לוח משרות דרושים מהנדס/ת דאטה/DATA ENGINEER בתל אביב יפו

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.

We are international Multi-Cloud experts, utilizing the power of the cloud for smart digital transformation. With 5 sites over 4 continents around the globe, +450 experts, +1000 customers, and +30 years of proven experience, our mission is to deliver the best Multi-Cloud service to our customers, accelerate their business and help them grow. As tech-savvies, To help our customers stay on top of their game, our teams are constantly developing new strategies and tools that will help them improve cloud performance, spending, visibility, control, and automation. Our cloud experts will make any digital transformation a quick, smart, and easy process
What You'll Do:
Design, build, and maintain data pipelines and infrastructure
Develop and implement data quality checks and monitoring processes
Work with engineers to integrate data into our systems and applications
Collaborate with scientists and analysts to understand their data needs

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 an experienced data engineer to join our team and help lead the development of our data platform. If youre passionate about big data and love solving complex data problems at scale, come join the team!
What you'll do:
Take a leading part in the companys data strategy, designing and building data flows and data pipelines from scratch
Maintain and improve existing data pipelines and aggregation processes ingesting petabytes of data on a daily basis
Work closely with our data analysts, data scientists and engineering teams to define and optimize ways we use our data
Be the go-to person for every data related issue, assisting most teams within R&D

venture-backed, fast-growing startup with a mission to use the power of Artificial Intelligence (AI) to get everyone access to higher quality healthcare at more affordable costs. Were looking for mission driven individuals to join our team and help us eliminate healthcare inequalities to build a better and healthier future.

Featured most recently in Forbes and Business Insider as a leading AI startup,a telehealth company that harnesses the power of technology to help provide the smartest digital healthcare platform to patients, hospital systems, and providers across the United States. Our AI powered application helps bring together the knowledge of thousands of doctors and anonymous medical data to provide the highest quality care to our patients. We offer a free symptom checker, 24/7 access to board-certified doctors, ability to refill prescriptions from your phone, and more. All within one application - no insurance or preauthorization required.
was founded in 2016, and has partnered with visionary and leading hospital systems and providers such as Cedars-Sinai, Mayo Clinic, and Elevance Health. Join us on our mission to help provide better healthcare for less.

About the Role
Our data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills. In this role, you will be at the heart of our data ecosystem, designing and maintaining high-quality data pipelines and models that drive decision-making across the organization.

You will play a key role in ensuring data quality, building scalable systems, and supporting cross-functional teams with clean, accurate, and actionable data.

What you will do:
Design, develop, and optimize scalable data pipelines, ensuring data is clean, accurate, and ready for analysis.
Build and maintain robust data models that support clinical, business intelligence and operational needs.
Work closely with data analysts, data scientists, engineers and cross-functional teams to understand data requirements and deliver high-quality solutions.
Implement and enforce data quality standards, monitoring, and best practices across systems and pipelines.
Collaborate on the design and implementation of database schemas to support analytical and transactional workloads.
Manage and optimize large-scale data storage and processing systems to ensure reliability and performance.

We are seeking a highly skilled and motivated Data Engineer & Analyst to join our dynamic team.
The ideal candidate will be a great team player that can lead and also be responsible for designing, developing, and maintaining robust data pipelines and analytical solutions to support our business objectives. This role requires a blend of engineering and analytical skills to ensure data integrity, optimize data workflows, and provide actionable insights. This role requires a deep understanding of financial data, system integration, and analytics to support strategic decision-making and regulatory compliance.
Your Day-to-Day
Design, develop, and maintain scalable data pipelines and ETL processes.
Collaborate with product, analysts, and other stakeholders to understand data
requirements and translate business needs into technical requirements.
Ensure data quality and integrity across various data sources.
Develop, maintain and own data models, schemas, and documentation.
Perform data analysis to identify trends, patterns, and insights.
Create and maintain dashboards and reports to support business decision-making.
Optimize database performance and troubleshoot issues.
Stay updated with the latest industry trends and best practices in data engineering and analytics.

A growing tech company in the automotive space with hubs across the US and Israel. Our mission is to constantly disrupt the industry by creating groundbreaking technologies to help dealers build stronger, more resilient businesses. Our work happens in the fast lane as we bring AI-powered, data-driven solutions to a quickly evolving industry.

Our team consists of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal-driven, and at our core, we believe every voice has value and can impact our bottom line.
If you are a creative, solutions-oriented individual who is ready to put your career in drive,the place for you!

