דרושים » דאטה » Senior Data Engineer, GenAI Platform

our company offers hope to patients suffering from rare and severe diseases by forming partnerships with emerging biotech companies to accelerate access to highly innovative therapies in international markets. As the creator and leader of the global partnership category in the pharma industry, we strive to be Always Ahead and work relentlessly to bring therapy to patients in need, no matter where they live. Our values are at the core of every action we take, and we are committed to going above and beyond to benefit the patients we serve. We are a dynamic, fast-paced company operating in over 34 countries on 5 continents. We are looking for out-of-the-box thinkers, people who are passionate, caring, agile, and adaptive, to join us on our mission. If you are looking to make a difference in people's lives, we invite you to join us! We are looking for a motivated and business-oriented data Engineer to join our global data & BI team. In this role, you will design, develop, and maintain modern data pipelines and data solutions that support critical business processes across the organization. You will work closely with global stakeholders, integrate data from multiple sources, ensure data quality and reliability, and contribute to modern data and AI initiatives. (*Please note, the internal title for this role is Senior data & BI Specialist, Business Technology.)
Responsibilities:
* Design, build, and maintain scalable ETL /ELT pipelines
* Develop and optimize complex SQL queries and data transformation processes
* Integrate data from internal and external systems, including APIs, databases, and third-party platforms
* Own data quality, monitoring, reliability, and governance processes
* Investigate and resolve data -related issues while supporting business users
* Take ownership of data workflows from design and development through production support
* Collaborate with global stakeholders to understand business requirements, analyze data discrepancies, and deliver reliable data solutions
* Design, develop, and maintain AI-powered data solutions that support business decision-making and operational excellence
* Build and implement monitoring capabilities (e.g. anomaly detection, forecasting, etc.) using modern AI capabilities
* Partner with business teams to identify opportunities for applying AI and LLM-based solutions to real-world business challenges.

We are looking for a strong, hands-on Data Engineer to join our team and play a key role in building our data infrastructure from the ground up. In this role, you will design and implement scalable data pipelines and platforms, supporting both batch and real-time use cases. You will work closely with analysts and stakeholders to deliver reliable, high-quality data solutions, and take full ownership of data flows - from ingestion to consumption. This is a great opportunity for an executor who enjoys building, moving fast, and making an impact.
What will your job look like?
Design, build, and maintain robust and scalable data pipelines (batch and real-time) end-to-end.
Design and implement scalable, flexible data architectures to support evolving business needs.
Build and manage data platforms, including data lakes and data warehouses.
Integrate multiple data sources (structured and unstructured) into a unified data platform using batch (ETL) and real-time streaming solutions.
Design and implement efficient data models, schemas, and database structures (SQL / NoSQL).
Develop and implement data quality processes to ensure accuracy, consistency, and reliability.
Monitor, optimize, and troubleshoot data infrastructure to meet performance and SLA requirements.

We are building a cutting-edge GenAI-powered SaaS platform that enables investigators to interact with complex case data through a conversational interface. The system leverages LLMs, RAG architectures, and agentic workflows in a rapidly evolving environment.
As we scale, we are looking for a hands-on R&D Manager, reporting to the VP R&D, to take ownership of day-to-day execution, team delivery, and production stability - enabling the team to move fast while freeing leadership to focus on new innovation and strategic initiatives.
This is not a traditional management role. You will operate as a player-coach, staying close to the technology while leading a small, high-impact team.
Key Responsibilities:
Lead the day-to-day execution of the development team (planning, prioritization, delivery)
Work closely with Product, DevOps, and Customer Success to ensure smooth delivery of features and fixes
Own production stability and ongoing support processes (triage, prioritization, resolution tracking)
Manage and mentor engineers while maintaining a flat, startup-like culture
Drive high engineering standards across code quality, testing, and system reliability
Stay hands-on with the system architecture, especially around GenAI pipelines, RAG, and agentic flows
Remove blockers and ensure the team can execute quickly in a fast-changing environment
Balance short-term delivery needs with longer-term technical health
Improve development processes without introducing unnecessary overhead

we are looking for a highly skilled Data Engineer to join our growing Data Analytics Department.
As a Data Engineer in a multi cloud company, you will build data-driven solutions for our customers using cutting-edge data tools and large-scale data on AWS\GCP\Azure.
Job Responsibilities:
Lead data solutions design and development for our various clients and projects.
Design the solution by understanding the needs, modeling the data, choosing the right tools and defining the interfaces/dashboards.
Develop Data Pipelines, Data Lakes, DWHs, AI\ML models, Dashboards and reports using advanced tools and leading technologies.