Mid-Level Data Engineer

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Sonepar

WebsiteLinkedInAll Job Openings

10,000+ employees

🤝 B2B

📦 Logistics

B2B • Logistics

Sonepar is a global distributor of electrical products and related services. According to its careers site, Sonepar comprises 90 leading brands operating in 40 countries and offers broad international career opportunities; it emphasizes distribution of electrical supplies through many local brands and a global network. The company focuses on serving professional customers through wholesale/distribution channels and supporting an extensive supply chain and logistics operation.

📋 Description

• Build and evolve scalable data pipelines. • Develop data ingestion, transformation, and provisioning processes. • Work with Spark and Databricks using a medallion architecture (Bronze/Silver/Gold). • Orchestrate data workflows and pipelines. • Ensure data quality, governance, and observability. • Optimize processing performance and cost. • Contribute to engineering best practices, version control, and documentation. • Support BI, Analytics, and AI teams and projects with reliable, well-organized data.

🎯 Requirements

• Bachelor's degree in Information Technology, Engineering, or a related field. • Experience in data engineering and developing ETL/ELT pipelines. • Proficiency in Python and advanced SQL. • Experience with Spark and Databricks. • Knowledge of Lakehouse/Data Lake architectures. • Familiarity with orchestration tools such as Apache Airflow. • Knowledge of analytical data modeling (Star Schema, Snowflake, OBT, among others). • Experience with dbt for data transformation and modeling. • Experience with data ingestion and integration tools (e.g., Azure Data Factory, Airbyte). • Experience with Git and development best practices.

🏖️ Benefits

• Opportunities for professional development • Dynamic work environment • Recognition of effort and celebration of achievements • Diverse team