Senior Data Engineer – Cloud Data Pipelines for Finance

Ernst & Young Advisory Services Sdn Bhd; Diegem; Sur place; EUR 45 000 - 60 000; Plein temps

Avantages offerts par ce poste

Flexible working arrangements

Extensive training on technical matters

Access to new technologies

Résumé du poste

A leading global professional services firm in Belgium is seeking a Data Engineer to join their team. In this role, you will develop and maintain data pipelines, manage cloud platforms, and collaborate with stakeholders to support business objectives. The ideal candidate has a Master's degree and experience in data engineering, along with proficiency in Python and SQL. Flexible working arrangements and training opportunities are provided.

Qualifications

• Proven experience in data engineering roles, demonstrating a solid understanding of data modeling and platform building.
• Experience with Azure and Databricks is significant for cloud-based data platforms.

Responsabilités

• Design, build, and maintain robust data pipelines using modern tools for efficient ETL/ELT processes.
• Lead and execute data migration projects ensuring data integrity and quality.
• Set up, configure, and manage cloud-based data platforms.
• Work closely with business stakeholders to align data efforts with business objectives.
• Implement DataOps practices for enhanced collaboration between teams.
• Stay updated with latest technologies in data engineering.

Connaissances

Proficient in Python and Coding

SQL Proficiency

Collaborative Team Player

Strong Communication Skills

Proactive Attitude

Client-Facing Experience

Cloud Technologies Knowledge

Database Technologies Expertise

Language Proficiency (Dutch or French)

Formation

Master’s degree in computer science, engineering, mathematics or another relevant subject

Outils

Databricks

Azure

Description du poste

A leading global professional services firm in Belgium is seeking a Data Engineer to join their team. In this role, you will develop and maintain data pipelines, manage cloud platforms, and collaborate with stakeholders to support business objectives. The ideal candidate has a Master's degree and experience in data engineering, along with proficiency in Python and SQL. Flexible working arrangements and training opportunities are provided.