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- Tasks: Enhance data integration pipelines and ensure seamless data experiences for users.
- Company: Prestigious ride-hailing service in London with a fast-growing culture.
- Benefits: Competitive salary, stock options, and flexible working hours.
- Why this job: Join a dynamic team and make an impact in the data engineering field.
- Qualifications: Over three years in data engineering, proficient in SQL and Python.
- Other info: Exceptional culture with opportunities for growth in a thriving environment.
The predicted salary is between 36000 - 60000 £ per year.
A prestigious ride-hailing service in London seeks a Data Engineer to join its team. The role involves enhancing data integration pipelines, ensuring code quality, and providing business users with seamless data experiences.
Ideal candidates have over three years in data engineering, proficiency in SQL and Python, and hold a technical degree.
The company offers competitive salaries, stock options, and flexibility in working hours, creating an exceptional culture in a fast-growing environment.
Data Engineer: Scalable Pipelines & ML Ops, Flexible Hours employer: Wheely Ltd.
Contact Detail:
Wheely Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Scalable Pipelines & ML Ops, Flexible Hours
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give us the inside scoop on the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your experience with SQL and Python. This hands-on approach can really impress during interviews and show us what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data engineering interview questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
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 Data Engineer: Scalable Pipelines & ML Ops, Flexible Hours
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with SQL and Python. 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 excited about this Data Engineer position and how you can enhance our data integration pipelines. Let us know what makes you a great fit for our team.
Showcase Your Technical Skills: Since we’re looking for someone with a solid technical background, make sure to include any relevant certifications or courses you've completed. If you’ve worked on scalable pipelines or ML Ops, give us the details!
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 Wheely Ltd.
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've enhanced data integration pipelines or ensured code quality. This will show that you not only have the technical know-how but also practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles and how you tackled them. Think of examples where you provided seamless data experiences for business users. This will demonstrate your ability to think critically and adapt in a fast-growing environment.
✨Understand the Company Culture
Research the ride-hailing service's values and culture. Be ready to explain why you want to work there and how you align with their mission. Showing that you fit into their exceptional culture can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and future projects. This not only shows your interest in the position but also gives you a chance to assess if the company is the right fit for you. Remember, interviews are a two-way street!
