• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

About Wolt

At Wolt, we create technology that brings joy, simplicity, and opportunities to cities around the world. We started in 2014 with restaurant food delivery, and today we provide delivery of (almost) everything. You can find us in over 500 cities across 30 countries worldwide. In 2022, we joined forces with DoorDash, and together we continue to dream big and expand globally.

Working at Wolt isn’t always easy, but it’s definitely exciting. Here, you’ll learn more, build more, and launch more than in most other companies. You’ll face many challenges, but you’ll also enjoy the journey. So, if you’re entrepreneurial at heart, highly motivated, and action-oriented – this could be the opportunity of your life.

This is a unique opportunity to join the launch teams of our new stores and influence the future of one of the most advanced retail markets in the world!

Job Locations: Central region, Tel Aviv, and Sharon.

What you’ll be doing

As a Store Manager, you will be responsible for full A–Z management of the store:

• Managing a team of ~20 pickers and shift leads.

• Overseeing work schedules, recruitment, training, and employee lifecycle management.

• Managing bonus programs and ensuring target achievement.

• Monitoring inventory, including reporting, packaging and picking KPIs.

• Ensuring product quality, freshness, availability, and ratings while continuously working on operational efficiency.

• Maintaining regular communication with suppliers and HQ, including order and stock management.

• Working with reports and computer systems.

• Driving operational improvements, including store development and optimization.

• Ensuring a safe, clean, and high-quality work environment.

Our expectations from you

• At least 3 years of experience managing a store, smart warehouse, or logistics center – required.

• Strong technological aptitude and ability to work with reports and performance monitoring.

• Full proficiency in Hebrew and English – required.

• Full-time availability, Sunday–Thursday.

• This role is open to all genders.

Our Commitment to Diversity and Inclusion

We are committed to growing and empowering a diverse and inclusive community within our company, our industry, and the cities where we operate. That’s why we recruit and cultivate teams made up of people from different backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table, along with the tools, resources, and opportunities to succeed.

SUMMARY

We’re looking for a talented Data Engineer to join our Data team and spread the power of Wiz.  The Data team develops and maintains the infrastructure for internal data and product analytics. We are looking for data enthusiasts, independent, logical thinkers with a can-do approach and a passion for problem-solving. We run a SaaS-based stack using BigQuery, Snowflake and dbt.

WHAT YOU'LL DO

• Design, build, and maintain data pipelines, datasets and catalogs for fast-growing products and business groups.
• Develop self-service data analytics solutions and infrastructure.
• Support ad hoc needs and requests of internal stakeholders.
• Collaborate with analysts, engineers, and internal customers from Product, Finance, Revenue, and Marketing.

WHAT YOU'LL BRING

• Bachelor’s or Master’s degree in a relevant technical field, or equivalent hands-on experience in software development or DevOps.
• 3+ years of experience working as a Data Engineer, including end-to-end designing, orchestrating, and building cloud-based data pipelines (e.g., Airflow, Prefect, Dagster).
• 3+ years of experience with dimensional data modeling and data warehouse implementation, specifically MPP databases like BigQuery, Snowflake, and Redshift.
• Strong knowledge of Python and Python-based data analysis tools such as Jupyter Notebooks and pandas.
• Strong SQL writing skills. Ability to write highly performant queries.
• Strong track record of executing projects independently in dynamic environments.
• Fast understanding of data and business needs and ability to translate them into data models.
• Team player with excellent communication skills.
• Containerization (Docker): Essential for reproducible environments.
• Knowledge of software engineering best practices: CI/CD concepts, code reviews, and unit testing.

ADVANTAGE

• Production-level experience with dbt, including project design, transformation, testing, and documentation.
• Infrastructure-as-Code (Terraform): Managing cloud resources (S3 buckets, IAM roles) via code.
• CI/CD pipelines (GitHub Actions/Jenkins): Automating the testing and deployment of data models.

By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy and that you consent to the retention of your application for consideration for future opportunities at Wiz.

The opportunity
SuperSonic is looking for a passionate Senior Data Scientist, to work end to end on some of our core problems. Solving these will help drive revenue and improve decision making.

As a Senior Data Scientist you will be handed a business problem and will be asked to provide an end to end solution - Unpack and thoroughly understand the business problem, define the strategy to deal with it and develop & deploy your solution along with relevant support.

