Containerization, Infrastructure as Code, code version control and automated testing -Experience with setup and administration of Tableau server is an added advantage -Ability to work independently with minimal guidance -Mastered SQL querying to build any data presentations using joins, reference tables, groupings, statistics etc. -Excellent understanding on SQL data storage structures and storage/query optimizations -Hands-on experience in designing, building and operationalizing data solutions and applications (with batch or streaming data) -At least 3 years of experience with AWS cloud data platforms (S3, RDS, Glue, Redshift, …) -Strong ability to develop and maintain relationships amongst clients, colleagues, and partners -Ability to work within an unstructured environment with ability to multitask well -Ability to work as part of a large team -Knowledge of Kafka for data streaming (producer, topics and consumers)

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About Temus

-Rooted in Singapore’s Smart Nation vision, each project bridges cutting-edge AI, cloud, low-code and human-centered design to create real-world impact. -Its projects span national health platforms, defence efficiency tools, digital banking systems, telco apps, smart campus apps, and water-resource platforms. -As an AWS Select Tier Services partner, it delivers enterprise-grade cloud, data, and AI platforms tailored to mission-critical industries. -From GenAI resident health companions to immersive super-apps, Temus blends innovation with empathy for both citizens and enterprises.

Sector Specialisms