Macaw is a digital service provider specializing in solutions for digital marketing, e-commerce, data analytics, and AI. Leveraging Microsoft and Sitecore technologies, Macaw accelerates digital transformation for clients like Heineken and Deutsche Telekom through creativity, data, and technology. With a unique company culture and expertise from over 500 employees worldwide, Macaw offers comprehensive services in business applications, customer experience, and cloud solutions.
Open Positions
Account Manager Financial Services
Commercial experience, network in Financial Services, consultative selling skills, and knowledge of Microsoft portfolio required
Azure AI & Integration Developer (Microsoft Stack)
Strong C#/.NET skills, hands-on Azure experience, AI knowledge, and team collaboration skills are required
Solution Architect AI & Digital Products
5+ years exp in solution architect, background in AI-infused products, broad AI knowledge, pre-sales experience, and strong technical skills
Senior Project Manager
5-7 years experience with Software development, Cloud migration, or AI-related projects, with a proven track record of successful projects
AI Expert Initiativbewerbung (m/w/d)
AI expertise, curiosity, creativity, and enthusiasm for technology
Solution Architect Content & Commerce
Seeking a Solution Architect with +5 years experience. Requires knowledge of composable architectures, CMS systems like Optimizely and front-end frameworks like React.js. Excellent problem-solving and communication skills are essential
Data Architect
Seeking a Data Architect with 3+ years of experience in a similar role. Must be fluent in Dutch and proficient in English, with a plus for German. Experience with Azure Data Factory, Databricks, and Synapse Analytics is crucial
Initiative Applications
high school diploma, 0 years of experience, relevant certificates and/or work samples
Open sollicitatie
Submit your CV and a short description of your desired role. Candidates should be interested in Macaw and its focus on AI and Microsoft technologies
Data Engineer
2+ years' experience in Data Engineering, proficiency in Python, SQL, and PySpark, experience with cloud platforms, and interest in new technologies
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