Senior Python developer

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.
• Proficient SQL and relational databases.
• Experience with CI/CD and Azure DevOps.

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

CI/CD

Azure DevOps

Tools

Apache Airflow

Azure Databricks

.Net (C#)

Azure Durable Functions

C# / .NET

Job description

As a preferred supplier to one of our biggest Financial Client, I am seeking a Python developer for a position in Amsterdam, Netherlands. The successful candidate will have strong experience in Python and ETL best practices.

36- 40 hours

2 - 3 year project

The project and responsibilities:

You will be joining a data engineering team building and maintaining a modular ETL framework that ingests, transforms, and delivers financial data to downstream reporting and risk systems, using Apache Spark and Azure Databricks. The codebase is modern Python, follows clean architecture principles, and is backed by a full unit and integration test suite. ETL processes are orchestrated via Apache Airflow or Azure Durable Functions (C#).

Your primary activity will be onboarding new financial data sources into the framework covering schema definition, transformation logic, testing, and end-to-end deployment across development, acceptance, and production environments.

Must haves:

• Proficiency in Python with a deep understanding of software development principles (at least 5 years of experience)
• Strong knowledge of ETL best practices and data engineering methodologies
• Experience with Apache Spark/PySpark and distributed computing (preferably Azure Databricks)
• Experience with SQL and relational databases
• Experience with CI/CD and Azure DevOps

Nice-to-have:

• Experience with .Net (C#) used in supporting components and legacy system integrations
• Experience working with data integration and orchestration tools (e.g. Azure Durable Functions, Apache Airflow, Azure Data Factory

Please apply with an updated CV, if interested or looking for a new opportunity in a friendly work environment.