Data Engineer: Scale Data Pipelines & BI in Utrecht

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

Benefits offered by this job

Competitive salary

Daily free lunch

25 holidays per year + 1 extra per own

Laptop for work and personal use

Mobile phone with unlimited data

Travel expense allowance

Job summary

Relevant Online in Utrecht is seeking a Data Engineer to design and optimize scalable data pipelines and data warehousing solutions for complex datasets. You will work with clients on translating business needs into robust technical data solutions, ensuring data quality and governance.

Ideal candidates have 1+ year of data engineering experience, strong Python and cloud skills (GCP preferred), and enjoy collaborating across teams on impactful BI and ML initiatives.

Qualifications

• Proficient in Python for data engineering tasks.
• Experience building scalable data pipelines and data warehousing.
• Familiar with Git, CI/CD pipelines and Terraform tooling.
• Excellent communication to convey technical concepts.

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

Python

Data pipelines

CI/CD

Communication

Tools

Git

CI/CD

Terraform

Docker

Job description

Relevant Online in Utrecht is seeking a Data Engineer to design and optimize scalable data pipelines and data warehousing solutions for complex datasets. You will work with clients on translating business needs into robust technical data solutions, ensuring data quality and governance.

Ideal candidates have 1+ year of data engineering experience, strong Python and cloud skills (GCP preferred), and enjoy collaborating across teams on impactful BI and ML initiatives.