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- Tasks: Build reliable data pipelines and enhance operations for a leading AI platform.
- Company: Innovative AI platform provider based in Greater London.
- Benefits: Competitive salary, opportunities for personal growth, and a collaborative work environment.
- Why this job: Join a forward-thinking team and make a real impact in the AI industry.
- Qualifications: Bachelor’s degree in Computer Science and 3+ years of experience in Python and SQL.
- Other info: Dynamic role with a focus on innovation and career development.
The predicted salary is between 50000 - 60000 £ per year.
A leading AI platform provider in Greater London is looking for a Data Engineer to build reliable data pipelines for their Operations and SRE teams. You will collaborate closely to enhance operations and streamline data management.
Essential qualifications include:
- A Bachelor’s degree in Computer Science
- 3+ years of relevant experience
- Proficiency in Python and SQL
This role supports a company committed to innovation and personal growth.
Data Engineer - Dataiku Cloud Pipelines & Automation in London employer: Dataiku
Contact Detail:
Dataiku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Dataiku Cloud Pipelines & Automation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at companies you're eyeing. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines or any relevant projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer - Dataiku Cloud Pipelines & Automation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our innovative team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've tackled in previous roles. We love seeing how you approach problems and find solutions, especially in data management and operations.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Dataiku
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built data pipelines or automated processes, as this will show your hands-on experience and technical prowess.
✨Understand the Company’s Vision
Research the AI platform provider and their commitment to innovation and personal growth. Being able to articulate how your values align with theirs can set you apart and demonstrate your genuine interest in the role.
✨Prepare for Collaboration Questions
Since you'll be working closely with Operations and SRE teams, think of examples that showcase your teamwork skills. Prepare to discuss how you've successfully collaborated on projects in the past and how you handle differing opinions.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the current challenges the team faces or how they measure success in data management. This shows your proactive attitude and eagerness to contribute.