Data Engineer - at Kamino Retail - Full-remote (France)

📋 Description

• • Architect and own the end-to-end data lifecycle for Kamino Retail’s next-generation Retail Media monetization platform, powering the advertising strategies of major retailers across France and Europe. Your designs will directly influence how millions of shopper interactions are captured, processed, and activated in real time.
• • Design, build, and continuously improve resilient, high-throughput data pipelines that ingest, transform, and deliver petabyte-scale event streams originating from web, mobile, in-store sensors, and partner APIs. Reliability and millisecond-level latency are non-negotiable when retailers rely on your data to serve ads in the critical moments of purchase intent.
• • Establish and enforce enterprise-grade data quality standards, automated monitoring, and alerting systems that surface anomalies before they reach downstream models or dashboards. You’ll define SLAs, SLOs, and error-budget policies that keep the entire organization confident in the data.
• • Collaborate daily with a cross-functional squad that includes a data scientist, a data analyst from the Operations team, and product managers who translate retailer needs into technical epics. You will act as the technical authority who translates business KPIs—such as ROAS, CTR, and incremental revenue—into scalable data schemas and processing logic.
• • Optimize and harden our Kubernetes-based infrastructure for stream processing (Kafka, Flink) and batch processing (Spark on Kubernetes). You’ll write Infrastructure-as-Code modules (Terraform, Helm) so every environment—from dev to prod—can be reproduced in minutes.
• • Implement and maintain dbt projects that turn raw event logs into analytics-ready marts. You will write modular, version-controlled SQL models, enforce testing with dbt-expectations, and orchestrate pipelines with Airflow or Prefect to guarantee data freshness.
• • Champion continuous improvement by introducing new technologies (Iceberg, Delta Lake, Snowflake, or BigQuery) when they demonstrably reduce cost or improve performance. You will run proof-of-concepts, benchmark results, and present findings to engineering leadership.
• • Provide tier-3 support for data-related incidents, participating in an on-call rotation that values blameless post-mortems and iterative fixes. Your runbooks and dashboards will become the first line of defense for the ops team.
• • Mentor junior engineers through pair-programming, design reviews, and brown-bag sessions. You will foster a culture where code quality, observability, and documentation are as important as shipping features.
• • Contribute to the open-source community by upstreaming patches or writing blog posts that showcase how Kamino Retail solves hard data problems at scale. Your thought leadership will strengthen our employer brand and attract top talent.