Data Engineer – Role Overview

We are seeking an experienced Data Engineer to join a data-driven development team focused on unlocking, processing, and modeling data from multiple sources. The role centers on building reliable, scalable, and high-quality data solutions that enable data-driven decision-making across the organization.

Key Responsibilities

Analyze and translate business processes into technical data solutions that deliver strategic and tactical insights.
Design, develop, and maintain scalable data models (Data Vault and dimensional/Kimball).
Build and optimize ETL processes and data pipelines to ensure data reliability, completeness, and timeliness.
Identify opportunities to improve data usage and extract value from complex and fragmented datasets.
Collaborate with cross-functional teams to develop and enhance data products.
Advise stakeholders by uncovering underlying business needs and translating them into effective solutions.
Contribute to continuous improvement, knowledge sharing, and team development within an Agile environment.

Technical Environment

Modern data architecture leveraging tools such as Snowflake, Matillion, and Power BI. Work involves large datasets, diverse source systems, and a dynamic cloud-based IT landscape.

Requirements

HBO/WO level (e.g., IT, Business Administration, or related field).
Strong SQL skills (core competency).
3–5 years of experience in data modeling (dimensional and/or Data Vault).
Solid understanding of ETL processes, data warehousing, and cloud environments.
Proactive mindset with the ability to identify and implement improvements independently.
Strong analytical and communication skills.

Nice to Have

Experience with Snowflake, Matillion, and AWS.
Knowledge of Python and API integrations.
Experience with Power BI.
Familiarity with Agile frameworks (Scrum/SAFe).

Location: s-Hertogenbosch
Duration: 8 Months

Senior Data Engineer