What you'll be doing

• Design and implement end-to-end solutions - from business needs all the way to live deployment
• Monitor and own models in production
• Model, design, and implement machine learning and data mining algorithms
• Perform deep data analysis to evaluate performance and recommend improvements
• Help, guide and support our business partners to allow for scale and accuracy while adopting your solutions

What we're looking for

• At least 5 years of experience as data scientist /researcher, combining excellent hands-on SQL and Python skills
• At least 5 years of experience applying ML algorithms to solve real world business problems (e.g., Logistic Regression, Gradient Boosting Machines, Neural Networks, and unsupervised clustering)
• B.Sc in Computer Science, Statistics, Operations Research or equivalent
• Solid background with data lake and data warehouse technologies
• Great communication skills, Hands-On, independent and out of the box thinker

You might also have

• Experience in the Mobile gaming and advertising industries
• Proven experience with Airflow development
• Experience with big data technologies such as Spark, Trino, SingleStore DB
• Experience with Cloud Computing

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

We are seeking a highly energetic and talented security analyst to join Cato Networks' Managed Detection and Response (MDR) team. As an MDR security analyst, your primary responsibility will be to identify and respond to security threats across our service customers. You will utilize the groundbreaking Cato Threat Hunting System to proactively seek out unknown threats and enhance Cato Networks hunting capabilities. Leveraging the Cato Cloud data warehouse, you will develop threat hunting technics to effectively detect and address security threats. Moreover, you will serve as a trusted advisor to our MDR service clients, providing valuable insights into their security posture and the threat landscape they face 

This position offers an exceptional opportunity for network security enthusiasts who are passionate about Network Security, Malware Analysis, Threat Hunting, and Threat Intelligence. 

Responsibilities 

• Act as a Customer Security Advisor, conducting threat-hunting activities and performing security assessments on customer networks. Effectively communicate findings, recommendations for remediation, and mitigation strategies to customers 

• Serve as an escalation point for the SOC analysts, assisting in the investigation, analysis, and response to security incidents 

• Develop cyber kill-chain indicators of an attack and hunting heuristics to enhance the ongoing threat-hunting process 

• Enhance the product accuracy and its capacity to detect emerging threats within the dynamic security landscape 

Requirements and skills 

• Proven hands-on experience in the cybersecurity industry 

• Excellent customer service skills 

• Strong knowledge of networking architecture and protocols, including TCP/IP, DNS, SSL, SMB, HTTP, IP Routing, etc. 

• Comprehensive understanding of the cybersecurity landscape, common threats, and attack scenarios, such as malware infections, command and control (C&C) communication, drive-by attacks, phishing, and network scans 

• Practical experience with security technologies, including firewalls (FW), intrusion prevention systems/intrusion detection systems (IPS/IDS), antivirus (AV), security information and event management (SIEM) systems, endpoint protection, and network forensics tools 

• Analytical mindset, capable of formulating hypotheses and validating them through in-depth analysis and technical evidence 

• Fluent in English with exceptional communication skills 

• Proficiency in at least one scripting language such as Python or Ruby 

• Advantageous: Experience with Extended Detection and Response (XDR) solutions 

• Advantageous: Previous experience working in Managed Security Service Provider (MSSP) or Managed Detection and Response (MDR) providers as a Threat Hunter or Security Analyst 

• Ability to work effectively as a team player, demonstrating responsibility and strong organizational skills 

Education 

• Advantage – BSc. in Computer Science, Information technology, Mathematics or similar 

Data Engineer

We're hiring a 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 up.

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 company’s 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.

About you:

• BS or MS degree in Computer Science or a related technical field.
• 3-4 years of Python / Java development experience.
• 3-4 years of experience as a Data Engineer or in a similar role (BI developer).
• 3-4 years of direct experience with SQL (No-SQL is a plus), data modeling, data warehousing, and building ELT/ETL pipelines - MUST
• Experience working with cloud environments (AWS preferred) and big data technologies (EMR,EC2, S3 ) - DBT is an advantage.
• Experience working with Airflow - big advantage
• Experience working with Kubernetes - advantage
• Experience working with at least in one of the big data environments: Snowflake, Vertica, Hadoop (Impala/Hive), Redshift etc - MUST
• Experience working with Spark - advantage
• Exceptional troubleshooting and problem-solving abilities.
• Excellent verbal/written communication & data presentation skills.

Why join Tipalti?

Tipalti is the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Tipalti partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.

At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together. 

Founded in Israel in 2010, Tipalti is a global business headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi and Medellin.

