• 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.

• Oversee and optimize all logistics and warehouse management processes, ensuring efficiency and compliance.
• Implement asset management processes to track the full lifecycle of assets.
• Review and refine logistics/warehousing processes to identify areas for improvement.
• Set up and manage equipment certification processes to meet operational and regulatory requirements.
• Onboard new partners and locations, ensuring smooth integration into the logistics and asset management systems.
• Manage insurance for assets, including claims, renewals and risk mitigation strategies.
• Facilitate the sale and disposal of old assets in compliance with company policies and regulations.
• Collaborate with cross-functional teams to ensure seamless asset management and logistics operations.
• Monitor and report on key logistics and asset management metrics, providing insights for continuous improvement.

• 3-5 years of experience in logistics or logistics project management.
• Familiarity with logistics management systems, ERP software and asset-tracking tools.
• Strong project management skills with the ability to manage multiple tasks and priorities.
• Knowledge of logistics, warehouse operations and asset lifecycle management best practices.
• Strong attention to detail and organizational skills.

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.

So, what’s the role all about?

The R&D Business Operations team is responsible for collecting, analyzing, and managing R&D data, change requests, and various cross-unit projects and initiatives. As a BI Data Engineer, you will be the backbone of our data infrastructure owing end-to-end data pipelines that power the analytics and dashboards used across the R&D group, connecting a wide range of data sources into a coherent, scalable platform. You will accompany the full data journey, from ingestion and transformation through to the creation of datasets and, where needed, venture into the reporting and dashboard layer to deliver complete, business-ready data products.

We are looking for a seasoned, self-driven professional with a strong sense of ownership who can take a task from start to finish independently. We also value genuine intellectual curiosity — someone who keeps up with what's happening in the data and AI space, is willing to experiment, and helps the team identify where new technologies can create real value

How will you make an impact?  

•    Design, build, and maintain scalable data pipelines feeding dashboards and analytical products across the R&D organization
•    Own and manage the cloud data warehouse — schema design, performance tuning, and access control
•    Manage data ingestion workflows connecting diverse data sources to the central data platform
•    Develop and maintain transformation models ensuring clean, well-documented, and tested data layers
•    Accompany the full data lifecycle from raw ingestion to business-ready datasets, and build the corresponding reports and dashboards where needed
•    Implement data quality checks, monitoring, and alerting to proactively identify and resolve issues
•    Translate business requirements into data solutions, working across R&D, Product, IT, and Business Operations
•    Explore emerging AI capabilities as they relate to data engineering and help identify practical opportunities for the team

Have you got what it takes?

•    At least 5 years of hands-on, production data engineering experience
•    Proven expertise with a cloud data warehouse (Snowflake)
•    Hands-on experience with a data ingestion tool (e.g., Fivetran or equivalent)
•    Hands-on experience with a data transformation framework (e.g., dbt or equivalent)
•    Strong SQL skills: advanced querying, optimization, and data modeling
•    Strong hands-on experience working with external APIs, including authentication, rate limits, pagination, and error handling
•    Ability to design, build, and maintain custom API-based data ingestion pipelines in Python
•    Hands-on experience with Python for data engineering tasks
•    Practical experience operating workflow orchestration tools such as Airflow
•    Ownership and administration of cloud data environments such as AWS or Azure, including account-level responsibility for data workloads
•    A strong sense of accountability — comfortable being the go-to person for your data domains and available to respond when issues arise outside of regular hours
•    Genuine curiosity about developments in the AI and data space — someone who actively follows trends, is eager to experiment, and brings new ideas to the table

You will have an advantage if you also have:

•    Familiarity with BI and reporting tools
•    Experience with R&D tooling ecosystems
•    Exposure to data governance or data observability practices
•    Fluent English — written and spoken

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

#LI-Hybrid

Requisition ID: 10660

Reporting into: Director, R&D Operations, CX

Role Type: Individual Contributor

So, what’s the role all about?

The R&D Business Operations team is responsible for collecting, analyzing, and managing R&D data, change requests, and various cross-unit projects and initiatives. As a BI Data Engineer, you will be the backbone of our data infrastructure owing end-to-end data pipelines that power the analytics and dashboards used across the R&D group, connecting a wide range of data sources into a coherent, scalable platform. You will accompany the full data journey, from ingestion and transformation through to the creation of datasets and, where needed, venture into the reporting and dashboard layer to deliver complete, business-ready data products.

We are looking for a seasoned, self-driven professional with a strong sense of ownership who can take a task from start to finish independently. We also value genuine intellectual curiosity — someone who keeps up with what's happening in the data and AI space, is willing to experiment, and helps the team identify where new technologies can create real value

How will you make an impact?  

•    Design, build, and maintain scalable data pipelines feeding dashboards and analytical products across the R&D organization
•    Own and manage the cloud data warehouse — schema design, performance tuning, and access control
•    Manage data ingestion workflows connecting diverse data sources to the central data platform
•    Develop and maintain transformation models ensuring clean, well-documented, and tested data layers
•    Accompany the full data lifecycle from raw ingestion to business-ready datasets, and build the corresponding reports and dashboards where needed
•    Implement data quality checks, monitoring, and alerting to proactively identify and resolve issues
•    Translate business requirements into data solutions, working across R&D, Product, IT, and Business Operations
•    Explore emerging AI capabilities as they relate to data engineering and help identify practical opportunities for the team

Have you got what it takes?

