Senior Data Engineer: Scalable Data Platforms & Analytics

Communityconsulting; Anderlecht; Hybride; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Community Consulting is strengthening its Customer & Servicing domain to support a growing data ecosystem and analytics stack. The Senior Data Engineer / Data Engineering Lead will design and operate reliable data products, enabling BI, Analytics and Data Science teams to consume trusted data.

The role focuses on building robust data pipelines, data lake/warehouse architectures and enforcing engineering best practices across enterprise-scale environments.

Qualifications

• Minimum 5 years of Data Engineering experience or equivalent in a similar role.
• Master’s Degree in Computer Science, Engineering or equivalent.
• Strong SQL skills with at least 5 years of experience.
• Strong Python development skills with at least 5 years of experience.
• Experience with Spark, Hive or similar big data technologies, including at least 4 years with Hadoop-related technologies.
• Strong experience with Microsoft Azure and/or AWS data platforms, with at least 5 years of cloud experience.
• Experience with Microsoft Fabric, Synapse, Data Factory or equivalent cloud data platforms.
• Strong ETL/ELT and data integration experience.
• Experience designing and operating production-grade analytics and data platforms.
• Experience designing reliable data pipelines and analytics interfaces.
• Experience implementing monitoring, observability and operational support mechanisms.
• Strong understanding of data quality management.
• Understanding of CI/CD and DevOps principles applied to data platforms.
• Experience in large-scale enterprise environments with multiple stakeholders.
• At least 3 years of experience working with Agile methodologies.
• Professional proficiency in English.

Responsabilités

• Design, develop and maintain robust data pipelines and integrations across systems like Microsoft Dynamics 365 and cloud platforms.
• Gather, consolidate and prepare data for BI, Analytics and Data Science teams.
• Develop and maintain Data Lake, Data Warehouse and Data Mart architectures.
• Define data engineering standards, patterns and best practices.
• Ensure data solutions are scalable, secure and aligned with enterprise architecture.
• Implement data quality controls and validation mechanisms.
• Establish monitoring and alerting for data pipelines and interfaces.
• Promote reliability and recovery capabilities for production data products.
• Collaborate with Data, Architecture and Governance teams.
• Coach developers and analysts on data engineering principles.

Connaissances

SQL

Python

Big data

CI/CD

Agile

English

Data quality

Formation

Master's degree in CS/Engineering or equivalent

Outils

Spark

Hive

Hadoop

Azure

AWS

Fabric/Synapse/DF

Description du poste

Community Consulting is strengthening its Customer & Servicing domain to support a growing data ecosystem and analytics stack. The Senior Data Engineer / Data Engineering Lead will design and operate reliable data products, enabling BI, Analytics and Data Science teams to consume trusted data.

The role focuses on building robust data pipelines, data lake/warehouse architectures and enforcing engineering best practices across enterprise-scale environments.