לוח משרות דרושים מתכנת Oracle / PL/SQL

we are looking for a Support Analyst.
What youll do
Reporting to the Manager, Financial Operations in the US, this person will be among the first hires in Israel focused on Financial Operations, as part of a larger global Financial Operations (FinOps) team. The team aims to deliver operational excellence of our customer transaction lifecycle and manage our liquidity to support the companys business growth across the globe. As a FinOps Analyst, youll work closely with counterparts within Operations but also with Commercial and Product teams to identify and remediate FinOps-related issues. This person will need to work a 9-6PM shift.
This role is based in Tel Aviv.
Responsibilities:
Utilise advanced Zendesk skills to manage FinOps-related customer requests (e.g., payment investigations, returns, recalls, and reconciliation inquiries); proficient in Triggers, Tagging, Routing Queues, and Macros to streamline queue management, ensure SLA adherence, and improve operational efficiency across global FinOps workflows
Monitor global end-to-end client transaction lifecycle, handle inquiries, detect exceptions from data reports and dashboards in a timely manner, communicate with teams and other departments to handle issues
Support with daily safeguarding obligations, across multipleentities
Monitor the clearing and settlement of client funds and global money pools; drive data oriented approaches to improve our liquidity management system, fund risk management and treasury efficiency and utilisation
Maintain the team knowledge base and refine the standard operating procedures; find opportunity for operational optimisation and process automation tooling.
Build data-oriented performance metrics, quality assurance framework and tooling to monitor, detect, and remediate operational risk areas and control defects to minimise errors
Set up compliant, accurate and timely reporting data capabilities based on external regulatory and third party requirements

Were looking for a Data Engineer to build and scale the data infrastructure behind our Sales Streaming platform. This role is about owning pipelines that process massive volumes of data and power real-time, AI-driven features used by millions of sales professionals.
Youll work end to end - from data lakes to real-time streaming - collaborating closely with Data Science, ML, and Product teams to turn complex data into high-impact product capabilities.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy building data systems that run at scale and serve real users
You like owning your work end to end, from design to production
Youre a problem solver who enjoys turning messy data into reliable systems
You value autonomy, impact, and fast decision-making
Youre comfortable working in dynamic, AI-forward environments

we are looking for a Data Infra Tech Lead.
The Data Group builds and maintains the core data assets that power our products, from our Company and Contact databases to our Connect and Recommendation systems. The Data Tech Lead sits at the forefront of that mission, leading engineering innovation that directly shapes the experience of our growing user base and drives the evolution of intelligent data services.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
Your impact and responsibilities:
Leading the design and development of scalable, high-performance data workflows, including both batch pipelines and real-time data products.
Defining, implementing, and enforcing engineering best practices related to code quality, testing, CI/CD pipelines, observability, and documentation.
Mentoring, supporting, and growing a team of data engineers, fostering a collaborative and high-performance engineering culture.
Identifying opportunities to create new data assets and features that expand product capabilities and value proposition.
Driving architectural decision-making in areas of data modeling, storage solutions, and compute resources within cloud environments such as Databricks and Snowflake.
Collaborating closely with cross-functional stakeholders- including Product, DevOps, and R&D - to ensure effective delivery and platform stability.
Promoting and championing a data-driven mindset across the organization, balancing technical rigor with business context and strategic goals.

Were looking for a Senior BI Data Engineer to join our BI team and take end-to-end ownership of high-impact analytics foundations. This role sits at the core of how measures success, makes decisions, and scales - turning raw data into trusted, business-critical insights used across Product, GTM, and Finance.
Youll design and evolve data models, pipelines, and the BI layer, work closely with Data Science and business stakeholders, and help raise the bar for analytics engineering across the company.
Hands-on experience using GenAI to improve analytics engineering workflows, automate development processes, and increase delivery speed is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy owning data foundations end to end - from raw data to semantic layers
You like turning ambiguous business questions into clear, governed metrics
You care about data quality, performance, and trust at scale
You enjoy mentoring, setting standards, and leading by example
You actively leverage AI tools to improve development speed and analytical accuracy

Were looking for a Senior Data Analyst to join our Data Group and play a central role in how data drives our product. This role sits at the intersection of data, product, and business, turning complex datasets into insights that shape decisions and impact hundreds of thousands of usrs.
Youll own analytics end to end for a core dataset, work closely with Product, R&D, and Data Engineering, and help define how data quality, enrichment, and performance are measured and improved.
Hands-on experience using GenAI to accelerate analysis, automate workflows, improve data exploration, and enhance insight generation is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy owning data domains end to end and being the go-to expert for your dataset
You like working on complex, high-impact data problems that affect product and users
Youre comfortable partnering closely with Product, R&D, and Data Engineering
You enjoy turning deep analysis into clear, actionable insights
You actively leverage AI tools to improve analytical speed, quality, and decision-making
You care about ownership, outcomes, and real impact

