Senior Python Data Engineer - ETL, Spark, Azure Databricks

Gazelle Global; Amsterdam; On-site; EUR 70,000 - 90,000; Full time

Job summary

A financial services provider is seeking a skilled Python developer for a position in Amsterdam, Netherlands. The role involves working in a data engineering team to build and maintain an ETL framework for financial data. Candidates should have at least 5 years of experience in Python, expertise in ETL best practices, and familiarity with Apache Spark and Azure Databricks. This is a 2-3 year project with a friendly work environment.

Qualifications

• At least 5 years of experience in software development, proficient in Python.
• Strong knowledge of ETL best practices and data engineering methodologies.
• Experience with distributed computing, preferably using Azure Databricks.

Responsibilities

• Join a data engineering team to build and maintain an ETL framework.
• Onboard financial data sources, covering schema definition and transformation.
• Deploy processes across development, acceptance, and production environments.

Skills

Proficiency in Python

Strong knowledge of ETL best practices

Experience with Apache Spark/PySpark

Experience with SQL

Experience with CI/CD and Azure DevOps

Tools

Apache Airflow

Azure Databricks

.Net (C#)

Job description

A financial services provider is seeking a skilled Python developer for a position in Amsterdam, Netherlands. The role involves working in a data engineering team to build and maintain an ETL framework for financial data. Candidates should have at least 5 years of experience in Python, expertise in ETL best practices, and familiarity with Apache Spark and Azure Databricks. This is a 2-3 year project with a friendly work environment.