Job Board

Senior Data Scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making.

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.

As a Principal Data Engineer at Thoughtworks, you play a crucial role in developing inclusive and modern data architecture approaches to meet key business objectives while providing end-to-end data solutions. Your responsibilities encompass a diverse range of tasks, reflecting the dynamic nature of our work and the varied skills you bring to the table.

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.

Your passion is data and analytics. You want to create value at our clients by uncovering, organizing, and making sense of data. You understand that it is important to build robust solutions. You feel comfortable to operate in the sweet spot between business and engineering.

You are an engineer with a pragmatic attitude. You feel the weight of responsibility that comes with taking systems into production. You easily switch between scripting and structured programming in typed languages. You understand cloud, provisioning and automation. And you know how to build robust systems.

You are an engineer or an architect with a lot of interest in/experience with data. You know your way in the cloud; keep your knowledge up to date by watching webinars and visiting conferences. You don’t mind getting your hands dirty but have an analytical mindset that allows you to clearly define the root of a problem. And, then by mapping this problem to a new or existing cloud data platform, you come up with one or more approaches.

You are passionate about helping organizations drive their success with Data & AI. You feel comfortable operating at the sweet spot between Leadership, Business, and Tech. And, after co-creating a vision and strategy on Data & AI, you’re not afraid to kick-start and drive the execution with a top-notch team that will turn your ideas into reality.

You understand ML. You understand that scale is not trivial. You like to code. You are comfortable to be a bridge between data scientists and data engineers to build production-ready, scalable applications driven by data and AI.