Data Engineer

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8808245

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לעוד משרות ומידע על G-NESS >

לפני 9 שעות

data Engineer / data Developer

G-NESS

Location: Herzliya

Job Type: Full Time and Jobs without resume

We are looking for a Mid-Level data Professional with strong SQL skills, hands-on experience with Airflow, the ability to read and understand Python code used in data pipelines, and practical familiarity with AI-assisted tools such as Cursor or Claude.
Job Description-
In this role, you will serve as a core pillar of our data operations and pipeline management. This position requires a blend of sharp analytical thinking, advanced problem-solving, and a deep understanding of production-grade ETL /ELT workflows. You will closely manage and optimize our data infrastructure, investigate and resolve complex data discrepancies, duplicates, and missing records, and leverage modern AI-driven tools to accelerate your workflow and troubleshooting. Furthermore, you will act as a key bridge, communicating technical data issues clearly and effectively to both technical and non-technical stakeholders.

Requirements:
Must-have
4+ years of experience in data engineering, analytics engineering, BI engineering, or a similar data -focused role
Strong SQL skills, including complex queries, joins, aggregations, CTEs, and window functions
Experience investigating data discrepancies, duplicates, and missing records
Ability to troubleshoot Airflow DAGs, including task dependencies, schedules, and failures
Ability to read and understand Python code used in data pipelines
Familiarity with AI-assisted tools such as Cursor or Claude for troubleshooting and productivity
Experience working with production ETL / ELT pipelines
Strong problem-solving skills with high attention to detail
Nice-to-have:
Familiarity with marketing data or campaign performance flows
Experience with modern data platforms (Spark, Iceberg, Kafka, or cloud systems)
Passion for exploring new AI capabilities and adopting innov

This position is open to all candidates.

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8807791

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לעוד משרות ומידע על TechTalent >

לפני 10 שעות

דרוש /ה Senior data engineer למשרת One man /Woman show

TechTalent

מיקום המשרה: מספר מקומות

סוג משרה: משרה מלאה

לחברת הייטק בשלב Seed שגייסה 15 מיליון דולר דרוש/ה Senior data engineer.
במסגרת התפקיד: עבודה בתור data ראשון/ה בחברה, הקמה מאפס, שימוש בכלי data
מתקדמים, הקמת מערכים, שימוש ב- Python data Flow, עבודת BI כולל הקמת DWH,
וכן עבודה צמודה לצוותי פיתוח בחברה.

דרישות:
תואר ראשון בהנדסת תכנה
7 שנות ניסיון לכל הפחות בעולמות data - חובה
רקע מתפקיד הקמה בתחום
ניסיון ב- Python - חובה
רקע ב- data Flow
ניסיון רב בעולמות BI המשרה מיועדת לנשים ולגברים כאחד.

עוד...

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עדכון קורות החיים לפני שליחה

8802738

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18/08/2026

Sr. AI Backend & Data Engineer

חברה חסויה

Location: Herzliya

Job Type: Full Time

We are seeking a candidate who views AI tooling as a fundamental force multiplier in their daily engineering process. This position is central to our transition into an AI-native function, requiring an individual capable of making decisive, pragmatic architectural choices on reversible matters to maintain momentum. We need an experienced builder of production-grade, data-centric systems who is obsessed with delivering customer value and possesses a deep, curious enthusiasm for the transformative potential of AI.
What You Will Build:
AI-Native Systems Development. Design, build, and own scalable data and ML pipelines, backend services, and AI-powered capabilities that are part of the platform's production decision-making layer. AI and ML components are runtime dependencies in this role - not research projects or experiments. Candidates will have strong back end and data engineering skills to thrive in this space.
Daily Shipping. Decompose complex work into safely mergeable increments and ship them daily. Treat large, multi-day pull requests as a risk to momentum. Use feature flags, canary releases, and rollback architecture to manage risk through isolation - not through avoidance.
AI-Augmented Engineering Workflow. Leverage AI-assisted development tooling (code generation, automated testing, architecture prototyping) as a core workflow multiplier. Evaluate and experiment with emerging AI tools and frameworks with direct hands-on engagement. Bring technical depth to AI fluency - architecture and capability tradeoffs, not surface-level awareness.
End-to-End Ownership. Own your work from design through production deployment, operational monitoring, and business impact measurement. Accountability extends beyond the feature to CI/CD pipeline health, observability, cost efficiency, and domain-level outcomes.
Architectural Decision-Making. Make pragmatic, timely architectural choices that balance modern AI and data technologies with reliability, cost, and delivery speed. Distinguish reversible vs. irreversible decisions and move forward without waiting for consensus on the former. Document decisions in lightweight ADRs and own the outcomes.
Cross-Functional Collaboration. Partner with product, design, infrastructure, and GTM teams to translate customer and business needs into technical solutions. Operate with business awareness - understand how your systems impact revenue, customer outcomes, and strategic priorities.

