At Quantori we are seeking a Data Engineer for an ongoing Life Science project to be engaged in building data pipelines and leveraging cloud technologies.

Haga clic en "Solicitar" a continuación para enviar su candidatura. Asegúrese de que su CV está actualizado y de que ha leído primero las especificaciones del puesto.

The team works in the Central European Time.

Responsibilities: Data organization and analysis: handling structured, semi-structured, unstructured, and image-based data. Building data systems and pipelinesPreparing data for prescriptive and predictive modelingDesigning end-to-end pipelines within a hybrid big data architecture, using Cloud Native Azure, Databricks, Spark, Scala, sbt, Airflow, Python, SQL, etc.

Leveraging Azure





Cloud services for building data pipelines and ensuring effective monitoringWhat we expect:5+ years of relevant experience in the Data Engineering fieldExpertise in SparkExpertise in DatabricksExperience in working with Azure CloudStrong SQL skillsExperience with building Data lakes, Data warehouses, and ETL solutionsUnderstanding of data structures, data modeling, and software architectureAnalytic and problem solving skillsNice to xsgfvud have: Expertise with Snowflake and related technologies (e.G.

dbt)Ability to write robust code with ScalaProficiency with public clouds (AWS, GCP, Azure)We offer: Competitive compensationFully remote workFlexible working hoursContinuous education, mentoring, and professional development programsA team with an excellent tech expertise

📌 Data Engineer (Madrid)
🏢 Quantori
📍 Madrid