Start date: ASAP
Location: Brussels and Flemish Brabant
Freelance Mission Overview
The role focuses on building and maintaining robust data integration pipelines within a modern data architecture. You design and document ETL processes that transform complex business information into reliable physical data models. These models fuel enterprise reporting, data analytics, machine learning, and operational insights. You work across data warehousing environments, ensure performance and quality before go-live, and contribute to Data Vault structures, Data Marts, ODS layers and Data Lakes on SQL and NoSQL platforms.
Responsibilities
Design, implement, and enhance physical data models and end-to-end data pipelines
Gather integration requirements. translate them into efficient data flows aligned with user needs
Guarantee scalability, performance, accuracy, maintainability, and security
Define and promote standards, tools, and best practices
Apply development practices consistently across all deliverables
Maintain and optimize existing workflows
Investigate issues, communicate with stakeholders, and propose resolutions
Produce and maintain clear documentation
Technical Requirements
Must-have
Strong experience with ETL development (preferably DataStage)
Solid knowledge of relational database platforms (DB2, Netezza)
Excellent SQL skills (DDL, advanced querying, optimization, stored procedures)
Experience with IBM DB2 LUW
Experience with data warehouse appliances (Netezza)
Familiarity with Atlassian tools (Jira, Confluence, Bitbucket)
Experience with workload scheduling (e.g., IBM TWS)
UNIX scripting (KSH, SH, Perl, Python)
Understanding of Agile principles
Nice-to-have
Data modeling approaches (Conceptual, Logical, Physical, Dimensional, Data Vault)
Testing methodologies (scenarios, use cases)
Knowledge of ITIL
OLAP concepts
NoSQL ecosystems
Hadoop stack (HDFS, Spark, HBase, Hive, Sqoop)
Big Data environments
Data Science, Machine Learning, AI concepts
Experience with reporting tools (Tableau)
Soft Skills
Collaborative mindset
Strong analytical and problem-solving abilities
Self-driven and proactive
Ability to manage parallel tasks with limited supervision
Fast learner
Clear communication of complex technical topics to any audience
Ability to understand and translate business needs
Service-oriented
Respect for internal processes and change management rules
Profile \& Education
Master’s degree in computer science or equivalent experience
Additional training in technical systems is a plus
Languages
Dutch or French (native level) with good command of the other
Fluent in English