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Medior Data Engineer

Company

Unknown

Role

Medior Data Engineer

Location

ROTTERDAM, Netherlands

Job type

Temporary

Found on Mokaru

3 weeks ago

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Salary

Not disclosed by employer

Job description

Medior Data Engineer Information Technology Rotterdam Fulltime Permanent Share Medior Data Engineer Are you a Medior Data Engineer (5+ years) who wants to work with large-scale data, Python, SQL and ETL in a business where data directly supports trading decisions? Are you ready to deliver data insights in the world of commodity trading? If this sounds interesting to you, then working at Cefetra is for you! Who we are Ceras-Analytics is part of the Cefetra Group, an established multinational. Ceras-Analytics was launched in late 2022 and can be considered a start-up. The Cefetra Group consists of various agricultural and food ingredients trading as well as supply chain management companies, with leading brands in the ingredients business. Collectively, we employ over 700 people across 35 offices in 20 countries around the world. We work closely together to guarantee the best possible service to our customers. Together with suppliers, we develop supply chains and create value by sourcing and supplying raw materials to the international food and feed industry. The Job As Medior Data Engineer, you will help develop, maintain and improve the data foundation behind Ceras-Analytics. Your work will support market analysts, traders and external users by making sure our data is reliable, scalable and easy to use. You will work with large and diverse datasets, including exports, imports, prices, weather data and other market-related information. Our current datasets contain more than 30 billion records, and our platform continues to grow with new products, new clients and new data sources. In this role, you will be responsible for: - Build, maintain and improve automated Python scripts for data collection and processing. - Design and implement database structures in PostgreSQL. - Develop and automate ETL pipelines for new and existing datasets. - Combine and consolidate data from different sources into clear, usable data mod...

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