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- Tasks: Own and evolve our data warehouse and production pipelines to enhance data integrity.
- Company: Pixaera, a forward-thinking company focused on frontline worker safety.
- Benefits: Competitive salary, stock options, and a diverse, collaborative culture.
- Why this job: Shape the future of safety in high-risk industries while working with cutting-edge technology.
- Qualifications: Strong Python and SQL skills, plus AWS experience required.
The predicted salary is between 60000 - 80000 £ per year.
Pixaera is seeking a senior Data Engineer to enhance our core data platform. You will own and evolve the data warehouse and production pipelines, ensuring data integrity and aiding product outcomes. This role demands strong Python and SQL skills, with AWS experience required.
We offer competitive salary, stock options, and a collaborative culture that values diversity. Join us in shaping the future of frontline worker safety in high-risk industries.
Senior Data Engineer — AWS, Snowflake & DBT, Stock Options in London employer: Pixaera
Contact Detail:
Pixaera Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — AWS, Snowflake & DBT, Stock Options in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Pixaera on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your Python and SQL expertise. When you get the chance to chat with the team, having something tangible to discuss can set you apart from the crowd.
✨Tip Number 3
Be ready for technical interviews! Brush up on AWS, Snowflake, and DBT concepts. Practising common data engineering problems will help you feel confident and ready to tackle any questions they throw your way.
✨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, it shows you’re genuinely interested in joining the Pixaera team.
We think you need these skills to ace Senior Data Engineer — AWS, Snowflake & DBT, Stock Options in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Snowflake, and DBT. We want to see how your skills align with the role, so don’t be shy about showcasing your Python and SQL expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our mission of enhancing frontline worker safety. Keep it engaging and personal.
Showcase Your Projects: If you've worked on relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to data integrity and production pipelines.
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 at Pixaera!
How to prepare for a job interview at Pixaera
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Snowflake, and DBT. Brush up on your Python and SQL skills, as these will likely be key topics during the interview. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data integrity issues or optimised production pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand Their Mission
Familiarise yourself with Pixaera’s focus on frontline worker safety in high-risk industries. Think about how your role as a Data Engineer can contribute to this mission and be ready to discuss your ideas on enhancing their data platform.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company culture and the team dynamics. Inquire about their approach to diversity and collaboration, as well as how they envision the evolution of their data warehouse.