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Design and build AI-ready data pipelines and cloud architectures using Spark, Kafka, and Python/Scala for a tech consultancy driving GenAI innovation.
Build and maintain cloud-based data pipelines and platforms for clients using Snowflake, Databricks, and cloud-native tools, while collaborating with data scientists to industrialize their models.
Designs and maintains ETL pipelines and data warehouses for an aerospace industry client, integrating ERP data and building finance-focused datamarts.
Build and maintain petabyte-scale data pipelines using Iceberg, Spark, DuckDB, and Trino, and own the reporting stack behind the Clear UI.
Build and maintain CI/CD pipelines, automate deployments, and improve DevOps practices for data-heavy search and analytics platforms using Linux/Windows, Jenkins/GitLab CI, Ansible, Terraform, and Kubernetes.
We are looking for a Brand Manager to join the ranks of our Global Publishing team. Reporting to the Associate Marketing Director in Paris, you will contribute to shaping the global go-to-market strategy, marketing…
Location Our Account Executive will be an integral part of our New Business DoiT Cloud Intelligence (DCI) Sales team in EMEA. This role is based remotely in the France. Who We Are DoiT is a global technology company…
Build and optimize a high-traffic marketing platform in PHP/JS, improving conversion and performance for global partners using a proprietary framework and AWS.
Builds and maintains Snowflake-based data pipelines, implements governance, and designs data clean rooms using Python and SQL in a cloud environment.
Build and maintain reliable data pipelines, ETL/ELT workflows, and cloud data platforms using Python, SQL, Spark, and Snowflake, while collaborating with analytics and data-science teams.
Designs and deploys Azure and Microsoft Fabric data analytics solutions for a Paris-based tech consultancy, focusing on data integration and modeling.
Senior Data Engineer designs and builds Snowflake-based cloud data pipelines and data models using SQL/ETL for a tech-consulting firm.
Build and maintain scalable data pipelines, integrate diverse data sources, and support analytics teams with ETL processes and statistical analysis using Python/R and cloud tools.
Build and optimize robust data pipelines and Big Data architectures using Python, Spark/Scala, SQL/NoSQL, and cloud platforms to ensure reliable data availability for analytics and decision-making.
Build and maintain scalable data pipelines, integrate and transform data sources, and optimize batch/real-time processing for analytics and reporting.
Maintains and improves data pipelines and CRM integrations (HubSpot, Elasticsearch) while building BI dashboards and automating workflows to track customer lifecycle and operational efficiency.
Design, automate, and secure cloud-native infrastructures for clients using Docker, Kubernetes, and CI/CD pipelines while ensuring uptime and performance.
Maintain and deploy Linux-based infrastructure, automate CI/CD pipelines, and monitor systems using tools like Ansible, Kubernetes, and Grafana for a long-term client project.
Builds and operates Kubernetes clusters and writes Go-based operators for a sovereign cloud, while implementing SRE observability and mentoring junior engineers.
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