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For Companies At a Glance
- Tasks: Lead the design and delivery of scalable data products and oversee a high-performing team.
- Company: Boutique data consultancy in Greater London with a focus on innovation.
- Benefits: Hybrid work model and excellent growth opportunities.
- Why this job: Make a real impact by leading data engineering projects and building strong client relationships.
- Qualifications: Experience in data engineering, pipeline design, and client-facing roles, plus cloud expertise.
- Other info: Join a dynamic team and elevate your career in a supportive environment.
The predicted salary is between 54000 - 84000 £ per year.
A boutique data consultancy in Greater London is looking for a Data Engineering Manager to lead the design and delivery of data products. You will take ownership of technical delivery, oversee a high-performing team, and maintain strong client relationships.
Ideal candidates should have experience in data engineering, including data pipeline design and client-facing roles, along with expertise in cloud platforms such as AWS or Azure. This role offers hybrid work and excellent growth opportunities.
Senior Data Engineering Lead — Build Scalable Pipelines employer: LOOP HORIZON
Contact Detail:
LOOP HORIZON Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineering Lead — Build Scalable Pipelines
✨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 lookout for opportunities. A personal recommendation can go a long way in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving data pipeline design and cloud platforms like AWS or Azure. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience leading teams and managing client relationships, as these are key aspects of the Senior Data Engineering Lead role.
✨Tip Number 4
Don't forget to apply through our website! We have plenty of exciting opportunities waiting for you, and applying directly can help you stand out from the crowd. Let's get you that job!
We think you need these skills to ace Senior Data Engineering Lead — Build Scalable Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and pipeline design. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Data Engineering Lead position. Share specific examples of your leadership and client-facing experiences that relate to the job.
Showcase Your Technical Skills: Since this role involves cloud platforms like AWS or Azure, make sure to mention any relevant certifications or projects. We love seeing candidates who can demonstrate their technical prowess in a clear and concise way.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at LOOP HORIZON
✨Know Your Data Inside Out
Make sure you brush up on your data engineering knowledge, especially around pipeline design and cloud platforms like AWS or Azure. Be ready to discuss specific projects you've worked on and the challenges you faced—this will show your depth of experience.
✨Showcase Your Leadership Skills
As a Senior Data Engineering Lead, you'll need to demonstrate your ability to manage a high-performing team. Prepare examples of how you've successfully led teams in the past, focusing on your approach to mentoring and fostering collaboration.
✨Client Relationships Matter
Since this role involves maintaining strong client relationships, think of instances where you've effectively communicated with clients or stakeholders. Highlight your ability to translate technical jargon into layman's terms, ensuring everyone is on the same page.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on your knowledge of data products and be prepared to solve problems on the spot. Practising common data engineering scenarios can help you feel more confident and ready to impress.
