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- Tasks: Build reliable data pipelines and automate processes for our SaaS operations.
- Company: Join Dataiku, a leader in AI success and innovation.
- Benefits: Competitive salary, growth opportunities, and a collaborative work environment.
- Why this job: Shape the future of AI while making a real impact on business performance.
- Qualifications: Bachelor's degree and 3+ years in data engineering with Python and SQL skills.
- Other info: Diverse and inclusive workplace with a focus on personal growth.
The predicted salary is between 50000 - 70000 £ per year.
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.
About The Role
Dataiku is looking for a Data Engineer to help build reliable data pipelines for our Operations and SRE teams supporting our SaaS offering. You will collaborate closely with our Site Reliability Engineering (SRE) and Product Operations teams to build data pipelines, custom applications, integrations, and automations that eliminate manual toil and streamline our infrastructure and data management. You will be working extensively on Dataiku to accelerate our operations and analytics by building solutions, pipelines and agents.
Missions
- Build pipelines to load data from various systems into Dataiku via S3 or Snowflake (AWS, K8s, kube, prometheus…)
- Increase the robustness of existing production pipelines, identify bottlenecks, and set up a robust monitoring, testing processes, and documentation templates
- In collaboration with the Enterprise Data and Analytics and Business Systems teams, increase the reliability and scale of our product usage data. You will extract data from our core product and ensure accurate, real-time ingestion into downstream tools and perform ad-hoc analyses.
- Build custom applications and integrations to automate manual tasks related to customer operations to help Product Operations / Support / SRE in their day-to-day activities
- Contribute to the health of our data systems by designing and documenting good practices for our data usage
Who you are
- Bachelor's degree in Computer Science or related field.
- 3+ years of experience in a similar role.
- Basic scripting or development experience involving Python and SQL.
- Experience with one or more of the following: Dataiku, Snowflake, Databricks, BigQuery…
- Knowledge of Public Cloud eco-system (AWS, Azure, GCP, …)
- Experience orchestrating pipelines and implementing data governance practices.
- Experience leveraging APIs.
- Curiosity and desire to learn new skills and contribute to the team’s success across multiple fields.
- Clear communication skills and ability to work with teammates from various backgrounds.
- Strong problem-solving skills and creativity in designing robust and easy-to-use solutions.
What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku!
Protect yourself from fraudulent recruitment activity. Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: #J-18808-Ljbffr
Data Engineer - Dataiku Cloud in London employer: Dataiku
Contact Detail:
Dataiku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Dataiku Cloud in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. 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 data pipelines and projects. This gives potential employers a taste of what you can do, especially with tools like Dataiku and Snowflake.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've tackled challenges in previous roles. We love seeing problem-solving in action!
✨Tip Number 4
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 our team at Dataiku.
We think you need these skills to ace Data Engineer - Dataiku Cloud in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight your experience with data pipelines, cloud platforms, and any relevant tools like Dataiku or Snowflake.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be sure to mention specific projects or achievements that showcase your problem-solving skills.
Showcase Your Technical Skills: Don’t forget to include your technical skills in Python, SQL, and any experience with APIs. We want to see how you can contribute to building robust data solutions, so be specific about your expertise!
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 shows you’re serious about joining our team!
How to prepare for a job interview at Dataiku
✨Know Your Data Tools
Familiarise yourself with Dataiku, Snowflake, and other relevant tools mentioned in the job description. Be ready to discuss your experience with these platforms and how you've used them to build data pipelines or automate tasks in previous roles.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in data engineering and how you overcame them. Highlight your creativity in designing robust solutions and your ability to identify bottlenecks in existing systems.
✨Communicate Clearly
Since you'll be collaborating with various teams, practice explaining complex technical concepts in simple terms. This will demonstrate your clear communication skills and your ability to work effectively with teammates from different backgrounds.
✨Ask Insightful Questions
Prepare thoughtful questions about Dataiku's operations, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.