Data Engineer (Managed Data Service)

We believe that technology with strong human values can actively drive change for the better. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We are looking for a highly motivated Data Engineer to leverage their experience in the public cloud to interpret our customers' business and technical requirements in order to extract the value from their data.

Requirements

• BA/BS in Computer Science or Math, or related technical field / equivalent experience
• Experience in one or more development languages, with a strong preference for Python, Java
• Basic knowledge of GO
• Good DBT knowledge
• Proficient in SQL
• Good knowledge of Looker and/or Power BI
• Some experience with programming in Agile methodology
• Knowledge of database and data analysis technologies, including relational and NoSQL databases, data warehouse design, and ETL/ELT pipelines.
• Relevant experience with Azure/AWS/GCP data products and services
• Fluency in English

Benefits

• B2B or Employment contract
• Hybrid working model
• Up to 26 days of vacation per year
• MultiSport card (70 % of costs covered by Devoteam)
• Cafeteria (200 points/month)
• Contribution for glasses
• Flexible working hours
• Career Management, training and certifications in the best breed of technologies
• Private medical healthcare including dental package
• Referral program
• Foreign business trips
• Above standard working equipment (possibility of purchasing equipment)
• Coffee, tea, snacks in the office
• Company events and team buildings
• Friendly and open culture
• Pet friendly office
• Transparent framework for career growth
• Trust and autonomy, with no micro-management
• Learning from senior colleagues and opportunities to collaborate with professionals from various industries
• Opportunities to attend conferences to keep skills up-to-date
• Working on a variety of international projects for a broader range of experience
• Adoption and utilization of evolving IT technologies
• Usage of AI tools and access to elaborate, tailored AI training