About The RoleAs a Senior Data Engineer, you will play a key role in designing, developing, and optimizing innovative data solutions for the banking sector.You will be an essential member of the Data Engineering team and collaborate with business experts, data scientists, and developers to transform our clients’ digital platforms.Key ResponsibilitiesDesign, develop, and maintain robust and scalable big data solutions using Hadoop, Spark, Kafka, etc.Implement real-time and batch data pipelines for complex use casesEnsure data quality, security, and compliance at every stage of the data lifecycleIntegrate streaming solutions with Kafka for near real-time analyticsDevelop and maintain microservices in Node.jsMentor junior engineers and promote best practicesRequired Technical SkillsBig Data & Data Processing: Hadoop, Spark, KafkaProgramming Languages: Python, Node.jsDatabases: Cassandra, NoSQLAnalysis Tools & Notebooks: ZeppelinArchitecture & Pipelines: Distributed architectures, data pipelines, scalable systemsExperience And EducationMaster’s degree in Computer Science, Data Science, or equivalentAt least 10 years of professional or equivalent experience in data engineering, gained in enterprise, freelance projects, or complex assignmentsExperience in the banking or financial sector is appreciatedLeadership, autonomy, excellent communication skillsFluency in French and EnglishNice to have Recognized certifications (Cloudera, Databricks, AWS, GCP, Azure)Experience with visualization tools (Tableau, Power BI)Knowledge of another European languageSecurity & Compliance: GDPR, Data Security, Data GovernanceWe look forward to meeting curious and committed technical profiles. Even if you do not meet all the criteria, we encourage you to apply : your transferable skills and willingness to learn can make the difference.