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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