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- Tasks: Design and manage a cloud-based data platform while building data pipelines.
- Company: Leading digital services company with a focus on innovation.
- Benefits: Competitive salary, remote work, and professional development opportunities.
- Why this job: Join a motivated team and make an impact with cutting-edge Azure tools.
- Qualifications: Proven experience with Azure data tools and a passion for innovative solutions.
- Other info: Full-time position with excellent career growth potential.
The predicted salary is between 43200 - 72000 £ per year.
A leading digital services company is seeking a Senior Data Engineer to design and manage a cloud-based data platform. The role involves building data pipelines, collaborating with architects, and ensuring data quality while offering the opportunity to work in a remote setting.
Ideal candidates will have proven experience with Azure data tools and a passion for innovative solutions. This full-time position offers a competitive salary and benefits, along with professional development opportunities in a motivated team.
Remote Senior Data Engineer — Azure & Databricks Expert employer: Colibri Digital
Contact Detail:
Colibri Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Senior Data Engineer — Azure & Databricks Expert
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Databricks. 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 best projects, especially those involving cloud-based data platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building data pipelines and ensuring data quality—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to stay updated on new roles that match your skills.
We think you need these skills to ace Remote Senior Data Engineer — Azure & Databricks Expert
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our innovative solutions. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love seeing candidates who can think outside the box and come up with creative solutions!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Colibri Digital
✨Know Your Azure Inside Out
Make sure you brush up on your Azure data tools knowledge. Be prepared to discuss specific projects where you've used Azure and Databricks, highlighting the challenges you faced and how you overcame them.
✨Showcase Your Data Pipeline Skills
Be ready to explain your experience in building data pipelines. Use examples from your past work to illustrate your process, the technologies you used, and how you ensured data quality throughout.
✨Collaboration is Key
Since this role involves working closely with architects, be prepared to talk about your collaborative experiences. Share instances where teamwork led to innovative solutions and how you communicate effectively with different stakeholders.
✨Passion for Innovation
Demonstrate your enthusiasm for innovative solutions in data engineering. Discuss any new technologies or methodologies you've explored and how they could benefit the company’s cloud-based data platform.
