This boutique consultancy based in Amsterdam is specialized in Big Data and Machine Learning and helping sales and marketing teams with data-driven advice. The small, profitable and self-funded growing company believes data can change the quality of life in companies.
At the moment the team contains of 16 people, all super experienced and ambitious Data specialists: Data Engineers, DataOps Engineers and Data Scientists. This company is looking ahead and is growing bigger, therefore they are looking for likeminded Data lovers.
Smart, ambitious, fun and communicative people who are willing to learn and are trainable. They describe themselves as people-oriented with a focus on the consultants and their carreer development. They promise you to grow three times faster within your role in comparison to other consultancy’s. The personal attention and training you will obtain makes this possible.
The core values of this company are:
Examples of company’s the teams are working for are Friesland Campina, CarNext and VodafoneZiggo.
Currently the team is working on a project with Data Mesh, a hot-topic in Data Science land. You might have heard about it before, but if not: it’s the new and updated version of a Data Lake. A data platform architecture that embraces the ubiquity of data in the company by using a domain-oriented and self-serving design. They are working on one of the largest implemention of an event-driven, serverless Data Mesh on AWS in Europe.
This company is looking for pragmatic Data Engineers to join the team. If you are enthousiastic and want to be part of this big implemention, you will be one of the players in this team. They are looking for someone with experience with AWS services (Lambda, Glue, Lake formation), Spark (Scala/Python) and Kafka.
This company is also looking for DataOps Engineers and Data Scientists, please let me know if you want more information regarding those positions.
If this job sounds interesting to you, or if you know someone who would be interested, please let me know! You can send me a message on email@example.com or 06 82222384.