At a Glance
- Tasks: Transform analytics infrastructure into a modern Azure-based data platform and mentor the engineering team.
- Company: Edgefolio Group, a forward-thinking company in Greater London.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Enjoy a hybrid work model with 3 days in the London office.
- Why this job: Join a dynamic team and shape the future of data analytics with cutting-edge technology.
- Qualifications: 5+ years in data engineering with expertise in Azure, PostgreSQL, Python, and Terraform.
The predicted salary is between 70000 - 90000 € per year.
Edgefolio Group is seeking a Senior Data Engineer in Greater London to transform their analytics infrastructure into a modern Azure-based data platform. This role involves architecting solutions, establishing data pipelines using CI/CD practices, and mentoring the engineering team.
Candidates should have 5+ years' experience in data engineering and expertise with Azure, PostgreSQL, Python, and Terraform.
The position offers flexible remote work, with 3 days per week in the London office.
Senior Data Platform Architect — Hybrid Azure & DevOps employer: Edgefolio Group
Edgefolio Group is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those looking to make a significant impact in the field of data engineering. With flexible remote work options and a commitment to employee growth through mentorship and skill development, this role offers a unique opportunity to thrive in a dynamic environment while working in the vibrant city of Greater London.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Architect — Hybrid Azure & DevOps
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and DevOps. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, PostgreSQL, and Python. 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 CI/CD practices and data pipeline architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and technical skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Senior Data Platform Architect — Hybrid Azure & DevOps
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure, PostgreSQL, Python, and Terraform. 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 passionate about transforming analytics infrastructure and how your background makes you the perfect fit for our team.
Showcase Your Mentoring Skills:Since mentoring is part of the role, share examples of how you've guided others in your previous positions. We love seeing candidates who can uplift their teams and foster growth!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Edgefolio Group
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Be ready to discuss how you've used Azure in past projects, especially in building data platforms. Highlight specific services you've worked with and how they contributed to successful outcomes.
✨Showcase Your CI/CD Experience
Since this role involves establishing data pipelines using CI/CD practices, be prepared to share examples of how you've implemented these processes. Discuss the tools you used, any challenges you faced, and how you overcame them to ensure smooth deployments.
✨Demonstrate Mentorship Skills
As mentoring the engineering team is part of the job, think of instances where you've guided others. Share stories that illustrate your leadership style and how you helped team members grow their skills, particularly in data engineering.
✨Prepare for Technical Questions
Expect technical questions related to PostgreSQL, Python, and Terraform. Brush up on your coding skills and be ready to solve problems on the spot. Practising common data engineering scenarios can help you feel more confident during the interview.
