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- Tasks: Design and implement data pipelines for real-time reporting in a dynamic environment.
- Company: UK-based data consultancy with a focus on innovative solutions.
- Benefits: Flexible remote work, competitive pay, and the chance to enhance your skills.
- Why this job: Make a significant impact in waste management through data-driven insights.
- Qualifications: Experience in data consultancy and engineering, plus finance systems knowledge.
- Other info: 9-month contract with opportunities for growth in a fast-paced setting.
The predicted salary is between 43200 - 72000 £ per year.
A UK-based data consultancy is seeking an interim Data Consultant for a 9-month contract to enhance data architecture and reporting for a PE-backed waste management business. The role focuses on designing and implementing data pipelines and creating a robust data warehouse to enable reliable, real-time reporting.
Ideal candidates will have experience in data consultancy, data engineering, and familiarity with finance systems, and should be comfortable working autonomously in fast-paced environments.
Remote Data Warehouse & Reporting Consultant in London employer: Finatal
Contact Detail:
Finatal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Warehouse & Reporting Consultant in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data consultancy world. A quick chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those related to data pipelines and reporting. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising how you’d explain complex concepts simply, as this shows you can communicate effectively in fast-paced environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Remote Data Warehouse & Reporting Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data consultancy and engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or 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 this role. Mention your familiarity with finance systems and how you can enhance data architecture and reporting.
Showcase Your Autonomy: Since the role requires working autonomously, share examples of when you've successfully managed projects on your own. We love seeing candidates who can thrive in fast-paced environments!
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 Finatal
✨Know Your Data Inside Out
Make sure you brush up on your data architecture and reporting skills. Be ready to discuss specific projects where you've designed data pipelines or built data warehouses. Highlight your experience with finance systems, as this will show you're a great fit for the role.
✨Showcase Your Autonomy
Since the role requires working autonomously, prepare examples that demonstrate your ability to manage projects independently. Talk about how you've thrived in fast-paced environments and how you prioritise tasks to meet deadlines without constant supervision.
✨Prepare for Technical Questions
Expect technical questions related to data engineering and reporting tools. Familiarise yourself with common data warehousing concepts and be ready to explain your thought process when solving data-related challenges. This will showcase your expertise and problem-solving skills.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions prepared. Inquire about the company's current data challenges or their vision for the data architecture. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
