Senior Data Platform Engineer

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8746446

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17/06/2026

Senior Backend Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking a Senior Backend Engineer - Data Platform to join our expanding team and play a crucial role in designing, building, and maintaining robust and scalable data pipelines and infrastructure. In this role, you will directly enable data-driven decision-making and support the development and deployment of AI/ML products that power our Health.

Youll collaborate closely with engineering, product, and data science teams to ensure our data systems are high-quality, resilient, and scalable as we grow. As a Senior Backend Engineer on our Data Platform team, you will drive efforts to deliver reliable, efficient, and consistent data services across the organization. You will also help enable the rapid development and deployment of advanced features, insights, and AI-driven capabilities that improve outcomes for clinicians and clients.

How will you contribute?
Design, implement, and maintain scalable and reliable data pipelines and backend systems supporting both operational and analytical needs, with a focus on ML/AI product enablement.
Ensure data processing is optimized for speed, efficiency, and fault tolerance, enabling seamless integration with AI/ML workflows and reliable performance across all our Health products.
Monitor and improve uptime, reliability, and observability of our data infrastructure and pipelines.
Build and maintain systems to ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions.
Work closely with product and engineering teams to deliver new features rapidly and with a high standard of technical excellence.
Drive innovation in how we build, measure, and optimize data features, backend services, and AI product integrations.
Participate in on-call rotations with a service-oriented approach and fast responsiveness.
Lead scalability efforts to support increasing data volumes, expanding AI/ML initiatives, and new product launches.

דרישות:
Who are you?
You are a seasoned backend or data engineer with experience working on production-grade ML/AI-powered products. You thrive in fast-paced, high-ownership environments and are passionate about building scalable and reliable systems. You understand the unique requirements of delivering AI/ML features in production, and you are comfortable working with modern technologies in the LLM/RAG ecosystem.
You pride yourself on delivering high-quality solutions quickly, without sacrificing design or reliability. Youre known for your responsiveness, collaborative spirit, and service-oriented mindset-especially when youre on-call and the stakes are high.

At least 5 years of experience with Python in backend or data engineering roles, designing and operating large-scale data pipelines, backend services, and data infrastructure in production environments.
Hands-on experience working on ML/AI-powered products in production, with strong understanding of requirements for integrating data platforms with AI features.
Familiarity with modern LLM (Large Language Model) and RAG (Retrieval-Augmented Generation) technologies, and experience supporting their deployment or integration.
Familiar with or have worked with these technologies (or alternatives):
Data Processing & Streaming: Apache Spark, DBT, Airflow, Airbyte, Kafka
API Development: FastAPI, micro-service architecture, SFTP
Data Storage: Data Lakehouse architectures, Apache Iceberg, Vector Databases, RDS
ML/AI: ML/LLM libraries and frameworks (such as Gemini, Hugging Face, etc.)
Cloud Infrastructure: AWS stack (S3, Firehose, Lambda, Athena, etc.), Kubernetes (K8s)
Demonstrated ability to optimize performance and ensure high availability, scalability, and reliability of backend/data systems.
Strong foundation in best practices for data quality, governance, security, and observability.
Ability to collaborate effectively with engineering, data science, and product teams in a cross-functional setting.
Track record of innovative thinkin המשרה מיועדת לנשים ולגברים כאחד.

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15/07/2026

Data Architect

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Senior Data Architect to help define and evolve the data architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable data systems, set technical direction for how data is ingested, modeled, stored, and served, and guide teams in making high-quality architectural decisions that balance delivery speed with long-term sustainability.
This is a hands-on, senior technical leadership role: you will spend most of your time shaping data architectures with teams, reviewing data models, pipelines and critical code, and driving shared standards and patterns across the organization, all in an advanced agentic environment.
Responsibilities:
Define and evolve the data architecture for key domains (ingestion, ELT/ETL, data modeling, storage, APIs, integration, observability, governance, and security), including owning the lakehouse/medallion architecture (bronze/silver/gold) and the data flows that move data across layers at scale.
Translate business and product requirements into pragmatic data designs, data contracts, and architecture roadmaps; create and maintain architecture artefacts (data flow/lineage diagrams, ADRs, reference implementations, modeling guidelines).
Evaluate design options and technology choices, articulate trade-offs, and lead decision-making with stakeholders; push forward the agentic mindset and implementation across the data platform.
Partner with squad leads and senior engineers to design data solutions, break down complex problems, and keep implementations aligned with the target architecture; participate in design/tech reviews to ensure NFRs (performance, scalability, data quality, resilience, security, operability) are addressed early.
Provide hands-on support where it matters most: spike and prototype critical data flows, review complex PRs, and help debug tricky production data and pipeline issues.

