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- Tasks: Deliver data for analytics and collaborate with stakeholders using cutting-edge technologies.
- Company: Join Dataiku, a leader in data engineering and analytics.
- Benefits: Competitive salary, diverse workplace, and opportunities for growth.
- Other info: Be part of a dynamic team in Greater London with a focus on diversity.
- Why this job: Make an impact in the data world with innovative tools like Snowflake and Dataiku.
- Qualifications: 3+ years in Data Engineering, strong SQL and Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Dataiku is seeking a Data Engineer II to join our Enterprise Data and Analytics (EDA) team in Greater London. This role involves delivering data for analytics, collaborating with various stakeholders, and maintaining the Data Platform leveraging technologies like Snowflake and Dataiku.
The ideal candidate has:
- 3+ years of experience in Data Engineering
- Strong expertise in SQL and Python
- Excellent communication skills
Dataiku encourages a diverse workplace and is an equal opportunity employer.
Data Platform Engineer II: GenAI & DataOps in London employer: Dataiku
Contact Detail:
Dataiku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer II: GenAI & DataOps in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Dataiku. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio that highlights your experience with SQL, Python, and any relevant technologies like Snowflake. This will give you a leg up during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering and be ready to discuss your past projects. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Dataiku team. Don’t miss out!
We think you need these skills to ace Data Platform Engineer II: GenAI & DataOps in London
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 the Data Platform Engineer II role at Dataiku and how your background makes you a perfect fit. Let us know what makes you tick!
Showcase Your Communication Skills: Since this role involves collaborating with various stakeholders, it’s important to demonstrate your communication skills. We love seeing examples of how you've effectively worked with others in past projects, so include those in your application!
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 – just follow the prompts!
How to prepare for a job interview at Dataiku
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Snowflake and Dataiku. Brush up on your SQL and Python skills, as you might be asked to solve problems or answer technical questions related to these tools during the interview.
✨Showcase Your Collaboration Skills
Since the role involves working with various stakeholders, prepare examples of how you've successfully collaborated in past projects. Think about specific instances where your communication skills made a difference in delivering data for analytics.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities in real-world situations. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and how you approach challenges in Data Engineering.
✨Research Dataiku's Culture
Familiarise yourself with Dataiku’s values and workplace culture. Since they encourage diversity, think about how your unique background and experiences can contribute to their team. This will help you connect better during the interview and show that you’re a good fit for their environment.