Data Engineer

📋 Description

• Take a leading role in the improvement of our Data architecture by applying Data Mesh principles.
• Develop, scale, maintain and deploy our data platform infrastructure in the cloud.
• Take a leading role in applying Data Lineage and Governance throughout the organisation.
• Support the entire Product & Engineering organisation in their data needs.
• Develop custom ETL pipelines, detect anomalies, and create optimised aggregations for analysis and

🎯 Requirements

• Minimum of 5+ years of Data Engineering experience and hands-on experience in AI Native development.
• Designing Data Platforms and taking architectural decisions, leading the way towards better data
• Knowledge and experience in Data Mesh.
• Knowledge and experience in Data Governance and Data Lineage best practices.
• Developing data flows for the processing of data at scale.
• Using industry standard data pipelining tools (Spark, Kafka).

🎁 Benefits

• Challenging and inspiring work environment
• Learning and Development budget
• Commuting budget
• Mental Health and Well-being Support
• Bynder Love stipend
• Unlimited vacation policy