At a Glance
- Tasks: Build and maintain data architecture and pipelines to solve complex business challenges.
- Company: Thoughtworks is a global tech consultancy driving digital innovation for over 30 years.
- Benefits: Enjoy a supportive culture with career development tools and flexible growth paths.
- Why this job: Join a collaborative team that values curiosity, innovation, and technical excellence.
- Qualifications: Experience in data engineering, coding, and stakeholder management is essential.
- Other info: Embrace a unique career journey with opportunities for mentorship and personal growth.
The predicted salary is between 43200 - 72000 Β£ per year.
Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy.
Job responsibilities
- You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
- You will develop intricate data processing pipelines, addressing clients' most challenging problems.
- You will collaborate with data scientists to design scalable implementations of their models.
- You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
- You will 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 collaborate with the team on the areas of data governance, data security and data privacy.
- You will incorporate data quality into your day-to-day work.
Job qualifications
Technical Skills
- Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems.
- You have hands-on experience of data modeling and modern data engineering tools and platforms.
- You have experience in writing clean, high-quality code using the preferred programming language.
- You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.
- You have experience with data visualization techniques and can communicate the insights as per the audience.
- You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.
- You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).
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 are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
- You donβt shy away from risks or conflicts, instead you take them on and skillfully manage them.
- You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Senior Data Engineer employer: Thoughtworks Inc.
Contact Detail:
Thoughtworks Inc. Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Data Engineer
β¨Tip Number 1
Familiarise yourself with the latest big data tools and frameworks mentioned in the job description, such as data mesh. Being well-versed in these technologies will not only boost your confidence but also demonstrate your commitment to staying current in the field.
β¨Tip Number 2
Showcase your experience with data pipelines and distributed systems by preparing specific examples of past projects. Be ready to discuss the challenges you faced and how you overcame them, as this will highlight your problem-solving skills and technical expertise.
β¨Tip Number 3
Emphasise your collaboration skills, especially your ability to work with data scientists and other stakeholders. Prepare anecdotes that illustrate how you've successfully liaised between technical and non-technical teams to achieve project goals.
β¨Tip Number 4
Be prepared to discuss your approach to data governance, security, and privacy. Understanding these aspects is crucial for the role, so consider how you've implemented best practices in your previous work and be ready to share those insights.
We think you need these skills to ace Senior Data Engineer
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with data pipelines and modern data architecture. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the responsibilities outlined by Thoughtworks. Mention specific projects or experiences that showcase your ability to solve complex data problems.
Showcase Technical Skills: Clearly outline your technical skills related to data modeling, distributed systems, and programming languages. Provide examples of how you've used these skills in previous roles to build and maintain data solutions.
Highlight Collaboration Experience: Emphasise your experience working with cross-functional teams, especially with data scientists. Discuss how you have contributed to collaborative problem-solving and stakeholder management in past projects.
How to prepare for a job interview at Thoughtworks Inc.
β¨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with data engineering tools and platforms. Highlight specific projects where you've built and deployed large-scale data pipelines, and be ready to explain the technologies you used and the challenges you faced.
β¨Demonstrate Problem-Solving Abilities
Since the role involves addressing complex client problems, come equipped with examples of how you've tackled difficult issues in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses and clearly illustrate your thought process.
β¨Emphasise Collaboration and Stakeholder Management
As a Senior Data Engineer, you'll need to liaise with various stakeholders. Share experiences where you've successfully managed relationships and ensured buy-in from clients or team members. This will show your ability to work effectively within a team and navigate complex project dynamics.
β¨Prepare for Technical Questions
Expect technical questions related to data modelling, distributed systems, and coding practices. Brush up on your knowledge of SQL, NoSQL, and data visualisation techniques. Being able to articulate your understanding of these concepts will demonstrate your expertise and readiness for the role.