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- Tasks: Lead and deliver exciting data projects in the cloud technology sector.
- Company: Dynamic consultancy specialising in innovative data solutions.
- Benefits: Competitive salary, bonuses, flexible remote work, and mentoring opportunities.
- Why this job: Make a real impact while working with cutting-edge data technologies.
- Qualifications: Strong technical skills in data engineering and client-facing experience.
- Other info: Thriving environment with opportunities for professional growth.
The predicted salary is between 70000 - 80000 £ per year.
A consultancy specializing in data solutions seeks a Principal Data Engineering Consultant to lead and deliver data projects in the cloud technology sector. The role requires strong technical skills in data engineering, integration, and tools like SQL and Snowflake.
The position offers a competitive salary of £70,000-£80,000 plus bonuses, flexible remote work options, and the chance to mentor junior staff. The ideal candidate will thrive in a client-facing environment and be adaptable to varied technologies.
Lead Data Engineering Consultant in London employer: Fynity
Contact Detail:
Fynity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineering Consultant 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 Lead Data Engineering Consultant role. You never know who might have the inside scoop on an opportunity!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your past data projects, especially those involving SQL and Snowflake. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on client-facing scenarios and how you've adapted to different technologies in your previous roles.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can give you a better chance of landing that dream job. Plus, it shows your enthusiasm for joining our team!
We think you need these skills to ace Lead Data Engineering Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and cloud technologies. We want to see how your skills with SQL and Snowflake can shine through, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your past projects and how they relate to the consultancy work we do at StudySmarter.
Showcase Your Client-Facing Skills: Since this role involves working closely with clients, make sure to highlight any relevant experience you have in client interactions. We love to see how you’ve successfully navigated client relationships in the past!
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 our team!
How to prepare for a job interview at Fynity
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in data engineering tools like SQL and Snowflake. Be prepared to discuss your experience with these technologies and how you've used them in past projects.
✨Showcase Your Leadership Skills
As a Lead Data Engineering Consultant, you'll be expected to mentor junior staff. Think of examples where you've successfully led a team or project, and be ready to share how you can inspire and guide others.
✨Understand the Consultancy Landscape
Familiarise yourself with the consultancy's approach to data solutions. Research their recent projects and clients, and be prepared to discuss how your skills can add value to their existing offerings.
✨Prepare for Client-Facing Scenarios
Since the role is client-facing, practice articulating complex data concepts in simple terms. Prepare for questions about how you would handle client interactions and ensure you convey your adaptability to varied technologies.
