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DATA ENGINEER
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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. #DataEngineer #ETL #Java #Python #BigData #DataAnalytics #Banking #Insurance #Nexeo #HybridWork #CareerOpportunity
