Data Engineer

Harnham; Eindhoven; Hybrid; EUR 59,000 - 72,000; Full time

Benefits offered by this job

Competitive salary

Impact at scale

Collaborative data team

Growth opportunities

Job summary

Harnham Eindhoven is seeking a Data Engineer to build analytics-ready datasets and semantic models, enabling scalable analytics across a large customer base. You will develop ETL pipelines using SQL and Python (or PySpark), implement lakehouse architectures, and ensure data security with multi-tenant and row-level controls.

Collaborate with analysts and stakeholders to translate requirements and drive data governance and quality initiatives.

Qualifications

• Strong commercial experience as a Data Engineer within complex data environments.
• Solid knowledge of data modeling, ETL development, and analytics-ready data design.
• Strong proficiency in SQL and Python, with experience in scalable data processing.
• Hands-on experience with modern data platforms and lakehouse architectures.

Responsibilities

• Design and build reliable, scalable, and analytics-ready datasets and semantic models.
• Develop robust data models and ETL pipelines using SQL and Python or PySpark.
• Implement lakehouse and medallion architectures across ingestion, enrichment, and consumption layers.
• Establish multi-tenant data security, including row-level security within the semantic and BI layers.
• Optimize performance and costs through monitoring and targeted improvements.
• Work closely with data analysts and business stakeholders to translate data requirements into effective solutions.
• Contribute to data governance, data quality, lineage, and compliance initiatives.

Skills

Data engineering

Data modeling

ETL development

Analytics-ready data design

SQL

Python

Stakeholder communication

Dutch language (B-level)

Tools

PySpark

Lakehouse architectures

Job description

Eindhoven, Netherlands (2 days per week in the office)

Up to €65,000 per year

This role stands out because of its scale and impact. You will build and maintain the data foundations that enable analytics and reporting for a large and diverse customer base. You'll work on complex data challenges where quality, security, and performance are at the core of everything you do.

The Company

Our client is a data-driven organization with a modern, cloud-based platform for analytics and insights. Data plays a critical role in both its products and decision-making processes. The data team is viewed as a strategic partner within the business and collaborates closely with other departments. The culture is highly collaborative, with a strong focus on ownership and continuous improvement.

The Role

• Design and build reliable, scalable, and analytics-ready datasets and semantic models.
• Develop robust data models and ETL pipelines using SQL and Python or PySpark.
• Implement lakehouse and medallion architectures across ingestion, enrichment, and consumption layers.
• Establish multi-tenant data security, including row-level security within the semantic and BI layers.
• Optimize performance and costs through monitoring and targeted improvements.
• Work closely with data analysts and business stakeholders to translate data requirements into effective solutions.
• Contribute to data governance, data quality, lineage, and compliance initiatives.

Experience Required

• Strong commercial experience as a Data Engineer within complex data environments.
• Solid knowledge of data modeling, ETL development, and analytics-ready data design.
• Strong proficiency in SQL and Python, with experience in scalable data processing.
• Hands-on experience with modern data platforms and lakehouse architectures.
• Knowledge of data security concepts, including multi-tenant and row-level security.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• B-Level Dutch required. (English speaking can be the primary language in the role, but looking for people open to learning Dutch).
• A pragmatic mindset with a focus on quality, performance, and ownership.

What's on Offer

• A competitive salary and attractive benefits package.
• The opportunity to work on data solutions that deliver visible impact at scale.
• A professional and collaborative data team with a strong engineering culture.
• Plenty of scope for personal and professional growth within data and analytics.