We are looking for an OCC Monitoring Specialist to join our fast-growing OCC Monitoring team. Reporting to our OCC Monitoring Team Leader, you will be responsible for monitoring the infrastructure, applications, and business aspects of the company. We provide the opportunity to become acquainted with the inner workings of the exciting world of Fintech and online payments. Many of our OCC Monitoring Specialists have been promoted internally and integrated into development, DevOps, and product teams.
This position doesn't include a hybrid mode; it only involves working from the office.
We work in 24/7 shifts: 08:00 to 17:00, 17:00 to 00:00, 00:00 to 08:00, including weekends and holidays.
Responsibilities:
Responding to events and various technical problems in real-time
Monitoring and liaising activities of the production environment, maintaining the company's monitoring systems, network, business transactions reports, and data analysis regularly
Tracking the events until problems are resolved, contacting the relevant parties in the organisation as needed
Data analysis and fault investigations

we are looking for a we are looking for a.
he Data Engineering (DE) team is a Team that plays a significant role in the ongoing cloud technologies. The ideal candidate is a data engineer with a strong technical background in data infrastructure, data architecture design and robust data pipes building. The candidate must also have collaborative abilities to interact effectively with Product managers, Data scientists, Onboarding engineers, and Support staff.
Responsibilities:
Deploy and maintain critical data pipelines in production.
Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
Design infrastructural data services, and to build scalable data solutions.
Work in Agile process with Product Managers and other tech teams.
End-to-end responsibility for the development of data crunching and manipulation processes within the product.
Design and implement data pipelines and data marts.
Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the product.
Explore and implement new data technologies to support data infrastructure.

Our Professional Services is seeking for an Oracle DBA to join a leading technology-oriented organization.
The role combines both Application DBA and Infrastructure DBA responsibilities.
Additional Information:
* Full-time onsite position in Holon.
* The role requires eligibility for security clearance.

As a Data Analyst, you'll be instrumental in constructing and managing the AI rules engine, alongside pinpointing network patterns to deliver value across various domains for our clients. This role requires proficiency in deriving insights from data and conducting thorough analyses. Additionally, it offers significant autonomy for innovation and creativity, qualities we encourage in all team members. Strong teamwork and interpersonal skills are also crucial for success in this position.
Together, we can shape the future of network security.
Responsibilities:
Take a significant part in data analysis, contributing to our ever-evolving automation engine.
Research various network behaviors and patterns.
Preform data research to classify network entities based on behaviors and patterns.
Write and implement creative scripts to achieve data science-oriented goals.
Characterize and define new product features.
Work closely with Data Engineering teams to ensure the optimal solution is built in terms of logic and infrastructure.

As a Data Analyst, you'll be instrumental in constructing and managing the AI rules engine, alongside pinpointing network patterns to deliver value across various domains for our clients.
This role requires proficiency in deriving insights from data and conducting thorough analyses. Additionally, it offers significant autonomy for innovation and creativity, qualities we encourage in all team members. Strong teamwork and interpersonal skills are also crucial for success in this position.
Together, we can shape the future of network security.

Responsibilities:
Take a significant part in data analysis, contributing to our ever-evolving automation engine.
Research various network behaviors and patterns.
Preform data research to classify network entities based on behaviors and patterns.
Write and implement creative scripts to achieve data science-oriented goals.
Characterize and define new product features.
Work closely with Data Engineering teams to ensure the optimal solution is built in terms of logic and infrastructure.

We are seeking a dynamic and experienced Security Data Analyst to spearhead our cybersecurity initiatives and drive innovation within our team. In this pivotal role, you will lead the development of new security features, conduct in-depth data analysis and validation, conduct network research, develop new security concepts, and enhance our threat detection and response capabilities.
If you thrive in a fast-paced environment and are excited about pushing the boundaries of cybersecurity, we want to hear from you
Responsibilities:
Apply data analytics techniques to investigate security-related data, extract actionable insights, and enhance threat intelligence.
Perform data analysis to uncover anomalies and detect malicious behavior within the organization's network, aiming to automate these findings into a detection system.
Leverage current cybersecurity knowledge to interpret and contextualize findings, enabling informed decision-making and proactive measures to strengthen overall cybersecurity defenses.
Provide on-the-fly support during customer incident response events and penetration testing exercises by leveraging expertise to promptly detect and block security threats.
Research various network behaviors and patterns.

We invite you to #UnleashyourCuriosity and join our ever-growing R&D organization.
As part of our Customers Company Data Engineering team, you will not only build scalable data features and pipelines but also directly enable portfolio growth by supporting new business capabilities in the Credit Card and Servicing business units.
Responsibilities:
Design and build data solutions that support Credit Card and Servicing business goals.
Develop advanced data pipelines to support the infrastructure, architecture and the product growth initiatives.
Create ETL/ELT processes and SQL queries to bring data to the data warehouse and other data sources.
Own and evolve data lake pipelines, maintenance, schema management, and improvements.
Collaborate with stakeholders across Product, Backend Engineering, and Data Science to align technical work with business outcomes.
Implement new tools and modern development approaches that improve both scalability and business agility.
Ensure adherence to coding best practices and development of reusable code.
Constantly monitor the data platform and make recommendations to enhance architecture, performance, and cost efficiency.