At a Glance
- Tasks: Join our team to enhance data platforms and support data operations.
- Company: Be part of the iconic Mercedes AMG Petronas F1 team, a leader in motorsport technology.
- Benefits: Enjoy a dynamic work environment with opportunities for innovation and growth.
- Why this job: Make a real impact in a fast-paced setting while working with cutting-edge technology.
- Qualifications: Passion for data and experience in data engineering or related fields required.
- Other info: Collaborate across disciplines and technologies in a thrilling digital landscape.
The predicted salary is between 43200 - 72000 £ per year.
Our Core Technology Team is seeking a passionate and determined Data Platform Engineer. In this role, you will collaborate across disciplines and technologies to enhance platforms and services that support data operations. Your focus will be on developing innovative capabilities that integrate diverse data sets, enabling data-driven decisions to improve performance. This position offers the opportunity to thrive in a fast-paced, dynamic digital environment where your passion for data can make a significant impact.
Data Platform Engineer - Mercedes AMG Petronas F1 employer: iWorkinSport
Contact Detail:
iWorkinSport Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer - Mercedes AMG Petronas F1
✨Tip Number 1
Familiarise yourself with the latest data technologies and platforms relevant to the role. Being well-versed in tools like Apache Kafka, Spark, or cloud services such as AWS and Azure can set you apart from other candidates.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of how you've tackled complex data challenges in the past. Be ready to discuss specific projects where your contributions led to measurable improvements.
✨Tip Number 3
Network with professionals in the motorsport and data engineering fields. Attend industry events or join online forums to connect with current employees at Mercedes AMG Petronas F1, which could provide valuable insights and potentially a referral.
✨Tip Number 4
Demonstrate your passion for data and motorsport during interviews. Research the team's recent projects and be prepared to discuss how your skills can contribute to their goals, showing that you're not just interested in the job, but also in the team's mission.
We think you need these skills to ace Data Platform Engineer - Mercedes AMG Petronas F1
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Data Platform Engineer position. Understand the key responsibilities and required skills, such as collaboration across disciplines and data integration.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the role. Emphasise any previous work with data platforms, innovative projects, or collaborative efforts in a tech environment.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and your understanding of the fast-paced digital environment at Mercedes AMG Petronas F1. Mention specific examples of how you have contributed to data-driven decisions in past roles.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at iWorkinSport
✨Show Your Passion for Data
Make sure to express your enthusiasm for data and how it drives decision-making. Share examples of past projects where you used data to improve performance, as this will resonate well with the team at Mercedes AMG Petronas F1.
✨Demonstrate Technical Proficiency
Be prepared to discuss the technologies and tools you have experience with. Highlight your skills in data integration and platform development, as these are crucial for the role. Consider bringing a portfolio or examples of your work to showcase your capabilities.
✨Collaborative Mindset
Since the role involves collaboration across disciplines, emphasise your ability to work well in teams. Share experiences where you successfully collaborated with others to achieve a common goal, particularly in fast-paced environments.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills. Think of scenarios where you had to troubleshoot data issues or innovate solutions under pressure. Articulating your thought process clearly will demonstrate your analytical abilities.