Senior Analytics & AI Engineer

Teva Croatia
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Career Opportunities: Associate Director, Senior Analytics & AI Engineer (68212)

Requisition ID 68212 - Posted  - Croatia

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We Are Teva

We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together.

Our Team, Your Impact

We are seeking a hands-on Senior Analytics & AI Engineer (Associate Director level) to design, build, and operate production-grade analytics and AI solutions within Global Procurement.

This role combines data engineering, BI, ML, GenAI, agentic AI and software engineering to deliver scalable and reliable AI / data products in a modern PowerBI and Databricks environment. The focus is on translating procurement and business requirements into robust technical solutions that operate reliably in enterprise production environments.

Location

Croatia, Netherlands, Romania or Bulgaria

How You’ll Spend Your Day

Analytics & AI Solution Engineering
•    Design, build, and maintain production-grade analytics and AI solutions on Databricks (Python, PySpark, SQL)
•    Develop scalable data products supporting procurement analytics, decision intelligence, and AI-driven workflows
•    Translate procurement and business requirements into maintainable technical imple-mentations
•    Ensure solutions are robust, monitored, scalable, and operationally stable

 

BI, Decision Intelligence & Automation
•    Build enterprise analytics solutions in Power BI, including semantic models, datasets, and dashboards
•    Design reusable data models and KPI logic supporting procurement decision-making
•    Enable self-service analytics and standardized reporting across procurement functions
•    Drive integration of analytics and AI into operational procurement processes
•    Enable automation of analytics and operational workflows using Power Platform (Power Automate)
•    Support integration between AI solutions, reporting platforms, and operational procure-ment processes
•    Collaborate with IT and platform teams to ensure alignment with enterprise architecture and governance standards

 

GenAI & Agentic AI
•    Build GenAI solutions such as contract analysis, supplier intelligence, and procurement copilots
•    Apply practical Agentic AI patterns including retrieval, orchestration, evaluation, and workflow automation
•    Integrate APIs, tools, and business logic into AI-assisted workflows

 

Software Engineering & Engineering Excellence
•    Develop high-quality production code using:
  -    Python

  -    PySpark
  -    SQL
•    Apply modern software engineering best practices including:
  -    Git-based development
  -    testing and validation
  -    modular and reusable architecture
  -    CI/CD and deployment discipline
•    Apply modern AI software engineering practices, including effective use of coding agents and AI-assisted development workflows
•    Build and maintain production AI/ML systems with enterprise reliability standards

Your Skills and Experience

•    10+ years of relevant experience in:
  -    data engineering
  -    analytics engineering
  -    applied AI / ML
  -    software engineering•    Proven experience delivering and operating production-grade enterprise data or AI systems
•    Advanced Python 
•    Advanced PySpark
•    Advanced SQL 
•    Strong experience with Databricks
•    Strong experience with Power BI (semantic modeling, enterprise reporting, datasets)
•    Experience with:
  -    machine learning in production environments
  -    GenAI applications (LLMs, RAG, embeddings)
  -    agentic AI systems and orchestration patterns

Also Good to Have

•    Procurement, sourcing, or contract analytics experience
•    Advanced data modeling (dimensional and semantic layer design)
•    Full-stack engineering experience including:
  -    databases
  -    frontend frameworks in JavaScript and/or Python 
  -    APIs and end-to-end application development
•    Solution architecture experience in cloud environments (Azure preferred)

How We’ll Take Care of You

At Teva, better health starts from within, and that includes you. From day one, you’ll be supported with benefits designed to help you thrive in and out of work. This includes generous annual leave, reward plans, flexible working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community.  When it comes to your career, you’ll be encouraged to explore, evolve, and shape your path. Twist, our one-stop shop for career development platform, gives you access to a wide range of possibilities, from learning programs and short-term projects to opportunities for internal growth. Here, you’ll be part of a culture that empowers you to reach your goals and prioritize your wellbeing every step of the way. 

Already Working @Teva?

Make sure to apply through our internal career site on Twist—your one-stop shop for career development

Teva’s Equal Employment Opportunity Commitment

Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

 

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