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Senior Data Engineer – Automation, Analytics and AI

MSD·ישראל·en
היברידימשרה מלאהData EngineeringPharmaceuticalsBiotechnology

A life sciences company is seeking a Senior Data Engineer to design and deliver scalable data pipelines, automation, analytics, and AI-enabled solutions. The role is based in Hod HaSharon, Israel, follows a hybrid work arrangement, and includes up to 10–20% travel.

תחומי אחריות

  • Design, develop, and maintain end-to-end data pipelines.
  • Build automation processes, analytics products, dashboards, and AI-enabled solutions.
  • Translate business needs into scalable and reliable technology solutions.
  • Lead data, automation, analytics, and AI initiatives that improve operational efficiency and decision-making.
  • Coordinate technical and business stakeholders across functions and locations.
  • Plan and deliver projects, manage risks and issues, and prioritize work in a fast-paced environment.
  • Support change adoption through stakeholder engagement and training.

דרישות

  • Bachelor’s degree in science, computer science, engineering, mathematics, statistics, or a related field.
  • At least 5 years of relevant hands-on experience for the senior position.
  • Experience designing and delivering end-to-end data pipelines and analytics solutions.
  • Demonstrated delivery of automation, analytics, AI/ML, dashboards, workflow automation, or ETL solutions with measurable improvements.
  • Hands-on project management and cross-functional stakeholder coordination in a matrix environment.
  • Proficiency in Python, data modeling, data pipelines, ETL tools, business process modeling, process mapping, and solution design.
  • Knowledge of program and project planning, prioritization, risk and issue management, and Agile or Lean practices.
  • Fluent English communication skills and the ability to present technical topics to non-technical audiences.
  • Ability to support stakeholder engagement, training, change enablement, and solution adoption.

יתרון

  • Experience working across multiple countries or in regional programs.
  • Exposure to integrations with IT and data science teams.
  • Experience coordinating vendors.

רלוונטיות

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