TL;DR
Principal Data Engineer (AI): Building and enhancing an agentic data platform for LLM-powered research systems with an accent on designing scalable applications, creating efficient data pipelines, and generating embeddings. Focus on utilizing Python, Java, Spark, and AWS for robust, intelligent solutions.
Location: London. Offers home, office, or commuting allowance with flexible working hours.
Company
hirify.global is a global leader in information and analytics, empowering researchers and healthcare professionals through quality information and vast data sets combined with analytics.
What you will do
- Design, prototype, and build robust, scalable applications following best practices.
- Work with Python, Java (Spring Boot), Spark, Airflow, and various database technologies.
- Create scalable and optimized ELT/ETL data pipelines for bulk data ingestion.
- Utilize data engineering and warehousing technologies like Data Lake and Delta Lake.
- Generate embeddings for ingestion with the latest models at scale.
- Build and automate cloud infrastructure in AWS for service hosting and monitoring.
Requirements
- Strong commercial software engineering experience delivering server-side applications.
- Good experience with ETL, Spark, and Airflow.
- Experience with Database systems.
- Excellent programming skills in Java and Python.
- Advocacy for best practices including clean code, architectural design patterns, and CI/CD.
- Comfortable learning new technologies to keep products current in a rapidly evolving ecosystem.
- Inclusive, positive, and collaborative mindset with a desire to deliver business value.
Culture & Benefits
- Healthy work/life balance with flexible working hours.
- Comprehensive Pension Plan.
- Generous vacation entitlement and option for sabbatical leave.
- Maternity, Paternity, Adoption, and Family Care leave.
- Personal Choice budget and various employee discounts.
- Internal communities and networks, Employee Assistance Program.
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