Business Data Engineering Lead

Aidoc is recruiting a BI data engineering lead in Tel Aviv. Join our team!

Aidoc is a pioneering force in clinical AI. Our clinical AI imaging solutions help physicians quickly identify and diagnose urgent cases and improve patient outcomes. We analyze and aggregate medical data to enable care teams to work seamlessly with a continued focus on the patient. Aidoc’s AI is always on, running in the background to change the foreground.

Our solutions are used in more than 1000 hospitals, including leading health systems in the US. Funded by some of the industry’s leading VC’s, Aidoc has raised more than $250 million to date, and was chosen as one of TIME’s 50 most genius companies.

The Business Data Engineering Lead is responsible for transforming raw data into actionable insights that drive business decisions across company functions (executive leadership, Sales, Marketing, Finance, People, etc). This role involves extracting and integrating data from various sources, building ETL pipelines, calculating key metrics, and developing visualizations to support strategic decision-making. The ideal candidate combines technical expertise with business acumen and strong communication skills to bridge the gap between data and business needs.

• Collaborate with executives and business teams (sales, marketing, finance, HR, operations) to understand data needs and translate them into analytical solutions.
• Extract, clean, and integrate data from various sources, including databases, data warehouses, and external systems.
• Design, build, and maintain ETL pipelines to ensure efficient data processing and transformation.
• Develop and calculate key performance metrics (KPIs) tailored to business objectives.
• Create clear and compelling dashboards and visualizations to communicate insights effectively.
• Perform data analysis to identify trends, opportunities, and risks that inform strategic decision-making.
• Ensure data accuracy, consistency, and integrity across all reporting and analytics efforts.
• Continuously improve data models, workflows, and reporting processes to enhance efficiency and scalability.
• Stay up to date with industry trends and emerging technologies in data engineering and business intelligence.
• Educate and support business stakeholders in using data-driven insights for better decision-making. Provide analytical insights beyond “just providing the data”.

• 5+ years in data engineering, BI, or a related field.
• BSc/MSc in Computer Science, Data Science, Engineering, or related.
• Strong Python skills for data processing and automation.
• Software engineering best practices (Git, code review, testing, CI/CD).
• Business acumen with the ability to understand key metrics and drive decisions.
• Strong problem-solving and analytical skills for KPI development.
• Excellent communication—ability to translate complex data into actionable insights (including in English).
• Collaborative mindset to align data solutions with business needs.
• Adaptability & Learning Agility - learning new tools, technologies, and business domains.
• Self-starter with a proactive, ownership-driven approach.

Preferred Qualifications:

• SQL proficiency for querying and managing databases.
• Experience with ETL, data modeling, and warehousing.
• Experience with BI tools (Tableau preferred).
• Cloud data platforms. 
• Familiarity with advanced analytics (ML, predictive modeling).

Our perks:

• Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives)
• Office close to HaShalom train station with free parking   
• Stocked up kitchen & meal card
• Breakfast and lunch are made by our personal chef
• Wellness- yoga, pilates, and functional workouts in the office 
• Amazing culture - collaborative, transparent & fun!
• Attractive compensation package & benefits