Requirements:
8+ years of experience in software / data engineering, including several years in a senior / staff / architect role designing complex data systems.
Strong experience designing modern data platforms and distributed data architectures (lakehouse/warehouse, batch and streaming/event-driven patterns, robust data APIs).
Experience working with columnar/serialization data formats such as AVRO and Parquet, including schema evolution and storage trade-offs.
Experience with DBT and ELT management tools for building, testing, and maintaining transformation pipelines.
Experience with Apache Airflow (or comparable orchestration tooling) for scheduling and managing data workflows.
Experience working with Databricks (or Snowflake) and medallion architecture (bronze/silver/gold).
Experience building SaaS data infrastructure, including CI/CD, ETL/data pipeline observability, and data quality monitoring.
Proven ability to design for scale, performance, security, and reliability in production SaaS environments.
Hands-on experience with at least one major language and ecosystem used in our stack (e.g., Python, SQL, Java, or similar).
Proven agentic experience - as hands-on experience and as architecting GenAI systems.
Comfortable reading and reviewing code, guiding implementation, and occasionally building prototypes or reference implementations.
Nice to have:
Experience with financial services, B2B SaaS, or integrations with large enterprise customers (e.g., banks).
Background in analytics, BI, or ML-adjacent systems and feature/data pipelines for ML.
Familiarity with data governance, lineage, cataloging, and master data management.
Familiarity with domain-driven design, event sourcing, or CQRS patterns.
Solid understanding of cloud-native architecture (e.g., AWS/Azure/GCP), containers, and infrastructure-as-code practices.

This position is open to all candidates.

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8739901

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21/06/2026

Sr. Data Platform Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Grip Security is looking for a Senior Data Platform Engineer to join our community!
We are a fast-growing startup in the software-as-a-service and AI Security Industry. We provide innovative solutions to securing the whole organization-to-SaaS surface. (More details: https://grip.security)
Using the newest technologies, we're working on solving a huge problem all enterprises face today - to govern the accessibility of all their employees to all 3rd party vendors (GitHub, SendGrid, Atlassian, and thousands more!), and ensure there is no leftover/unwanted access to any of the organization's SaaS and AI assets. The SaaS and AI security field is complex and challenging; therefore, we're looking for super-talented people, who are not afraid of technical challenges and breaking down barriers to achieve good solutions.
The job
As a Senior Data Platform Engineer, you will play a key role in building and evolving Grips modern data platform - the infrastructure that powers product features and analytics across the company.
You will focus on designing and operating scalable, reliable data systems and platform tooling that support our Data Lakehouse, enabling engineers, analysts and research teams to work with data efficiently and with minimal friction.
Responsibilities:
Design, build and operate a cloud-native modern data platform.
Develop and optimize data processing frameworks and pipelines across batch and streaming workloads.
Improve developer experience and platform usability through tooling and automation.
Lead and support large-scale data migrations and architectural improvements.
Drive best practices around infrastructure, CI/CD, testing, and system design.
Collaborate with developers, analysts, data scientists and other stakeholders to develop new products and features.
Contribute to a strong engineering culture of ownership, learning, and knowledge sharing.

Requirements:
5+ years of hands-on experience building scalable data infrastructure, particularly around data lake or data warehouse architectures.
Proven experience designing, building and operating production-grade systems and services.
Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and hands-on experience with modern data platforms and tools (e.g., Spark, Kafka, Airflow, dbt, open table formats, or similar).
Strong programming skills in Python and SQL.
Independent, proactive, and ownership-driven mindset.
Background in data platform engineering, backend engineering, DevOps, or DBA - strong advantage.
Experience with containerization technologies - advantage.

This position is open to all candidates.

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8703334

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06/07/2026

Senior Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Senior Data Engineer, you will play a key role in owning and scaling the backend data infrastructure that powers our platform-supporting 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.

