TL;DR

Senior Data Engineer (Azure/Databricks): Developing and operating modern, cloud-based data solutions in a highly regulated financial services environment with an accent on scalable data pipelines, security, and infrastructure automation. Focus on designing and maintaining robust data processing workflows, integrating cloud-native services, and ensuring compliance with financial risk systems.

Location: Onsite in Amstelveen, Netherlands

Company

%hirify_global% connects skilled professionals with projects across tech startups and global players, operating internationally from Amsterdam and London since 2000.

What you will do

Design, build, and maintain scalable data pipelines using Python, Databricks, and PySpark on Azure.
Develop backend components with Java (Spring or Quarkus) and automate infrastructure using Bicep and CI/CD pipelines.
Manage containerized workloads with Kubernetes and orchestrate workflows with Airflow.
Integrate event-driven solutions using Kafka and ensure secure, high-performance data processing.
Collaborate in an Agile/Scrum team and communicate technical concepts to stakeholders.
Own full lifecycle of data engineering solutions from design to production support.

Requirements

Must be located onsite in Amstelveen, Netherlands.
BSc or MSc in IT, Computer Science, or related field with several years of data engineering experience.
Strong skills in Python (3.11+), Databricks, Azure services, SQL, Java (17+), and Infrastructure as Code (Bicep).
Experience with Kubernetes, Kafka, Airflow, and CI/CD pipelines (Azure DevOps preferred).
Good understanding of Object-Oriented Programming, design patterns, and cloud-native architectures.
English proficiency at least B2 level.

Nice to have

Experience with advanced Azure security hardening.
Knowledge of microservices and financial risk systems or IFRS9 processes.

Culture & Benefits

Work in a professional environment with international projects and teams.
Collaborate with skilled professionals recruited from multiple countries.
Opportunity to work in a highly regulated financial services context.