Data Engineer, Nuritas
AI-driven peptide discovery platform
Open for applications
AI-driven peptide discovery platform
21-100 employees
Open for applications
21-100 employees
Company mission
To empower people everywhere to live naturally healthier lives.
Role
Who you are
- Bachelor's or Master’s degree in information technology, data science, scientific computing, engineering or related field
- Technical expertise in data management, such as:
- Working with and designing databases,
- Proficiency with AWS Redshift and other AWS data services,
- Hands-on experience with data modeling and transformation (such as dbt),
- Strong knowledge of SQL and Python for data manipulation and scripting,
- Familiarity with ETL/ELT processes and modern data stack tools
- Strong knowledge and practical skills in software development (version control, testing, CI/CD)
- Excellent communication and interpersonal skills
- Domain knowledge in biological sciences, biotech, business analytics
- Ability to think strategically and solve complex data challenges
What the job involves
- As a Data Engineer at Nuritas, you will be at the forefront of our data strategy, helping to design, build, and maintain robust data infrastructure and pipelines.
- You’ll collaborate with teams across Nuritas to transform raw data into actionable insights that support scientific discovery, operational efficiency, and business growth to:
- 1. Data Infrastructure Development:
- Design, implement, and manage scalable data pipelines and workflows
- 2. Cross-Functional Collaboration:
- Partner with teams across the company—science, machine learning, project management, commercial, and business operations—to understand their data needs and develop solutions tailored to their requirements
- 3. Data Integration and Transformation:
- Consolidate data from multiple sources, ensuring it is clean, reliable, and optimized for use in analytics and reporting
- 4. Automation and Optimization:
- Automate manual data processes, improve existing pipelines, and enhance data quality and performance
- 5. Data Products Development:
- Build and maintain reusable data models, metrics, and tools that empower teams to make data-driven decisions
- 6. Data Governance:
- Implement and maintain best practices for data security, quality, and compliance, ensuring that sensitive data is handled responsibly
- Our data infrastructure is diverse including both in-house databases and services as well as cloud-hosted warehouses (AWS Redshift) and workflows and several SaaS products
Our take
Peptides are short chains of amino acids that have evolved in nature over millions of years, often presenting extraordinary health benefits when consumed. As a result, many food, drink, and pill producers wish to enhance their products with peptides, but discovering the right ones and knowing how to use them requires vast scientific knowledge.
Nuritas leverages AI to provide a peptide discovery platform, partnering in-house scientists with food and pharmaceutical corporations to identify and utilise new peptides with health benefits. The company also produces two peptide products for companies to enhance their products with - PeptiStrong for muscle repair and Peptiyouth for slowing cellular aging.
Natural peptides can be found in all manner of fruits, vegetables, and other consumables, but Nuritas has taken a systematic approach to discover them through AI assistance, identifying their benefits, and using them to enhance products. Through its platform, the company has ultimately made the benefits of peptides accessible to companies regardless of whether they have expert scientists and biologists within their team.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 7 rounds)
Dec 2024
$42m
SERIES C
Nov 2021
$44.4m
SERIES B
Total funding: $143.7m
Company benefits
- Employee Assistance Program
- Health Insurance
- Pension Scheme
- Life Insurance
- City Centre Location
- Cycle to Work Scheme
- Luas/Train/Bus Tax Saver Scheme
- Income Protection
Company HQ
Dublin, Ireland
Leadership
Nora Khaldi
(Founder & CEO)Completed a PhD in Bioinformatics and Molecular Evolution at Trinity College Dublin in 2008. Member of the Governing Board of the European Institute of Innovation and Technology (EIT).
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