SDL Fredhopper makes it easy for eCommerce marketers to systematically target the right products and content to the right person at the right time. It is designed to optimize the online shopping experience, while increasing conversion rates, revenue and customer lifetime value. SDL Fredhopper offers cutting-edge cloud technology for Onsite Search, Merchandising, Predictive Targeting and Personalization. Customers include over 200 of the world’s largest and most demanding international online retailers including ASOS, Bijenkorf, Clarks, Conrad, Debenhams, Neckermann, Okaïdi, Otto, Philips, Sarenza, Thomas Cook, Toys R Us and Urban Outfitters.

SDL Fredhopper is a key component of SDL’s technology solutions for Customer Experience Management, helping global brands predict what their customers want and engage with them across multiple languages, cultures, channels and devices. SDL has a unique portfolio of technologies that include social media intelligence, statistical machine translation, world-leading content management technologies, rich media management, mobile and multichannel delivery, customer analytics and more. We are a $400m technology company with over 1,500 enterprise customers, 400 partners and a global infrastructure of 70 offices in 38 countries. Position overview – Junior Data Engineer

Following incredible success worldwide, SDL Fredhopper is looking for a talented Data Engineer to join our professional services team implementing our next generation search and targeting engine at clients. In this challenging role you will analyze various structured and unstructured data sources, mine key information points and combine these into data feeds to our application. Your quality-orientated yet pragmatic mindset will help you to quickly build maintainable large-scale data integrations. Our team of top engineers and ever growing number of international customers provide a unique opportunity to learn fast and gain practical experience in E-commerce and complex data processing.

Minimum qualifications

• University degree in Computer Science or equivalent (last year students will also be considered)
• Excellent analytical and engineering skills
• Hands-on, practical skills in dealing with large amounts of data, working with databases and ETL tools
• Self-thinking and having hands-on approach
• Good communication skills both written and verbal
• Good knowledge of English
• Self starter with strong drive who mobilises people and gets things done

Qualifications considered an advantage

• Java programming skills