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- Tasks: Drive data transformation by developing robust data pipelines and collaborating with Data Scientists.
- Company: Leading airline company based in Greater London with a focus on innovation.
- Benefits: Hybrid working model, flexible hours, and opportunities for mentorship.
- Why this job: Join a dynamic team and make a real impact in the airline industry through data.
- Qualifications: Experience with Databricks, Python, SQL, and mentoring skills required.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading airline company based in Greater London is hiring a Senior Platform Data Engineer to drive data transformation initiatives. The role involves developing robust data pipelines and working closely with Data Scientists to deliver value from data analysis.
Key skills include:
- Hands-on experience with Databricks
- Python
- SQL
- The ability to mentor a team
The position offers a hybrid working model, where you will work collaboratively with colleagues while enjoying flexible hours.
Lead Data Platform Engineer – Spark, Databricks & ML in London employer: easyJet Airline Company PLC
Contact Detail:
easyJet Airline Company PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Platform Engineer – Spark, Databricks & ML in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the airline company 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 portfolio or a project that highlights your experience with Databricks, Python, and SQL. This will help us stand out during interviews and demonstrate our hands-on expertise.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on data pipeline concepts and ML principles. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match the job description perfectly.
We think you need these skills to ace Lead Data Platform Engineer – Spark, Databricks & ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Python, and SQL. 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 transformation and how you can contribute to our team. Let us know what excites you about this role and the company.
Showcase Your Mentoring Skills: Since mentoring is key for this role, share examples of how you've supported others in their learning journey. We love seeing candidates who can uplift their teammates while driving results!
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. Plus, it’s super easy!
How to prepare for a job interview at easyJet Airline Company PLC
✨Know Your Tech Inside Out
Make sure you brush up on your skills with Databricks, Python, and SQL. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Mentoring Skills
Since the role involves mentoring a team, think of examples where you've successfully guided others. Prepare to share how you approach mentoring and what strategies you use to help your team grow.
✨Understand the Business Context
Research the airline industry and understand how data transformation initiatives can drive value for the company. Being able to connect your technical skills to real-world applications will impress your interviewers.
✨Prepare for Collaborative Scenarios
Given the hybrid working model, be ready to discuss how you work in teams, especially with Data Scientists. Think of examples that highlight your collaborative spirit and how you ensure effective communication in a flexible work environment.