Our tech teams are the engine behind our business. Tipalti’s tech ecosystem is extremely rich and we continually add new features to our products, ensuring that we respond to our clients’ needs at scale. Our tech teams retain a fast-paced, start-up vibe that encourages innovation and critical thinking. At Tipalti, you’ll have the opportunity to work with a diverse, global team of engineers, developers and product leaders who are collectively building the future of our best-in-class product suite as we transform financial operations for the future.

About Our Tel Aviv Offices:

Hybrid Work Model - Tipalti offers a hybrid work model, with two days per week working from home and three days per week from our beautiful offices in North Tel Aviv.

Shuttle Services - Shuttle services are available from the nearest train station and across Tel Aviv to the office.

Parking - Parking is available for all employees.

Snacks & Treats - Enjoy a selection of snacks and treats available on every floor.

#IL-hybrid

Staff Data Platform Engineer

We are looking for a Staff Data Platform Engineer to join our Engineering team and lead the evolution of our next-generation data platform. In this high-impact role, you will operate as a player-coach: you will be the technical visionary responsible for designing the ecosystem, while remaining deeply hands-on to implement scalable, secure, and intelligent solutions that power everything from operational reporting to advanced GenAI applications.

You will bridge the gap between complex business requirements and technical execution, advocating for a data-first culture. This role offers a clear growth path: while it currently starts as an individual contributor position, it has the potential to evolve into a leadership role.

Why join Tipalti?

Tipalti is the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Tipalti partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.

At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together. 

Founded in Israel in 2010, Tipalti is a global business headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi and Medellin.

About the Role

• Architecture & Hands-on Execution: Design and actively build a comprehensive data platform. You will not just oversee infrastructure; you will write the core code and build tools that support diverse workloads—from operational reporting to complex analytical queries.
• Strategic & Technical Delivery: Partner with product managers to translate business objectives into technical strategies, then lead the engineering effort to deliver them.
• Technology Evaluation: Continuously evaluate, prototype, and select best-in-class technologies to future-proof our data stack.
• Technical Leadership & Mentorship: Act as a primary advocate for platform adoption. You will foster a community of practice around data engineering, mentoring senior and mid-level engineers to elevate the team's technical bar.
• Governance & Quality: Implement and automate robust frameworks for Data Discovery, Quality, and Governance, ensuring solutions are trustworthy and compliant with financial regulations.

About you

We are looking for a highly motivated Staff Data Platform Engineer with a strong sense of ownership, eager to tackle technical challenges in a high-throughput data processing environment.

• Experience: 8+ years of hands-on experience in Data Engineering and Architecture, with a track record of building and shipping platforms at scale.
• Experience with modern big data platforms such as Snowflake, Databricks, or similar technologies.
• Hands-on experience with Data infrastructure experience (Orchestration, scalability, reliability, and cloud architecture).
• Data Movement & Integration: Deep understanding of data movement strategies, including high-frequency batching, CDC, and real-time event streaming.
• Technical Depth: Deep understanding of database internals. High proficiency in Python and SQL. You can dive into code when necessary to solve complex issues.
• Modeling & Architecture: Strong know-how in dimensional modeling and schema design (relational and NoSQL), with proven experience implementing Data Warehouse or Lakehouse architectures.
• GenAI & RAG Expertise: You have practical experience architecting and building RAG (Retrieval-Augmented Generation) pipelines, with specific knowledge of Vector Databases, Embedding Models, and LLM Orchestration frameworks.
• Business Acumen: A strong ability to understand business objectives and translate them into technical strategies that drive tangible value.
• Leadership and Communication: As this is a central role in the product tech organisation, you will need a strong ability to influence engineering teams and drive consensus without direct authority. You must have excellent communication skills to explain complex architectural concepts to C-level stakeholders and non-technical partners.

Our tech teams are the engine behind our business. Tipalti’s tech ecosystem is extremely rich and we continually add new features to our products, ensuring that we respond to our clients’ needs at scale. Our tech teams retain a fast-paced, start-up vibe that encourages innovation and critical thinking. At Tipalti, you’ll have the opportunity to work with a diverse, global team of engineers, developers and product leaders who are collectively building the future of our best-in-class product suite as we transform financial operations for the future.

About Our Tel Aviv Offices

Hybrid Work Model - Tipalti offers a hybrid work model, with two days per week working from home and three days per week from our beautiful offices in North Tel Aviv.

Shuttle Services - Shuttle services are available from the nearest train station and across Tel Aviv to the office.

Parking - Parking is available for all employees.

Snacks & Treats - Enjoy a selection of snacks and treats available on every floor.

#IL-hybrid

Who Connecteam is:

Connecteam is the leading platform for managing deskless teams, trusted by over 80,000 businesses worldwide.

