Senior Data Engineer & Lead - Azure Fabric Data Platform

Cegeka; Brussel; Sur place; EUR 85 000 - 125 000; Plein temps

Résumé du poste

Cegeka in Belgium is seeking a Senior Data Engineer / Data Engineering Lead to shape a modern data ecosystem built on Microsoft Fabric, Azure and advanced analytics platforms. You will design, build and scale data pipelines across the enterprise.

You will mentor teams, establish data standards and drive architecture decisions, partnering with BI, Analytics and Data Science teams to deliver trusted datasets and robust data quality.

Qualifications

• 5+ years of experience as a Data Engineer.
• Strong SQL and Python expertise.
• Experience with Spark, Hive or similar Big Data tech.
• Strong knowledge of Azure Data Services and/or AWS.
• Experience with Microsoft Fabric, Synapse, Data Factory or equivalent.
• Experience with ETL/ELT and cloud data architectures.
• Understanding of Data Quality, CI/CD and DevOps for data platforms.

Responsabilités

• Designing, building and maintaining robust data pipelines and integrations
• Developing scalable Data Lake, Data Warehouse and Data Mart solutions
• Implementing data quality, monitoring and observability practices
• Supporting BI, Analytics and Data Science teams with trusted datasets
• Driving data engineering standards, best practices and architecture decisions
• Coaching and mentoring teams while contributing to the long-term data roadmap

Connaissances

SQL

Python

Big Data

Azure Data Services

AWS

Microsoft Fabric

Synapse

Data Factory

ETL/ELT

CI/CD

DevOps

Outils

Databricks

Power BI

Data Vault

Dimensional Modelling

Star Schema

Description du poste

Cegeka in Belgium is seeking a Senior Data Engineer / Data Engineering Lead to shape a modern data ecosystem built on Microsoft Fabric, Azure and advanced analytics platforms. You will design, build and scale data pipelines across the enterprise.

You will mentor teams, establish data standards and drive architecture decisions, partnering with BI, Analytics and Data Science teams to deliver trusted datasets and robust data quality.