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Data Engineer
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Data Engineer Vacature bij Data Science Lab
Data Engineer
Data Science Lab Amsterdam Hybride
Geplaatst op 25 mei 2026
Contractvorm
Vast dienstverband
Locatie
Amsterdam
Niveau
Medior
Sector
Consultancy en Data Services
Link kopiëren Gekopieerd!
You will develop end-to-end data solutions and create a solid data infrastructure in the cloud.
At Data Science Lab, as a Data Engineer, you will work on challenging data projects, working closely with data scientists and data strategy consultants. You will develop end-to-end data solutions and create a solid data infrastructure in the cloud, which is essential for BI, machine learning and AI applications. Your responsibility is to build and maintain ETL pipelines and configure cloud services with DevOps principles. Using an innovative approach, we quickly set up data platforms, deploying technologies such as Azure, Databricks, DBT and Terraform. About you
Naturally, you find our field very interesting. In addition, you are someone who is enterprising and eager to take on projects. Furthermore, we find it important that you: - Minimum of 3 years (medior) or 6 years (senior) demonstrable work experience as a Data Engineer or in a similar role. - Experience with programming in Python/pyspark and writing database queries in SQL. - Experience with version control (preferably Git). - Experience with accessing and integrating data via such things as APIs (REST/GraphQL), message queues and other data sources. - Experience designing, building and optimizing robust and scalable data pipelines, for both batch and streaming data. - Experience with data warehouse and data lake architectures and data modeling (Inmon, Kimball, data vault). You are able to develop scalable and well-structured data models that fit business needs. - Experience with at least one of the modern cloud data platforms: Databricks, Snowflake and/or Microsoft Azure data services (Fabric, Azure Data Factory, S...
Data Engineer
Data Science Lab Amsterdam Hybride
Geplaatst op 25 mei 2026
Contractvorm
Vast dienstverband
Locatie
Amsterdam
Niveau
Medior
Sector
Consultancy en Data Services
Link kopiëren Gekopieerd!
You will develop end-to-end data solutions and create a solid data infrastructure in the cloud.
At Data Science Lab, as a Data Engineer, you will work on challenging data projects, working closely with data scientists and data strategy consultants. You will develop end-to-end data solutions and create a solid data infrastructure in the cloud, which is essential for BI, machine learning and AI applications. Your responsibility is to build and maintain ETL pipelines and configure cloud services with DevOps principles. Using an innovative approach, we quickly set up data platforms, deploying technologies such as Azure, Databricks, DBT and Terraform. About you
Naturally, you find our field very interesting. In addition, you are someone who is enterprising and eager to take on projects. Furthermore, we find it important that you: - Minimum of 3 years (medior) or 6 years (senior) demonstrable work experience as a Data Engineer or in a similar role. - Experience with programming in Python/pyspark and writing database queries in SQL. - Experience with version control (preferably Git). - Experience with accessing and integrating data via such things as APIs (REST/GraphQL), message queues and other data sources. - Experience designing, building and optimizing robust and scalable data pipelines, for both batch and streaming data. - Experience with data warehouse and data lake architectures and data modeling (Inmon, Kimball, data vault). You are able to develop scalable and well-structured data models that fit business needs. - Experience with at least one of the modern cloud data platforms: Databricks, Snowflake and/or Microsoft Azure data services (Fabric, Azure Data Factory, S...