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. 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 pipelines * Preparing data for prescriptive and predictive modeling * Designing 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 monitoring What we expect:



* 5+ years of relevant experience in the Data Engineering field * Expertise in Spark * Expertise in Databricks * Experience in working with Azure Cloud * Strong SQL skills * Experience with building Data lakes, Data warehouses, and ETL solutions * Understanding of data structures, data modeling, and software architecture * Analytic and problem solving skills Nice to have: * Expertise with Snowflake and related technologies (e.g. dbt) * Ability to write robust code with Scala * Proficiency with public clouds (AWS, GCP, Azure) We offer: * Competitive compensation * Fully remote work * Versátil working hours * Continuous education, mentoring, and professional development programs * A team with an excellent tech expertise

📌 Data Engineer (Álava)
🏢 Quantori
📍 Álava