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- Tasks: Build robust data pipelines and design scalable data architecture with modern tools.
- Company: Dynamic tech firm in Leeds with a focus on innovation.
- Benefits: Enjoy a 4-day work week, competitive salary, and flexible working arrangements.
- Why this job: Lead impactful projects and collaborate with teams to deliver valuable insights.
- Qualifications: 6+ years of experience in DBT, SQL, and ELT tools required.
- Other info: Hybrid role with excellent career growth opportunities.
The predicted salary is between 60000 - 70000 £ per year.
A technology firm in Leeds is seeking a Lead Data Engineer to build robust data pipelines and design scalable data architecture. You will collaborate with teams to deliver insights and manage data infrastructure using modern tools like Fivetran and Google Cloud Platform.
The ideal candidate will have 6+ years of experience and expertise in DBT, SQL, and ELT tools.
This hybrid role offers a competitive salary of £60k-£70k and numerous perks, including a 4-day work week, health insurance, and flexible working arrangements.
Lead Data Engineer — 4-Day Week, Hybrid Leeds employer: Modo25
Contact Detail:
Modo25 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer — 4-Day Week, Hybrid Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving DBT, SQL, and ELT tools. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you've used modern tools like Fivetran and Google Cloud Platform to solve real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead Data Engineer — 4-Day Week, Hybrid Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and architecture. We want to see how your skills in DBT, SQL, and ELT tools align with what we're looking for!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Lead Data Engineer role. Share specific examples of your past work and how it relates to our needs at StudySmarter.
Showcase Your Collaboration Skills: Since this role involves working closely with teams, let us know about your experiences collaborating on projects. We love seeing how you can bring people together to achieve great results!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Modo25
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Fivetran and Google Cloud Platform. Brush up on your DBT, SQL, and ELT skills, as you’ll likely be asked to demonstrate your expertise during the interview.
✨Showcase Your Experience
With 6+ years of experience required, prepare specific examples from your past roles where you built data pipelines or designed scalable architectures. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Collaborative Mindset
Since this role involves working with various teams, be ready to discuss how you’ve successfully collaborated in the past. Share examples of how you’ve communicated complex data concepts to non-technical stakeholders to ensure everyone is on the same page.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy, team dynamics, and the tools they use. This shows your genuine interest in the role and helps you assess if it’s the right fit for you, especially in a hybrid work environment.
