לוח משרות דרושים מתכנת Oracle / PL/SQL משרה מלאה, לחיפוש זה נמצאו 43 משרות

abra North is looking for an experienced Priority Developer to join a growing ERP Priority development team, working with a wide range of clients and projects. Work Model: Hybrid – full remote or from our northern offices in Alonim / Kiryat Shmona Role Description:
* Development of modules and solutions on the ERP Priority system
* Development, maintenance, and enhancement of existing code, including understanding complex code and modifying it according to requirements
* Development of procedures, screens, reports, programs, and interfaces
* Development of API / Web Services interfaces
* Analysis of technical requirements and translation into system-level solutions
* Performance improvement and optimization of existing developments
* Ongoing work with project managers, implementers, and clients
* Working in a multi-tasking environment, meeting deadlines, and collaborating within a team

Our R&D team is seeking a Backend Developer to help construct and expand our core financial platform.
In this role, you will collaborate with a talented team to optimize high-impact transactional systems-covering client billing for captured savings, invoice creation and collection, as well as payment reconciliation and processing.

We are seeking a Data Analyst to drive data-informed decision-making and unlock insights that directly fuel our growth. Your mission will be to ensure smooth operations, optimize processes, and maximize efficiency across the organization. As our Data Analyst, you will work with large-scale datasets to identify trends and generate strategic insights. You will collaborate with cross-company teams to ensure the smooth maintenance and daily operations of our flagship product, while driving business analysis and identifying growth opportunities.
Every team member is a versatile contributor, shaping the product from user experience to development, and you will play the same integral role. We value passion for building products end-to-end, across UX, design, testing, and deployment, while always keeping the user experience at the center.
Responsibilities:
Analyze data in our flagship product to uncover trends and deliver actionable insights.
Build and maintain BI dashboards and reports for decision-making.
Design efficient processes and standards for streamlined operations.
Translate business questions into clear, measurable analyses.
Ensure data quality through risk evaluation and QA practices.
Monitor operational performance and recommend improvements.
Integrate and manage data structures to support growth and scalability.

We are seeking a system integrator!
Job Description:
* Lead and manage production deployment processes.
* Manage and handle department incidents, from initial root-cause analysis to complete resolution and implementation of the solution.
* Lead all integrations across the various banking systems.
* Coordinate between R&D, infrastructure, and business stakeholders.
* Monitor cross-functional processes, identify bottlenecks, and drive operational improvements.

We're looking for a sharp, hands-on Product Analyst to join us at a pivotal stage of growth, where data drives every product and strategic decision we make.

This is a unique opportunity to join a fast-growing B2C market leader and shape how we understand our users, funnels, and business performance.

You'll work closely with the company's leadership and Product team, turning complex questions into clear insights, and insights into meaningful product decisions.

Your main focus will be driving the metrics that matter most to us: improving retention, increasing subscription conversion, and scaling our acquisition engines, while building the analytical foundation that enables Mami to grow with confidence.


What You'll Do
Partner directly with company leadership to drive strategic and product decisions through data.
Turn business questions into clear analyses, actionable recommendations, and product insights.
Bring a strong product mindset to every analysis, focusing on turning insights into clear next steps.
Define, monitor, and own the KPIs that matter most across the user journey.
Work closely with cross-functional teams to improve retention, increase subscription conversion, and scale our acquisition funnels.
Own and develop Mami's analytics infrastructure across BigQuery, Looker, and Data Studio, from raw data to executive-ready dashboards.
Build and integrate AI-powered tools into day-to-day analysis workflows.

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 seeking a talented Data Analyst with strong full-stack development skills, particularly in SQL, Node.js, and React. The ideal candidate will have at least 5 years of experience in data analysis and a solid understanding of web development, enabling them to bridge the gap between data insights and application development.

Were looking for a Support Engineer to join our team and help support our global B2B SaaS customers. This is a hands-on technical support role for someone early in their career who is eager to learn, debug real customer issues, and work closely with Product and Engineering.
Because we support customers across multiple regions and time zones, this role may include shift-based work to ensure strong global coverage.
Youll be a great fit if you enjoy troubleshooting, communicating clearly with customers, and digging into technical issues until you understand what is happening.

Were looking for a Support Engineer to join our team and help support our global B2B SaaS customers. This is a hands-on technical support role for someone early in their career who is eager to learn, debug real customer issues, and work closely with Product and Engineering.
Because we support customers across multiple regions and time zones, this role may include shift-based work to ensure strong global coverage.
Youll be a great fit if you enjoy troubleshooting, communicating clearly with customers, and digging into technical issues until you understand what is happening.

we are looking for an experienced Data Scientist to join us and take a key role in turning large-scale, real-world data into smarter product and business decisions.With millions of users interacting with mobility services, our data reflects complex customer behavior, business models, and real-life mobility patterns.We're looking for someone who can go beyond building models - someone who knows how to identify the right problems, challenge assumptions, uncover opportunities in the data, and translate them into real business impact.
You'll have significant professional ownership, from taking an ambiguous business question and framing it as a statistical or Machine Learning problem, through choosing the right methodology, building and evaluating the solution, and bringing it to production.Just as importantly, we expect you to proactively identify questions that should be answered with data - even when nobody has asked them yet.
Responsibilities:
Own Data Science problems end-to-end - from business question and hypothesis to modeling, evaluation, and production.
Partner closely with Product, Business, Data, and Engineering teams to translate complex business challenges into data-driven solutions.
Proactively identify opportunities where statistical analysis, Machine Learning, and AI can improve our products, customer experience, and business performance.
Build, train, evaluate, and improve Machine Learning models used in production, across both real-time and batch use cases.
Select the right statistical or ML approach based on the problem and the data - including recognizing when a simple analytical solution is better than a complex model.
Define meaningful evaluation methodologies and connect model performance to real business impact.
Communicate complex statistical findings clearly to both technical and non-technical stakeholders.