Data Engineer - AI Pipelines & DataOps

We are seeking a Data Engineer - AI Pipelines & DataOps to design and deliver ingestion pipelines, streaming architectures, and APIs that feed Intersnack's AI and analytics systems with the data they need to perform at scale.

Requirements

• Proven experience designing and implementing production-grade data pipelines using cloud-native services on Microsoft Azure and/or AWS
• Strong proficiency in at least one pipeline or transformation framework (e.g., Apache Spark, dbt, Apache Kafka, or equivalent) and a scripting language such as Python or Scala
• Solid hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, Cosmos DB, MongoDB, or equivalent), including data modelling and query optimisation for both transactional and analytical workloads

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for career growth and professional development
• Collaborative and dynamic work environment