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- Tasks: Lead high-performing teams and manage cloud-based data platforms.
- Company: A leading SaaS organisation in Central London with a collaborative culture.
- Benefits: Full-time position with opportunities for career growth and development.
- Why this job: Drive technical strategy and make a real impact in data engineering.
- Qualifications: Strong technical skills in data engineering and team management experience.
- Other info: Dynamic environment focused on developing engineering talent.
The predicted salary is between 72000 - 108000 £ per year.
A leading SaaS organisation in Central London is seeking a Head of Data Engineering to lead high-performing teams and manage data platforms on cloud services, primarily Google Cloud (GCP). The role emphasizes leadership, stakeholder engagement, and delivering quality. The ideal candidate will have strong technical skills in data engineering and prior experience managing teams. This full-time position offers a collaborative environment for driving technical strategy and developing engineering talent.
Head of Data Engineering — Scale Data Platforms & Teams in London employer: dcoded. | B Corp TM pending
Contact Detail:
dcoded. | B Corp TM pending Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering — Scale Data Platforms & Teams in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a new role. You never know who might have the inside scoop on opportunities, especially in leading SaaS companies.
✨Tip Number 2
Showcase your leadership skills! When you get the chance to chat with potential employers, highlight your experience managing teams and driving technical strategy. They want to see how you can lead high-performing teams and deliver quality results.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills, especially around cloud services like Google Cloud (GCP). Be ready to discuss how you've successfully managed data platforms and engaged stakeholders in your previous roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our collaborative environment and developing engineering talent.
We think you need these skills to ace Head of Data Engineering — Scale Data Platforms & Teams in London
Some tips for your application 🫡
Show Off Your Leadership Skills: When writing your application, make sure to highlight your experience in leading teams. We want to see how you've managed projects and engaged with stakeholders in the past. This is your chance to shine!
Get Technical: Don’t shy away from showcasing your technical skills in data engineering. We’re looking for someone who knows their stuff, especially with cloud services like Google Cloud (GCP). Be specific about your experiences and achievements.
Tailor Your Application: Make sure your application speaks directly to the job description. Use similar language and keywords that we’ve included. This shows us you understand what we’re looking for and that you’re genuinely interested in the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at dcoded. | B Corp TM pending
✨Know Your Data Engineering Stuff
Make sure you brush up on your technical skills related to data engineering, especially around Google Cloud Platform (GCP). Be ready to discuss your past projects and how you've tackled challenges in data management. This will show that you’re not just a leader but also technically savvy.
✨Showcase Your Leadership Style
Prepare to talk about your leadership approach and how you’ve successfully managed teams in the past. Think of specific examples where you’ve motivated your team or resolved conflicts. This will help demonstrate your capability to lead high-performing teams effectively.
✨Engage with Stakeholders
Since stakeholder engagement is key for this role, be ready to discuss how you’ve collaborated with different departments or clients. Share examples of how you’ve communicated complex data concepts to non-technical stakeholders, as this will highlight your ability to bridge gaps.
✨Emphasise Quality Delivery
Talk about your commitment to delivering quality in your work. Prepare examples of how you’ve ensured high standards in your projects, whether through testing, feedback loops, or continuous improvement processes. This will resonate well with the company’s focus on quality.
