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Posted 5 months ago

Role Highlights
  • Hands-on coding (60%)
  • Availability for regular trips to London required
  • Design and drive the implementation of a data hose from Ebury production that integrates data models coming from relational and non-relational sources for BI consumption, working with Data team and Tech team 
  • Analyses and identifies performance bottlenecks within our current Ebury back office system data architecture
  • Working with the SRE team ensures high availability and performance of our data storage solutions
  • Define and implement a strategy to decouple data processing for BI from Data models used in production
  • Research and develop PoC for quasi-real-time data pipelines 
  • Contribute to the product roadmap to drive work through tech teams
  • Responsible for the high availability of the API

Must Haves
  • Proven experience building data pipelines from live production environments
  • Proven experience on optimizing SQL database performance including CQRS patterns
  • Experience designing and implementing building real-time data pipelines and streaming solutions
  • Strong backend development track record (python)
  • Experience defining work for engineering teams to implement (product stories)

Nice to Have
  • Managed large Database infrastructure deployments
  • Comes from the Financial sector
  • Postgres optimisation
  • AWS Data pipeline infrastructure, Django signals, airflow and aws kinesis, Kafka, flink or spark