We built Connecteam for real operators - the people running shifts, jobs, and teams across stores and sites. The kind of work that doesn’t happen behind a desk, and doesn’t have time for messy spreadsheets, scattered group chats, or tools that don’t talk to each other.

Connecteam brings daily operations and team communication into one intuitive app - from hiring and scheduling to training, tasks, and day-to-day coordination. It gives teams the clarity and control to run the day, shift after shift, job after job.

Backed by $220M+ from Insights Partners, Stripes, and Tiger Global, Connecteam is rapidly expanding worldwide - empowering frontline teams to work smarter, stay connected, and operate with greater efficiency.

About The Role

We are building the next generation of our analytics platform - combining strong data engineering foundations with AI-driven automation to dramatically accelerate analytics development across the company.

We are looking for a Senior Analytics Engineer to help design and build the engineering foundation that powers analytics across the organization.

Our goal is to create a modern data environment where analytics development is fast, reliable, scalable, and increasingly automated. This includes building strong data warehouse foundations, scalable modeling layers, and introducing AI-powered tools and automation that accelerate how data products are built and used.

In this role, you will be part of an analytics squad, working closely with analysts and business stakeholders while building the infrastructure, automation frameworks, and intelligent tooling that enable analytics to scale across the organization.

This is a unique opportunity to help build the next generation of the data organization.

Key Responsibilities

• Lead AI adoption in the analytics platform, building tools and workflows that automate analytics development, dashboards, and data exploration
• Design and build scalable data warehouse models and transformation layers
  
• Build and optimize ETL pipelines and core analytics infrastructure (Bronze / Silver)
• Improve performance, reliability, and scalability of the analytics platform
• Develop automation and internal tools that accelerate analytics workflows
• Enable self-serve data access across the company through semantic layers and reusable datasets
• Collaborate with analysts and business teams within an analytics squad
  
  

Experience & Skills

• 6+ years of experience in Data Engineering and Analytics Engineering roles, building modern data warehouses and analytics platforms using technologies such as BigQuery, dbt, and Python
• Experience with workflow orchestration (Dagster, Airflow, or equivalent) and building reliable, observable data pipelines
• Hands-on experience using AI coding platforms and tools to automate data engineering and analytics workflows
• Strong engineering practices including version control (Git), testing, code reviews, and CI/CD
  
• Experience building automation systems and internal tools for data teams
• Experience working closely with analysts, product teams, and business stakeholders in analytics-driven environments
• Strong problem-solving skills with a builder mindset
  
  

About Kape Technologies

Kape is a cybersecurity company focused on helping everyone have a better digital experience with greater privacy and protection. With over 1000 experienced individuals across ten global locations, including the UK, Israel, Germany, Romania, France, the Philippines, USA, Singapore, Hong Kong, and Cyprus, the Kape team is guided by a single mission: to create a more secure and safe world.

Job Summary

We are seeking a highly skilled and hands-on Senior Data Engineer to architect and maintain modern data infrastructure and pipelines.

This is a technical role focused on building a scalable data platform that powers analytics, insights, and agentic workflows to enable data-driven decision making across the company. You will work closely with analysts, product, and engineering teams to design end-to-end data solutions using tools like AWS Redshift, Athena, Snowflake, and other leading cloud platforms.

Core Responsibilities

• Design and build scalable data pipelines to ingest, process, and store large volumes of structured and unstructured data from diverse sources. 
• Develop and maintain robust data warehouse architectures leveraging tools such as AWS Redshift, Athena, and Snowflake. 
• Optimize data models, queries, and storage strategies for performance, scalability, and cost-effectiveness. 
• Collaborate with cross-functional stakeholders (analytics, product, payments and finance) to gather requirements and deliver data solutions that support business goals. 
• Ensure data quality, security, and privacy through best practices in governance, testing, and monitoring. 
• Own and operate production data workflows, resolving incidents and ensuring reliability. 
• Develop and maintain infrastructure optimized for both analytics and AI workloads, including transformation and semantic layers.
• Design and monitor agentic flows aimed at democratizing data access for users across the company, ensuring reliability, scalability, and accuracy.

