Data Engineer: Scalable Pipelines & AI-Ready Insights

Bizzy; Gent; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

MacBook Pro

iPhone with subscription

Healthcare benefits plan (incl Alan)

Meal vouchers

Flex Income Plan

Pension saving plan

Flexible working hours & location

Mobility plan

Fresh fruit & cookies

Growth budget

Bizzy merchandise

Team drinks & events

Job summary

Bizzy is building an AI Sales OS in Ghent, Belgium, seeking a Data Engineer to own and scale data pipelines. You will work with Python, SQL, and cloud platforms, shaping the data backbone and enabling data-driven decisions across teams.

You’ll collaborate with senior engineers, learn through pairing, and explore AI/ML enhancements to unlock insights at scale while maintaining high data quality and reliability.

Qualifications

• 3 years in data engineering or similar with production pipelines.
• Proficient in Python and SQL; experience on at least one cloud platform.
• Built ETL/ELT pipelines with focus on reliability and performance.
• Interested in applying AI/ML to data processes.
• Experiences with testing and monitoring at scale.

Responsibilities

• Build and maintain data pipelines
• Connect diverse data sources into a unified stream
• Ensure data quality with tests and monitoring
• Influence data infrastructure decisions
• Automate data monitoring and transformations
• Explore AI/ML enhancements for data pipelines
• Learn through code reviews and pairing

Skills

Python

SQL

Cloud platforms

Spark/Databricks

ETL pipelines

Testing & monitoring

AI/ML curiosity

Data quality

Communication

Tools

Google Cloud

Job description

Bizzy is building an AI Sales OS in Ghent, Belgium, seeking a Data Engineer to own and scale data pipelines. You will work with Python, SQL, and cloud platforms, shaping the data backbone and enabling data-driven decisions across teams.

You’ll collaborate with senior engineers, learn through pairing, and explore AI/ML enhancements to unlock insights at scale while maintaining high data quality and reliability.