At a Glance
- Tasks: Lead data engineering projects, design solutions, and develop data processing pipelines.
- Company: Thoughtworks is a leading tech consultancy transforming businesses through innovative technology solutions.
- Benefits: Enjoy a supportive culture, flexible career paths, and numerous development programs.
- Why this job: Join a dynamic team that values collaboration, innovation, and personal growth in tech.
- Qualifications: Experience in data architecture, coding, and stakeholder management is essential.
- Other info: Embrace autonomy while being part of a community focused on continuous learning.
The predicted salary is between 48000 - 84000 £ per year.
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
- You have experience in leading the system design and implementation of technical solutions.
- Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems.
- You have a deep understanding of data modeling and experience with 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 don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
- You 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.
- You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
- Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.
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.
Country: UK
City: London
Date Posted: 08-18-2025
Industry: Information Technology
Employment Type: Regular
About Thoughtworks
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
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Lead Data Engineer employer: Thoughtworks Inc.
Contact Detail:
Thoughtworks Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the latest data engineering tools and platforms. Being well-versed in technologies like Apache Spark, Hadoop, or cloud-based solutions will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Showcase your leadership skills by discussing past experiences where you successfully managed data engineering projects. Highlight how you collaborated with stakeholders and led teams to deliver impactful solutions, as this is crucial for the Lead Data Engineer role.
✨Tip Number 3
Prepare to discuss your approach to data governance, security, and privacy. Understanding these aspects is vital for the role, so be ready to share examples of how you've implemented best practices in previous positions.
✨Tip Number 4
Network with professionals in the data engineering community. Engaging with others in the field can provide insights into industry trends and may even lead to referrals, increasing your chances of landing the job with us at StudySmarter.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly any leadership roles or projects you've managed. Emphasise your technical skills, especially in big data architecture and data pipeline development.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data engineering and how your experience aligns with the responsibilities outlined in the job description. Mention specific projects where you've successfully led teams or implemented data solutions.
Showcase Technical Skills: Be explicit about your technical expertise in your application. Include details about the programming languages you are proficient in, the data engineering tools you have used, and any experience with distributed systems and data governance.
Highlight Stakeholder Management Experience: Since stakeholder management is crucial for this role, provide examples of how you've effectively liaised with clients and other stakeholders in past projects. This will demonstrate your ability to build relationships and manage expectations.
How to prepare for a job interview at Thoughtworks Inc.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data architecture and engineering tools. Highlight specific projects where you've designed and implemented data pipelines, and be ready to explain the technologies you used and the challenges you faced.
✨Demonstrate Stakeholder Management Skills
Since this role involves liaising with clients and stakeholders, share examples of how you've successfully managed relationships in previous projects. Discuss how you ensured buy-in and trust from stakeholders while navigating any conflicts.
✨Emphasise Leadership and Mentoring Experience
As a lead data engineer, you'll be expected to coach and motivate your team. Prepare to talk about your leadership style, how you've influenced teammates, and any mentoring experiences that showcase your ability to develop others professionally.
✨Prepare for Problem-Solving Scenarios
Expect to face hypothetical scenarios during the interview that test your problem-solving skills. Think about how you would approach ambiguous situations, manage risks, and adapt your strategies to meet project goals effectively.