דרישות:
5+ years building and shipping production-grade back end and data systems in distributed cloud environments (AWS and/or GCP).
Hands-on AI/ML integration in production workflows. You have shipped systems where AI, LLM, or agent-based components are part of the production runtime - not just prototypes or research. You can speak to the architectural tradeoffs of integrating AI into live backend systems.
Active use of AI-assisted development tooling as a workflow multiplier. You currently use AI tooling (Copilot, Cursor, or equivalent) to accelerate your engineering output and can articulate specifically how it increases your throughput. You stay current on relevant tooling without being directed to do so.
Strong back end expertise in Java (Spring Boot), Python, and/or Go. Hands-on experience with relational and non-relational databases, data modeling, and query optimization.
Demonstrated expertise in automated testing, CI/CD, and observability.
High-Velocity ownership - candidates should thrive in high-ownership, builder-first environments where shipping daily and owning outcomes are fundamental to the role.
Demonstrated ability to break work into small, incremental deliveries and maintain strong delivery flow. You have a track record of decomposing complex work into small, safely mergeable increments and shipping software solutions to solve customer pain continuously. You can describe your approach to scope deconstruction and provide concrete examples.
Preferred
Experience shipping ML-Ops powered s המשרה מיועדת לנשים ולגברים כאחד.

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8787459

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לפני 3 שעות

Data Scientist Engineer

חברה חסויה

Location: Herzliya

Job Type: Full Time

We are looking for a Senior Data Scientist to lead the development of machine learning solutions powering real-time decision-making and recommendation systems in industrial production environments.

This is a hands-on role with end-to-end ownership. You will be responsible for the full modeling lifecycle, from problem framing and data exploration to modeling, evaluation, deployment, and production impact. You will work with complex, noisy sensor and control data, building models that must be robust, interpretable, and reliable in real-world conditions.

You will collaborate closely with deep learning researchers, research engineers, and domain experts, and play a key role in shaping how data science is applied across the system.
Key Responsibilities

Design, develop, and evaluate machine learning models for real-time industrial applications
Own the end-to-end modeling pipeline, including problem formulation, data preparation, feature engineering, model development, evaluation, deployment, and post-production monitoring
Translate ambiguous production challenges into well-defined data science problems
Lead feature engineering and data exploration on complex sensor and control datasets
Define KPIs, evaluation frameworks, and experimentation strategies
Ensure model robustness over time, including monitoring, drift detection, and continuous improvement
Work closely with data and research engineers to bring models into production
Drive best practices in modeling, validation, and reproducibility
Communicate insights, trade-offs, and recommendations clearly to stakeholders

Requirements:
B.Sc./M.Sc. in Computer Science, Statistics, Applied Mathematics, or related field
5+ years of hands-on experience applying machine learning in production environments
Strong Python skills and experience with ML libraries such as scikit-learn, XGBoost, LightGBM, or CatBoost
Proven experience with feature engineering, model selection, and evaluation in real-world scenarios
Strong statistical understanding and ability to reason under uncertainty
Experience working with messy, high-dimensional, or time-series data
Ability to independently own problems and drive them to production

This position is open to all candidates.

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8809118

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לפני 7 שעות

AI Researcher

חברה חסויה

Location: Herzliya

Job Type: Full Time

Design, implement, and train state-of-the-art neural network architectures for robotic applications, including large multimodal models (vision, language, sensor data) and generative models.
Architect and maintain scalable deep learning frameworks for training on massive, real-world robot datasets.
Develop and implement cutting-edge techniques in areas such as imitation learning, reinforcement learning, self-supervised learning, and video-based models.
Own the full machine learning lifecycle: define data collection and labeling strategies, build high-throughput data pipelines, and establish robust evaluation and deployment protocols.
Collaborate closely with software, hardware, and controls teams to integrate and test your models on physical robots.
Leverage and contribute to internal tooling for large-scale data processing, model experimentation, and continuous integration.

Requirements:
Proven experience (M.S., Ph.D., or equivalent industry experience) in Computer Science, AI, or a related field.
Strong software engineering skills are non-negotiable; demonstrated excellence in solving complex engineering problems, particularly in Python.
A deep, "under the hood" understanding of modern deep learning, including network architectures, loss functions, optimization, and transformers.
Extensive hands-on experience with PyTorch.
A proven track record of training large-scale deep learning models on large datasets.
Ability to thrive in a fast-paced, high-impact environment where solutions are often unclear and require deep exploration.

