Data careers

Data engineers

are responsible for bringing our clients scalable and robust solutions related to the processes of creating pipelines, platforms, organization, governance and data quality. They have experience in cloud, on-premises technologies and migrations.

Data architects

are responsible for designing reference architectures, covering key aspects of data management, governance, domains, modeling, integration, security, compliance and more. They are responsible for the discovery, roadmap, feasibility study and recommendation of frameworks, practices and tools in the data world to better meet business objectives.

Data scientists

are responsible for identifying business opportunities and how to respond to them through the applied use of data and thus maximizing client results. They play a strategic role both from a technical and business point of view, proposing the use of advanced machine learning techniques along with algorithms and success metrics that will serve in the future to evaluate the results of production models.

ML engineers

are responsible for providing the technical components capable of enabling CD4ML principles such as experiment versioning tools, data repositories, automation mats and integration layers with production environments. They work closely with data scientists, evaluating aspects of scalability and performance for proposed data models.

Data analysts

are responsible for conducting complex analysis, proposing business indicators and generating analytic solutions to support clients in generating business value. They have experience in transforming data into insights through understanding the business and creating automated dashboards for demonstrating results and making decisions.

Senior Data Consultant, Spain

I consider myself a constant learner who is always trying to make things better. In the software world, this is something you can do every day due to the challenges you have to face, and that's why I decided to study Computer Engineering.

I joined Thoughtworks as a Senior Developer in 2019 because I wanted to take my career to the next level. In Thoughtworks, I've learnt about a bunch of practices, methodologies and techniques, among many other things, from great people.

However, I don't see myself as a developer that likes to code in a dark room, alone, without any human interaction. I love talking to people, interacting with humans, and understanding others' point of view. But most importantly, I love to understand the business in order to take the product we are working on to the next level.

Lead Data Engineer, Munich

Kelsey is a Lead Engineer at Thoughtworks with a background in laboratory acoustic phonetics (linguistics) and currently works as a Software Developer, Cloud Infrastructure Specialist, and Data Engineer.  She is passionate about helping clients develop products that solve real and validated business problems, building out those solutions in a pragmatic and modern way, and coaching teams on high-performance behaviours.

Talk to Kelsey about sustainable practices (both tech and non-tech) in the era of climate change or how data can contribute to this globally urgent issue.

Head of Data Strategy & Data Governance Services, Europe

I am the the Data Strategy & Data Governance Lead at Thoughtworks Europe. Having worked in data analytics, data governance and data strategy for more than a decade, I have come to find a particular passion for the human dimension of data: collaboration, communication and creativity.

I like to make data more understandable, approachable and fun through music and memes.