ACSSI

About the Company

ACSSI, Pôle d'activités DATA, IA, Cloud, Digital et SAP de référence à Lille, Paris, Bordeaux et Nantes depuis plus de 10 années. ACSSI vous propose d’intervenir sur l’ensemble des phases de vos projets liées à l’exploitation de vos données ou SAP ! Nos 80 consultants expérimentés et certifiés sont en mesure de participer à votre stratégie « DATA » : Conseil, Gestion de projet, Prototypage, Méthodologie, Expertise, Développement, Ergonomie, Maintenance, Sécurité, TMA, Support, Services managés, Formations… Nos métiers de la DATA : DataViz, Business Intelligence, Big Data, Cloud, Prédictif, Intelligence Augmentée, DataLake, Data as a Service, DataWarehouse… Technologies maîtrisées par nos équipes : Qlik Sense, QlikView, Talend, Stambia, SAP, Microsoft Azure, Google Cloud Platform, Amazon Web Services, Business Objects, ODI, PowerBI, Tableau… Savoir-faire métier : Distribution, Service, Industrie, Public, Finance, Habitat, Assurance... Plus de 400 clients nous font confiance, ce qui représente plus de 3.000 projets réalisés. Pour nous rejoindre, c'est simple, envoyez-nous votre CV sans tarder à recrutement@acssi.fr ! #DATA #DATAViz #ETL #ELT #Qlik #Talend #Snowflake #GCP #AWS #Azure #SAP #ERP #Cloud

Listed Jobs

Company Name

ACSSI

Job Title

DATA Engineer - Environnement Databricks H/F

Job Description

**Job Title** Data Engineer – Databricks Environment (M/F) **Role Summary** Design, implement, and maintain data solutions using Databricks, Apache Spark (batch, streaming, ML, SQL), and Apache Kafka on cloud platforms (GCP, Azure). Build and support SQL/NoSQL databases, data lakes, and warehouses, ensuring data availability, quality, and performance for client projects. **Expactations** * Deliver robust, scalable data pipelines and services that meet performance and SLA requirements. * Collaborate with cross‑functional teams, share best practices, and mentor junior engineers. * Continuously optimize data workflows and contribute to architecture discussions. * Maintain high code quality, versioning, and CI/CD pipelines. * Communicate progress and challenges clearly to stakeholders. **Key Responsibilities** * Develop Spark applications (PySpark, Scala) for batch, streaming, and ML workloads. * Integrate Kafka streams and connectors, manage schema evolution and data ingestion via REST/SOAP APIs. * Build and maintain SQL and NoSQL databases, as well as data lakes and warehouses. * Implement and manage CI/CD pipelines using GitLab, Jenkins or equivalent. * Package solutions in Docker containers and orchestrate deployments. * Collaborate with international teams and contribute to the global data community. * Provide technical support and troubleshooting during production incidents. * Participate in knowledge sharing, best‑practice documentation, and training sessions. **Required Skills** * 3+ years of experience as a data engineer or similar role. * Mastery of Apache Spark, Databricks, and Apache Kafka. * Proficiency in Python, Scala, or Java for data processing. * Solid understanding of SQL and NoSQL database design and management. * Hands‑on experience with cloud data services (GCP BigQuery, Dataflow; Azure Synapse, Azure Data Factory). * Familiarity with CI/CD tooling (GitLab, Jenkins, GitHub Actions) and container orchestration (Docker, Kubernetes). * Strong problem‑solving skills, attention to detail, and ability to work independently. * Professional level English communication. **Required Education & Certifications** * Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. * Optional certifications: Databricks Certified Data Engineer, AWS/Azure/GCP Big Data, or equivalent.

Villeneuve-d’ascq, France

Hybrid

Junior

23-12-2025