[Hiring] Data Engineer @Nucleus Global

Role Description

We have a fantastic opportunity for a Data Engineer to support the build of AI capabilities across Inizio Medical.

• 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.

Qualifications

• 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 understanding of graph technologies and modelling techniques is desirable.
• Experience with 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.

Benefits

• Great compensation and benefits package including private medical insurance and a company pension.
• Dynamic working options.
• Friendly and informal working environment.
• Excellent opportunities for career and personal development.