•    At least 5 years of hands-on, production data engineering experience
•    Proven expertise with a cloud data warehouse (Snowflake)
•    Hands-on experience with a data ingestion tool (e.g., Fivetran or equivalent)
•    Hands-on experience with a data transformation framework (e.g., dbt or equivalent)
•    Strong SQL skills: advanced querying, optimization, and data modeling
•    Strong hands-on experience working with external APIs, including authentication, rate limits, pagination, and error handling
•    Ability to design, build, and maintain custom API-based data ingestion pipelines in Python
•    Hands-on experience with Python for data engineering tasks
•    Practical experience operating workflow orchestration tools such as Airflow
•    Ownership and administration of cloud data environments such as AWS or Azure, including account-level responsibility for data workloads
•    A strong sense of accountability — comfortable being the go-to person for your data domains and available to respond when issues arise outside of regular hours
•    Genuine curiosity about developments in the AI and data space — someone who actively follows trends, is eager to experiment, and brings new ideas to the table

You will have an advantage if you also have:

•    Familiarity with BI and reporting tools
•    Experience with R&D tooling ecosystems
•    Exposure to data governance or data observability practices
•    Fluent English — written and spoken

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

#LI-Hybrid

Requisition ID: 10660

Reporting into: Director, R&D Operations, CX

Role Type: Individual Contributor

Job Summary

We're looking for a Data Analyst to join one of our R&D. You'll design and deliver data-driven solutions that combine data analysis, statistical methods, improved heuristics, and ML models training to power Beamup's autonomous supply chain intelligence platform. You'll work closely with data science, engineering, product, and supply chain experts — owning solutions from problem definition to iterative improvement.

Responsibilities

• Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of supply chain performance
• Improve and maintain heuristic rules and analytical models for supply chain use cases (e.g., inventory risk, demand patterns, root-cause analysis)
• Train and iterate on ML models to enhance existing analytical solutions
• Define success metrics and evaluation plans with support from senior DS/PM; run error analysis
• Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
• Implement and refine hybrid decision logic by combining analytical outputs with statistical methods and SQL/rules-based logic for robustness and explainability
• Collaborate with software engineers to support deployment of analytical solutions, including testing and logging
• Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
• Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking

Requirements

• BSc in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field (or equivalent practical experience)
• 2+ years of experience as a Data Analyst in a product or business environment (or equivalent practical experience)
• Familiarity with Python and data analysis workflows
• Solid SQL skills (joins, aggregations, window functions) and comfort working with production data in a warehouse/lake environment
• Experience performing rigorous evaluation (baselines, cross-validation where relevant, error analysis)
• Ability to translate business questions into measurable metrics and a clear analytical plan (with guidance when needed)
• Experience working with messy real-world data: data validation, debugging pipelines, and collaborating on labeling/ground truth
• Strong communication and collaboration skills with engineering, product, and domain experts; comfortable receiving feedback and iterating fast

Nice to Have (Advantages)

• Experience building predictive ML models (e.g., classification, regression, anomaly detection)
• Familiarity with common DS libraries: pandas, NumPy, scikit-learn
• Experience with big data tools (e.g., Spark, BigQuery, Snowflake, Databricks)
• Experience with development AI agents (Cursor, Caude-Code, etc.)

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 

MyHeritage is seeking a highly capable and proactive Supply Chain Analyst to join our global Supply Chain team.
This is a unique, hybrid opportunity to step in as a critical maternity leave replacement, managing our daily tactical supply chain operations and ensuring seamless operations across our  fulfillment  network.
In this role, you will be at the critical intersection of operational execution and strategic forecasting.  

What you’ll do:

• Data Analysis & Performance Optimization:
• Extract, clean, and analyze complex supply chain data across all layers of the network: inbound freight, outbound fulfillment, and reverse logistics.
• Develop and maintain dashboards to monitor key warehouse and distribution KPIs, including on-time delivery, carrier performance, and cost-per-shipment.
• Conduct root-cause analysis on delivery exceptions or SLA failures, translating raw data into actionable process improvements.
• Analyze transportation reports to monitor and track distribution performance.
•   Planning:
• Support the monthly S&OP process by analyzing historical sales data, marketing forecasts, and seasonality to model accurate supply plans.
• Manage global inventory replenishment cycles

What you bring:

• Excellent English (written and verbal) - a must.
• 2-3 years experience in similar positions - a must.
• Strong background in supply chain operations, logistics, or fulfillment ideally within an e-commerce or high-volume global environment.
• High proficiency in Excel and data analysis tools.
• Strong attention to detail with the ability to audit complex freight, pricing, and 3PL invoices.
• Proactive, independent and able to manage multiple tasks.
• Team player capable of providing professional support and guiding junior team members.

About MyHeritage:

MyHeritage is the leading global platform for family history. It enriches the lives of people worldwide by enabling them to uncover more about themselves and where they belong. With a suite of intuitive products, billions of historical records, an affordable at-home DNA test, and AI-powered photo tools, MyHeritage creates a meaningful discovery experience that is deeply rewarding. The MyHeritage platform is enjoyed by tens of millions of people around the world who treasure and celebrate their heritage. MyHeritage offers full privacy controls and is available in 42 languages. Learn more at www.myheritage.com.

See what it’s like to work at MyHeritage on www.glassdoor.com.

Benefits at MyHeritage

Our employees enjoy a range of benefits to enhance work-life balance and well-being:

• Hybrid work model (this role requires 4 days at the office)
• Modern, beautiful office in Or Yehuda with shuttle service from Tel Aviv and employee parking (for our Or Yehuda employees)
• On-site gym and pilates classes
• Dog-friendly office
• Well-stocked kitchens and a monthly meal allowance 
• Fully funded supplemental health insurance

#LI-Hybrid

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.