Data Engineer- Python, Apache Spark

£85,000 +Bonus +Benefits +Flexible Working

Location: London

Job reference: 441574

Job Summary

The Data Engineer role will sit within a brand new Data Engineering team. The Data Engineering team is responsible for providing infrastructure, tools and support to multiple data specialists across the business. The role will be defined depending on personal experience as more senior candidates will be able to take on more of a leadership role.

Role Responsibilities

  • Build, maintain and improve new and existing data infrastructures
  • Monitor and adapt with the evolving data engineering landscape, suggesting and implementing new tools and methodologies
  • Build services for real time data preparation, conversion, and storage using Python, Apache Parquet and Bash
  • Implement new data transformation pipelines utilising Python, Apache Spark and Postgres
  • Extend the data platform by integrating AWS into the exisiting workflow
  • Implement and support notebook infrastructures i.e. Jupyter and Apache Zeppelin.
  • Work on and enhance trading data analysis applications that run on the current and new data platforms
  • Collaborate with both internal and external Data Scientists to provide support for machine learning models

The Ideal Candidate

  • Solid experience of working in Data Engineering with technologies like Spark, Parquet, Airflow, Kafka
  • Be confident in building stable and scalable largescale data pipelines
  • Familiarity with cloud services such as AWS and Azure
  • A proven ability to take on board and adapt work styles using new technologies
  • Experience with Python, Spark, SQL and Git 0333 023 0045


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