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- Tasks: Build scalable data pipelines and support AI capabilities in healthcare.
- Company: Nucleus Global, a leading healthcare communications group.
- Benefits: Flexible working, private medical insurance, and excellent career development.
- Why this job: Join a friendly team and make an impact in healthcare with cutting-edge technology.
- Qualifications: Proficient in Python, experience with AI models, and strong communication skills.
- Other info: Diversity is valued; apply even if you don't meet every requirement!
The predicted salary is between 28800 - 48000 £ per year.
Join to apply for the Data Engineer role at Nucleus Global, an Inizio Company. Inizio is the world’s leading healthcare and communications group providing marketing and medical communications services to healthcare clients. 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- 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.
- Set up, support, interact with, and maintain AI components including generative and machine learning models.
- Build mechanisms for monitoring data quality, accuracy, and integrity.
- 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 developers, and other stakeholders to understand data requirements.
- Work closely with System Admins and Infrastructure teams to integrate data engineering platforms into wider group platforms.
- Stay informed about emerging data engineering technologies and advocate for best practices.
- Monitor and optimize performance of data systems, troubleshoot issues, and implement solutions to improve efficiency and reliability.
- Strong proficiency in Python.
- Experience working with Generative AI models, their deployment, and orchestration.
- Solid understanding of database technologies and modeling techniques, including relational databases and NoSQL databases.
- Experience with setting and managing Databricks environments.
- Competent working with Spark.
- Solid understanding of data warehousing modeling techniques.
- Experience setting up CI/CD / DevOps pipelines.
- Experience with cloud platforms Azure and AWS and their data technologies is essential.
- Experience with graph technologies and modeling techniques is desirable.
- Experience with GCP and Scala is a plus.
- Excellent communication skills, capable of explaining complex data/technical concepts to stakeholders with varying technical backgrounds.
- 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.
Data Engineer employer: Nucleus Global, an Inizio Company
Contact Detail:
Nucleus Global, an Inizio Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Nucleus Global or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, AI models, or any relevant projects. This gives you a chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key when working with diverse teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, data pipelines, and any relevant technologies like Azure or AWS. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background makes you a great fit. Don’t forget to mention your experience with AI models and collaboration with teams.
Showcase Your Projects: If you've worked on any cool projects related to data engineering, make sure to include them! Whether it's building data pipelines or working with CI/CD, we love seeing real examples of your work.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team!
How to prepare for a job interview at Nucleus Global, an Inizio Company
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Databricks, and cloud platforms like Azure and AWS. Brush up on your knowledge of data pipelines and CI/CD processes, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built data pipelines or worked with AI models. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Communicate Clearly
Since the role requires explaining complex concepts to various stakeholders, practice articulating your thoughts clearly and concisely. Use simple language when discussing technical topics, and be prepared to adjust your explanations based on your audience's technical background.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data architecture, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
