At a Glance
- Tasks: Build a modern data lakehouse on Snowflake and migrate legacy workflows.
- Company: Join MediaSense, a forward-thinking company in the heart of London.
- Benefits: Enjoy hybrid working and an extensive holiday package.
- Other info: Ideal for those seeking growth in a dynamic and innovative environment.
- Why this job: Make a real impact in data engineering with cutting-edge technology.
- Qualifications: Strong Python skills, CI/CD experience, and knowledge of Snowflake required.
The predicted salary is between 60000 - 80000 £ per year.
MediaSense is looking for a Senior Data Platform Engineer in London to join their Data & Insights team. This role focuses on building a modern data lakehouse on Snowflake and migrating legacy workflows.
The ideal candidate will have:
- Strong Python skills
- CI/CD and release management experience
- Hands-on knowledge of Snowflake
Benefits include hybrid working and an extensive holiday package. A strong academic background in relevant fields is preferred, along with communication and ownership skills.
Senior Data Platform Engineer — Hybrid, Snowflake & CI/CD employer: mediasense
Mediasense is an exceptional employer that values strategic thinking and creativity, offering a dynamic work environment in the heart of London. With a hybrid work model and a strong focus on professional development, employees are encouraged to grow their skills while optimising agency relationships and enhancing commercial effectiveness. Join us to be part of a collaborative culture that prioritises innovation and efficiency in agency operations.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer — Hybrid, Snowflake & CI/CD
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at MediaSense. A friendly chat can sometimes lead to insider info or even a referral, which can give you a leg up in the hiring process.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects showcasing your Python and CI/CD expertise, make sure to highlight that. It’s a great way to demonstrate your hands-on knowledge of Snowflake and other relevant tools.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Be ready to discuss how you’ve taken ownership of past projects and how you can contribute to building that modern data lakehouse. Confidence is key!
✨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 team at MediaSense.
We think you need these skills to ace Senior Data Platform Engineer — Hybrid, Snowflake & CI/CD
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Snowflake, Python, and CI/CD. We want to see how your skills match 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 excited about the Senior Data Platform Engineer role at MediaSense and how your background makes you a perfect fit for the team.
Show Off Your Communication Skills:Since this role requires strong communication skills, make sure your application reflects that. Keep your language clear and concise, and don’t forget to demonstrate your ownership mindset in your 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 don’t miss out on any important updates from our team!
How to prepare for a job interview at mediasense
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss how you've used it in past projects, especially in building data lakehouses or migrating workflows. This will show that you’re not just familiar with the tool but can leverage it effectively.
✨Show Off Your Python Skills
Prepare to demonstrate your Python expertise. Think of specific examples where you've used Python for data engineering tasks. You might even want to bring a small project or code snippet to discuss, as this can really highlight your hands-on experience.
✨CI/CD Experience is Key
Since the role involves CI/CD and release management, be ready to talk about your experience in these areas. Discuss the tools you've used, the processes you've implemented, and any challenges you've overcome. This will help them see you as a proactive problem-solver.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical team members. Being able to convey your ideas clearly will set you apart from other candidates.
