Nexeo Belgium is a consulting company supporting clients in banking, finance, insurance, and public sectors throughout their digital transformation projects.

We are currently looking for a Data Engineer to join a cross-functional Data & Analytics team within the IT department of a leading organization.

Mission Context

The Data & Analytics team is responsible for building and maintaining large-scale data platforms that enable business insights, reporting, and advanced analytics.

As a Data Engineer, you will design, develop, and optimize robust data pipelines, ensure high-quality data delivery, and collaborate closely with Data Scientists, Business Analysts, and IT teams to support data-driven decision making.

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines for large-scale databases (Oracle, SybaseIQ, SQL Server, etc.).
• Develop and maintain data processing applications using Java, Python, or Spark.
• Ensure data quality, consistency, and integrity across all platforms.
• Collaborate with Business Analysts and Data Scientists to translate business requirements into technical solutions.
• Optimize batch processing, scheduling, and data workflows for performance and scalability.
• Implement monitoring, alerting, and automation for data pipelines.
• Support data governance, security, and compliance initiatives (e.g., GDPR).
• Troubleshoot complex data issues and implement continuous process improvements.

Profile

Languages

• English – Fluent (mandatory)
• Dutch or French – Fluent or good understanding

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field, or equivalent professional experience in data-intensive roles.

Experience & Technical Skills

Mandatory

• 3+ years of experience as a Data Engineer or in a similar data-intensive role.
• Strong expertise in ETL tools (Informatica, Talend, DataStage, etc.).
• Experience with large-scale databases and SQL optimization.
• Proficient in programming languages: Java, Python, or similar.
• Knowledge of data pipeline scheduling, monitoring, and performance tuning.

Preferred

• Experience with big data platforms (Hadoop, Spark, Hive, etc.).
• Familiarity with cloud data platforms (AWS, Azure, GCP).
• Knowledge of CI/CD, DevOps practices, and automation of data workflows.
• Experience in banking, finance, or insurance is a plus.

Soft Skills

• Strong analytical, problem-solving, and troubleshooting skills.
• Autonomous, proactive, and results-oriented.
• Excellent communication and collaboration skills in cross-functional teams.
• Ability to manage multiple priorities in a fast-paced environment.

This is a high-impact opportunity to work on large-scale data platforms, enable advanced analytics, and collaborate with a team of experts to deliver reliable and high-quality data solutions.

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