

Opdrachten
Info
Functie
Software Engineer / Data Foundation Consumer DataLocatie
Uren per week
40 uren per weekLooptijd
12.03.2026 - 27.02.2027Opdrachtnummer
279960Sluitingsdatum
Language : English and Dutch mandatory
ZZP Allowed : No
Description Vacancy : Software Engineer / Data Foundation Consumer Data
Profile:
We are seeking a highly skilled and experienced Software Engineer to join our Data Foundation team. Our ideal candidate is a proactive team player with a DevOps mindset and strong affinity for data (engineering). You are a people-oriented collaborator who reasons from the users' perspective, are inspiring, make promises and keep them. You show decisiveness, courage and a continuous drive to keep improving. You have a good understanding of data processing and storage. Knowledge and practical know-how about ETL / ELT (e.g. DataBricks) and SQL cloud native databases in Azure is essential. You also need to be able to expose data via API's and / or Event Streams (e.g. Kafka).
Required knowledge and experience:
- Extensive knowledge on (entire) Azure Cloud Infrastructure stack
- Design & implement Infra-As-Code solutions using Bicep
- Azure DevOps pipelines and CI/CD
- Toolsets for Data analysis (Databricks, Azure Synapse, Data Factory)
- Scripting languages (e.g. Python, Bash, Powershell)
- Set-up and integrate API's or Event Streams
- Relational Databases (MSSQL, MySQL, Postgress)
- Versioning in Git (Azure DevOps)
- AI tooling and AI integration in your platforms
Preferred Skills & competencies:
- Excellent problem-solving and analytical skills;
- Strong communication and documentation abilities;
- Collaborative;
- Used to working in a complex environment;
- Experience with DevOps way of working;
- Good at creating insight and overview;
- Quick learner.
Rabobank
Language : English and Dutch mandatory
ZZP Allowed : No
Description Vacancy : Software Engineer / Data Foundation Consumer Data
Profile:
We are seeking a highly skilled and experienced Software Engineer to join our Data Foundation team. Our ideal candidate is a proactive team player with a DevOps mindset and strong affinity for data (engineering). You are a people-oriented collaborator who reasons from the users' perspective, are inspiring, make promises and keep them. You show decisiveness, courage and a continuous drive to keep improving. You have a good understanding of data processing and storage. Knowledge and practical know-how about ETL / ELT (e.g. DataBricks) and SQL cloud native databases in Azure is essential. You also need to be able to expose data via API's and / or Event Streams (e.g. Kafka).
Required knowledge and experience:
- Extensive knowledge on (entire) Azure Cloud Infrastructure stack
- Design & implement Infra-As-Code solutions using Bicep
- Azure DevOps pipelines and CI/CD
- Toolsets for Data analysis (Databricks, Azure Synapse, Data Factory)
- Scripting languages (e.g. Python, Bash, Powershell)
- Set-up and integrate API's or Event Streams
- Relational Databases (MSSQL, MySQL, Postgress)
- Versioning in Git (Azure DevOps)
- AI tooling and AI integration in your platforms
Preferred Skills & competencies:
- Excellent problem-solving and analytical skills;
- Strong communication and documentation abilities;
- Collaborative;
- Used to working in a complex environment;
- Experience with DevOps way of working;
- Good at creating insight and overview;
- Quick learner.
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