Data Engineer JP055033

ITProposal

Namen, Belgium

4 days ago

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Role details

Contract type

Temporary contract

Employment type

Part-time (≤ 32 hours)

Working hours

Regular working hours

Job source

www.adzuna.be

Tech stack

Data Analysis Databases Data Validation Data Cleansing Data Control Data Deduplication Information Engineering Data Governance Data Integration Extract Transform Load (ETL) Reference Data Talend

Job description

Design and implement data integration, data quality and data monitoring processes.
Build and maintain ETL/data integration pipelines, primarily using FME.
Define transformation, normalisation and consolidation rules for data coming from multiple sources.
Develop connectors and integration flows for feeding and distributing reference data.
Implement automated data quality controls, including:
Format validation
Completeness checks
Temporal consistency checks
Cross-source validation
Uniqueness controls
Design mechanisms for detecting anomalies and inconsistencies, including duplicates, outliers and conflicts between systems or data sources.
Develop automated data cleansing and remediation processes, including standardisation, normalisation, deduplication and data enrichment.
Define and monitor key data quality indicators such as accuracy, completeness, consistency, uniqueness, freshness and compliance.
Contribute to dashboards, reporting and continuous improvement of data quality.
Support technical teams in resolving data-related incidents and contribute to integration and testing activities.

Requirements

Confirmed experience as a Data Engineer / ETL-ELT Engineer.
Strong practical experience with ETL tools, particularly FME; knowledge of Talend is also relevant.
Strong knowledge of Data Quality Management.
Experience with data integration, transformation, normalisation and consolidation.
Experience analysing and designing database management systems.
Understanding of data governance principles, including DAMA concepts.
Experience with data validation, anomaly detection and data cleansing.
Strong analytical and problem-solving skills., Experience in the public sector is an advantage. Candidates may also be asked to describe their relevant experience in project management, data modelling/conceptualisation and data quality control. The selection is weighted 70% on technical skills and 30% on a proposed methodology note of maximum one page. If you have strong experience in Data Engineering, FME, ETL/ELT, Data Integration and Data Quality Management, we would like to hear from you.