Data Engineer: Build Scalable Pipelines & Dashboards (Hybrid)

Booking Experts B.V.; Enschede; Hybrid; EUR 45,000 - 77,000; Full time

Benefits offered by this job

MacBook

External monitor

Sit-stand desk

Hybrid work (Enschede Zwolle or from h

Training & certifications

Cycle-to-work scheme

25 holiday days

Free catered lunch daily

Buddy to help you get up to speed

Informal culture

Job summary

Booking Experts is seeking a Data Engineer to design, build, and maintain data pipelines and infrastructure that turn raw data into insights for customers and internal teams. You will collaborate with Product, Engineering, and Business units to deliver data solutions across the platform.

The role emphasizes developing scalable ETL processes, data models for Revenue Management, and customer-facing dashboards, with emphasis on PostgreSQL and BigQuery performance and internal data support.

Qualifications

• At least 5 years of experience in a similar Data Engineer role.
• Excellent proficiency in Python, SQL, and modern ETL processes.
• Solid experience with databases such as PostgreSQL and BigQuery.
• A Degree (BSc/MSc or equivalent) in Computer Science, Data Science, or a related field.
• Affinity for backend development (Ruby on Rails) or applied AI is a plus.

Responsibilities

• Design, build, and maintain scalable ETL processes and data pipelines.
• Develop data models for Revenue Management products.
• Build customer-facing dashboards and self-service analytics.
• Optimize PostgreSQL and BigQuery for performance.
• Support internal teams with data on product usage, operations, and business performance.

Skills

Python

SQL

ETL

Data modeling

Data pipelines

Dashboards

Ruby on Rails (bonus)

Education

BSc or MSc in Computer Science / Data Science

Tools

PostgreSQL

BigQuery

Ruby on Rails

Job description

Booking Experts is seeking a Data Engineer to design, build, and maintain data pipelines and infrastructure that turn raw data into insights for customers and internal teams. You will collaborate with Product, Engineering, and Business units to deliver data solutions across the platform.

The role emphasizes developing scalable ETL processes, data models for Revenue Management, and customer-facing dashboards, with emphasis on PostgreSQL and BigQuery performance and internal data support.