Data Engineer

i4m; 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

Function

We're looking for an experienced Data Engineering professional to join our client's development team and contribute to large-scale digital transformation initiatives. In this role, you'll act as the bridge between business requirements and technical implementation, ensuring reliable data flows, high-quality reporting and robust data management practices. You'll play an important role in strengthening data quality, traceability, automation and DevOps processes throughout the entire data lifecycle.

Responsibilities

• Translate architectural, security, GDPR and internal IT requirements into clear functional and technical specifications for data flows and reporting solutions.
• Collaborate with Product Owners and Functional Analysts to identify business information needs and translate them into user stories with well-defined acceptance criteria.
• Establish consistent data definitions and KPI calculation logic through data dictionaries and semantic layers.
• Act as the team's main point of contact for data engineering and BI-related topics, coordinating with developers, architects, testers and business stakeholders.
• Design, implement and monitor data quality controls covering completeness, accuracy, consistency and timeliness.
• Integrate quality checks into data loading processes, investigate anomalies and maintain documentation covering data lineage, models and processes.
• Monitor and report on data quality performance to relevant stakeholders and management.
• Set up and maintain CI/CD pipelines for data processes, models and reports, including Git-based version control, branching strategies, code reviews, automated testing and controlled deployments.
• Implement monitoring and alerting mechanisms for data pipelines and batch processes, while supporting release, change and incident management.
• Develop and maintain ETL/ELT processes and reliable data publication layers for BI reporting.
• Contribute to the continuous improvement of the data platform, promoting reusable solutions and reducing unnecessary dependency on specific technologies.
• Prepare well-documented, high-quality datasets with secure access controls to support future advanced analytics and AI initiatives.
• Ensure end-to-end traceability of data, technical decisions, code and testing activities in line with internal governance and audit requirements.
• Contribute to information security, GDPR compliance and access management, including least-privilege principles and row-level security.

Technical Profile

• Bachelor's or Master's degree in ICT or a related field, or equivalent professional experience.
• At least 5 years of relevant experience in data engineering, data warehousing or Business Intelligence.
• Minimum 2 years of experience working in a development team using CI/CD practices.
• Expert-level SQL skills and solid knowledge of data modelling techniques, including Kimball and/or Data Vault, Slowly Changing Dimensions (SCD) and incremental loading.
• Proven experience with ETL/ELT processes and batch data processing.
• Hands-on experience with Git, branching strategies, code reviews and CI/CD tools such as GitHub Actions, Azure DevOps or GitLab CI.
• Experience with automated testing and data quality frameworks, such as dbt tests or equivalent solutions.
• Knowledge of monitoring and alerting mechanisms for data pipelines and processing activities.
• Experience with BI tools such as SAS Visual Analytics, Power BI and/or Apache Superset, as well as semantic layer concepts.
• Working knowledge of SAS 9.4 is an advantage.
• Additional experience with Python, dbt, Docker and Azure is considered a plus.
• Familiarity with Jira and/or Azure Boards.
• Strong analytical skills, attention to detail and a quality-driven mindset.
• Structured, pragmatic and proactive, with a natural interest in automation and continuous improvement.
• Excellent communication skills and the ability to translate complex or unclear business needs into practical technical solutions.
• Comfortable working with both technical and non-technical stakeholders.
• Autonomous, collaborative and results-oriented, with the ability to operate effectively in a complex environment.
• Previous experience in the public sector is considered an asset.

Practical Information

• Languages: Fluent Dutch or French is required, together with an understanding of the other national language. Functional knowledge of English is also necessary.
• Certifications: Relevant certifications are considered an advantage, including DAMA CDMP, data management or data quality certifications, cloud data engineering certifications and DevOps-related qualifications.

Contactperson & Reference

• Reference #: INW28703
• Marilyn Weytens
• [e-mail]