דרושים » תוכנה » Data Engineer - Reporting Team

The Data Engineering Team Leader 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 Optimove 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:
Lead a team of data engineers that is responsible for deploying and maintaining 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 Optimove 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 Optimove product.
Explore and implement new data technologies to support Optimove's data infrastructure.
Work closely with the core data science team to implement and maintain ML features and tools.

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of our data ecosystem.

The groups mission is to build a state-of-the-art Data Platform that drives us toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.

In this role youll:

Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams.

Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights.

Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance.

Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights.

Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions.

Collaborate closely with other Staff Engineers across us to align on cross-organizational initiatives and technical strategies.

Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions.

Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization.

We are seeking an experienced and innovative Data Engineer to join our dynamic team!
As a leading FinTech startup based in Tel Aviv, we are dedicated to providing comprehensive financial & all around solutions for small businesses. The ideal candidate will possess a strong background in data engineering, data warehousing, and data modeling. This role demands a talented professional who can design, develop, and maintain our data infrastructure, empowering stakeholders across the company to make data-driven decisions. If you are a talented, humble, and ambitious individual ready to make a significant impact in a rapidly scaling company, we invite you to join us on our journey to revolutionize services for small businesses worldwide.
About the Opportunity:
As a Data Engineer, you will play a pivotal role in establishing and enhancing our data infrastructure, empowering stakeholders across the company to make informed, data-driven decisions.
What youll be doing:
Engage with potential customers via phone, email, and online communication tools to follow up on inquiries and leads.
Build and maintain relationships with prospects, understanding their needs and offering tailored solutions.
Develop and deliver sales pitches that highlight the benefits of our services.
Guide customers through the sales process, from the initial conversation to closing the deal.
Assist in onboarding new customers, ensuring they have a smooth and positive experience with our platform.
Maintain accurate records of interactions, sales progress, and follow-up tasks using our CRM system.
Continuously refine your product knowledge to better assist prospects and customers.
Responsibilities:
Design, develop, and maintain scalable and efficient data warehouse that align with our goals and requirements
Utilize advanced data modeling techniques to create robust data structures supporting data services and analytics needs
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into the data warehouse
Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency
Implement best practices for data warehouse and database performance tuning
Conduct thorough testing of data applications and implement robust validation processes
Collaborate closely with cross-functional teams including Developers, Data Scientists, Product Managers, and Squad Leaders to build the best possible high-quality data systems and services
Help scale the data infrastructure through the introduction of proper processes and practices.

Required Senior Data Engineer (Analytics)
Tel Aviv
As a Senior Data Engineer, you will play a key role in shaping and driving our analytics data pipelines and solutions to empower business insights and decisions. Collaborating with a variety of stakeholders, you will design, develop, and optimize scalable, high-performance data analytics infrastructures using modern tools and technologies. Your work will ensure data is accurate, timely, and actionable for critical decision-making.
Key Responsibilities:
Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources.
Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions.
Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse.
Develop and optimize analytics-oriented data models to support business decision-making.
Champion data quality, consistency, and governance across the analytics layer.
What your day might look like:
Leading the design and implementation of scalable data pipelines to support analytical workloads.
Collaborating with stakeholders to gather requirements, propose solutions, and align on data strategies.
Writing and optimizing ETL processes to ensure seamless integration of new data sources.
Designing analytics-focused data modeling solutions tailored for strategic decision-making.
Troubleshooting data issues and implementing measures to improve system reliability and accuracy.
Sharing knowledge and mentoring team members to promote a culture of learning and excellence.
This is an opportunity to make a significant impact by enabling data-driven decision-making at scale while growing your career in a dynamic, collaborative environment.

We're hiring an experienced Data Engineer to join our growing team of analytics experts in order to help & lead the build-out of our data integration and pipeline processes, tools and platform.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground u.
The right candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture to support our next generation of products and data initiatives.
In this role, you will be responsible for:
Create ELT/Streaming processes and SQL queries to bring data to/from the data warehouse and other data sources.
Establish scalable, efficient, automated processes for large-scale data analyses.
Support the development of performance dashboards & data sets that will generate the right insight.
Work with business owners and partners to build data sets that answer their specific business questions.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
Own the data lake pipelines, maintenance, improvements and schema.

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.

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 data processing and analysis.
Build and maintain robust data acquisition systems to gather, process, and store data from various sources.
Work closely with DevOps engineers, Data Science and Product teams to understand their requirements and provide data solutions that meet business objectives.
Proactively monitor data pipelines and production environments to identify and resolve issues promptly.
Implement best practices for data security, integrity, and performance.
Mentor and guide junior team members, sharing expertise and fostering their professional development

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 seeking a highly skilled Senior Data Engineer to join our Data Group and help drive the development and optimization of our cutting-edge data infrastructure.
As a key member of the Platform team, you will play an instrumental role in building and evolving our feature store data pipeline, enabling machine learning teams to efficiently access and work with high-quality, real-time data at scale.
In this dynamic, fast-paced environment, you will collaborate with other data professionals to create robust, scalable data solutions. You will be responsible for architecting, designing, and implementing data pipelines that ensure reliable data ingestion, transformation, and storage, ultimately supporting the production of high-performance ML models.
We are looking for data-driven problem-solvers who thrive in ambiguous, fast-moving environments and are passionate about building data systems that empower teams to innovate and scale. We value independent thinkers with a strong sense of ownership, who can take challenges from concept to production while continuously improving our data infrastructure.
As a Data Engineer you will...
Design and implement large-scale batch & streaming data pipelines infrastructure
Build and optimize data workflows for maximum reliability and performance
Develop solutions for real-time data processing and analytics
Implement data consistency checks and quality assurance processes
Design and maintain state management systems for distributed data processing
Take a crucial role in building the group's engineering culture, tools, and methodologies
Define abstractions, methodologies, and coding standards for the entire Data Engineering pipeline.

Required Data Engineer (Analytics)
Tel Aviv
As a Data Engineer, you will collaborate with various stakeholders to design, develop, and maintain data analytics solutions that enable informed business decisions. You will use the latest tools and technologies to ensure the data is accurate, timely, and actionable.
How is your day going to look, what will you be doing?
Develop data solutions in collaboration with data analysts, data scientists, product engineers, and product managers
Design and develop the infrastructure for ingesting and processing data in the analytics data warehouse
Design data analytics modeling solutions focused on business decision-making
Write robust ETL processes, handling a variety of structured and unstructured data sources
Ensure data quality, consistency, and governance across the analytics layer.