Data Engineer

Responsibilities

• Shift left processing by migrating existing business logic from dbt/SQL into Flink stream-processing jobs (Java/Python).
• Take the lead on the Payment Lifecycle Flink jobs, moving them from Data Platform ownership into the Analytics domain.
• Be responsible for the health, monitoring (Datadog), and deployment (ArgoCD/Terraform) of these critical pipelines.
• Work with Apache Iceberg to manage state and lookups for long payment lifecycles.
• Take initiative to improve and optimise engineering workflows and platforms.

Key Requirements

• Proven delivery experience in data or software engineering.
• Comfortable writing and debugging production-grade Java or Python.
• Hands‑on experience with Apache Flink (or similar engines like Spark Streaming/Kafka Streams) and Apache Kafka.
• Understanding of checkpoints, watermarking, and state management.
• Familiarity with the modern DevOps stack: Docker, Kubernetes, Terraform, and CI/CD principles.
• Strong focus on data integrity.

Benefits

Hybrid working model offering flexibility, with three days per week in the office.