Big Data Engineer - Utrecht (NL) - Consulting

IT & Technology
English, Dutch


As a (Big) Data Engineer, we want you to:

  • Create, maintain and optimize data pipeline architecture
  • Build on large complex data sets that meet functional / non- functional requirements set by business
  • Identify, design, and implement internal process improvements, with your creativity you will automate manual processes, optimizing data delivery, re-designing infrastructure for greater scalability where needed
  • Build and maintain data pipeline infrastructures for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, PostgreSQL and cloud-based technologies like Azure, AWS, Google Cloud
  • Work with clients, data and analytics experts to improve our data systems and deliver richer functionalities to our clients


Your profile:

  • High curiosity level for Data, Analytics, and Artificial Intelligence
  • Asking questions for the matter you don’t understand but would like to
  • Hands-on experience with data storage relational- (SQL Server, PostgreSQL, MySQL etc.) and non-relational- (HDFS, HBase, Cassandra, MongoDB) databases and cloud-based platforms (Azure, AWS, Google Cloud)
  • Knowledge of data manipulation and transformation, e.g. SQL, R
  • Hands-on experience building complex data pipelines e.g. ETL
  • Programming skills in e.g. Python, R
  • Experience in all word combinations of the extract, load & transform process

Salary Benefits:

Their offer

  • Nice salary with an challenging job in a fun organisation
  • Lots of Data Support to keep learning and follow training and/or visit conferences
  • A nice office in the heart of Utrecht
About the company:

Company Overview:

Our client is a full-service Data Science company based in the centre of Utrecht. On strategic, tactical and operational levels, companies are always looking for possibilities to improve, adapt or change their business models through distinct types of innovation. 

Our client has a thorough understanding of business, IT and data, as well as the ability to guide their clients through each step of data-driven transformation.