Azure Data Engineer – ADF | Databricks | Python | SQL 10947672

Itproposal; Amsterdam; On-site; EUR 60,000 - 90,000; Full time

Job summary

Itproposal in Amsterdam is seeking an Azure Data Engineer with 4–6 years of hands-on Azure data experience to design, build, and optimize data pipelines using ADF and Azure Databricks. The role is fully onsite in Amsterdam and requires collaboration with cross-functional teams to deliver scalable data solutions.

You will develop Python scripts and SQL queries, implement data quality checks, and ensure secure, high-performing Azure data platforms.

Qualifications

• 4–6 years of data engineering experience.
• Hands-on with ADF, Azure Databricks (ADB), Python and SQL.
• Experience designing and building data pipelines in Azure.
• Onsite role in Amsterdam, NL.

Responsibilities

• Design, build, and maintain data pipelines with ADF and Databricks.
• Develop ETL/ELT workflows and PySpark-based solutions.
• Write Python scripts and SQL queries for analytics.
• Ensure reliability, security, and performance of Azure data environments.
• Collaborate with stakeholders in Agile ceremonies and document designs.

Tools

Azure Data Factory (ADF)

Azure Databricks (ADB)

Python

SQL

Databricks notebooks & PySpark

Azure cloud data services

Data pipeline design & orchestration

Troubleshooting & performance tuning

Job description

Azure Data Engineer – ADF | Databricks | Python | SQL (Onsite – Amsterdam)

Requirement ID: 10947672Location: Amsterdam, Netherlands (TNDL – Amsterdam)Work Model: Complete OnsiteStart Date: 10 Sep 2026Duration: 6 MonthsStatus: OpenRate:NegLanguage Requirement: English (No Dutch required)

Role Overview

We are seeking a skilled Azure Data Engineer with 4–6 years of experience and strong hands‑on expertise in Azure Data Factory (ADF), Azure Databricks (ADB), Python, and SQL. The ideal candidate will design, build, and optimize data pipelines, support cloud‑native data engineering workloads, and collaborate with cross‑functional teams to deliver scalable, secure, and high‑performance data solutions within Azure.

This is a fully onsite role in Amsterdam, requiring close collaboration with engineering, analytics, and business teams.

Key Responsibilities

Azure Data Engineering

• Design, build, and maintain data pipelines using Azure Data Factory (ADF).
• Develop and optimize ETL/ELT workflows for ingestion, transformation, and orchestration.
• Implement scalable data processing solutions using Azure Databricks (ADB) and PySpark.

Python & SQL Development

• Write efficient Python scripts for data manipulation, automation, and pipeline logic.
• Develop SQL queries, stored procedures, and data models for analytics and reporting.
• Work with relational and cloud‑native data sources.

Cloud Data Platform Operations

• Support Azure‑based data environments, ensuring reliability, performance, and security.
• Collaborate with cloud engineers on deployments, configurations, and environment management.
• Troubleshoot data pipeline issues and ensure smooth daily operations.

Data Quality & Optimization

• Implement data validation, error handling, and monitoring frameworks.
• Optimize data workflows for performance, cost efficiency, and scalability.
• Ensure adherence to best practices in data governance and documentation.

Collaboration & Delivery

• Work closely with business stakeholders, analysts, and engineering teams.
• Participate in Agile ceremonies and contribute to sprint planning and delivery.
• Document workflows, pipelines, and technical designs clearly and consistently.

Essential Skills

• Azure Data Factory (ADF)
• Azure Databricks (ADB)
• Python
• SQL
• Databricks notebooks & PySpark
• Azure cloud data services
• Data pipeline design & orchestration
• Troubleshooting & performance tuning

Competencies

• Digital: Python
• Digital: Databricks
• Azure Data Factory
• MySQL / SQL
• Cloud Data Engineering
• ETL/ELT Development