Data Engineer

Relevant Online
Utrecht, Netherlands
about 1 month ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Big Data BigQuery Continuous Integration Data Integrity Extract Transform Load (ETL) Data Systems DevOps Python (Programming Language) Machine Learning NoSQL SQL Databases Data Streaming
+8 more
Google Cloud Data Storage Technologies Cloud Platform System Data Ingestion Git Terraform Data Pipelines Docker

Job description

  • Design and implement scalable and reliable data pipelines for data ingestion, transformation, and integration.
  • Architect and optimize scalable, high-performance data warehousing solutions to ensure reliability and efficiency.
  • Work closely with clients and stakeholders to understand their business needs, translate them into technical solutions, and deliver impactful results.
  • Ensure data systems meet quality, governance, and compliance standards.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences.
  • Share knowledge with the team to foster collaboration and continuous improvement.

Requirements

We’re looking for a Data Engineer to join our team and help build robust, scalable data solutions. This role is ideal for someone who enjoys optimizing data pipelines, ensuring data reliability, and working with large-scale datasets to support business intelligence and machine learning initiatives. Strong problem-solving skills, effective communication, and the ability to align technical solutions with business needs are essential. With a variety of projects and clients, adaptability, collaboration, and a solution-oriented mindset are key to success in this role.

For all vacancies we require candidates who are based in or around Utrecht (you should be able to commute to our office within 45 minutes)., * Proficiency with Python.

  • Experience in at least one cloud platform, preferably Google Cloud Platform (GCP).
  • Familiarity with SQL, NoSQL databases, and BigQuery for data storage and analysis.
  • Experience building ETL pipelines, preferably for both batch and streaming data, is preferred.
  • Experience with tools like Git, CI/CD pipelines, and Terraform.
  • Familiar with Docker.
  • Preferably with knowledge on DevOps or Arquitecture.
  • Strong communication skills to convey technical concepts effectively.
  • At least 1 year of experience in a role as a data engineer.

Benefits & conditions

Pulled from the full job description

  • Professional development assistance
  • Cell phone reimbursement
  • Profit sharing
  • Commuter assistance, * A competitive salary based on your role and experience + a profit sharing model
  • Daily free lunch in the office
  • 25 holidays per year and one extra for each year you are with us
  • Whether it is your soft skills or your time- and project management skills, you will learn a lot, guaranteed!
  • A strong professional touch-screen laptop for work and personal use
  • Mobile phone subscription with unlimited data and a rich package for abroad
  • You will be able to scale up and grow yourself in a way that suits you. There is no ceiling
  • Working 32 hours per week? Of course!
  • A variety of challenging projects for well known companies
  • Travel expense allowance or NS Business Card

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on nl.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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Comparing traditional SQL tables versus NoSQL non-tabular databases

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Oliver Seitz Oliver Seitz · World Congress 2025

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The true role and evolution of data engineering

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Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

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