We are looking for an experienced Data Engineering Tech Lead to join our team and make a real impact! In this hands-on role, you will drive the architecture, development, and optimization of our Data infrastructure, ensuring scalable and high-performance data solutions that support analytics, AI, and business intelligence needs. You will collaborate closely with analysts, Product, DevOps, and software engineers to cultivate a robust data ecosystem.

This position will report to the CISO and can be based out of Jerusalem or Tel-Aviv.

What you will be responsible for
Lead the design and implementation and maintenance of our DWH & Data Lake architecture to support both analytical and operational use cases.
Develop scalable ETL/ELT pipelines for ingestion, transformation, and optimization of structured and unstructured data.
Ensure data quality, governance, and security throughout the entire data lifecycle.
Optimize performance and cost-efficiency of data storage, processing, and retrieval.
Work closely with BI and analytics teams to guarantee seamless data integration with visualization tools.
Collaborate with stakeholders (BI teams, Product, and Engineering) to align data infrastructure with business needs.
Mentor and guide analysts, fostering a culture of best practices and professionalism.
Stay updated with industry trends and evaluate new technologies for continuous improvement.

The Data Engineer position is a central role in the Tech Org. The Data Engineering (DE) team is a Change Agent Team that plays a significant role in the ongoing (at advanced stages) migration of us to cloud technologies. The ideal candidate is a senior data engineer with a strong technical background in data infrastructure, data architecture design and robust data pipes building. The candidate must also have collaborative abilities to interact effectively with Product managers, Data scientists, Onboarding engineers, and Support staff.
Responsibilities:
Deploy and maintain critical data pipelines in production.
Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
Design infrastructural data services, coordinating with the Architecture team, R&D teams, Data Scientists, and product managers to build scalable data solutions.
Work in Agile process with Product Managers and other tech teams.
End-to-end responsibility for the development of data crunching and manipulation processes within the company`s product.
Design and implement data pipelines and data marts.
Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the company`s product.
Explore and implement new data technologies to support our data infrastructure.
Work closely with the core data science team to implement and maintain ML features and tools.

As a Customer Data Engineer, you will be a part of a strong energetic, and fast-growing global team. You will be an integral part of clients' onboarding and ongoing data requests and projects. You will be working closely with internal PM and CSM teams as well as interacting directly with clients data teams across different business verticals. Your core responsibilities will involve playing an active role in collaborating with internal teams to construct tailored data transformations and manipulations while working with top-notch technology (Cloud tech etc.) The ideal candidate is an SQL whiz with a strong work ethic, robust analytical and technical capabilities, and highly effective time management skills. We are looking for a master multi-tasker who thrives in challenging, fast-paced environments, with agility and ease. 

The Customer Data Engineer is a position that brings with it an excellent opportunity to learn and grow within a rapidly expanding company on the cutting edge of Martech. 

Responsibilities:  
​Develop and support a wide range of data transformations and migrations. 
Construct custom ETL processes: Design and implementation of data pipelines and data marts, access versatile data sources, and apply data quality measures.
Investigate data mismatches and apply solutions.
Work side by side and support the Customer Success teams in order to meet customer business needs. 
Interact with clients to understand business needs and collaborate on project scopes, planning, and execution. 

As a Senior Data Engineer, youll join a super-talented & motivated engineering team responsible for our Data Engineering team and will take a key role in our site in TLV. You will lead development and work with complex transportation data, design streamlined systems to process data from ride bookings, payments, and more, ensuring its clean, fast and serves our business needs.

What You'll Do:
You will be responsible for scalable data, pipeline, and backend services with challenging data algorithms.
Participate in the end-to-end development cycle of architecture, design, development, QA, deployment, and monitoring.
Work with talented engineers, and a broad forum of experts and stakeholders to create a stable and scalable product.
Build highly scalable, efficient, and available data pipelines/solutions, serving our data across the organization and to stakeholders.
Monitor data quality, proactively correcting discrepancies ensuring data reliability & accuracy.

We are looking for a Mid-Level Data Engineer with experience in data pipeline development, data modeling, and modern cloud-based tools to join our team and drive data solutions at scale.
Design, implement, and maintain robust ETL/ELT pipelines using tools like Airflow, dbt, or similar.
Develop, optimize, and maintain SQL scripts and queries for large-scale data processing.
Work extensively with cloud-based data platforms such as Snowflake, BigQuery.
Build and enhance data models to support analytics and reporting requirements.
Automate data workflows and processes using Python or other programming languages.
Monitor and improve data pipeline performance, reliability, and scalability.
Collaborate with cross-functional teams to ensure alignment on data architecture and solutions.

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.