Analytics Engineer

Join Emma's cross-functional Data Platform Team as an Analytics Engineer. You'll work closely with analysts, analytics engineers, data scientists, and data engineers to improve the speed, safety, and reliability of our data processes. Your responsibilities will include monitoring and observability, architecture discussions, internal tooling, and hands-on pipeline and model development. The ideal candidate will have 3+ years of experience in a data platform, strong SQL and Python skills, and a working knowledge of the AWS data stack.

- Contribuer à l'amélioration de la surveillance, de l'alerte et de l'observabilité de la plateforme de données, afin que les échecs soient détectés tôt et que la santé des pipelines et des modèles soit visible. - Participer aux discussions d'architecture, proposer des améliorations, documenter les compromis et aider à décider quoi construire, refactoriser ou retirer. - Écrire des guides, des normes et de la documentation clairs qui aident les collègues à travailler plus efficacement et de manière cohérente.

- Breadth over depth in a single tool - comfortable switching between topics, picking up unfamiliar problems, with a wide base of technical knowledge across the data stack - 3+ years in a data platform, data engineering, analytics engineering, DataOps - Working knowledge of the AWS data stack (Redshift, S3, IAM, Athena, Glue) or equivalent, plus experience with lakehouse architectures (Apache Iceberg, Delta, etc), pipeline orchestration (Apache Airflow or equivalent), and modern ingestion/ELT tooling (Airbyte, Fivetran, or equivalent) - Comfortable writing documentation, guides, and architecture decisions - Fluent English, written and spoken; based in Europe with workable timezone overlap - Strong communication and writing. You can move between a stakeholder conversation about a problem and a technical discussion about how to solve it - Strong SQL and Python skills, with a real understanding of how databases work (query execution, performance tuning, storage, access and permission models) and enough dbt experience to review others' work and set standards - Initiative and autonomy to drive work forward independently after onboarding, raising blockers early - Exposure to Infrastructure as Code (Pulumi, Terraform, or equivalent), and confidence navigating internal tooling and existing codebases