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

ITproposal • English • Python • SQL • ETL/ELT • Azure Data Factory • 1 day ago

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Salary

≈ $45k – $121k per year (Estimated)

Location

In office (Amsterdam)

Seniority

Middle · 4+ years exp

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 9, 2026.

Overview

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ITproposal

ITproposal is a Dutch IT services company headquartered in Amsterdam that provides service desk support, managed IT services, cybersecurity, cloud and network management, hardware and IT staffing to small businesses and enterprises. Founded in 2019 by Enes Bagci and Tunahan Gider, it serves more than 150 clients from offices in Amsterdam, Antwerp and Karaman, and places engineers on fixed-term assignments at client sites across Europe and beyond. Its job board lists contract roles such as Nutanix and networking support engineers in many countries, SAP Basis consultants, IAM engineers for SailPoint and other IT specialists in the Netherlands and Belgium.

itproposal.com • HQ: Amsterdam, Netherlands • Cybersecurity • Managed IT Services (MSP) • Information Technology • 501-1000 employees • Est. 2019

Tech stack of ITproposal

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

Requirement ID: 10947672

Location: Amsterdam, Netherlands (TNDL - Amsterdam)

Work Model: Complete Onsite

Start Date: 10 Sep 2026

Duration: 6 Months

Status: Open

Rate: Neg Language 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

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