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 monitoringWhat we expect:- 3+ 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 skillsNice 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 (Ciudad Real)
🏢 Quantori
📍 Ciudad Real