Data Engineer

at Nucleus
  • Remote - United Kingdom

Remote

Software Development

Mid-level

Summary

Join Inizio Medical as a Data Engineer and support the build of AI capabilities across the organization.

Requirements

  • A strong proficiency in Python
  • Experience working with Generative AI models, their deployment and orchestration
  • A solid understanding of database technologies and modelling techniques, including relational databases, NoSQL databases
  • Experience with setting and managing Databricks environments
  • Competent working with Spark
  • Solid understanding of data warehousing modelling techniques
  • Competent with setting up CI/CD / Devops pipelines
  • Experience with the cloud platforms Azure and AWS and their associated data technologies is essential
  • Experience and understand of graph technologies and modelling techniques is desirable
  • Experience of GCP, Scala desirable
  • Excellent communication skills, capable of explaining complex data/technical concepts to stakeholders with varying levels of technical awareness
  • Ability to work collaboratively

Responsibilities

  • Build scalable and efficient data pipelines
  • Design the Data Architecture (including data models, schemas, and data pipelines) to process complex data from a variety of data sources
  • Build and maintain the CI/CD infrastructure to host and run data pipelines
  • Build and maintain data APIs
  • Setup, support, interact with and maintain AI components including generative and machine learning models
  • Build mechanisms for monitoring the data quality accuracy to ensure the reliability, and integrity of data
  • Evaluate and make technical decisions on the most suitable data technology based on business needs (including security, costs etc)
  • Collaborate with Data Scientists, Data Analysts, Software development and other stakeholders to understand data requirements
  • Work closely with System Admins and Infrastructure teams to effectively integrate data engineering platforms into wider group platforms
  • Be cognisant of new and emerging technologies related to data engineering, be active champion of data engineering
  • Monitor and optimise performance of data systems, troubleshoot issues, and implement solutions to improve efficiency and reliability

Benefits

  • Private medical insurance
  • Company pension
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