לוח משרות דרושים מהנדס/ת דאטה/DATA ENGINEER עבודה היברידית

As a Senior Data Engineer, you will play a key role in owning and scaling the backend data infrastructure that powers our platformsupporting real-time optimization, advanced analytics, and machine learning applications.

What You'll Do:
Design, implement, and maintain robust, scalable data pipelines for batch and real-time processing using Spark, and other modern tools.
Own the backend data infrastructure, including ingestion, transformation, validation, and orchestration of large-scale datasets.
Leverage Google Cloud Platform (GCP) services to architect and operate scalable, secure, and cost-effective data solutions across the pipeline lifecycle.
Develop and optimize ETL/ELT workflows across multiple environments to support internal applications, analytics, and machine learning workflows.
Build and maintain data marts and data models with a focus on performance, data quality, and long-term maintainability.
Collaborate with cross-functional teams including development teams, product managers, and external stakeholders to understand and translate data requirements into scalable solutions.
Help drive architectural decisions around distributed data processing, pipeline reliability, and scalability.

Are you a talented and experienced Data Engineer Team Lead? If so, we want you to be part of our dynamic Business Intelligence Team, a part of the R&D, contributing to our vision and making a difference in the eCommerce landscape. Join us on this journey as we seek the best and brightest minds to drive our mission forward.
In this role, you can expect:
Lead and oversee a team of Data Engineers to deliver high-quality data solutions
Mentor team members, fostering skill development and professional growth
Developing, implementing and supporting robust, scalable solutions to improve business analysis capabilities
Managing data pipelines from multiple sources, including designing, implementing, and maintaining
Translating business priorities into data models by working with business analysts and product analysts
Collaborate across the business with various stakeholders, such as data developers, systems analysts, data scientists and software engineers
Owning the entire data development process, including business knowledge, methodology, quality assurance, and maintenance

Are you a talented Senior Data Infra Engineer? If so, we want you to be part of our dynamic Data Engineering Team, contributing to our vision and changing the eCommerce landscape.
Youll be joining a collaborative team of engineers creating a reliable and performant data infrastructure platform. As a Senior Engineer on the team you will prioritize and tackle problems as they arise, working iteratively with internal and external stakeholders to deliver a great self-service data infrastructure and stability for our developers and analysts. Today we serve various eCommerce organizations, enabling them to make decisions based on the knowledge at the core of their business.
In this role, you can expect:
Lead technical design and implementation of major software components, systems, and features across teams.
Work with a variety of programming languages, systems, and cloud technologies, including: Python, DBT, Databricks, Spark, Looker, Airflow, Kubernetes, AWS, Terraform
Apply your technical experience in performance, architecture, interfaces and engineering best practices to face cutting-edge data related challenges.
Help build a data driven culture of quality and innovation by leading cross-team collaboration and execution of projects delivering high value to customers.
Manage trade-offs, priorities, and deliverables by applying your experience driving projects to successful completion.

Company Description we are bridging the gap between AI and real-world implementations, creating the foundation layer for AI-driven medicine. By transforming static, fragmented data into a dynamic and proactive infrastructure, we aim to revolutionize healthcare. Join our innovative team that is redefining data analytics in the healthcare industry.Role DescriptionWere looking for a Junior data Engineer whos excited about building data pipelines from the ground up and wants to make a real impact in the healthcare space. This is a full-time opportunity to work with experienced professionals, cutting-edge tools, and meaningful data.What youll doDesign and develop scalable, reliable data pipelines across the organizationEnsure data quality and consistency through validation and monitoringAutomate data workflows using AI-driven solutionsLearn how to map complex medical data to standard healthcare ontologiesWork with technologies like AWS (S3, Aurora PostgreSQL, Redshift, EC2), and DBTCollaborate closely with clinicians, data scientists, and fellow engineers to deliver impactful solutions.

Were looking for a data Engineer to join Tech19, responsible for developing innovative features based on multiple layers of data. These features will power recommendation systems, insights, and more.
This role involves working on diverse data pipelines that tackle challenges related to scale and algorithmic optimization.

Were seeking an experienced and professional BI Data Engineering Manager to join our growing team in Tel Aviv. In this position, you will lead a team of talented BI professionals and data engineers, overseeing the definition, development, and management of our BI datasets. You will architect, implement, and oversee data models, ELTs, and ETLs, enabling our business teams, product, engineering, and senior management to access data effectively.
What Youll Do:
Lead and mentor a team of BI professionals and data engineers, fostering a collaborative and innovative environment.
Oversee end-to-end BI development and ownership, from design to production.
Develop and manage BI data pipelines to empower data access and self-service.
Collaborate with business stakeholders, engineering teams, and data consumers to understand data needs and translate business requirements into the technical design of scalable data pipelines.
Provide directions on best practices for our architecture, including dimensional modeling and large-scale ETL/ELT.
Advise engineering teams in designing the correct database schema.
Research core technologies and integrations with external APIs and services.

We're looking for an experienced backend developer to join our growing data platform team.
As a backend developer, you'll work on a massive data processing pipeline while ingesting over a billion daily events from multiple sources, create the next generation pipeline and help us scale from a billion events a day to tens of billions of events.
Responsibilities:
Own projects from initial discussions to release including data exploration, architecture design, benchmark of new technologies and product feedback.
Work with massive amounts of data from different sources using state-of-the-art technology to make big data accessible in real-time.
Develop and deploy real-time and batch data processing infrastructures.
Manage the development of distributed data pipelines and complex software designs to support high data rates (millions of daily active users) using cloud-based tools.
Work closely with company stakeholders on data related issues.
Develop unit, integration, e2e and load tests.

We are looking for a Data Engineer.
What youll be doing:
Gathering requirements from internal customers
Design, manage and maintain analytics products and pipeline solutions.
Create new ETL/ELT processes and optimize existing by different tools (Python, PySpark, Databricks, etc.)
Debugging, monitoring, and troubleshooting pipeline solutions
Provide analysts and other internal customers with technical support related to data activity