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. A continuación se detalla todo lo que necesita saber sobre lo que implica esta posibilidad, así como lo que se espera de los solicitantes.

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:

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 skills Nice to have:

Expertise xbhjioe 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

Flexible working hours

Continuous education, mentoring, and professional development programs A team with an excellent tech expertise

📌 Data Engineer (Castro Urdiales)
🏢 Quantori
📍 Castro Urdiales