Requirements:
4+ years in backend data engineering or infrastructure-focused software development.
Proficient in Python, with experience building production-grade data services.
Solid understanding of SQL
Proven track record designing and operating scalable, low-latency data pipelines (batch and streaming).
Experience building and maintaining data platforms, including lakes, pipelines, and developer tooling.
Familiar with orchestration tools like Airflow, and modern CI/CD practices.
Comfortable working in cloud-native environments (AWS, GCP), including containerization (e.g., Docker, Kubernetes).
Bonus: Experience working with GCP
Bonus: Experience with data quality monitoring and alerting
Bonus: Experience with Snowflake, DBT, Flink, Kafka
Bonus: Strong hands-on experience with Spark for distributed data processing at scale.
Degree in Computer Science, Engineering, or related field.

This position is open to all candidates.

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15/07/2026

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for an experienced and visionary Data Engineer to help design, build, and scale our BI platform.
In this role, you will be responsible for developing our data analytics platform - enabling scalable data pipelines and robust data modeling to support real-time and batch analytics to provide insights that serve both business intelligence and product needs.
You will be part of the R&D team, collaborating closely with engineers, analysts, and product managers to deliver a modern data architecture that supports internal dashboards and future-facing operational analytics.
If you enjoy turning raw data into powerful insights and owning the full data lifecycle, this role is for you!
Responsibilities
Take full ownership of the design and implementation of a scalable and efficient BI data infrastructure, ensuring high performance, reliability, and security.
Design and architect data products, from ingestion to transformation, modeling, storage, and access.
Build and maintain ETL/ELT pipelines, batch and real-time, to support analytics, reporting, and product integrations.
Establish and enforce best practices for data quality, lineage, observability, and governance to ensure accuracy and consistency.
Integrate modern tools and frameworks such as Airflow, Databricks, Power BI, and streaming platforms.
Collaborate cross-functional with product, engineering, and analytics teams to translate business needs into data infrastructure.
Promote a data-driven culture - be an advocate for data-driven decision-making across the company by empowering stakeholders with reliable and self-service data access.

Requirements:
Requirements
5+ years of hands-on experience in data engineering and in building data products for analytics and business intelligence.
Experience working on data developments using AI tools and agentic workflows.
Strong hands-on experience with ETL orchestration tools (Apache Airflow), and data lake houses (Databricks is an advantage)
Vast knowledge in both batch processing and streaming processing (e.g., Kafka, Spark Streaming).
Proficiency in Python, SQL, and cloud data engineering environments (AWS, Azure, or GCP).
Familiarity with data visualization tools (Power BI, Looker, or similar).
BSc in Computer Science or a related field from a leading university
Nice to have:
Experience working on early-stage projects, building data systems from scratch.
Background in building operational analytics pipelines, in which analytical data feeds real-time product business logic.
Experience in cost optimization in modern cloud environments.
Knowledge of data governance principles, compliance, and security best practices.

This position is open to all candidates.

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8739902

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08/07/2026

Senior Full-Stack Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a top-notch Senior Full Stack Engineer who will work on our next first-to-market AI-powered products and create elegant solutions using the latest technologies. This position will be based in our R&D office in the heart of Tel-Aviv.

In this role, you will be responsible for designing, developing, and maintaining end-to-end (client and server) features and web applications. You will work closely with our design, product, and AI teams to translate complex requirements into intelligent, user-friendly experiences powered by data and automation.

As part of growing AI initiatives, you will help build products that leverage LLMs, AI agents, and advanced analytics to deliver actionable insights for marketers at scale. You will have the opportunity to work on innovative AI-driven experiences, integrate modern AI infrastructure and tools, and shape how customers interact with and understand their data.

We deeply encourage our engineers to develop a deep understanding of our industry, our customers, and emerging AI technologies, while continuously growing their engineering skills. You will also have the chance to work in one of the most professional R&D teams in the startup community and grow professionally.
Key Responsibilities

Build and maintain backend services responsible for integrating with a wide variety of APIs, webhooks, and partners.

Design, develop, and own integration flows end-to-end: architecture, implementation, deployment, and monitoring.

Work on data pipelines handling large volumes of streaming and batch data with high reliability and low latency.

Ensure data accuracy and consistency across ingestion, transformation, and storage layers.

Collaborate with product, data engineering, and customer-facing teams to understand edge cases, resolve production issues, and improve partner integrations.

Take ownership of features and systems while proactively identifying gaps and driving improvements.

Integrate and leverage industry technologies such as Kafka, Iceberg, DynamoDB, Postgres, EMR, Kubernetes, Druid, Snowflake, and more.

Requirements:
5+ years of hands-on experience as a software engineer with frontend and backend development.

