At a Glance
- Tasks: Design and implement data models using Medallion architecture on Databricks.
- Company: Join a high-impact data engineering team at iO Associates.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and efficiency.
- Why this job: Shape the future of data management with cutting-edge technology.
- Qualifications: Experience in Databricks, PySpark, and Delta Lake required.
The predicted salary is between 60000 - 80000 £ per year.
iO Associates is seeking an experienced Data Modeller to join a high-impact data engineering team focused on a Lakehouse platform built on Databricks. The ideal candidate will design and implement robust data models using Medallion architecture to ensure efficient data flow.
This hands-on role expects strong technical skills, particularly in Databricks, PySpark, and Delta Lake, while also requiring collaboration with both engineering and business stakeholders.
Join us to shape the future of data management!
Medallion Data Architect on Lakehouse Databricks employer: IO Associates
At iO Associates, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Medallion Data Architect, you will not only have the opportunity to work with cutting-edge technologies like Databricks and Delta Lake but also benefit from continuous professional development and collaborative projects that drive innovation. Join us in our vibrant location, where your contributions will directly impact the future of data management and be part of a team that values creativity and growth.
StudySmarter Expert Advice🤫
We think this is how you could land Medallion Data Architect on Lakehouse Databricks
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space, especially those working with Databricks. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Medallion architecture, PySpark, and Delta Lake. This is your chance to demonstrate your hands-on experience and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on common data modelling questions and scenarios. We recommend practising with friends or using mock interview platforms to build your confidence.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Medallion Data Architect on Lakehouse Databricks
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks, PySpark, and Delta Lake. We want to see how your skills align with the Medallion architecture and data modelling, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our high-impact data engineering team.
Showcase Your Technical Skills:In your application, be specific about your technical expertise. Mention any projects or experiences where you’ve successfully implemented data models or worked with Lakehouse platforms. We love seeing real-world examples!
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 to shape the future of data management!
How to prepare for a job interview at IO Associates
✨Know Your Medallion Architecture
Make sure you understand the Medallion architecture inside out. Be ready to discuss how you've implemented it in past projects and how it can optimise data flow on a Lakehouse platform. This will show your technical prowess and your ability to apply theory to practice.
✨Show Off Your Databricks Skills
Brush up on your Databricks knowledge before the interview. Be prepared to talk about specific features you've used, such as Delta Lake and PySpark. If possible, bring examples of how you've leveraged these tools to solve real-world data challenges.
✨Collaboration is Key
Since this role involves working with both engineering and business stakeholders, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you bridge the gap between technical and non-technical teams.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data engineering team and the projects they’re working on. This not only shows your interest but also helps you gauge if the company culture aligns with your values.
