At a Glance
- 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 diverse team in a dynamic environment.
- Why this job: Make an impact in the world of data 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 employer: Dataiku
Contact Detail:
Dataiku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer II: GenAI & DataOps
✨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 tools like Snowflake. This will give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for Data Engineers. Think about how you can relate your past experiences to the role at Dataiku, especially around collaboration and data delivery.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Dataiku team.
We think you need these skills to ace Data Platform Engineer II: GenAI & DataOps
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 and how your background makes you a great fit. We love seeing genuine enthusiasm for what we do at Dataiku.
Showcase Collaboration Skills: Since this role involves working with various stakeholders, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you can contribute to our EDA team!
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 and submit your materials!
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’ll likely be asked to demonstrate your expertise 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. Highlight your communication skills and how they’ve helped you deliver data solutions effectively.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you’ve faced in data engineering and how you overcame them, particularly in relation to analytics delivery.
✨Research Dataiku’s Culture
Familiarise yourself with Dataiku’s values and workplace culture. Understanding their commitment to diversity and equal opportunity can help you align your answers with their ethos, showing that you’re a great fit for the team.