Nucleus is hiring a
Data Engineer

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