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- Tasks: Join an early-stage startup and build data solutions for multinational firms.
- Company: Exciting startup environment with a focus on innovation and growth.
- Benefits: Competitive salary, equity options, and opportunities for continuous learning.
- Other info: Collaborative culture that values teamwork and problem-solving.
- Why this job: Make a real impact in a dynamic team while developing cutting-edge data technologies.
- Qualifications: Experience in data engineering, cloud computing, and a passion for learning.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a hands-on senior data engineer to work in an early-stage startup providing services to a range of multinational firms.
Technical competencies (covering some if not all of these areas):
- Data Engineering
- Data Warehousing
- Cloud Computing
- Systems Engineering & DevOps expertise
- Machine Learning and AI development
- Full Stack software development
Behavioural competencies:
- Passion for learning new technologies
- Good people skills
- Continuous Learning
- Teamwork & Leadership
- Problem Solving & Results Orientation
- Planning & Organisation
Compensation: Competitive salary depending on experience + equity options.
If you believe to be a good fit for the role, please apply via LinkedIn.
Senior Data Engineer in York employer: RoboCrit
Contact Detail:
RoboCrit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in York
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those who work at startups or in data engineering. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data warehousing or machine learning. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for the interview by brushing up on both technical and behavioural questions. Think about how your passion for learning and teamwork can shine through in your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Engineer in York
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and any relevant technical skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for learning new technologies and how you can contribute to our team. Let us know why you’re excited about this opportunity at StudySmarter.
Showcase Your Projects: If you've worked on any cool projects related to data warehousing or machine learning, make sure to mention them! We love seeing practical examples of your work that demonstrate your problem-solving skills and results orientation.
Apply Through Our Website: While we appreciate applications through LinkedIn, we encourage you to apply directly via our website. This helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at RoboCrit
✨Know Your Tech Inside Out
As a Senior Data Engineer, you'll need to showcase your expertise in data engineering, cloud computing, and machine learning. Brush up on the latest tools and technologies in these areas, and be ready to discuss specific projects where you've applied them.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach common challenges in data engineering, such as optimising data pipelines or ensuring data quality. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Demonstrate Teamwork and Leadership
Since this role involves collaboration with multinational firms, highlight your experience working in teams. Share examples of how you've led projects or mentored others, and emphasise your ability to communicate effectively with both technical and non-technical stakeholders.
✨Emphasise Your Passion for Learning
In an early-stage startup, adaptability is key. Be prepared to discuss how you stay updated with new technologies and trends in data engineering. Mention any relevant courses, certifications, or personal projects that demonstrate your commitment to continuous learning.