Proficiency in modern frontend development frameworks such as React, Angular, Vue.js.

Experience with backend development technologies such as Python, Java, or Node.js.

Experience with database technologies such as MySQL, PostgreSQL, Redis, etc.

This position is open to all candidates.

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8729271

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21/06/2026

Data Infrastructure Engineer

חברה חסויה

Location: Tel Aviv-Yafo and Binyamina-Giv'at Ada

Job Type: Full Time

we are looking for a Data Infrastructure Engineer.
Responsibilities:
Design and build data solutions that support core business goals, from enabling capital market transactions (loan sales and securitization) to providing
reliable insights for reducing the cost of capital.
Develop advanced data pipelines and analytics to support finance, accounting, and product growth initiatives.
Create ELT processes and SQL queries to bring data to the data warehouse and other data sources.
Develop data-driven finance products that accelerate funding capabilities and automate accounting reconciliations.
Own and evolve data lake pipelines, maintenance, schema management, and improvements.
Create new features from scratch, enhance existing features, and optimize existing functionality.
Collaborate with stakeholders across Finance, Product, Backend Engineering, and Data Science to align technical work with business outcomes.
Implement new tools and modern development approaches that improve both scalability and business agility.
Ensure adherence to coding best practices and development of reusable code.
Constantly monitor the data platform and make recommendations to enhance architecture, performance, and cost efficiency.

Requirements:
4+ years of experience as a Data Engineer.
4+ years of Python and SQL experience.
4+ years of direct experience with SQL (Redshift/Snowflake), data modeling, data warehousing, and building ELT/ETL pipelines (DBT & Airflow preferred).
3+ years of experience in scalable data architecture, fault-tolerant ETL, and data quality monitoring in the cloud.
Hands-on experience with cloud environments (AWS preferred) and big data technologies (EMR, EC2, S3, Snowflake, Spark Streaming, Kafka, DBT).
Strong troubleshooting and debugging skills in large-scale systems.
Deep understanding of distributed data processing and tools such as Kafka, Spark, and Airflow.
Experience with design patterns, coding best practices, and data modeling.
Proficiency with Git and modern source control.
Basic Linux/Unix system administration skills.
Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.
Nice to Have:
Familiarity with fintech business processes (funding, securitization, loan servicing, accounting).- Huge advantage
BS/MS in Computer Science or related field.
Experience with NoSQL or large-scale DBs.
DevOps experience in AWS.
Microservices experience.
2+ years of experience in Spark and the broader Data Engineering ecosystem.

This position is open to all candidates.

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8703300

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15/07/2026

Senior Backend Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a talented, passionate and experienced Senior Backend Engineer to join our team. You will help design and build the backend and data pipeline behind leading XDR platform, operating at large scale and under real-world production constraints. Were looking for someone with strong distributed systems fundamentals, high coding standards, and a collaborative, hands-on approach.
Responsibilities:
Lead the design and implementation of key backend components in flagship product
Build and operate a high-throughput data pipeline handling terabytes of data per day, with a focus on performance, reliability, and cost
Drive engineering best practices (testing, observability, CI/CD, code review, technical design) and contribute to product/technical innovation
Mentor engineers and help grow a strong engineering culture; learn and collaborate across teams

Requirements:
5+ years of backend engineering experience building production systems
3+ years of professional Python experience
Proven experience designing and building large-scale, performant distributed systems
Strong experience with Docker and Kubernetes, and with a cloud provider (preferably AWS)
Experience with one or more modern data stores / data platforms such as Snowflake, PostgreSQL, Redis and data lake formats (e.g., Parquet/Iceberg)
Strong communication skills and ability to clearly articulate technical ideas and tradeoffs
High proficiency in English (written and spoken)
Collaborative, responsible team player who enjoys working in a dynamic, business-oriented environment
Advantage:
Microservices architecture experience
Experience applying AI tools/assistants to engineering workflows (e.g., productivity, code quality, debugging, automation)
Experience in cybersecurity / security products

This position is open to all candidates.

