Data Engineer: Scalable Pipelines & BI Solutions in Utrecht

Relevant Online; Utrecht; Hybride; EUR 33 000 - 56 000; Plein temps

Avantages offerts par ce poste

Profit sharing

Free lunch

Holidays 25+ yearly

Laptop provided

Phone plan with data

Career growth opportunities

Flexible hours 32h/week

Travel allowance

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Python

GCP

SQL

BigQuery

ETL pipelines

Git

CI/CD

Terraform

Docker

DevOps

Architecture

Communication

Outils

Git

CI/CD

Terraform

Docker

Description du poste

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.