Tech Stack

• Languages & Tools: Python, SQL 
• Data Warehousing & Query Engines: Snowflake, AWS Redshift, Athena 
• Pipeline & Orchestration: Apache Airflow, AWS Glue, dbt 
• Cloud & DevOps: AWS (Lambda, S3, IAM), Docker, Terraform 
• Streaming: Kafka, Kinesis 
• BI & Analytics: Tableau, Power BI

Core Requirements

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of experience as a Data Engineer, with a strong focus on data pipeline development and data warehousing
• Deep proficiency in Snowflake or AWS Redshift
• Strong programming skills in Python and SQL
• Hands-on experience building LLM-powered applications or workflows in a production environment for analytical use cases, for example ‘ask your data’ interfaces
• Experience with pipeline orchestration tools (Airflow, Glue, dbt)
• Solid understanding of data modeling, schema design, and ETL/ELT processes
• Strong analytical, problem-solving, and communication skills
• Ability to work cross-functionally and mentor others
• Experience in high-growth, product-led, or SaaS environments

Nice to Have

• Familiarity with AWS infrastructure and DevOps practices
• Knowledge of data privacy and security standards (GDPR, SOC2)
• Solid understanding of agent architectures (tool use, planning, memory management), prompt engineering and evaluation

About Venn 

Venn is a fast-growing technology company transforming the relationship between renters and multifamily operators. Our platform seamlessly connects every aspect of apartment living-rent payments, events, services, maintenance, and community engagement- creating a lifestyle co-pilot for residents and an engagement engine for operators.

We’re not just building software, we’re redefining how people experience home.

The Engineering Team- Venn’s software engineers develop the tech products that power Venn’s Neighborhood Engagement Platform. The products range from mobile apps, management tools for landlords, smart home solutions, marketplaces, and more. 

The Technology - We don't just use cutting-edge technologies, we architect and own them end-to-end. Our engineers take full ownership from technical design through implementation, testing, and deployment to production.

Our backend is powered by Go with a GraphQL api layer running on AWS with Kubernetes orchestration for scalable resilient services. We've built robust CI/CD pipelines on Jenkins that our engineers own and continuously optimize. Our mobile experience runs on React Native with Expo, while our web platform leverages React - our engineers ship features across the entire stack.

We've embraced durable workflows using Temporal for complex business processes, giving us unprecedented reliability and observability. Our data infrastructure spans the full spectrum - from real-time streaming with SNS and Kinesis, through S3 data lakes, to our Snowflake data warehouse - all architected and maintained by engineers who understand every component.

We're at the forefront of AI integration, leveraging AWS Bedrock and the latest language models to build intelligent features that our users love. Our engineers don't just consume AI APIs - they design, implement, and fine-tune AI-powered experiences.

What sets us apart? Our engineers lead features from conception to production. You'll design technical solutions, write the code, build the tests, and own the results. We automate relentlessly because manual work is time better spent solving interesting problems.

Our current tech arsenal includes: Go, AWS, Kubernetes, Jenkins, React Native (Expo), React.js, Temporal, SNS, Kinesis, S3, Snowflake, AWS Bedrock, and many more tools that help us build exceptional products.

About the role 

We are looking for developers who understand and believe in software engineering best practices (design, clean code, testing, code reviews, automation, etc) and who are also aware of bad practices and anti-patterns.

The must

• 7+ years of programming experience, using Golang, TypeScript, React
• Proven experience in developing web applications
• Strong analytical thinking, systematic problem-solving skills
• Have practiced Test-Driven Development and/or Continuous Integration & Delivery                  

The nice

• Experience in other languages and frameworks such as React native and GraphQL
• Worked on numerous projects in diverse business domains
• Experienced in cloud environment development
• Degree in computer science or equivalent
• Have contributed to, or managed an open-source project 

Venn is an equal opportunity workplace. We believe in the strength of inclusive communities and thrive to build a work environment that mirrors the diversity of the cities that we love.

HoneyBook is the leading AI-powered business management platform for service-based business owners. Designed to enhance—not replace—independent professionals, HoneyBook’s AI-powered tools help businesses attract leads, connect with clients, book projects, and manage payments more efficiently. With AI seamlessly integrated into every workflow, entrepreneurs can focus on their craft while scaling their businesses with confidence. Since its founding in 2013, HoneyBook has powered over 25 million client relationships and processed more than $12 billion in transactions, helping independent businesses grow faster and smarter.

Our culture is built on five core values that inform everything we do. We encourage collaboration, feedback, ownership, and have a growth mindset. We know experience comes in many forms, some visible on your resume, others not. No one candidate will be a 100% perfect match to our description, so if you thrive in a fast-paced, intellectually-charged environment and have similar experience to what we are looking for, we encourage you to apply.

