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- Tasks: Lead exciting data projects and design innovative solutions for diverse clients.
- Company: Fast-growing boutique consultancy in Greater London with a dynamic team.
- Benefits: Competitive salary, annual bonuses, private medical, and flexible hybrid work options.
- Why this job: Make a real impact by leading data initiatives and building client relationships.
- Qualifications: Hands-on experience in data modelling and project delivery required.
- Other info: Join a vibrant environment with opportunities for professional growth.
The predicted salary is between 55000 - 70000 £ per year.
A fast-growing boutique consultancy in Greater London is seeking a Senior Data Engineering Consultant to lead data projects for various clients. This role demands hands-on technical skills, particularly in data modelling and project delivery.
You will engage with clients, forge relationships, and design data solutions utilizing tools like MS Fabric, Databricks, and Snowflake.
Offering a competitive salary between £55,000-£70,000, annual bonuses, private medical, and a hybrid work model with flexible remote options.
Senior Data Engineering Consultant | Lead Projects (Hybrid) employer: Fynity
Contact Detail:
Fynity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineering Consultant | Lead Projects (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 lookout for opportunities. You never know who might have a lead or can refer you to a consultancy looking for someone just like you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data modelling and tools like MS Fabric, Databricks, and Snowflake. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've led projects and engaged with clients in the past. We want to see how you can forge relationships and deliver results!
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineering Consultant | Lead Projects (Hybrid)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on technical skills in data modelling and project delivery. We want to see how you’ve used tools like MS Fabric, Databricks, and Snowflake in your previous roles.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Senior Data Engineering Consultant role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Engage with Us: In your application, let us know how you plan to engage with clients and forge relationships. We value strong communication skills, so share examples of how you've successfully collaborated with clients in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Fynity
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like MS Fabric, Databricks, and Snowflake. Brush up on your data modelling skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Project Delivery Experience
Prepare to talk about specific projects you've led or contributed to. Highlight your role in project delivery, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities.
✨Engage with Clients in Mind
Since this role involves client interaction, think of examples where you've successfully built relationships or communicated complex data solutions to non-technical stakeholders. This shows you can bridge the gap between technical and business needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the consultancy's approach to data projects and their client base. This not only shows your interest but also helps you gauge if the company aligns with your career goals and values.
