Data Engineer

Join our Data Engineering team as a Data Engineer, where you'll be responsible for the development and operation of the Data Collection Hub. You'll engineer distributed ingestion services, build high-throughput processing components, design and evolve data contracts, and improve platform reliability. You'll work with a technology stack that includes Python, Node.js, HDFS, HBase, Spark, MongoDB, OpenSearch, Airflow, and Kubernetes. Enjoy benefits such as a pension scheme, private family health insurance, 25 days of holidays, EMI share options, flexible working, a wellbeing allowance, and free lunch and snacks.

• Conception et développement de services d'ingestion distribués pour extraire des données de diverses sources.
• Création de composants de traitement à haut débit, en mettant l'accent sur la performance, l'évolutivité et le coût prévisible.
• Conception et évolution des contrats de données (schémas, règles de validation, versioning) pour garantir la confiance des équipes en aval.
• We’re looking for someone with 2+ years of industry experience building and operating production software who enjoys working across data pipelines, distributed systems, and operational reliability
• Fluency in at least one programming language (Python/Node.js a plus)
• 2+ years building and operating production software systems
• Strong fundamentals: data structures, testing, version control, Linux basics
• Experience debugging moderately complex systems and improving reliability/performance
• Spark/PySpark experience
• Hadoop ecosystem exposure (HDFS/HBase)
• Workflow orchestration (Airflow/Dagster/NiFi)
• Search/indexing (OpenSearch, MongoDB)
• Kubernetes and infrastructure-as-code
• Degree in Computer Science or numerical degree