Data Engineer - at Kamino Retail - Full-remote (France)
Summary
Data Engineer joining the engineering team at Kamino Retail to build the data backbone of a retail media monetization platform: designing scalable data pipelines and ETL infrastructure, ensuring data quality, monitoring and reliability using SQL and big-data technologies. Fully remote within France; Kubernetes and dbt are a plus.
Your mission
We are looking for a thoughtful, well-rounded Data Engineer to join our engineering team and help build the next generation of Retail Media monetization platform. You'll be a privileged interlocutor to our Product team supporting them and building the best architecture to streamline all of our data flows. You will join a team that includes a data scientist and frequently collaborate with a data analyst from our OPS team. We encourage anyone who is passionate about building scalable data architectures to apply.
What you'll do
- Create and maintain optimal data pipeline architecture
- Ensure reliability and scalability of our data infrastructure while participating in continuous improvement of our processes and tools
- Implement and maintain data quality standards, monitoring, and alerting systems. Ensure data pipeline reliability and establish best practices for data consistency across our platform
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 'Big Data' technologies
- Work with stakeholders to assist with data-related technical issues and support data infrastructure needs
Who you are
- You have 3+ years of experience as a Data Engineer designing, developing and optimizing strong and flexible data pipelines, architectures and data management strategies
- You have a focus on high-volume data processing (in advertising, streaming, banking, etc)
- You have working knowledge of message queuing, stream processing, and highly scalable 'Big Data' data stores
- You have advanced SQL knowledge and experience working with relational databases as well as working familiarity with a variety of databases
- You have a great ability to learn, and you are eager to expand your areas of expertise
- You have a strong quality mindset and care for the overall performance of the product
- Familiarity with Kubernetes and dbt preferred
Why Choose Us?
Shape the future of retail media with us!