• Utrecht
• €45000 - €75000 + 13th month + holiday pay + exceptional working conditions and projects
• Posted 4 months ago

Location: Utrecht Head Office, some WFH, some travel, Fridays in the office Salary and package: €45000 - €75000 + 13th month + holiday pay + exceptional working conditions and projects Language requirements: English / Dutch (an advantage but not required)   Do you like skiing, biking and fun week...

• Utrecht
• Very attractive salary, spacious bonus scheme combined with a comprehensive package of secondary conditions.
• Posted 4 months ago

Job title: Data Engineer - Senior / Medior plus Role type: Permanent Company summary:  A start-up with a culture of excellence and balance housing the brightest AI and ML talent in NL Why join: competitive bruto base plus exceptional secondary benefits, ground-breaking image recognition projects ...

• Utrecht
• A competitive fixed and variable salary (variable part also paid monthly) + bonus
• Posted 4 months ago

Job Title: Azure Data Engineer (Azure Synapse / Databricks etc) Location: Utrecht Head Office, national travel to customers (usually one hour) Languages required: English / Dutch Role type: Permanent, Consulting role Visa status: No VISA possibilities   Impact. Is this a word you relate to? Azure...

• Utrecht
• €35000 - €65000 + competitive monthly bonus + car + perm contract
• Posted over 1 year ago

Our client is an exceptional club. They have exceptional talents with the main technical stack being Microsoft / Azure based.  With its versatility as a platform, it’s no wonder why. Having been established just over a year ago, they are growing well with inspiring people. They thrive on challeng...

• Utrecht
• Competitive plus freedom, and exceptional career development
• Posted over 2 years ago

Our client, based in a retro office in Utrecht, creates tailor-made solutions for your Big data issues for high-end customers in the Netherlands.  They do this fast and they do this smart. In the role of Data Engineer you are responsible for setting up and maintaining data landscapes and retrievi...