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- Tasks: Design and implement data pipelines to enhance financial data capabilities.
- Company: Dynamic financial technology company based in Greater London.
- Benefits: Flexible hybrid working model with collaboration opportunities.
- Why this job: Join a forward-thinking team and make an impact on financial data governance.
- Qualifications: Over 2 years of experience in data engineering and strong SQL skills.
- Other info: Great opportunity for career growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A financial technology company in Greater London is seeking an experienced Analytics Engineer to enhance their financial data capabilities. You will design and implement data pipelines, ensuring data integrity and compliance.
The ideal candidate has over 2 years of experience in data engineering and proficiency in SQL. This role offers a hybrid working model providing flexibility and collaboration opportunities.
Analytics Engineer - Data Pipelines & Governance (Hybrid) employer: Checkout.com
Contact Detail:
Checkout.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer - Data Pipelines & Governance (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the financial tech space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and any projects you've worked on. This is your chance to demonstrate your SQL prowess and how you ensure data integrity and compliance.
✨Tip Number 3
Prepare for those interviews! Brush up on common analytics engineer questions and be ready to discuss your experience with data governance. We recommend practising with a friend or using mock interview platforms.
✨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 about their job search!
We think you need these skills to ace Analytics Engineer - Data Pipelines & Governance (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and SQL. 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 passionate about enhancing financial data capabilities and how your background makes you a perfect fit for our team.
Showcase Your Problem-Solving Skills: As an Analytics Engineer, you’ll face challenges daily. In your application, share examples of how you’ve tackled complex data issues in the past. We love seeing your thought process!
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 Checkout.com
✨Know Your Data Pipelines
Make sure you brush up on your knowledge of data pipelines. Be ready to discuss your previous experiences designing and implementing them, as well as any challenges you faced and how you overcame them.
✨Showcase Your SQL Skills
Since proficiency in SQL is a must for this role, prepare to demonstrate your skills. You might be asked to solve a problem or write a query on the spot, so practice common SQL scenarios beforehand.
✨Understand Compliance and Data Integrity
Familiarise yourself with data governance principles and compliance regulations relevant to the financial sector. Be prepared to discuss how you've ensured data integrity in your past projects.
✨Embrace the Hybrid Model
This role offers a hybrid working model, so think about how you can effectively collaborate in both remote and in-office settings. Share examples of how you've successfully worked in a hybrid environment before.