We are looking for a talented Architect to join us. As a Data Architect, you will be the organizational point of contact for all things related to data persistence and architecture. You will work closely with engineering teams across the Product, Platform, and Data groups to design, govern, and evolve our data models, databases, and data-related systems. Your goal will be to ensure scalability, reliability, security, and efficiency for all data storage and retrieval across the organization.

A few of the things you will do:

• Be the primary point of contact and subject matter expert for data persistence across the entire engineering organization.
• Define and govern the data architecture strategy, standards, and best practices for relational, NoSQL, and data warehouse systems.
• Partner with engineering teams from product, platform, and data groups to design and implement scalable and robust data models for new and existing services.
• Lead the design and optimization of the organization’s data flows. You will help to ensure that data moves efficiently, consistently, and with high quality across all systems and domains.
• Evaluate and recommend new technologies and data solutions to meet evolving business needs.
• Drive initiatives to improve data quality, consistency, and integrity across all production systems, from ideation to hands-on execution.
• Establish, maintain, and communicate documentation for all data models and architectural decisions.

What is needed:

• 8+ years of experience in software engineering, with at least 3+ years in a dedicated Data Architect or Principal Database Engineer role.
• Deep expertise in designing and scaling complex transactional and analytical data systems (e.g., PostgreSQL, MySQL, NoSQL databases like Cassandra or MongoDB).
• Strong understanding of distributed systems, microservices architecture, and their impact on data persistence.
• Excellent collaboration and communication skills, with the ability to influence technical decisions across the organization.
• Grasp of the big picture: HoneyBook is on a mission to improve the way our users work and to revolutionize the entire events industry.
• Team player with strong communication skills, an egoless and transparent approach, and a positive attitude.

The good stuff:

• Mission-driven: You'll be joining more than just another startup - our members are at the heart of everything we do.
• Impact: We move quickly and encourage every employee to push the envelope. Our best ideas come from out-of-the-box thinking and innovation; be ready to fail fast and often!
• Compensation: We offer a competitive salary + meaningful equity based on merit.
• Benefits + Perks: From wellness programs to exceptional family leave policies, the health and happiness of our employees is foremost.

Our core values:

People come first: We prioritize people as we explore opportunities and work through challenges.
Raise the bar: We push for greatness—for ourselves, each other, and our members.
Own it: Trust and ownership let us make decisions with confidence.
We love what we do: We bring passion to our work and love what we create for our members.
Keep it real: Authenticity, respect, and transparency are at our core.

The opportunity at HoneyBook is huge. Our primary customers today are creative businesses that generate $150B in revenue per year in the US. Founded in 2013, HoneyBook is based in San Francisco and Tel Aviv, has raised $498M, and is funded by Tiger Global Management, Norwest Venture Partners, Aleph, Hillsven Capital, OurCrowd, Durable Capital Partners LP, Vintage Investment Partners, Battery Ventures, Citi Ventures, Zeev Ventures, and 01 Advisors.

Follow us on Instagram, Facebook and Medium and catch the latest stories about HoneyBook. Read about what our employees are saying about us on Glassdoor.

Senior Data Engineer

About the Role

Token Security, a leading platform for Non-Human Identity (NHI) management, is seeking an experienced Senior Data Engineer to join our growing team. The ideal candidate will have deep expertise in building large-scale data pipelines, designing high-performance data stores, and enabling analytics on massive security datasets. This role will be key in shaping how we ingest, process, and analyze billions of identity and activity logs to deliver insights to our customers.

Responsibilities

• Collaborate closely with Product, Backend, and Security teams to transform raw data into customer-facing features and insights.
• Design, implement, and maintain scalable ETL/ELT pipelines to process large volumes of log and event data.
• Build and maintain data ingestion frameworks at scale.
• Ensure data quality, availability, and performance.
• Proactively monitor, troubleshoot, and improve data infrastructure to support rapid growth.
• Architect and optimize ClickHouse, PostgreSQL, and other data stores for fast queries and efficient aggregation.

Requirements

• 5+ years of experience in a Data Engineer role, with a track record of building and maintaining scalable backend systems.
• Strong communication skills, collaborative mindset, and a passion for building data-driven products.
• Proven track record with ETL/ELT pipelines and data pipeline frameworks.
• Proficiency in Python and experience working with large-scale backend systems.
• Strong hands-on experience with Data Warehouse (e.g., Redshift, BigQuery, Snowflake).
• In-depth experience of cloud platform services (AWS preferred).
• Bonus: experience with event streaming technologies (Kafka, Kinesis) or data orchestration tools (Airflow, dbt, Dagster).