Data Engineer | Data Quality, CI/CD & BI Pipelines

In4Matic; Brussel Hoofdstad; Hybrid; EUR 70,000 - 90,000; Full time

Job summary

In4Matic is seeking an accomplished Data Engineering professional to join the development team and drive large-scale digital transformation initiatives. You will bridge business requirements with technical implementation to ensure reliable data flows and high-quality reporting.

Responsibilities include data quality controls, data lineage, CI/CD pipelines, and stakeholder collaboration across data engineering and BI domains. Strong SQL, data modeling, and ETL/ELT experience are essential.

Qualifications

• Bachelor's or Master's in ICT or related field or equivalent experience.
• At least 5 years in data engineering, data warehousing or BI.
• Minimum 2 years in a development team using CI/CD.
• Expert SQL and data modeling (Kimball/Data Vault, SCD, incremental loading).
• Experience with ETL/ELT and batch data processing.
• Git-based versioning and CI/CD tools (GitHub Actions/Azure DevOps/GitLab CI).
• Experience with data quality frameworks and dbt tests.

Responsibilities

• Translate requirements into functional/technical specifications for data flows and reporting solutions.
• Collaborate with Product Owners and Analysts to define business information needs and acceptance criteria.
• Establish data definitions and KPI logic via data dictionaries and semantic layers.
• Act as the data engineering/BI lead, coordinating with developers, architects, testers and stakeholders.
• Design and monitor data quality controls across completeness, accuracy, timeliness.

Skills

SQL

Data modeling

ETL/ELT

Python

CI/CD

Data quality

GDPR

Communication

Education

Bachelor's or Master's in ICT or related field

Tools

GitHub Actions

Azure DevOps

GitLab CI

dbt

SAS Visual Analytics

Job description

In4Matic is seeking an accomplished Data Engineering professional to join the development team and drive large-scale digital transformation initiatives. You will bridge business requirements with technical implementation to ensure reliable data flows and high-quality reporting.

Responsibilities include data quality controls, data lineage, CI/CD pipelines, and stakeholder collaboration across data engineering and BI domains. Strong SQL, data modeling, and ETL/ELT experience are essential.