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For Companies At a Glance
- Tasks: Lead a team of engineers and manage a GCP-based data platform.
- Company: Join a well-established brand known for data innovation.
- Benefits: Enjoy hybrid work options and competitive salary.
- Why this job: Step into a high-impact role in a forward-thinking environment.
- Qualifications: Experience in team leadership and cloud-based data ecosystems required.
- Other info: Applications close on 16th May, so apply soon!
The predicted salary is between 76000 - 114000 £ per year.
La Fosse have partnered with a very well-established brand who are looking to hire a hands-on Lead Data Engineer to join an industry-leading team. This is a fantastic opportunity to step into a high-impact role within a forward-thinking data environment.
What You’ll Be Doing:
- Leading a small team of engineers, providing mentorship and technical guidance.
- Taking ownership of the health and stability of a widely used data platform.
- Managing and improving a heavy Airflow estate within a GCP-based environment.
- Ensuring robust engineering practices and continuous platform improvement.
Tech Stack: GCP and Airflow (essential), dbt, Terraform, Kubernetes (nice to have). Exposure to ChatGPT and AI innovation (a bonus).
Who You Are:
- A self-starter with excellent communication skills and strong problem-solving ability.
- Experienced in line management, team leadership, and technical mentoring.
- Confident working in a modern cloud-based data ecosystem.
If you’re interested in this Lead Data Engineering role, apply now! We’re looking for a skilled engineer ready to contribute and make a difference. Applications close on 16th May, so make sure to submit yours before then.
This is a great opportunity to join a respected team at the forefront of data innovation.
Lead Data Platform Engineer employer: La Fosse Associates
Contact Detail:
La Fosse Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Platform Engineer
✨Tip Number 1
Familiarise yourself with GCP and Airflow, as these are essential for the role. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your hands-on experience.
✨Tip Number 2
Highlight your leadership skills by preparing examples of how you've successfully managed teams or mentored junior engineers in the past. Be ready to discuss specific challenges you faced and how you overcame them.
✨Tip Number 3
Stay updated on the latest trends in data engineering, especially around AI and tools like ChatGPT. Being knowledgeable about innovations in the field can set you apart during discussions with the hiring team.
✨Tip Number 4
Prepare thoughtful questions about the company's data platform and their future plans. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
We think you need these skills to ace Lead Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with GCP and Airflow. Emphasise any leadership roles or mentoring experiences you've had, as these are key for this position.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or achievements that demonstrate your problem-solving skills and experience in managing data platforms.
Showcase Technical Skills: Clearly outline your technical skills related to the job description. Include your experience with dbt, Terraform, and Kubernetes, even if they are not essential, as they can set you apart from other candidates.
Highlight Soft Skills: Since the role requires excellent communication and team leadership, provide examples of how you've successfully led teams or mentored others in previous positions. This will show that you're not just technically proficient but also a great fit for the team.
How to prepare for a job interview at La Fosse Associates
✨Showcase Your Leadership Skills
As a Lead Data Platform Engineer, you'll be expected to lead a team. Be prepared to discuss your previous experiences in team leadership and mentoring. Share specific examples of how you've guided your team through challenges and fostered a collaborative environment.
✨Demonstrate Technical Proficiency
Make sure you are well-versed in GCP and Airflow, as these are essential for the role. Prepare to discuss your hands-on experience with these technologies, including any projects where you've managed or improved data platforms.
✨Emphasise Problem-Solving Abilities
The job requires strong problem-solving skills. Be ready to tackle hypothetical scenarios during the interview. Think about how you would approach common issues in data engineering and articulate your thought process clearly.
✨Stay Updated on Industry Trends
With a focus on AI innovation and modern cloud-based ecosystems, it's crucial to stay informed about the latest trends. Mention any recent developments in AI or data engineering that excite you, and how they could impact the role you're applying for.
