Inetum DATA ENGINEER \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . DATA ENGINEER Full-time Company Description Join Inetum We're Hiring a DATA ENGINEER! At Inetum, a leading international digital consultancy, we empower 27,000 professionals across 27 countries to shape their careers, foster innovation, and achieve work-life balance. Proudly certified as a Top Employer Europe 2024, were passionate about creating positive and impactful digital solutions. Job Description Hybrid work mode in Madrid.This service could imply a willingness to travel occasionally within Italy. The main responsibilities are: Migrate the existing Hadoop infrastructure to cloud infrastructure on Kubernetes Engine, COS, Spark as a service, and Airflow as a service. Implement data transformation and quality to ensure data consistency and accuracy. Utilize programming languages such as Scala and SQL and tools like Spark for data transformation and enrichment operations. Set up CI/CD pipelines to automate deployments, unit testing and development management. Write and conduct unit and validation tests to ensure accuracy and integrity of code developed. Automate data pipelines and streamline data ingestion through the implementation of different orchestrators and scheduling processes (Airflow as a Service mainly). Writing technical documentation (specifications, operational documents) to ensure knowledge capitalization. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Foster a culture of continuous learning and improvement within the team. Qualifications Good knowledge of: Spark on Scala CI/CD tools (Gitlab, Jenkins) HDFS and structured databases (SQL) Apache Airflow S3 storage/COS and parquet (and ORC) format Strong knowledge of SQL and NoSQL databases Hadoop Full understanding of: Oozie Shell script Software Development Lifecycle (SDLC) awareness Agile principles and ceremonies Design effective prompts to leverage Gen AI tools across IT domains (e.g., development, testing, data generation, documentation) during the development stage. Some knowledge of: Kubernetes containerization Dremio as tool to virtualize data Optionally/ as a plus: Elasticsearch and Kibana Streaming process (Kafka, event steam) HVault Additional Information BUSINESS AND TRANSVERSAL SKILLS Knowledge of banking industry and processes Problem-Solving and Decision-Making person Business / IT relationship (including IT OPS) Ability to understand, explain and support change Ability to Deliver / Results driven Ability to collaborate / Teamwork with data squads and business teams LANGUAGES English level B2 or higher I'm interested I'm interestedPrivacy NoticeCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. DATA ENGINEER Madrid, Spain Full-time I'm interested I'm interested

The role requires good knowledge of Spark on Scala, CI/CD tools such as Gitlab and Jenkins, and HDFS and structured databases like SQL. Familiarity with Apache Airflow, S3 storage/COS, and parquet/ORC formats is also necessary. Strong knowledge of SQL and NoSQL databases, Hadoop, Oozie, and Shell script is expected. Awareness of the Software Development Lifecycle and Agile principles is required, along with the ability to design effective prompts for Gen AI tools. Some knowledge of Kubernetes containerization and Dremio is also mentioned.