Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data engineering projects and design modern data architectures.
- Company: Leading technology consultancy with a focus on innovation.
- Benefits: Competitive salary, career development opportunities, and a supportive community.
- Why this job: Make an extraordinary impact through technology in a dynamic environment.
- Qualifications: Experience with data pipelines, Snowflake, and strong data modelling skills.
- Other info: Inclusive culture that empowers your career growth.
The predicted salary is between 42000 - 60000 £ per year.
A leading technology consultancy is looking for a Lead Data Engineer in Manchester. This role involves leading and managing data engineering projects, collaborating with stakeholders, and designing modern data architectures.
The ideal candidate will have experience with data pipelines and frameworks like Snowflake, and a strong background in data modeling and quality code practices.
A dynamic and inclusive community is committed to empowering career development and making an extraordinary impact through technology.
Lead Data Engineer: Architect Data Pipelines & Strategy in Manchester employer: Thoughtworks
Contact Detail:
Thoughtworks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer: Architect Data Pipelines & Strategy in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your expertise with tools like Snowflake and your knack for data modelling.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data architectures, as this will show your strategic thinking.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about making connections and helping you land that dream role. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Lead Data Engineer: Architect Data Pipelines & Strategy in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and frameworks like Snowflake. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in data engineering!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our dynamic community. Let us know what excites you about this role and our mission.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve designing modern data architectures or improving data quality.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Thoughtworks
✨Know Your Data Pipelines
Make sure you brush up on your knowledge of data pipelines, especially with frameworks like Snowflake. Be ready to discuss your past experiences in designing and managing these pipelines, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll be expected to lead projects and collaborate with stakeholders. Prepare examples of how you've successfully led teams or projects in the past, highlighting your ability to communicate effectively and drive results.
✨Understand Data Architecture
Familiarise yourself with modern data architectures. Be prepared to discuss your approach to designing scalable and efficient data systems, and how you ensure data quality and integrity throughout the process.
✨Emphasise Continuous Learning
This role is in a dynamic community that values career development. Share your commitment to continuous learning and improvement, whether through courses, certifications, or personal projects. This shows you're proactive and dedicated to staying ahead in the tech field.
