Dataiku platform Engineer
Capgemini
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Job Description
The Dataiku Platform Engineer will play a pivotal role by deploying and optimizing TME Dataiku environment, used both by expert and novice data scientists.
This person will actively participate in defining and managing Dataiku platform, including migration, integration with key applications and automating pipelines, on top of managing and supervising a dedicated support
team. Acting as the technical SME of Dataiku, and drive the execution of critical activities in the platform:
- Defining and applying best practices consistently within the Dataiku platform.
- Detecting opportunities for automation, and develop them.
- Explaining Dataiku capabilities to non-technical profiles while engaging in technical
conversations with engineers and data scientists. - Staying up-to-date on modern data platform and automation trends.
- Working individually on smaller deliveries, but also able to participate in larger deliveries as part
of a team. - Raising impediments and seeking support if needed.
- Actively suggesting improvement opportunities (both technical & process).
- Creating concise & meaningful documentation of policies, best practices, and architectures. and
architectures.
Your Profile
- You are a tenacious problem solver, with great customer focus and passionate about data
platforms and automation. - A minimum of 3 years' experience working as data platform technical expert of MLOps role.
- Experience working on Dataiku, preferably as a power user or administrator, with strong
experience in workflow optimization. - Good understanding of automation techniques and integration with enterprise systems.
- Familiarity with monitoring techniques and key metrics for platform performance.
- Excellent programming skills (Python) and familiarity with common DevOps tools (Git,
Terraform). - Good understanding of AWS infrastructure and deployment practices (IaC tools, such as
Terraform are considered a big plus).
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.