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.

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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 with xiphteb 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 (Pontevedra)
🏢 Quantori
📍 Pontevedra