Azure Data Engineer – ADF

ITProposal; Amsterdam; On-site; EUR 68,000 - 90,000; Full time

Job summary

ITProposal is seeking an Azure Data Engineer for a fully onsite role in Amsterdam. The candidate will design and optimize data pipelines using Azure Data Factory and Azure Databricks, with strong Python and SQL skills to deliver scalable data solutions.

Collaboration with analytics and engineering teams is essential to ensure performance and governance. The role requires 4–6 years of relevant experience, a focus on cloud-native data engineering, and the ability to work in a fast-paced, Agile

Qualifications

• 4–6 years of hands-on experience in data engineering.
• Strong expertise in Azure Data Factory (ADF), Azure Databricks (ADB), Python and SQL.
• Ability to design, build, and optimize data pipelines in Azure.
• Collaborate with cross-functional teams to deliver scalable, secure data solutions.

Responsibilities

• Design, build, and maintain data pipelines using ADF and Databricks.
• Develop and optimize ETL/ELT workflows for ingestion, transformation, and orchestration.
• Implement scalable data processing with PySpark and SQL tooling.
• Ensure reliability, security, and performance of Azure-based data environments.

Skills

Python

SQL

Tools

Azure Data Factory

Azure Databricks

PySpark

Databricks notebooks

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