
51 - 200 employees
đ€ Artificial Intelligence
đ± Media
Advertising Technology âą Artificial Intelligence âą Media
SPARTEO is a company specializing in advanced advertising technology solutions for publishers. They offer a comprehensive suite of data-driven advertising technologies powered by artificial intelligence, enabling publishers to enhance their business value. SPARTEO's offerings include solutions for display monetization, business intelligence, consent management platforms, and innovative audio and video technologies. By leveraging first-party data, they provide insights and tools that help publishers make informed decisions and optimize efficiency through supply path optimization. SPARTEO aims to maximize publisher revenue while aligning their success with that of their clients.
đ March 18
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
đ€ Artificial Intelligence
đ± Media
Advertising Technology âą Artificial Intelligence âą Media
SPARTEO is a company specializing in advanced advertising technology solutions for publishers. They offer a comprehensive suite of data-driven advertising technologies powered by artificial intelligence, enabling publishers to enhance their business value. SPARTEO's offerings include solutions for display monetization, business intelligence, consent management platforms, and innovative audio and video technologies. By leveraging first-party data, they provide insights and tools that help publishers make informed decisions and optimize efficiency through supply path optimization. SPARTEO aims to maximize publisher revenue while aligning their success with that of their clients.
âą Architect, scale, and maintain the backbone of our data ecosystem. âą Transform massive volumes of raw signals into actionable intelligence. âą Bridge the gap between high-level data strategy and hands-on technical excellence. âą Lead the design, implementation, and optimization of distributed data architectures to support massive Batch & Streaming pipelines. âą Ensure scalability, security, and performance of the infrastructure, maintaining high system availability (99.9%+) for analytics platforms. âą Optimize storage solutions to balance high-speed processing with cost-efficiency. âą Collaborate with software engineers and data scientists to seamlessly integrate AI-driven models into production data workflows. âą Lead and mentor a team of 2 data engineers, fostering a culture of continuous improvement and technical excellence. âą Set high standards for code quality, documentation, and rigorous peer reviews. âą Oversee project execution, delegate responsibilities, and act as the technical point of escalation for complex data-related roadblocks. âą Implement robust monitoring, alerting, and automated testing (Data Quality) to ensure the integrity of the data team's output. âą Ensure data security and GDPR compliance across all international jurisdictions and workflows. âą Identify opportunities to leverage new technologies or improve existing workflows to optimize data processing.
âą 6+ years in Data Engineering, with at least 2 years in a leadership or referent role within fast-paced environments. âą Expert proficiency in distributed data systems, clustering, advanced table types, and materialized views. âą Skilled in designing table sorting keys and fine-tuning database performance. âą Solid programming skills in Python, Golang, and Scala/Java, with deep expertise in Kafka for streaming/batch data pipelines. âą Hands-on experience with on-premise infrastructure managed by Kubernetes, and familiarity with monitoring stacks such as Prometheus. âą Strong knowledge of column-oriented databases designed for high-volume data processing, vector databases (e.g. Qdrant), and SQL/NoSQL technologies. âą Comfortable working with project tracking tools (Flyspray) and applying CI/CD & DataOps best practices. âą Interest or hands-on experience leveraging Generative AI tools in daily engineering workflows to boost productivity and innovation.
âą Dynamic Remote Culture: At Sparteo, we embrace a flexible work environment that adapts to your lifestyle, allowing you to contribute from wherever you feel most productive, be it from home or our urban offices in Paris, Lille, or London. âą Close-knit Team: Be part of our dynamic and united team, where collaboration, innovation, and mutual support drive our collective success and create a thriving work environment. âą Vibrant Social Events: Engage in regular social gatherings and company events that foster community and celebrate our milestones. âą Rapid Growth: Experience the excitement of working with a company in rapid expansion mode, impacting the advertising technology landscape across Europe and beyond. âą Tailored Support: We provide robust career development support, including training programs, career check-ins with HR, opportunities for internal mobility, and performance feedback sessions conducted quarterly or semi-annually, depending on your role. âą RTT Days: We support work-life balance with additional rest days (RTT), provided based on position and tenure, empowering you to recharge and enjoy life outside of work. âą Comprehensive Health and pension plans: We provide a robust health benefits plan, ensuring you and your family are covered and cared for. âą Additional Perks: Benefit from the Swile card for meals.
Apply Nowđ March 17
Senior Data Engineer developing scalable data pipelines using AWS and PySpark for a tech-focused company. Collaborating with product teams to ensure robust data governance and quality.
đŁïžđ«đ· French Required
Amazon Redshift
AWS
ETL
Flux
Jenkins
MongoDB
NoSQL
PySpark
SQL
Tableau
Terraform
đ December 10, 2025
Data Engineer designing and constructing data pipelines with Databricks in a multi-expert agency. Collaborating with clients on digital transformation and data-driven projects.
đŁïžđ«đ· French Required
Airflow
AWS
Azure
Cloud
Google Cloud Platform
PySpark
Python
Spark
SQL
đ December 1, 2025
Data Engineer designing and building data pipelines on Databricks at Devoteam. Involvement in continuous development and participation in innovative projects for various industry clients.
đŁïžđ«đ· French Required
Airflow
AWS
Azure
Cloud
Google Cloud Platform
PySpark
Python
SQL
đ November 25, 2025
Data Engineer building robust data pipelines on Databricks for diverse clients in digital transformation. Collaborating in an expert ecosystem focusing on cloud and data-driven solutions.
đŁïžđ«đ· French Required
Airflow
AWS
Azure
Cloud
Flux
Google Cloud Platform
PySpark
Python
SQL
đ November 4, 2025
Data Engineer at Devoteam focusing on advanced data pipelines. Working with clients across diverse industries and maintaining the highest code quality standards.
đŁïžđ«đ· French Required
AWS
Azure
Cloud
Flux
Google Cloud Platform
PySpark
Python
SQL