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# Data Engineer

- **Company:** Harnham Bekijk Alle Vacatures
- **Location:** Amsterdam, Netherlands
- **Experience:** Expert
- **Salary:** €5,833.0 - €6,667.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Big Data, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Distributed Systems, Python (Programming Language), Machine Learning, Workflow Management Systems, Cloud Platform System, Sql Optimization, Data Management, Stream Processing, Data Pipelines
- **Published:** September 15, 2026
- **Apply:** https://www.careerjet.nl/job/nl9cf51bf0eafd775de87f70556a2070f8/eaa

## About the Role

* Strong commercial experience as a Data Engineer or Senior Data Engineer
 * Advanced SQL skills and strong capability in Python
 * Experience building and maintaining modern cloud data platforms, ideally on Azure, AWS, or GCP
 * Expertise in data modelling, ETL/ELT development, and data warehousing concepts
 * Experience with orchestration and workflow tools such as Airflow or similar technologies
 * Knowledge of modern data architecture principles and scalable distributed systems
 * Experience working with large, complex datasets in a commercial environment
 * Strong stakeholder management and communication skills
 * Ability to work collaboratively across technical and non-technical teams
 * Passion for data, continuous improvement, and delivering business value

## Description

This is an exciting opportunity for a Senior Data Engineer to join a well-established retailer operating at scale across multiple markets. You'll play a key role in shaping a modern data platform, enabling data-driven decision-making, and delivering impactful solutions that support both customer and commercial outcomes., As a Senior Data Engineer, you will help design, build, and optimise scalable data solutions across the business.
Responsibilities include:

 * Designing and developing robust data pipelines for batch and real-time data processing
 * Building and maintaining cloud-based data platforms and data warehouses
 * Supporting the delivery of analytics, reporting, and machine learning initiatives
 * Improving data quality, governance, monitoring, and observability across the platform
 * Collaborating with Data Analysts, Data Scientists, Product teams, and business stakeholders
 * Driving best practice in data engineering, architecture, and platform performance
 * Contributing to technical strategy and mentoring colleagues within the data team
 * Identifying opportunities to improve efficiency through automation and scalable engineering solutions


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