Lead Data Engineer

Confirmed live in the last 24 hours

Thoughtworks

Singapore, Singapore

On-site

Posted April 3, 2026

Job Description

Thoughtworks Singapore will be shortlisting applicants who have a current right to work in Singapore, i.e. Singapore citizen or Singapore Permanent Residency (PR) only due to the nature of business.

Lead data engineers at Thoughtworks develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. They might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On projects, they will be leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. Alongside hands-on coding, they are leading the team to implement the solution.

Job responsibilities

You will lead and manage data engineering projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration.
You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems.
You will collaborate with data scientists to design scalable implementations of their models.
You write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
You will lead and advise clients on how to use different distributed storage and computing technologies from the plethora of options available.
You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.
You will be responsible for data governance, data security and data privacy to support business and compliance requirements.
You will define the strategy for and incorporate data quality into your day-to-day work.

Job qualifications

Technical Skills

Have experience leading the system design and implementation of complex technical solutions.
Proficient in building, managing, and optimizing data pipelines using SQL and Python. You are familiar with common design patterns, application frameworks, and major Cloud platforms (AWS, GCP, or Azure).
Experience architecting, building, and operating big data solutions within distributed systems. This includes maintaining data storage, working with technologies like Spark, and using orchestration tools.
Possess essential skills in designing robust ETL/ELT pipelines and data modeling. You have hands-on experience with modern data engineering tools and cloud data warehousing.
Have built and deployed large-scale, data-centric applications using distributed storage and processing platforms in a production environment.
Have experience designing and developing real-time, low-latency data streaming solutions leveraging industry-leading technologies (both Cloud and on-premise).
Experienced in data visualization techniques and can effectively communicate technical insights tailored to your audience.
Experience defining and implementing data governance and security policies.
Well-versed in various database types, including Relational (SQL), NoSQL, Data Lakes, and different data schemas.

Professional Skills

You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
You

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