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- Tasks: Own data reliability and usability while building end-to-end products with SQL, Python, and Databricks.
- Company: Join RED GATE STORAGE, a leader in innovative data solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on improving data engineering standards.
- Why this job: Tackle complex data challenges and make a real impact in data engineering.
- Qualifications: Proven experience in data engineering and strong skills in data querying and Git.
The predicted salary is between 50000 - 60000 £ per year.
RED GATE STORAGE is looking for a Data Engineer to own the reliability and usability of data while building end-to-end products using SQL, Python, and Databricks. You will tackle complex data challenges, design data pipelines, and improve data engineering standards.
Ideal candidates have proven experience in data engineering and strong skills in data querying and source control solutions like Git.
The work setting is hybrid, with in-office expectations once every two weeks, offering a competitive salary between £50,000 and £60,000 based on experience.
Data Engineer: Databricks, PySpark & Pipelines in Cambridge employer: RED GATE STORAGE
Contact Detail:
RED GATE STORAGE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Databricks, PySpark & Pipelines in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current employees at RED GATE STORAGE on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your work with SQL, Python, and Databricks. This hands-on evidence can really set us apart from the competition.
✨Tip Number 3
Ace the interview by practising common data engineering questions. We can even do mock interviews together to boost our confidence and refine our answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows that we’re genuinely interested in joining the team.
We think you need these skills to ace Data Engineer: Databricks, PySpark & Pipelines in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Databricks. We want to see how you've tackled complex data challenges in the past, so don’t hold back on those details!
Showcase Your Projects: If you've built any data pipelines or worked on relevant projects, include them! We love seeing practical examples of your skills in action, especially if they relate to data engineering standards.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and skills.
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 without any hiccups!
How to prepare for a job interview at RED GATE STORAGE
✨Know Your Tech Stack
Make sure you’re well-versed in SQL, Python, and Databricks. Brush up on your knowledge of data pipelines and be ready to discuss how you've tackled complex data challenges in the past. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've improved data engineering standards or solved tricky data issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you articulate your thought process and demonstrate your analytical skills.
✨Familiarise Yourself with Source Control
Since Git is mentioned in the job description, make sure you can talk about your experience with version control. Be ready to explain how you’ve used Git in previous projects, including branching strategies and collaboration with team members. This shows you understand the importance of source control in data engineering.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data practices, team structure, and future projects. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.