Data Engineer

Data Engineer

Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Build scalable data pipelines and design data architecture for AI capabilities.
  • Company: Inizio is a leading healthcare communications group focused on innovative marketing and medical services.
  • Benefits: Enjoy private medical insurance, a company pension, and flexible working options.
  • Why this job: Join a friendly team, work with cutting-edge technology, and make a real impact in healthcare.
  • Qualifications: Proficiency in Python, experience with AI models, and knowledge of cloud platforms like Azure and AWS.
  • Other info: Diversity and inclusion are valued; apply even if you don't meet every requirement!

The predicted salary is between 36000 - 60000 Β£ per year.

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. Setup, support, interact with and maintain AI components including generative and machine learning models.
  6. Build mechanisms for monitoring the data quality accuracy to ensure the reliability and integrity of data.
  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 development and other stakeholders to understand data requirements.
  9. Work closely with System Admins and Infrastructure teams to effectively integrate data engineering platforms into wider group platforms.
  10. Be cognisant of new and emerging technologies related to data engineering, and be an active champion of data engineering.
  11. Monitor and optimise performance of data systems, troubleshoot issues, and implement solutions to improve efficiency and reliability.
  12. A strong proficiency in Python.
  13. Experience working with Generative AI models, their deployment and orchestration.
  14. A solid understanding of database technologies and modelling techniques, including relational databases and NoSQL databases.
  15. Experience with setting and managing Databricks environments.
  16. Competent working with Spark.
  17. Solid understanding of data warehousing modelling techniques.
  18. Competent with setting up CI/CD / DevOps pipelines.
  19. Experience with the cloud platforms Azure and AWS and their associated data technologies is essential.
  20. Experience and understanding of graph technologies and modelling techniques is desirable.
  21. Experience with GCP and Scala is desirable.
  22. Excellent communication skills, capable of explaining complex data/technical concepts to stakeholders with varying levels of technical awareness.
  23. Ability to work collaboratively.

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

Don\’t meet every job requirement? That\’s okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you\’re excited about this role, but your experience doesn\’t perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

Apply for this job

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Data Engineer employer: Nucleus Global

Inizio is an exceptional employer, offering a dynamic and inclusive work environment that fosters collaboration and innovation in the healthcare communications sector. As a Data Engineer, you will benefit from a comprehensive compensation package, including private medical insurance and a company pension, while also enjoying ample opportunities for career growth and personal development within a friendly and informal culture. With a focus on cutting-edge technologies and a commitment to diversity, Inizio is dedicated to supporting your professional journey in a meaningful way.
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Contact Detail:

Nucleus Global Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Engineer

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Databricks, and cloud platforms like Azure and AWS. Having hands-on experience or projects showcasing these skills can set you apart during the interview process.

✨Tip Number 2

Network with current employees or professionals in the data engineering field, especially those who have experience in healthcare communications. This can provide you with insights into the company culture and the specific challenges they face, which you can address in your discussions.

✨Tip Number 3

Prepare to discuss your experience with AI components and data pipelines in detail. Be ready to share examples of how you've built or maintained similar systems, as this will demonstrate your practical knowledge and problem-solving abilities.

✨Tip Number 4

Showcase your communication skills by being able to explain complex technical concepts in simple terms. This is crucial for collaborating with stakeholders who may not have a technical background, and it will highlight your ability to work effectively within a team.

We think you need these skills to ace Data Engineer

Data Pipeline Development
Data Architecture Design
CI/CD Infrastructure Management
Data API Development
AI Component Integration
Data Quality Monitoring
Technical Decision Making
Collaboration with Data Teams
System Integration
Proficiency in Python
Experience with Generative AI Models
Database Technologies Understanding
Databricks Environment Management
Spark Competency
Data Warehousing Modelling Techniques
CI/CD / DevOps Pipeline Setup
Cloud Platforms (Azure and AWS) Experience
Graph Technologies Understanding
GCP and Scala Experience
Excellent Communication Skills
Collaborative Work Style

Some tips for your application 🫑

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineer position at Inizio. Familiarise yourself with the technologies mentioned in the job description, such as Python, Azure, AWS, and CI/CD pipelines.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your proficiency in data engineering, experience with AI models, and any specific technologies mentioned, like Databricks or Spark.

Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention how your background fits the job requirements and express your interest in contributing to Inizio's mission in healthcare communications.

Highlight Soft Skills: In addition to technical skills, emphasise your communication abilities and collaborative mindset. The job requires explaining complex concepts to various stakeholders, so showcasing these soft skills can set you apart from other candidates.

How to prepare for a job interview at Nucleus Global

✨Showcase Your Technical Skills

Be prepared to discuss your proficiency in Python, data modelling techniques, and experience with cloud platforms like Azure and AWS. Highlight specific projects where you've built data pipelines or worked with generative AI models.

✨Understand the Company’s Focus

Familiarise yourself with Inizio's divisions and their focus on healthcare communications. This will help you tailor your answers to show how your skills can support their mission in the Medical Division.

✨Prepare for Collaborative Scenarios

Since collaboration is key in this role, think of examples where you've successfully worked with Data Scientists, Analysts, or Software Developers. Be ready to explain how you communicated complex technical concepts to non-technical stakeholders.

✨Stay Updated on Emerging Technologies

Demonstrate your knowledge of new and emerging technologies in data engineering. Discuss any recent trends or tools you've explored and how they could benefit Inizio's data capabilities.

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