דרושים » ניהול ביניים » We Are Hiring: data Engineer - Petah Tikva I Hybrid

Medison 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
* Develop and operationalize AI workflows and data products from proof-of-concept through production deployment

City:
Petah Tikva

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.

As a Senior Product Analyst at CyberArk, youll join the AI Solutions group, contributing to the development of intelligent identity security capabilities. This role sits at the intersection of data, product, and AI - giving you the opportunity to apply analytical thinking and technical skills to help shape real-world solutions. Youll work alongside senior analysts, data scientists, engineers, and product managers to explore data, derive insights, and contribute to productizing AI-driven features that improve the performance, usability, and intelligence of our offerings.
Analyze product usage and behavioral data to support the design and improvement of AI-powered features.
Work closely with product managers and engineers to translate insights into productized solutions that enhance functionality and user experience.
Build and maintain dashboards, KPIs, and reports that drive product decision-making.
Contribute to the development and validation of success metrics for new capabilities.
Collaborate with data scientists on experiments, A/B tests, and model monitoring efforts.
Ensure data quality and support scalable pipelines by working with data engineering teams.
Communicate findings through clear presentations and visualizations that influence roadmap decisions.
Develop a deep understanding of product workflows and user behavior to guide analytical priorities.

We are responsible for building data pipelines end to end-from raw data ingestion to the creation of actionable datasets-following the bronze, silver, and gold paradigm. This includes business logic, infrastructure, ETLs, optimization, and ongoing maintenance.

The data we deliver drives insights and decision-making across the organization and enhances our product offerings. We leverage technologies such as AWS, Snowflake, Iceberg, Airflow, Spark, and more.

What Youll Do
Lead the translation of business and product requirements into scalable data models, transformations, and pipelines.

Design and own datasets across bronze, silver, and gold layers, including defining grain, aggregations, and data contracts.

Develop and maintain SQL-heavy data pipelines and Airflow DAGs (workflow logic, dependencies, backfills, python, and lots of SQL).

Own data correctness for key business metrics (e.g., ARR), including deep root cause analysis and resolution of data issues.

Define and drive best practices for SQL, data modeling, and pipeline design across the team.

Optimize queries and data models for performance, scalability, and cost efficiency.

Collaborate closely with product managers, analysts, and BI developers to refine requirements and ensure high-quality data delivery.

Develop AI-agents to accelerate data analysis by internal and external users.

Work with complex data inputs (e.g., JSON, schemas, logs) and incorporate them into robust data pipelines.

We are assembling an elite, small-scale team of innovators focused on transforming generative AI from breakthrough concepts into real-world products. As a Senior Data Engineer, you will serve as the data backbone of this GenAI innovation group, enabling rapid experimentation, research, and prototyping. In this role, you will transform complex, raw data into high-quality, AI-ready assets that directly power next generation of digital intelligence capabilities.
Key Responsibilities and Requirements:
Design, build, and maintain scalable data architectures that support generative AI research and rapid prototyping
Prepare, structure, optimize, and curate diverse datasets for AI and machine learning model training
Develop flexible, automated data pipelines to accelerate GenAI experimentation and development cycles
Partner closely with AI researchers and engineers to understand evolving data requirements
Conduct deep data exploration to uncover insights and identify new opportunities for GenAI applications
Ensure data quality, reliability, performance, and accessibility across multiple data domains
Optimize data processing workflows for large-scale and complex datasets
Apply strong data modeling and transformation practices to support advanced analytics and AI use cases

Kendago is looking for a sharp ,hands-on Business Analyst Lead to join our global B2C performance marketing team. This is a key role for someone with exceptional analytical and mathematical thinking, strong business understanding, and proven experience in performance marketing or growth-driven environments. The Business Analyst Lead will lead the analytical agenda, and work closely with Marketing, Media, Creative, Biz Dev, Product and R&D teams. The ideal candidate understands how business processes, marketing performance, customer value, and profitability are connected, and knows how to translate complex data into clear insights, recommendations, and business actions. Our office is located in Kiryat Ono. This is a hybrid position, including two work-from-home days per week.

Responsibilities:
What You’ll Do
* Lead the business analytics domain across Kendago’s B2C performance marketing activity.
* Monitor key business processes that directly impact revenue, profitability, customer value and marketing efficiency.
* Analyze marketing funnels, customer acquisition, conversion performance, CAC, ROAS, LTV, retention, attribution and customer behavior.
* Evaluate customer value across campaigns, channels, products and acquisition sources.
* Analyze data from marketing platforms such as Meta and other paid media sources.
* Identify business opportunities, funnel leaks, performance drops and areas for growth or optimization.
* Provide recommendations on where to increase, reduce or reallocate marketing investment based on performance and profitability.
* Lead and support A/B testing, funnel experiments and ongoing measurement frameworks.
* Translate complex data into clear, actionable insights for management and cross-functional teams.
* Act as an analytical advisor to senior management and support business decision-making through data-driven recommendations.
* Work with SQL, BI tools and AI tools to support deeper analysis, efficiency and smarter decision-making.

Biz Dev:
Biz Dev

Remote/Part time:
Hybrid

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.