Data engineer

Relevant Online; Utrecht; On-site; EUR 33,000 - 56,000; Full time

Benefits offered by this job

Profit sharing

Free lunch

Holidays 25+ yearly

Laptop provided

Phone plan with data

Career growth opportunities

Flexible hours 32h/week

Travel allowance

Job summary

Relevant Online in Utrecht is seeking a Data Engineer to design and implement scalable data pipelines, build robust data warehousing solutions, and collaborate with clients to translate business needs into technical outcomes. The role focuses on ensuring data reliability, governance, and impactful BI/ML support.

The ideal candidate has strong Python skills, experience with GCP and BigQuery, and a proven ability to develop ETL pipelines for batch and streaming data.

Qualifications

• Minimum 1 year of experience as a data engineer.
• Strong Python programming skills.
• Experience with cloud platforms, preferably GCP.
• SQL/NoSQL and BigQuery experience.
• Experience building ETL pipelines for batch and streaming data.
• Familiar with Git, CI/CD, Terraform, and Docker.
• DevOps or Architecture knowledge is a plus.
• Excellent communication skills to convey technical concepts.

Responsibilities

• Design and implement scalable data pipelines for ingestion, transformation and integration.
• Architect and optimize scalable data warehousing solutions for reliability and efficiency.
• Collaborate with clients and stakeholders to translate business needs into technical solutions.
• Ensure data systems meet quality, governance, and compliance standards.
• Communicate findings clearly to both technical and non-technical audiences.
• Share knowledge to foster collaboration and continuous improvement.

Skills

Python

GCP

SQL

BigQuery

ETL pipelines

Git

CI/CD

Terraform

Docker

DevOps

Architecture

Communication

Tools

Git

CI/CD

Terraform

Docker

Job description

Based in or around Utrecht| 32 to 40 hours | € 3.000 – € 5.000
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.

Responsibilities

• 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.

Skills & Qualifications

• 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.

What we offer

• A competitive salary based on your role and experience + aprofit 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