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- Tasks: Design and maintain scalable data pipelines using top-notch tools.
- Company: Join a vibrant fintech platform with a remote-first culture.
- Benefits: Enjoy wellbeing perks, personal growth opportunities, and a balanced work-life setup.
- Why this job: Make an impact in the fintech world while working remotely.
- Qualifications: Strong SQL skills, Python proficiency, and knowledge of ETL processes.
- Other info: Dynamic team environment with great career advancement potential.
The predicted salary is between 50000 - 70000 £ per year.
A licensed UK Payment Institution is looking for a vibrant Data Engineer to join their dynamic team. This role involves designing, implementing, and maintaining scalable data pipelines using tools like Airflow, Airbyte, DBT, and Snowflake.
Candidates should have strong skills in SQL, proficiency in Python, as well as familiarity with ETL processes and data modeling techniques.
The company offers a remote-first work setup, emphasis on personal growth, and various wellbeing benefits to ensure a balanced work-life environment.
Data Engineer - Remote Fintech Platform employer: Noda
Contact Detail:
Noda Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Remote Fintech Platform
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, SQL queries, and any projects using Airflow or Snowflake. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ETL processes. Practice coding challenges and be ready to discuss your approach to data modelling. Confidence in your skills can make all the difference!
✨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 Data Engineer - Remote Fintech Platform
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you’ve used these tools in real projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention your experience with data pipelines and any tools like Airflow or Snowflake that you’ve worked with. It helps us see how you fit into our vibrant team!
Be Yourself: We’re looking for someone who’s not just skilled but also a great cultural fit. Let your personality shine through in your application. Share your passion for data engineering and how you approach problem-solving.
Apply Through Our Website: For the best chance of joining our dynamic team, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Noda
✨Know Your Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Airflow, Airbyte, DBT, and Snowflake. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of their functionalities.
✨Showcase Your SQL and Python Skills
Prepare to demonstrate your SQL and Python skills during the interview. You might be asked to solve a problem or write a query on the spot, so brush up on your coding skills and be ready to explain your thought process clearly.
✨Understand ETL Processes and Data Modelling
Familiarise yourself with ETL processes and data modelling techniques. Be prepared to discuss how you’ve implemented these in previous roles, as well as any challenges you faced and how you overcame them. This will highlight your problem-solving abilities.
✨Emphasise Personal Growth and Wellbeing
Since the company values personal growth and wellbeing, think about how you can contribute to a positive work environment. Share examples of how you prioritise work-life balance and continuous learning, which will resonate well with their company culture.