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- Tasks: Lead and deliver complex data projects while mentoring junior staff.
- Company: Dynamic consultancy in Greater London with a focus on innovation.
- Benefits: Competitive salary, annual bonus, and flexible hybrid work options.
- Why this job: Make an impact by designing data solutions and engaging with clients.
- Qualifications: Strong technical skills in data engineering and experience in client engagement.
- Other info: Enjoy a flexible work environment with opportunities for professional growth.
The predicted salary is between 55000 - 70000 £ per year.
A dynamic consultancy in Greater London is looking for a Senior Data Engineering Consultant. You will lead and deliver complex data projects, leveraging your technical skills in data engineering. The role involves client engagement, designing data solutions, and mentoring junior staff.
A competitive salary of £55,000-£70,000 is provided, along with an annual bonus and other perks. This hybrid position offers flexibility with occasional office visits required.
Senior Data Engineer: Lead Data Solutions (Hybrid) employer: Fynity
Contact Detail:
Fynity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Lead Data Solutions (Hybrid)
✨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 Senior Data Engineer role. You never know who might have the inside scoop on opportunities or can refer you directly.
✨Tip Number 2
Showcase your skills! When you get the chance to chat with potential employers, be ready to discuss your past projects and how you've tackled complex data challenges. This is your moment to shine and demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by researching the company and its clients. Understand their data needs and think about how you can contribute to their projects. Tailoring your responses to their specific challenges will set you apart from the competition.
✨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 team and helps us keep track of your application.
We think you need these skills to ace Senior Data Engineer: Lead Data Solutions (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that match the Senior Data Engineer role. Highlight your technical expertise in data engineering and any relevant projects you've led.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this consultancy role. Share your passion for data solutions and how your experience aligns with our needs, especially in client engagement and mentoring.
Showcase Your Projects: Include examples of complex data projects you've worked on. We want to see how you've tackled challenges and delivered results, so don't hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at Fynity
✨Know Your Data Engineering Stuff
Make sure you brush up on your technical skills related to data engineering. Be ready to discuss your experience with data solutions, tools, and methodologies you've used in past projects. This is your chance to showcase your expertise!
✨Showcase Your Leadership Skills
Since the role involves mentoring junior staff, be prepared to share examples of how you've led teams or projects in the past. Highlight your ability to guide others and foster a collaborative environment.
✨Engage with Client Scenarios
Expect questions about client engagement and how you handle project requirements. Think of specific instances where you've successfully interacted with clients to deliver data solutions. This will demonstrate your communication skills and client-focused approach.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data projects and their approach to consultancy. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
