Data Engineer
Quantori
Spain
7 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Airflow
Amazon Web Services
Microsoft Azure
Big Data
Cloud Computing
Cloud Engineering
Information Engineering
Extract Transform Load (ETL)
Data Structures
Data Systems
Data Warehousing
Python (Programming Language)
+12 more
Software Architecture
Scala (Programming Language)
SQL Databases
Google Cloud
Snowflake
Apache Spark
Data Lakes
Production Code
Data Management
Sbt (Software)
Data Pipelines
Databricks
Job description
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
- 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
- Continuous education, mentoring, and professional development programs
Requirements
- 5+ years of relevant experience in the Data Engineering field
- Expertise in Spark
- Expertise in Databricks
- Experience in working with Azure Cloud
- 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)
Benefits & conditions
- Competitive compensation
- Fully remote work
- Continuous education, mentoring, and professional development programs
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