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Senior Data Engineer
·Israel
On-siteFull-timeData EngineeringPharmaceuticals
Join a global data and business intelligence team to develop scalable data pipelines, reliable data products, and AI-powered solutions supporting business operations and decision-making.
Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines
- Develop and optimize SQL queries and data transformations
- Integrate data from APIs, databases, and third-party platforms
- Own data quality, monitoring, reliability, and governance processes
- Investigate and resolve data issues while supporting business users
- Manage data workflows from design and development through production support
- Collaborate with global stakeholders to gather requirements and resolve data discrepancies
- Develop AI-powered data solutions for business decision-making and operational improvement
- Build monitoring capabilities such as anomaly detection and forecasting
- Identify opportunities for AI and LLM-based solutions
- Operationalize AI workflows and data products from proof of concept through production deployment
Requirements
- Bachelor’s degree in information systems, computer science, industrial engineering, economics, business administration, or a related field
- At least 3 years of experience in data engineering, BI engineering, data operations, or a similar role
- Experience with data warehouse architecture and data modeling
- Hands-on experience building and maintaining end-to-end data pipelines
- Advanced SQL proficiency
- At least 2 years of experience with AWS
- At least 2 years of hands-on Snowflake experience, including Snowflake Cortex
- Experience building AI, machine learning, or generative AI solutions
- Experience using statistical and AI-based approaches to identify anomalies, patterns, and business insights
- Experience integrating AI services into data platforms and business processes
- Experience deploying and supporting ML or AI solutions in production
- At least 2 years of experience with dbt
- Experience with ETL/ELT tools and modern data platforms such as Rivery or Fivetran
- Experience integrating data from multiple sources and technologies
- Experience working in a global company
- Fluent written and spoken English and Hebrew
Nice to have
- Python experience
- Experience with LLMs, RAG, and AI agent architectures
- Familiarity with BI and analytics tools
- Amazon Bedrock experience
- Experience with semantic layers in AI-driven solutions
- Apache NiFi experience