• Collaborate with compliance experts, cybersecurity experts, and platform architects to ensure the data platform is efficient, secure, and highly available • Implement secure code development • Plan and execute logging improvements to achieve flexible unified audit across various technologies on the platform • Design and implement security event monitoring and alerting (Splunk) to ensure observability & performance of the platform in compliance with cybersecurity & governance requirements • Maintain production-grade infrastructure using Terraform or Ansible, ensuring consistent and automated resource provisioning. • Change platform network configuration (e.g. FQDN zone) to ensure compliance with the centralized requirements • Maintain & keep up-to-date security certificates • Manage automated CI/CD pipelines for data product

• 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

• Support navigation and organization of content within Microsoft Fabric Workspaces. • Demonstrate data consumption via OneLake and Lakehouse datasets. • Work hands-on in building dashboards and reports in Power BI. • Provide mentoring and technical support to business users. • Facilitate platform adoption and promote best practices for usage.

• As part of our Data Engineering team, you will work on customer-specific solutions: you are responsible for developing interfaces to existing data sources (SQL, files, APIs, etc.) • Developing data preparation, aggregation, and cleansing pipelines (ETL) is also part of your responsibilities • Documenting data structures in a data dictionary is standard practice for you • As well as storing data in a central data store (SQL, NoSQL, etc.) • You develop RESTful API services using established frameworks and standards (Flask, Swagger) • You write automated tests and documentation, as well as implement CI/CD pipelines • You ensure deployment across various cloud environments, often based on container technologies (Docker, Kubernetes, OpenShift) or native cloud services (e.g., serverless)