Data Engineer, Nuritas

• 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

• 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

• Employee Assistance Program
• Health Insurance
• Pension Scheme
• Life Insurance
• City Centre Location
• Cycle to Work Scheme
• Luas/Train/Bus Tax Saver Scheme
• Income Protection

Total funding: $142m

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.