לוח משרות דרושים מתכנת Oracle / PL/SQL

We are looking a highly skilled and motivated Senior Data Engineer to join our dynamic team.
The ideal candidate will be a great team player that can lead and also be responsible for designing, developing, and maintaining robust data pipelines and analytical solutions to support our business objectives.
This role requires a blend of engineering and analytical skills to ensure data integrity, optimize data workflows, and provide actionable insights.
This role requires a deep understanding of financial data, system integration, and analytics to support strategic decision-making and regulatory compliance.
Your Day-to-Day:
Design, develop, and maintain scalable data pipelines and ETL processes.
Collaborate with product, analysts, and other stakeholders to understand data requirements and translate business needs into technical requirements.
Ensure data quality and integrity across various data sources.
Develop, maintain and own data models, schemas, and documentation.
Optimize database performance and troubleshoot issues.
Stay updated with the latest industry trends and best practices in data engineering and analytics.

We are looking for a passionate and experienced AI Agentic Developer to join our SCA Department .
In this role, you will drive the evolution of our Software Composition Analysis (SCA) platform into the era of autonomous AI agents.
Youll lead the integration of our security capabilities into modern AI workflows and toolchains, leveraging technologies such as LangChain, AI code assistants, agentic frameworks, and large language models (LLMs).
Youll work on building robust, scalable backend services in Go and Python, supporting high-throughput, enterprise-grade systems. Youll also collaborate with AI researchers, DevOps, and product managers to define and deliver intelligent, secure solutions for the developers of tomorrow.
**Working in a hybrid model! ( two days from the office, three days from home**
Responsibilities:
Design and implement high-performance, fault-tolerant backend systems using Go and Python.
Build and maintain integration layers between SCA platform and AI agents, LLM-based systems, and developer tools.
Collaborate with AI research and platform teams to build secure, intelligent agentic workflows.
Architect scalable services that support real-time decision-making and security insights for autonomous agents.
Lead and participate in design discussions, code reviews, and AI/ML experimentation loops.
Guide junior team members and contribute to a knowledge-sharing culture.

We are seeking a highly skilled and experienced full-stack developer to join our team. As a Sr. FullStack developer you will be responsible for architecting, developing and enhancing all components of our SAAS solution.
**In this position, you will work in a hybrid model, which means you will spend two days at the office and three days working from home.**
What will you do?
Designing and developing AppSec SAAS Platform from concept to deployment.
Collaborating with cross-functional teams to gather requirements and define project objectives.
Leading and championing proof-of-concept initiatives focused on artificial intelligence empowerment, demonstrating the feasibility and value of GenAI solutions for business challenges.
Developing efficient and reliable FE and backend systems using React, Go, Java and other related technologies.
Owning and Leading proof-of-concept initiatives focused on artificial intelligence empowering, demonstrating the feasibility and value of AI solutions for business challenges.
Optimizing application performance and ensuring scalability and reliability.
Creating and maintaining databases, writing efficient queries, and ensuring data integrity.
Conducting thorough testing and debugging to identify and resolve issues.
Collaborating with other developers and participating in code reviews to maintain code quality and best practices.
Staying up to date with emerging technologies and trends in software development especially focusing on GenAI.

we are on the lookout for a SQL Developer to become a key player in our Holon team. If you're a seasoned SQL Developer and ready to take your career to new heights with an established, globally successful company, this role could be the perfect fit.
Location: Holon
Working Model: Our flexible work arrangement combines both remote and in-office work, optimizing flexibility and productivity.
This position will be part of Israel division.
*Temporary role, with option to continue after 3-6 months (maternity leave)
What youll do:
A member of the Migration Data Cleansing team.
Data Cleansing Developer, understanding of the target system data structure, and Data Cleansing needs.
Writing scripts and queries for the Data Cleansing Process.
Create, optimize, and maintain complex SQL code (stored procedures, views, functions, queries).

We're looking for a hands-on, business-minded Analytics Engineer to build the infrastructure and tooling that turns this data into operational gold.
Youll be the first data hire in our new Operations Insights team, responsible for designing the operations data platform, generating insights for internal and external stakeholders, and helping our business teams deliver measurable impact. This is a hybrid role that combines data engineering with analytics and product thinkingyoull build, analyze, and consult.
From designing the data warehouse to crafting performance dashboards and investigating edge-case customer issues, youll be the go-to person who makes data accessible, trustworthy, and powerful.
A day in the life:
Design and implement the operational data platform, consolidating data from R&D systems
Build and maintain data pipelines and tables for store performance, deployment health, and system diagnostics
Collaborate with the Director of Customer Value & Insights and Expansion Managers to define KPIs and surface business insights
Conduct exploratory data analysis to support tough customer and deployment challenges
Build internal tools and dashboards that empower teams to self-serve critical data
Investigate anomalies, edge cases, and complex failure scenarios to improve deployments
Maintain data quality, documentation, and observability as we scale to hundreds of stores

were looking for a unique kind of engineer.
This is not a classic SRE role. Its for someone who lives at the intersection of software, systems, and physical operationswho can guide complex deployments remotely, troubleshoot bizarre edge cases in live environments, and build the automation and structure that make all of it repeatable at scale.
As part of the Ops Technology team, youll take charge of deploying our system in live stores, working closely with customer technology teams and 3rd-party integrators. Youll monitor installations, debug weirdness from afar, guide teams through configuration and calibration, and evolve the tooling that makes it all work across hundreds of diverse store environments.
In this role, youll not only operationalize deployments at scaleyoull gain a deep understanding of core algorithms and engineering stack to ensure every store performs at its best. Your work will help bridge the gap between code and real-world execution, turning complexity into repeatable success.
A day in the life:
Oversee and drive deployments of system in stores around the worldremotely, reliably, and at scale
Guide and support customer tech teams and 3rd-party integrators during store setups (camera calibration, product database uploads, system configurations, etc.)
Debug and resolve real-world failures that arise when software meets physical retail complexity
Design and refine deployment tools and pipelines that support rapid, scalable, and low-touch installs
Collaborate cross-functionally with R&D, product, and field teams to harden the system against operational variance
Act as Tier 2/3 technical escalation, stepping in when deployment blockers need hands-on attention
Build documentation, processes, and field guides to enable integrators and client teams to succeed

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.