This position is open to all candidates.

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8808256

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19/08/2026

Data Engineering Team Lead

חברה חסויה

Location: Herzliya

Job Type: Full Time

Required Data Engineering Team Lead
As a Data Engineering Team Lead, you will:
Design and implement observability solutions for monitoring, overseeing and investigating the security and health of the companys products and infrastructure.
Architect, build and maintain data platform and pipeline tools for ingestion, streaming, transformation and storage.
Partner with security, platform and engineering teams to investigate incidents, support OPSEC research and produce forensic-ready data analysis.
Develop interactive dashboards, automated reporting and alerting workflows that translate complex production data into actionable insights.
Drive strategic improvements in how data shapes OPSEC policies, research, incident response and cross-team risk mitigation efforts.

Requirements:
2+ years of demonstrated experience leading a technical team.
Proven experience designing and operating enterprise-scale data platforms/lakes/warehouses.
Deep familiarity with big data ecosystems and monitoring/log analysis tools used for security telemetry, distributed tracing, and incident response.
Strong software engineering fundamentals with high level proficiency in one or more programing languages (Python, Java, Go, Rust, etc.).
Proficiency in system design, development tools and best practices for building scalable and maintainable solutions.
It would be great if you also have:
Experience applying AI to observability or security workflows (e.g., LLM-powered agents, MCP server architecture, anomaly detection or automated log parsing).
Production experience with Elasticsearch and Splunk for log aggregation, full-text search and security analytics.
Background working directly with cybersecurity data sources.

This position is open to all candidates.

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8788529

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19/08/2026

Data Engineer - Billing Platform

חברה חסויה

Location: Herzliya

Job Type: Full Time

We are looking for a Data Engineer to join our usage metering & billing platform team! with a strong background in writing ETLs and complicated data processing pipelines. Youre deeply familiar with modern data processing stack (especially Spark, Hadoop and Airflow), have a strong problem-solving attitude and, most importantly, youre passionate about understanding the business side of the platform. Our platform engineers have an end-to-end understanding of the data our products generate and the commercial models and data structures in which they fit.

What youll do:
Develop end-to-end ETLs and data infrastructure features from data processing logic to database choice and implementation through to API development.
Improve the scalability and performance of existing data pipelines.
Delve into existing pipelines and business logic, target weaknesses and add functionality.
Mentor, advise, and work collaboratively within the Biz Data & Dev group, with other development teams, and with all other business teams of the company.
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible.
Collaborate on software-oriented projects as needed, bridging data engineering expertise with backend development work in a cross-functional environment.

Requirements:
3-5 years of experience in data engineering in Big Data environments
2+ years of experience with Spark and its ecosystem.
Experience using JVM stack, build tools, and environment (We mostly use Scala).
Experience with public cloud environments (AWS will be a bonus), Hadoop ecosystem, SQL and NoSQL databases.
High proficiency with Python and at least one JVM-based language (Scala, Java, or Kotlin).
Proficiency with SQL and experience with ETL and data modeling and development.
Positive attitude and willingness to take ownership.
A mindset of continuous learning and the desire to try new things.
Ability to see the "big picture" and to understand the business side of things.
Hands-on experience with modern AI tools (e.g., LLMs, code assistants) and a proactive curiosity to evaluate and integrate AI-driven solutions into data engineering practices- Advantage.

This position is open to all candidates.

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8788782

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05/08/2026

ML Systems Engineer

חברה חסויה

Location: Herzliya

Job Type: Full Time

We are looking for a Software Engineer specializing in ML Systems Engineering to join our Development department.
While vision and language models have become increasingly commoditized, our proprietary deep learning models are unique, fast-evolving, and deployed in live trading across the worlds most efficient and sophisticated financial markets. Operating in this environment presents distinct scaling challenges and continuous opportunities for optimization. Success in this role requires first-principles thinking and a deep understanding of the engineering trade-offs behind high-performance DL systems.
This is a pivotal role within our engineering organization. You will work closely with researchers and engineers across the company, running deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.

