Lead Data Engineer in City of London

Lead Data Engineer in City of London

City of London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data engineering projects and design innovative data solutions for clients.
  • Company: Join Thoughtworks, a dynamic tech consultancy revolutionising the industry.
  • Benefits: Enjoy flexible career development, supportive culture, and opportunities for growth.
  • Why this job: Make a real impact by leveraging data to solve complex business challenges.
  • Qualifications: Experience with Snowflake, Databricks, and building large-scale data pipelines.
  • Other info: Collaborative environment focused on continuous learning and professional development.

The predicted salary is between 43200 - 72000 £ 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 Snowflake, Databricks or Fabric experience.
  • 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.).
  • You have worked in Azure or GCP.

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.
  • Previous pre-sales and streaming analytics experience is a plus.

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.

Job Details

Country: UK
City: London
Date Posted: 10-20-2025
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.

Lead Data Engineer in City of London employer: Thoughtworks Inc.

At Thoughtworks, we pride ourselves on being an exceptional employer that fosters a culture of collaboration, innovation, and continuous learning. As a Lead Data Engineer in London, you'll not only lead impactful data projects but also benefit from our commitment to your professional growth through tailored development programmes and a supportive team environment. Join us to work on cutting-edge technology solutions while enjoying the unique vibrancy of London, where every day brings new opportunities to make a difference.
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Contact Detail:

Thoughtworks Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Engineer in City of London

✨Tip Number 1

Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering space. You never know where a casual chat might lead!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake, Databricks, or any cool data pipelines you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you’ve led projects, collaborated with stakeholders, and tackled challenges. Practice makes perfect, so consider mock interviews with friends or mentors.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our community at Thoughtworks. Let’s make it happen!

We think you need these skills to ace Lead Data Engineer in City of London

Data Engineering
Data Architecture
Data Processing Pipelines
Snowflake
Databricks
Big Data Architecture
Data Modelling
Clean Code Practices
Data Visualization
Stakeholder Management
Azure
GCP
Data Governance
Data Security
Data Privacy

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Lead Data Engineer role. Highlight your experience with Snowflake, Databricks, or Fabric, and showcase how you've led data engineering projects in the past. We want to see how your skills align with our needs!

Showcase Your Technical Skills: Don’t hold back on your technical prowess! Detail your experience with data architecture, pipeline creation, and coding practices. We love seeing clean, high-quality code, so if you have examples, share them! This is your chance to shine.

Demonstrate Stakeholder Management: Since collaboration is key, give us examples of how you've successfully managed stakeholders in previous roles. Talk about how you’ve built relationships and gained trust while delivering projects. We’re all about teamwork here at StudySmarter!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our community. Let’s make this happen together!

How to prepare for a job interview at Thoughtworks Inc.

✨Know Your Data Tools

Make sure you brush up on your experience with Snowflake, Databricks, and any other relevant data engineering tools. Be ready to discuss specific projects where you've used these technologies, as well as the challenges you faced and how you overcame them.

✨Showcase Your Leadership Skills

Since this role involves leading data engineering projects, prepare examples that highlight your leadership experience. Think about times when you managed a team, collaborated with stakeholders, or navigated conflicts. This will demonstrate your ability to guide others and drive projects to success.

✨Understand Business Objectives

Familiarise yourself with how data can solve business problems. Be prepared to discuss how you've aligned data solutions with strategic objectives in past roles. This shows that you not only understand the technical side but also how it impacts the bigger picture.

✨Prepare for Technical Questions

Expect to dive deep into technical discussions during the interview. Brush up on data modelling techniques, pipeline architecture, and coding practices. Practising coding challenges or discussing your thought process on technical problems can help you feel more confident.

Lead Data Engineer in City of London
Thoughtworks Inc.
Location: City of London
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