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- Tasks: Design and implement data warehouse schemas and build data quality frameworks for financial data.
- Company: Leading tech firm offering a fully remote contract role.
- Benefits: Competitive compensation of £600 - £650 per day.
- Why this job: Join a dynamic team and make an impact in the financial data space.
- Qualifications: 4+ years of experience, strong SQL skills, and proficiency in BI tools.
- Other info: Great opportunity for career growth in data engineering.
The predicted salary is between 120000 - 156000 £ per year.
A leading tech firm is seeking a Mid-Senior Data Engineer for a fully remote contract role. You will design and implement data warehouse schemas and build data quality frameworks for financial data.
Ideal candidates have:
- 4+ years of experience
- Strong SQL skills
- Proficiency in BI tools
The position offers competitive compensation of £600 - £650 per day, making it an excellent opportunity for professionals in data engineering and financial markets.
Senior Data Engineer: Financial Data Pipelines Lead employer: Toucanberry Tech
Contact Detail:
Toucanberry Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Financial Data Pipelines Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work in financial markets. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving data warehouse schemas and BI tools. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL skills and understanding financial data pipelines. Practice common interview questions and have examples ready that highlight your experience and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data engineers like you. Plus, it’s a great way to ensure your application gets noticed!
We think you need these skills to ace Senior Data Engineer: Financial Data Pipelines Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and financial data specifically. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL prowess and any BI tools you’ve worked with.
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 Senior Data Engineer role. Share specific examples of your past work that relate to designing data warehouse schemas and building data quality frameworks.
Showcase Relevant Projects: If you’ve worked on projects that involved financial data pipelines or similar tasks, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work where possible.
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 makes the process smoother for everyone!
How to prepare for a job interview at Toucanberry Tech
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of financial data pipelines. Brush up on your SQL skills and be ready to discuss how you've designed and implemented data warehouse schemas in the past. Being able to share concrete examples will show your expertise.
✨Showcase Your BI Tool Proficiency
Familiarise yourself with the BI tools mentioned in the job description. Be prepared to discuss how you've used these tools to enhance data quality frameworks. If possible, bring along a portfolio or examples of your work to demonstrate your capabilities.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills in data engineering. Practice common scenarios you might face in the role, such as optimising data flows or troubleshooting data quality issues. This will help you feel more confident during the interview.
✨Understand the Company’s Financial Focus
Research the tech firm and its position in the financial market. Understanding their products and services will allow you to tailor your answers and show how your experience aligns with their goals. It also demonstrates your genuine interest in the company.
