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For Companies At a Glance
- Tasks: Build and optimise data models while managing data governance issues.
- Company: Leading tech company in Greater London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and work with modern tools like Snowflake and Airflow.
- Qualifications: Extensive experience in Data Modelling, Python, AWS, and SQL required.
- Other info: Collaborate with stakeholders to enhance data quality and drive best practices.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company in Greater London is seeking a Senior Data Engineer to contribute to their Data Engineering team. In this hybrid role, you will work on building and optimising data models, manage data governance issues, and collaborate with various stakeholders to enhance data quality.
Ideal candidates should have extensive experience in:
- Data Modelling
- Python
- AWS
- SQL
This is an exciting opportunity to work with modern tools like Snowflake and Airflow, driving best practices across data disciplines.
Senior Data Engineer: Snowflake, ETL & Real-Time Analytics in London employer: PowerToFly
Contact Detail:
PowerToFly Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Snowflake, ETL & Real-Time Analytics in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. 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 projects, especially those involving Snowflake, ETL processes, and real-time analytics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, AWS, and SQL, and think of examples where you've improved data quality or optimised data models.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer: Snowflake, ETL & Real-Time Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Data Modelling, Python, AWS, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Data Engineer position and how you can contribute to our team. Let us know what makes you tick in the world of data.
Showcase Your Projects: If you've worked on any cool projects involving Snowflake or Airflow, make sure to mention them! We love seeing real-world applications of your skills, so share those experiences that demonstrate your expertise.
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. Don’t miss out!
How to prepare for a job interview at PowerToFly
✨Know Your Tech Stack
Make sure you’re well-versed in Snowflake, ETL processes, and real-time analytics. Brush up on your Python, AWS, and SQL skills, as these will likely come up during technical questions. Being able to discuss your experience with these tools confidently will impress the interviewers.
✨Showcase Your Data Modelling Skills
Prepare to discuss specific data models you've built or optimised in the past. Be ready to explain your thought process and the impact of your work on data quality and governance. Real-world examples will help demonstrate your expertise and problem-solving abilities.
✨Collaboration is Key
Since this role involves working with various stakeholders, be prepared to talk about your experience collaborating with different teams. Highlight any instances where you’ve successfully enhanced data quality through teamwork, as this shows you can communicate effectively and drive best practices.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data challenges or how they implement best practices across data disciplines. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
