Data Engineer

Location: Brussels-Capital Region

*** Mention DataYoshi when applying ***


The engineer (M/V/X)

  • supports the engineering of event-driven data products, data integrations and API’s
  • continuously improved the way of working by adding monitoring & automation,
  • coaching & reviewing the work of the application engineers, design and document blueprints, building POC’s etc.
  • part of the time he also does hands-on work on software design & the engineering of event stream processing for more complex features, including integrations with cloud services, API design etc. and provides coaching & guidance to meet the engineering standards.

Skills & experience

Hands-on, senior experience with (“the basics”):

  • Java, Spring Boot & it’s modules
  • Git, CI/CD, configuration-as-code principles and tooling
  • HTTP, REST-style API’s with JSON
  • Micro-services architecture
  • Messaging with JMS / AMQP (RabbitMQ)
  • Docker, Maven
  • AWS services (S3, DynamoDB, RDS, …) & IAM
  • Kubernetes (EKS)
  • Apache Kafka (MSK) & Kafka Connect
  • Event stream processing with Kafka Streams
  • Avro, Confluent Schema Registry
  • Kustomize, Helm
  • Ansible, Terraform
  • Prometheus & Grafana
  • Technical writing
  • Platform thinking, evolutionary architecture

Experience with, notions of or profound interest in (“nice to have”):

  • gRPC, GraphQL
  • ELK stack
  • GitOps, ArgoCd/FluxCD
  • EAI patterns, WSO2
  • AWS Lambda
  • Akka
  • Python
  • Airflow, Dbt
  • Data engineering & DataOps

*** Mention DataYoshi when applying ***

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