We are looking for a Systems Analyst to define and specify web and mobile systems, from planning to production.
Key Responsibilities:
Define web and mobile systems, create Detailed Design documents.
Understand business and technical requirements, coordinate with development and production teams.
Conduct testing, optimize web systems, and provide maintenance and support.

A software company in Tel Aviv is hiring an Applicative DBA to join it's development department..
Responsibilities:
Database development and management of a large SaaS system serving hundreds of thousands of users.
Offer support for production systems, including database monitoring, tuning, and troubleshooting.
Demonstrate strong interpersonal and communication skills, contributing positively as a team player.

We are seeking a talented Full Stack Developer with strong expertise in Python and SQL to join our dynamic team. The ideal candidate will have substantial backend and data engineering experience, with the capability and willingness to support and develop features across the entire stack.
Responsibilities:
Develop, enhance, and maintain backend systems, particularly focusing on Python-based services and advanced SQL queries.
Handle extensive data engineering tasks, including translating Python analytics into optimized Snowflake SQL queries.
Support end-to-end feature delivery, contributing both backend and frontend development as required.
Ensure high-quality coding practices, efficient troubleshooting, and proactive improvement of platform components.
Actively participate in the teams agile practices, contributing to architecture decisions and overall technical direction.

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll be more than just a coder - youll be the architect of our data ecosystem. Were looking for someone who can design scalable, future-proof data pipelines and connect the dots between DevOps, backend engineers, data scientists, and analysts.
Youll lead the design, build, and optimization of our data infrastructure, from real-time ingestion to supporting machine learning operations. Every choice you make will be data-driven and cost-conscious, ensuring efficiency and impact across the company.
Beyond engineering, youll be a strategic partner and problem-solver, sometimes diving into advanced analysis or data science tasks. Your work will directly shape how we deliver innovative solutions and support our growth at scale.
Responsibilities:
Design and Build Data Pipelines: Architect, build, and maintain our end-to-end data pipeline infrastructure to ensure it is scalable, reliable, and efficient.
Optimize Data Infrastructure: Manage and improve the performance and cost-effectiveness of our data systems, with a specific focus on optimizing pipelines and usage within our Snowflake data warehouse. This includes implementing FinOps best practices to monitor, analyze, and control our data-related cloud costs.
Enable Machine Learning Operations (MLOps): Develop the foundational infrastructure to streamline the deployment, management, and monitoring of our machine learning models.
Support Data Quality: Optimize ETL processes to handle large volumes of data while ensuring data quality and integrity across all our data sources.
Collaborate and Support: Work closely with data analysts and data scientists to support complex analysis, build robust data models, and contribute to the development of data governance policies.

we are seeking a strategic and data-driven Business Data Analyst to join our team!
In this role, you will play a key part in analyzing business performance, customer acquisition, and go-to-market strategies.
You will explore various data sources, develop key performance metrics, and identify opportunities to optimize our market penetration and customer engagement initiatives. Your insights will support strategic decision-making and help drive growth across marketing functions.
You will leverage your analytical expertise to deliver actionable insights that influence our business strategies and performance.
Responsibilities:
Develop a deep understanding of data models related to customer acquisition, marketing funnel, new products launches, revenue, and overall business performance.
Design and implement new data models, KPIs, and predictive analytics to support go-to-market and strategic initiatives.
Build, maintain, and monitor reports, dashboards, and metrics to track business health and growth targets.
Analyze data to identify trends, opportunities, and risks across customer segments and market channels.
Communicate insights and strategic recommendations to executive leadership and cross-functional teams.
Collaborate with stakeholders to align data initiatives with business objectives and become a trusted analytics partner.

Join Our BI Team as a BI Developer! About Us: The BI department at our company empowers Finance, Sales, and Production with cutting-edge BI solutions and analytical products. We leverage various technologies, including building DWH, dashboard development, Alerting, and reporting tools.
What will your job look like:
Work with the design team members to understand and articulate design management processes, map them to business intelligence requirements, and implement them into indicators
Create dashboards with a deep understanding of data, customer and business needs
Create, support, and maintain QlikSense modules
Developing and maintaining DWH using Talend
Create and maintain NPrinting reports (QlikSense).

We are looking for a Business Applications Analyst.
The Business Applications Analyst will be part of a team that owns, develops, and executes the day-to-day configuration, support, maintenance and overall improvement of instance of Salesforce and other related applications. In this role, you will configure and operate business applications while working closely with different business units including Sales, Marketing, SDR, Customer Success, Finance, Legal and more.
Responsibilities:
Lead Salesforce projects end-to-end: characterize business needs, design and develop new processes and implement them in Salesforce and other business applications
Support integrations with external systems e.g. Dealhub, Allbound, Funnelsource, ClientSuccess, Hubspot, Docusign, Outreach, PRM and more
Provide ongoing technical support including system configuration & maintenance
Monitor the efficiency of the system and introduce ways to improve it
Establish best practices and drive adoption of new workflows and processes
Analyze business questions and identify growth opportunities
Be responsible for data integrity and meta-data maintenance
Document processes, workflows and best practices in knowledge base