Requirements:
B.Sc. with honors in CS/EE/Math/Physics, or a related field from a top-tier university
5+ years of hands-on experience building and deploying large-scale deep learning systems in production
Advanced proficiency in PyTorch/TensorFlow
Preferred Qualifications:
M.Sc. or Ph.D. in a relevant quantitative field - Advantage
Proficiency in Python/C/C++
Deep, working knowledge of PyTorch internals
Strong experience in several of the following areas:
Performance profiling and optimization of deep learning workloads
Orchestrating and optimizing large-scale distributed training (hundreds to thousands of GPUs)
Optimizing model serving and inference pipelines (quantization, distillation, compilation, memory optimization, etc.)
Training and scaling state-of-the-art vision, language, or diffusion models
Implementing custom CUDA/Triton kernels.

This position is open to all candidates.

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8769562

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05/08/2026

Researcher

חברה חסויה

Location: Herzliya

Job Type: Full Time

Required Researcher
Description
We are a world leader in trading algorithms and trade execution technologies development. Our multi-disciplinary teams have developed a unique and highly successful machine learning algorithmic based HFT platform that delivers excellent results.
Our research is run by an outstanding team of brilliant researchers who love the extreme challenge of beating the markets. We consistently profit in challenging markets that get increasingly efficient.
We have no customers, and no marketing. It is a pure technological and algorithmic challenge. Hence the time-to-market from a research idea until it is used and make profit by our trading machines is very short.
In a world increasingly dominated by learning machines and artificial intelligence, we are especially proud of our humans. Our elite team of exceptional people are the soul of our company, and it is our top priority to provide them with a professionally fulfilling environment that supports healthy work-life balance. Our employees are encouraged to pursue their passions outside of work and we are proud to offer them a variety of opportunities, multiple resources and an agile work environment which promotes their well-being.
Our unique research team is expanding, we are looking for smart and humble team members to join the team and solve complex problems. Our technical challenges include developing new trading strategies, , improving the performance of our algorithms, finding new ways to beat the markets. As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on our financial performance this is a great opportunity.
In this role you will:
Mange and lead independent research applying ML/DL methods to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize our Algorithms.

Requirements:
Masters or PhD in Computer Science, Physics, EE, Mathematics, Statistics, or a related field.
5+ Years of experience of ML research/Deep Learning etc.
Experience with software engineering in Python (must) , C++/Rust is a plus.
Strong statistical analysis and mathematical skill.
A great team player eager to share/learn/teach other team members.
Creative, self-motivated, love complex problems, determined.

This position is open to all candidates.

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8769569

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לפני 2 שעות

Technical Integration Manager

חברה חסויה

Location: Herzliya

Job Type: Full Time

Were looking for a Technical Integration Manager to join our team and help connect the dots between our business goals and R&D efforts. This hybrid role is ideal for someone who enjoys working between business and technology, combining project coordination with technical understanding.
Youll be the main connection between our business units and R&D - understanding business needs, translating them into clear requirements, aligning priorities, and helping teams deliver successfully. Youll also support product and project activities to move initiatives forward.

Responsibilities

Serve as the main point of contact between business stakeholders and R&D
Translate business needs into clear requirements and technical briefs
Work closely with R&D to ensure alignment on scope, timelines, and delivery expectations
Own development initiatives end-to-end spec, tasks, QA, rollout, and monitoring whether you build them yourself using AI tools, automation and no-code, or hand them to R&D developers.
Write technical specs and acceptance criteria, and manage the work in task management tools.
Guide and train the business departments on new features documentation, walkthroughs, and ongoing support
Coordinate cross-functional meetings, updates, and ongoing communication
Assist in planning and prioritizing roadmaps and project timelines
Track and report on progress, risks, and blockers across multiple initiatives
Solve complex tech problems and support the business departments
Build new dashboards for internal and external users using tools like Google Data Studio, Redash, Tableau and others.

Requirements:
B.Sc in Industrial engineering and management/ Information System/ Computer Science or equivalent [a must]
2+ years of experience in project management, or technical support
A can-do attitude, willingness to tackle problems or new tasks and go the extra mile
Ability to work within a team or individually
Experience in a product, project, or technical coordination role
Knowledge/experience in Python and SQL
Understanding of APIs, JSON, webhooks, authentication, and system integrations
Experience working with data and translating business requirements into KPIs, reports, and dashboards
Understanding of Generative AI, LLMs, AI agents, and AI-powered automation
Ability to identify opportunities to apply AI and automation to improve business and technical processes
Familiarity with working with AI APIs and AI-based tools
Good mathematics, problem-solving, interpersonal and organizational skills
Ability to drive tasks to completion in a cross discipline environment
Detail-oriented with a focus on delivery and follow-through
Fluent in English and Hebrew (spoken and written) [a must]
Familiarity with agile methodologies and tools like Jira and Trello [Advantage]
Previous experience in an adtech, media, or SaaS company [Advantage]

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8809149

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