לוח משרות דרושים מהנדס/ת דאטה/DATA ENGINEER, לחיפוש זה נמצאו 138 משרות

We are looking for a talented Data Engineer to help build and enhance the data platform that supports analytics, operations, and data-driven decision-making across the organization. You will work hands-on to develop scalable data pipelines, improve data models, ensure data quality, and contribute to the continuous evolution of our modern data ecosystem.
Youll collaborate closely with Senior Engineers, Analysts, Data Scientists, and stakeholders across the business to deliver reliable, well-structured, and well-governed data solutions.

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

We are seeking a detail-oriented and highly technical Data Operations Specialist to join our Data Operations team for an 6- month maternity leave cover. In this role, you will be responsible for annotating various events on our distinct fiber sensing data, and managing datasets to support various products and projects. You will play a crucial part in ensuring the quality and integrity of our data, contributing to multiple critical initiatives. You will help improve our annotation procedures, techniques, and tooling; and work closely with ML and Algo teams as well as Data Engineering.
This is a unique opportunity to gain hands-on experience in data operations within a dynamic environment using cutting edge and novel technology. You will join a talented team dedicated to leveraging data for impactful projects. If you are passionate about data and eager to contribute to exciting challenges, this might be the perfect opportunity for you.
What Youll Do:
Data Annotation - Accurately annotate datasets using internal tools, adhering to annotation guidelines and maintaining high standards for consistency and quality.
Tool Maintenance - Help maintain team tools, such as annotation tools and automated processes, using Python and Gen AI.
Quality Assurance - Review and validate annotated data to ensure accuracy and consistency, identify discrepancies, and suggest solutions to improve processes.
Continuous Improvement - Participate in the continuous improvement of our tools and data operations processes to achieve more accurate models, and more streamlined data flow between the different teams in the company.
Data Management - Support the ongoing maintenance of annotated datasets, ensuring data integrity and accessibility, and implementing best-practices to create seamless data flows.

we are a growing fast, and as we grow we scale both in the number of patients we treat and in the number of products we have in our portfolio. Your mission is to design and build the next-generation data infrastructure and pipelines, in addition contributing to an ongoing project that serves both our customers and internal data teams with scalable and reliable solutions.

You will:
Make a critical contribution to shaping and developing the core of our Data Platform used for AI research and business intelligence, from design to implementation.
Design and build complex data pipelines to move and manipulate data from a wide variety of data sources.
Create a system that will be used to support our data product offering.
Closely collaborate with various teams, including Software Engineering, AI Engineering and Product Management .

Tech stack:
We are running on AWS with Python as the main programming language for the backend. We are using various technologies such as S3, DBT, ETL, ELT, Spark, DynamoDB, Postgres, RabbitMQ, Docker, Redis, Prometheus, Terraform and others. We are always open to new technologies and tools that will help us to do our job even better.

What success looks like:
Self-contributor who excels at working independently and can also collaborate effectively as a valuable team member.
Mentor and advise other team members in code review, performance, scalability and more.
Eager to learn new things and also proactively suggest new ideas and initiatives.
Excellent communication and collaboration skills.
Team player, highly motivated, can-do approach.

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

Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines to integrate data from diverse sources, optimizing for performance and cost efficiency.
Leverage Databricks and other modern data platforms to manage, transform, and process data
Collaborate with software teams to understand data needs and ensure data solutions meet business requirements.
Optimize data processing workflows for performance and scalability.