Labelium

Digital marketing agency optimizing online presence

Analytics / Data Engineer Confirmed or Senior

Data EngineeringConfirmed live in the last 24 hours

Full-timeÎle-de-France, France€45k - €60k /yrHybrid

About the Job

Requirements

At least 2 years of experience in data engineering or analytics engineering.
Advanced SQL and Python skills.
Practical experience with dbt or an equivalent tool, Git, and CI/CD.
Experience with a data warehouse; experience with Google Cloud is ideal.
Basic knowledge of orchestration, Docker, and infrastructure as code.
Fluent French and professional English.
Autonomy, a customer-service orientation, and the ability to explain technical topics clearly.

Responsibilities

Design and industrialize batch and streaming data ingestion and transformation pipelines from varied sources, including APIs, databases, files, and events.
Model data in the data warehouse and maintain a semantic layer with key performance indicators.
Operate cloud infrastructure on Google Cloud, including orchestration, CI/CD, infrastructure as code, monitoring, and cost control.
Contribute to advanced platforms, including marketing mix modeling and AI and agentic use cases on data.
Translate business needs from consultants and clients into data solutions.
Frame project architecture, make technical trade-offs, review code, support junior colleagues, and participate in presales.

Desired Qualifications

Interest in performance measurement and marketing mix modeling.

Description du poste

Votre mission 

Au sein d'une équipe data orientée Python, vous couvrez la chaîne de valeur de la donnée, de l'ingestion jusqu'à la couche analytique

Concevoir et industrialiser des pipelines d'ingestion et de transformation de données (batch et streaming) depuis des sources variées : API, bases de données, fichiers, événements.
Modéliser les données dans le data warehouse et maintenir une couche sémantique avec des KPI.
Exploiter une infrastructure cloud (GCP) : orchestration, CI/CD, infrastructure as code, monitoring, maîtrise des coûts.
Contribuer à des plateformes avancées (modélisation de mix marketing, cas d'usage IA et agentiques sur la donnée).
Traduire les besoins métier des consultants et des clients en solutions data.
Cadrer l'architecture des projets, arbitrer les choix techniques, revoir le code, accompagner les juniors et intervenir en avant-vente.

Qualifications

Votre profil

2 ans d'expérience minimum en data engineering ou analytics engineering.
SQL et Python avancé
Pratique de dbt ou équivalent, Git et CI/CD.
Expérience d'un data warehouse, idéalement sur Google Cloud.
Notions d'orchestration, Docker, IAC.
Intérêt pour la mesure de performance et le MMM (Marketing Mix Modeling) apprécié.
Autonomie, sens du service client, capacité à vulgariser.
Français courant ; anglais professionnel.

Informations supplémentaires

Process de recrutement en 3 étapes incluant une étude de cas.

Le groupe Cosmo5 inscrit la diversité et la mixité durant tout son processus de recrutement afin de garantir un environnement de travail accessible à toutes et tous.

Compensation: 45000 to 60000 (EUR) (YEARLY)

About the Company

Labelium

Digital marketing agency optimizing online presence

Labelium is a digital marketing agency that helps brands improve their online presence and performance. It uses data-driven, tailored strategies across multiple channels (such as search, social, display, and analytics) to design, run, and measure campaigns that boost visibility, engagement, and ROI. The company works by analyzing client data and digital trends to create customized plans, then executing campaigns globally and tracking results to optimize outcomes. What sets Labelium apart is its long-standing history since 2001, a global footprint in Europe and North America, and strategic backing from Charterhouse Capital Partners since 2021 to support growth and expanded services, all focused on delivering evidence-based marketing solutions rather than generic approaches. The goal is to help brands reach their digital audiences more effectively and achieve sustainable, data-driven growth.

Company size: 1,001-5,000
Company stage: Acquired
Total funding: Not listed
Headquarters: Paris, France
Founded: 2001

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