At a Glance
- Tasks: Architect and develop data systems while optimising data pipelines.
- Company: Falcon Smart IT, a leader in innovative data solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Ideal for those with a background in financial services and data stack technologies.
- Why this job: Join a dynamic team and shape the future of data technology.
- Qualifications: 12+ years of Python experience and strong AWS knowledge required.
The predicted salary is between 80000 - 100000 £ per year.
Falcon Smart IT (FalconSmartIT) is seeking a skilled professional for a hybrid position in London focused on architecting and developing data systems. The role demands 12+ years of Python experience, strong AWS knowledge, and familiarity with Snowflake and data stack technologies.
Key responsibilities include:
- Developing metadata management processes
- Ensuring the performance of data pipelines
Ideal candidates will have exposure to tools like Apache Airflow and a background in financial services.
Senior Data Engineer (Hybrid) - AWS, Snowflake, Python employer: Falcon Smart IT (FalconSmartIT)
Falcon Smart IT is an exceptional employer that fosters a collaborative and innovative work culture, ideal for professionals seeking to make a significant impact in the data engineering field. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work with cutting-edge technologies in a vibrant London setting. Our hybrid work model ensures flexibility while maintaining a supportive team environment, making it a rewarding place to advance your career.
Contact Details:
Falcon Smart IT (FalconSmartIT) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Hybrid) - AWS, Snowflake, Python
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS and Snowflake. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you'd tackle performance issues in data pipelines or manage metadata. We want you to feel confident and ready to impress!
✨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 Engineer (Hybrid) - AWS, Snowflake, Python
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your 12+ years of Python experience and showcases your strong AWS knowledge. We want to see how your skills align with the role, so don’t be shy about mentioning your familiarity with Snowflake and any relevant data stack technologies.
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, especially around developing metadata management processes and optimising data pipelines.
Showcase Relevant Experience:If you’ve worked with tools like Apache Airflow or have a background in financial services, make sure to highlight that in your application. We love seeing candidates who can bring that extra edge to our team!
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 the role. Plus, it’s super easy to do!
How to prepare for a job interview at Falcon Smart IT (FalconSmartIT)
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, AWS, and Snowflake. Brush up on your knowledge of data stack technologies and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in developing data systems and how you overcame them. Use examples from your experience, especially in financial services, to demonstrate your ability to architect solutions and manage metadata processes.
✨Familiarise Yourself with Apache Airflow
If you’ve worked with Apache Airflow, be ready to talk about it! If not, do some quick research on its functionalities and how it integrates with data pipelines. Showing that you understand this tool can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data architecture and future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a two-way street!