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6 ימים

Data Analytics Architect

חברה חסויה

Location: Lod and Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

abra professional services is seeking a Data Analytics Architect / Principal Data Engineer We are looking for a skilled Data Analytics Architect / Principal Data Engineer to lead the organization’s analytics data domain, design large-scale data architecture, build advanced analytical models, define organizational data modeling standards, and implement innovative AI and LLM-based technologies. This role requires deep expertise in data engineering, analytics, BI, SQL, PostgreSQL, data modeling, performance optimization, data governance, and the integration of AI tools into data engineering processes. A full-time hybrid position based in Central Israel. The first 4–6 months will be based in Tel Aviv, followed by a transition to the Lod area. The position includes 1 day a week remote. Key Responsibilities:
* Design and develop data architecture that supports large-scale analytics and business intelligence.
* Lead the design and implementation of complex data models and enterprise data modeling solutions.
* Define organizational standards, methodologies, and best practices in the data domain.
* Optimize database performance, analytical queries, and reporting processes.
* Lead LLM-based development and implement AI tools within data engineering processes.
* Mentor data engineers, conduct code reviews and architecture reviews.
* Collaborate with management and business stakeholders to build a technological roadmap.
* Establish frameworks for data quality and data governance.
* Lead initiatives to improve the reliability and stability of BI and analytics systems.
* Evaluate new technologies and lead the adoption of innovative solutions across the organization.
* Lead the design and implementation of end-to-end analytics platforms.

Requirements:
Requirements: must have requirements: • Bachelor’s degree in Computer Science, Data Science, Statistics, or another relevant field, or equivalent professional experience. • At least 5 years of experience in Data Engineering, with a focus on Analytics and BI. • Expert-level SQL skills. • Deep experience with PostgreSQL, including performance tuning and optimization. • At least 3 years of experience with Python for data processing, automation, and testing. • At least 3 years of experience designing and implementing large-scale data models. • Experience leading performance optimization in complex data systems. • Experience establishing and implementing Data Governance and Data Quality processes. • Proven ability to translate business requirements into data architecture and technological solutions. • Experience providing technical leadership, mentoring, and leading technological initiatives. • Experience building Data and Analytics platforms from scratch. • Proven experience integrating AI and LLM tools into development and data engineering processes. Advantages: • Experience in FinTech or financial organizations. • Deep familiarity with regulation, information security, and compliance requirements. • Experience working with Data Lakes and Data Warehouses. • Experience with orchestration tools and ELT / ETL processes. • Experience working in cloud environments such as AWS, GCP, or Azure. • Familiarity with streaming technologies and real-time data processing. • Experience leading technology teams or professional excellence groups. Personality requirements: • Fast learning ability and curiosity for new technologies and methodologies. • Strategic thinking and broad system-wide perspective. • Ability to lead and influence without formal authority. • Ability to work independently and manage multiple tasks simultaneously. • High personal responsibility and ability to receive professional feedback. • Initiative, creativity, and ability to solve complex problems. • High motivation and constant drive for excellence. • Excellent interpersonal communication skills and ability to work with multiple stakeholders. • Ability to driv

This position is open to all candidates.

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05/07/2026

Senior Data Infrastructure Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We're looking for a Senior Data Infrastructure Engineer to help us build the data foundation that powers everything does. You'll be joining the Data Platform team in TLV, working on the infrastructure that ingests, processes, and governs data across a growing stack of products, customers, and microservices - structured and unstructured, streaming and batch. The work you do here sits at the core of how every team makes decisions.
We believe three things matter for every role : drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role youll:
Design and implement data solutions for all application requirements in a distributed microservices environment
Build ingestion layers and a data lake using streaming ETLs and Change Data Capture
Implement large-scale batch and streaming pipelines with modern data processing frameworks
Build pipelines and scheduling infrastructures that other teams rely on every day
Ensure data quality, compliance, and governance across entire data platform
Help shape data-mesh concepts that empower other teams to leverage data independently
Partner with Data Engineers, ML Engineers, Data Scientists, BI Engineers, and Product Managers to move fast and build right

Requirements:
At least 5 years of experience as a Data Engineer or Data Infrastructure Engineer
A bachelor's degree in Computer Science or a related field
Deep knowledge of databases - SQL and NoSQL
Proven experience building large-scale data infrastructures, including Change Data Capture, streaming pipelines, and customer data platforms
Hands-on experience with Python, Pulumi/Terraform, Apache Spark, Snowflake, AWS, Kubernetes, and Kafka
Familiarity with open source tools like Airflow and DBT
Familiarity with AI concepts like RAG, embeddings, and LLM context engineering - a plus
Enthusiasm about learning and adapting to the exciting world of AI - a commitment to exploring this field is a fundamental part of our culture
Ready to work in an office environment most days of the week

This position is open to all candidates.

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8722869

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