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Consultant - Data Engineer - F/H - MAROC

Wepoint • French: C1 • Artificial Intelligence • Blockchain & Crypto • Python • SQL • ETL/ELT • 26 days ago
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Location
Hybrid (Casablanca, Morocco)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Sep 23, 2026. Wepoint scores C on the Alion truth index.

Overview
Company
Impact
Profile match

Wepoint

Wepoint, the new name of the Onepoint group, is a Paris-based consulting and technology services firm that supports businesses and public sector bodies from strategy through technology implementation, with practices in business advisory, IT development, data and AI, cloud and cybersecurity. The group was founded in 2002, grew through acquisitions such as Weave, JBG, Timwi and Nexworld, and employs about 3,500 people across Europe, Tunisia, Morocco, North America and the Asia-Pacific region, with North American offices in New York and Montreal. It hires AI engineers, cloud and DevOps engineers, fullstack developers, data engineers, tech leads and strategy consultants.
wepoint.com • HQ: Paris, France • Management Consulting • IT Consulting & Digital Transformation • 5000+ employees • Est. 2002
Tech stack of Wepoint

Votre futur collectif :

  • Rejoignez notre collectif Data composé de 250 personnes passionnées d’innovation et de data

  • La communauté intervient sur tous les secteurs, tous les types d’entreprises et couvre toute la chaine de valeur de la data : data strategy, data design, data management, data compliance, data product management, data architecture, data engineering, data analytics, data science & IA et bien d’autres !

  • Évoluez dans nos espaces de vie à Casablanca

Vos nouveaux challenges pour ce poste :

Vous jouerez un rôle clé dans la création de pipelines fiables et optimisés, garantissant la qualité et la disponibilité des données pour les usages analytiques et IA.

Votre mission : transformer des environnements complexes en plateformes data robustes, scalables et orientées produit.

Vous intervenez entre autres sur les missions suivantes :

  • Concevoir et développer des pipelines batch et streaming (ETL/ELT) performants et résilients.

  • Implémenter des règles de qualité, validation et traçabilité des données.

  • Optimiser les performances (coûts, latence, volumétrie) des traitements et des stockages.

  • Contribuer à la modélisation des données (bronze/silver/gold, data products).

  • Participer aux revues de code et à l’amélioration continue des pratiques.

  • Collaborer étroitement avec les Data Analysts, Data Architects et équipes métiers pour répondre aux besoins business.

Votre profil et les expertises que vous souhaitez développer :

  • Vous avez une solide expérience en développement de pipelines de données et en manipulation de grands volumes de données.

  • Vous maîtrisez SQL et Python, et avez déjà travaillé avec des frameworks tels que Spark ou dbt.

  • Vous souhaitez approfondir vos compétences sur les plateformes cloud (Azure, AWS, GCP) et les outils modernes de data engineering (Databricks, Snowflake, Airflow, Great Expectations).

  • Vous êtes motivé(e) par l’optimisation des performances et la mise en place de bonnes pratiques de qualité et de gouvernance des données.

  • Vous aimez travailler en équipe, partager vos connaissances et contribuer à des projets à fort impact.

Technologies clés :

  • Azure / Microsoft Fabric : ADF, Event Hubs, ADLS Gen2, Synapse, Fabric, Purview

  • AWS : Glue, Kinesis, Lambda, S3, Redshift

  • GCP : Dataflow, Pub/Sub, BigQuery

  • Databricks : Spark, Delta Lake, Autoloader

  • Snowflake, dbt, Airflow, Great Expectations, SQL, Python

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