Data Engineer

Nucleus Global, an Inizio Company
united kingdom
5 months ago
Applications closed

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Data Engineer

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Data Engineer

Data Engineer

Join to apply for the Data Engineer role at Nucleus Global, an Inizio Company


Inizio, the world’s leading healthcare and communications group providing marketing and medical communications services to healthcare clients. We have 5 main divisions within the group: Medical, Advisory, Engage, Evoke, and Biotech. Our Medical Division focuses on communicating evidence on new scientific and drug developments and educating healthcare professionals and payers on the appropriate use of therapy.


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


Key Responsibilities


  1. Build scalable and efficient data pipelines.
  2. Design the Data Architecture (including data models, schemas, and data pipelines) to process complex data from a variety of data sources.
  3. Build and maintain the CI/CD infrastructure to host and run data pipelines.
  4. Build and maintain data APIs.
  5. Set up, support, interact with, and maintain AI components including generative and machine learning models.
  6. Build mechanisms for monitoring data quality, accuracy, and integrity.
  7. Evaluate and make technical decisions on the most suitable data technology based on business needs (including security, costs, etc.).
  8. Collaborate with Data Scientists, Data Analysts, Software developers, and other stakeholders to understand data requirements.
  9. Work closely with System Admins and Infrastructure teams to integrate data engineering platforms into wider group platforms.
  10. Stay informed about emerging data engineering technologies and advocate for best practices.
  11. Monitor and optimize performance of data systems, troubleshoot issues, and implement solutions to improve efficiency and reliability.


To Succeed


  1. Strong proficiency in Python.
  2. Experience working with Generative AI models, their deployment, and orchestration.
  3. Solid understanding of database technologies and modeling techniques, including relational databases and NoSQL databases.
  4. Experience with setting and managing Databricks environments.
  5. Competent working with Spark.
  6. Solid understanding of data warehousing modeling techniques.
  7. Experience setting up CI/CD / DevOps pipelines.
  8. Experience with cloud platforms Azure and AWS and their data technologies is essential.
  9. Experience with graph technologies and modeling techniques is desirable.
  10. Experience with GCP and Scala is a plus.
  11. Excellent communication skills, capable of explaining complex data/technical concepts to stakeholders with varying technical backgrounds.
  12. Ability to work collaboratively.


In addition to a great compensation and benefits package including private medical insurance and a company pension, we offer flexible working arrangements. We are known for our friendly and informal working environment and offer excellent opportunities for career and personal development.


Don’t meet every requirement? That’s okay! We value diversity and encourage applications from all qualified individuals. If you’re excited about this role but your experience doesn’t match every qualification, we still encourage you to apply. You might be the perfect fit for this role or others.


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