לוח משרות דרושים מהנדס/ת דאטה/DATA ENGINEER

We are looking for an experienced and passionate Data Engineering Team Leader to lead a team of 5 seasoned data engineers. You will play a critical role in designing and delivering scalable, reliable data infrastructure and ETLs, enabling our machine learning, analytics, and product teams to deliver maximum impact.

Lead and grow a high-performing team of experienced data engineers.
Define and implement the teams technical roadmap, ensuring alignment with AI, Data, and Researchs achieving strategic objectives and product roadmap.
Own the development, and operation of robust, scalable, and efficient data pipelines and services.
Oversee the quality, performance, and maintainability of the teams codebase and delivered solutions.
Manage delivery plans, track progress, resolve blockers, and ensure on-time delivery.
Drive best practices in software engineering, data modeling, data quality, code quality, security, observability, and operational excellence.
Translate business and research requirements into scalable technical data solutions.
Foster a culture of ownership, collaboration, continuous learning, drive improvement and innovation within the team.
Actively mentor team members, guide career development, and conduct regular performance reviews.

we are looking for an experienced and highly motivated Senior Data Engineer with high professional skills to join our AI, Data & Research unit. Spearhead the development of Data Lakehouse processes and modeling products; Define and popularize best practices in the data field.

Work closely with ML, Data engineers and architects from the AI, Data & Research unit as well as R&D software engineering teams.
identify opportunities and help specify data requirements to improve security for products and customers along with product managers and data scientists.

As a Data Engineer Tech Lead, you will play a central role in shaping our data strategy and guiding the team in building and optimizing analytics data pipelines that power business decisions across the organization. Beyond driving complex data initiatives, youll be a hands-on mentor and technical advisor, supporting other data engineers, fostering a culture of collaboration, and ensuring the teams overall growth and success.

We are looking for a Data Backend Engineer.
What will you be responsible for?
Design and build distributed data systems that are the backbone of our product innovation.
Architect and implement high-throughput data pipelines capable of handling billions of records with speed and reliability.
Develop custom algorithms for deduplication, data merging, and real-time data updates.
Optimize storage, indexing, and retrieval strategies to manage massive datasets efficiently.
Solve deep engineering challenges in distributed computing environments like Spark, EMR, and Databricks.
Build fault-tolerant, highly available data infrastructure with integrated monitoring and observability.
Partner closely with ML engineers, backend developers, and product managers to turn business needs into scalable, production-grade features.

Were looking for a Data Engineer to design and implement high-scale, data-intensive platforms, research and develop algorithmic solutions, and collaborate on key company initiatives. You will play a critical role within core data teams, which are responsible for managing and optimizing fundamental data assets.
What will you be responsible for?
Solve Complex Business Problems with Scalable Data Solutions
Develop and implement robust, high-scale data pipelines to power core assets.
Leverage cutting-edge technologies to tackle complex data challenges and enhance business operations.
Collaborate with Business Stakeholders to Drive Impact
Work closely with Product, Data Science, and Analytics teams to define priorities and develop solutions that directly enhance core products and user experience.
Build and Maintain a Scalable Data Infrastructure
Design and implement scalable, high-performance data infrastructure to support machine learning, analytics, and real-time data processing.
Continuously monitor and optimize data pipelines to ensure reliability, accuracy, and efficiency.

We are looking for a Data Engineering Tech Lead.
What will you be responsible for?
Lead the design and development of scalable, high-performance data workflows, including both batch pipelines and real-time data products.
Define, implement, and enforce engineering best practices related to code quality, testing, CI/CD pipelines, observability, and documentation.
Mentor, support, and grow a team of data engineers, fostering a collaborative and high-performance engineering culture.
Identify opportunities to create new data assets and features that expand product capabilities and value proposition.
Drive architectural decision-making in areas of data modeling, storage solutions, and compute resources within cloud environments such as Databricks and Snowflake.
Collaborate closely with cross-functional stakeholdersincluding Product, DevOps, and R&Dto ensure effective delivery and platform stability.
Promote and champion a data-driven mindset across the organization, balancing technical rigor with business context and strategic goals.

Were looking for a Data Engineer for the Insight Team to join Lushas Data Group and a new team responsible for developing innovative features based on multiple layers of data. These features will power recommendation systems, insights, and more. This role involves close collaboration with the core teams within the Data Group, working on diverse data pipelines that tackle challenges related to scale and algorithmic optimization, all aimed at enhancing the data experience for Lushas customers.
What will you be responsible for?
Develop and implement robust, scalable data pipelines and integration solutions within Lushas Databricks-based environment.
Develop models and implement algorithms, with a strong emphasis on delivering high-quality results.
Leverage technologies like Spark, Kafka, and Airflow to tackle complex data challenges and enhance business operations.
Design innovative data solutions that support millions of data points, ensuring high performance and reliability.

We're seeking talented data engineers to join our rapidly growing team, which includes senior software and data engineers. Together, we drive our data platform from acquisition and processing to enrichment, delivering valuable business insights. Join us in designing and maintaining robust data pipelines, making an impact in our collaborative and innovative workplace.

