Descripción del trabajo

Las cualificaciones, habilidades y toda la experiencia relevante necesaria para este puesto se pueden encontrar en la descripción completa a continuación.

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:

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- 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:

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- 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:

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- Expertise with Snowflake and xqbhyrx related technologies (e.g. dbt)

- Ability to write robust code with Scala

- Proficiency with public clouds (AWS, GCP, Azure)

We offer:

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- Competitive compensation

- Fully remote work

- Versátil working hours

- Continuous education, mentoring, and professional development programs

- A team with an excellent tech expertise

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📌 Data Engineer (Vitoria-Gasteiz)
🏢 Quantori
📍 Vitoria-Gasteiz