Responsibilities
Design, implement, and optimize scalable data pipelines for efficient processing and analysis.
Build and maintain robust data acquisition systems to collect, process, and store data from diverse sources.
Take part in developing agentic capabilities.
Collaborate with DevOps, Data Science, and Product teams to understand needs and deliver tailored data solutions.
Monitor data pipelines and production environments proactively to detect and resolve issues promptly.
Apply best practices for data security, integrity, and performance across all systems.

We're seeking talented data engineers to join our rapidly growing team, which includes senior software and data engineers. Together, we drive our data platform from acquisition and processing to enrichment, delivering valuable business insights. Join us in designing and maintaining robust data pipelines, making an impact in our collaborative and innovative workplace.

Responsibilities
Design, implement, and optimize scalable data pipelines for efficient processing and analysis.
Build and maintain robust data acquisition systems to collect, process, and store data from diverse sources.
Take part in developing agentic capabilities.
Mentor, support, and guide junior team members, sharing expertise and fostering their professional development.
Collaborate with DevOps, Data Science, and Product teams to understand needs and deliver tailored data solutions.
Monitor data pipelines and production environments proactively to detect and resolve issues promptly.
Apply and be responsible for best practices in data security, integrity, and performance across all systems.

Responsibilities and Duties:

data Integration (60%)
Design, build, and maintain seamless data integrations with customers using Streams, Databases (DBs), and APIs.
Ensure efficient data mapping, transformation, and validation processes.
Optimize integration pipelines for performance and scalability.
Customer Support Issue Resolution (30%)
Troubleshoot and resolve integration or data -related issues for customers.
Act as a trusted technical advisor, helping clients optimize their data processes.
Work closely with Customer Success teams to enhance the onboarding experience and reduce time to value.
Continuous Improvement (10%)
Provide insights to enhance data integration processes, improve system efficiency, and contribute to automation efforts.
Identify opportunities to streamline workflows and implement best practices.

Now were looking for an experienced Software Engineer to join our Data team. In this key role, you will develop our data platform, working on cloud-based microservices data pipelines. As we are building the company data platform, it has direct impact on our customers and also enabled many of the other groups in the organization. You will also be responsible for building microservices that need to work on big data scale (about 250K records/sec) in a law latency as part of a dynamic team.
Key Responsibilities:
End-to-end development of company massive data infrastructures and services.
Researching new technologies and adapting them for use in the companys product
Working closely with the product, DevOps, and security teams.

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.

We are seeking a highly experienced and visionary Director, Data &
Analytics to lead our data organization. Reporting directly to the VP of Data, GRC, IT, and
Security, you will be responsible for defining and executing; data strategy, ensuring the
reliability, scalability, and impact of our data assets. You will lead five critical domains: BI
Engineering, Data Engineering, Data Platform, BI Product, and BI Labs (Data Science),
fostering a culture of data excellence, innovation, and partnership across the company.
This role requires a unique blend of deep technical expertise, strong leadership capabilities, and
a keen understanding of how data can drive business value in a fast-paced, data-intensive
environment.
What will you do?
Strategic Leadership: Develop and execute a comprehensive data strategy aligned with ' business objectives. Identify emerging data trends and technologies, and drive their adoption to maintain a competitive edge.
Team Leadership & Development: Lead, mentor, and inspire five diverse teams (BI Engineering, Data Engineering, Data Platform, BI Product, BI Labs), comprising talented engineers, analysts, product managers, and data scientists. Foster a high-performance culture, promoting continuous learning, collaboration, and career growth.
Data Engineering & Platform Ownership: Oversee the architecture, development, and maintenance of ' core data infrastructure, including data lakes, data warehouses, ETL/ELT processes, and real-time data pipelines. Ensure data quality, availability, and governance across all data assets.
Business Intelligence & Analytics Enablement: Drive the development of robust BI solutions, semantic models, and reporting infrastructure that empower business users with actionable insights.
Data Science & Advanced Analytics: Guide the BI Labs team (Data Scientists) in applying advanced analytical techniques, machine learning, and statistical modeling to solve complex business problems, identify business opportunities, and promote AI for predictive analytics .
Cross-Functional Collaboration: Partner closely with engineering, product, R&D, sales, marketing, and finance teams to understand their data requirements, deliver impactful data solutions, and evangelize data-driven decision-making across the organization.

We are seeking a skilled Data/ Backend Engineer to design and implement complex, high-scale systems that retrieve, process, and analyze data from the digital world. This role involves developing and maintaining backend infrastructure, creating robust data pipelines, and ensuring the seamless operation of data-driven products and services.
Key Responsibilities:
- Design and build high-scale systems and services to support data infrastructure and production systems.
- Develop and maintain data processing pipelines using technologies such as PySpark, Hadoop, and Databricks.
- Implement dockerized high-performance microservices and manage their deployment.
- Monitor and debug backend systems and data pipelines to identify and resolve bottlenecks and failures.
- Work collaboratively with data scientists, analysts, and other engineers to develop and maintain data-driven solutions.
- Ensure data is ingested correctly from various sources and is processed efficiently.

We are looking for a Data Engineer to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves constructing and maintaining scalable data pipelines, developing and integrating machine learning models, and ensuring data integrity and efficiency. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.
Key Responsibilities:
Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data scientists and analysts.
Optimize and maintain end-to-end data pipelines using big data technologies to ensure efficiency and performance.
Monitor data pipelines to ensure data integrity and promptly troubleshoot any issues that arise.