דרושים » הנדסה » Data Analytics Engineer

Nayax is a global fintech company (NASDAQ; TASE: NYAX) and a leading provider of cashless payment, consumer engagement, and business management solutions for the unattended retail sectors.
We are currently seeking a hands-on Software Architect to join our R&D organization and play a pivotal role in in shaping the future of our company, designing scalable, secure, and high-performance software and data systems that drive Nayaxs innovation.
The Software Solution Architect will design and implement an efficient, scale-able, and highly available database and code applications. The Solution Architect will lead companys most valuable projects while working with other team members in a joint effort. This will involve gathering requirements, analyzing and designing solutions, hands-on development as well as implementing, testing, and supporting the solution once it is live.
Key Responsibilities:
Research, design, advocate and develop new technologies, cloud services, and architectures that will support the continued requirements for the organization, business partners, and vendors.
Collaborate with Development teams, Product, DevOps, IT & Security specialists to ensure solutions provide optimal architecture, scale, high-availability, security, and cost optimization.
Plan and build POCs and solutions to analyze complex technical and customer requirements, and determine appropriate solutions as necessary.
Manage multiple priorities and tasks in a dynamic work environment.

We are looking for an experienced DevOps Engineer, or a Software engineer with substantial experience in Cloud development, to join our growing DevOps group.
Responsibilities
Be part of a global R&D DevOps group responsible for a diverse production environment based on Microsoft Azure, that hosts a data security SaaS platform which protects our customers from cyberattacks and insider threats.
Help maintain our complex Azure based pre-production and production environments to preserve our platform availability and reliability.
Design and development of DevOps tools, CI\CD pipelines and automation processes for configuration, deployment and maintenance of our complex pre-production and production cloud environments.
Collaborate with R&D engineering teams on design and implementation of new features.
Work on DevOps group incidents and internal tickets, including triage, investigation of issues and requests, and analysis on how to reduce their frequency and effort.
Research, examine and implement new cloud technologies and open source tools.

We are looking for an experienced data analyst and Tableau developer to join our team. As a Data Analyst, you will be responsible for designing data and business processes, enhancing our semantic layer, develop interactive Tableau dashboards and contribute to our business's success and growth. You will work with cross-functional teams, IT and business functions, and engineers.
To do well in this role, you need to be business-oriented and technical, with an excellent eye for detail, have experience as a Tableau developer and Business Intelligence expert, with a passion for visual storytelling. you will:
Manage, design, and develop Tableau dashboards, including data sources, security, privacy, and metadata
Own and maintain the Tableau environment including server monitoring, troubleshooting dashboard performance, and upgrades
Utilize best practices in data visualization to create clear, concise, and visually appealing dashboards
Collect business requirements from a variety of stakeholders and design the data model, data transformations, and cleansing
Work closely with data engineers to effectively build our data warehouse
Work closely with business analysts and business operations teams to create a holistic semantic layer for the organization
Stay up to date on the latest Tableau features and functionalities
Train end-users

The Site Reliability Engineering (SRE) team at is responsible for provisioning and maintaining cloud infrastructure from development through production for all product initiatives, and working with developers and product managers to ensure that our products are not only reliable and performant, but also cost-efficient. Our platform is built on Google Kubernetes Engine (GKE) and utilizes several other Google technologies such as Memorystore, Cloud Datastore, PubSub, Cloud Functions, BigQuery, and Vertex AI, as well as services from other vendors such as Amazon SES.

In the development process, SREs provide developers with stable and performant CI and release pipelines and development environments to facilitate frequent delivery of new product features. In production, SREs perform Tier 1 on-call and incident management functions, supporting a high-throughput platform which processes more than 15 billion events per day. To ensure the reliability of this environment for our customers, SREs work closely with developers and product managers to understand service level objectives, think through failures scenarios, and design systems which balance cost with reliability objectives. Additionally, SREs collaborate with the Information Security team to ensure that cloud infrastructure is properly secured, and that sufficient controls are in place to meet our compliance goals with respect to industry standards such as SOC 2.



Role Responsibilities
Write high-quality infrastructure-as-code that automates the provisioning, deployment, scaling, and monitoring of infrastructure to ensure that it is reliable and performant
Write maintainable code for product functionality with a primary emphasis on operations, scale, resiliency, and monitoring
Work with other engineers to ensure that new services are well-designed, properly monitored and have well-defined SLIs and achievable SLOs
Debug production issues, learn to mitigate them quickly, and find ways to prevent them
Maintain runbooks for manual tasks and replace those runbooks with automation whenever possible
Proactively track our capacity, quotas, and other performance limits to plan for growth
Participate in a 24x7 on-call rotation to handle product availability issues as well as urgent customer support escalations

Join the front lines of data-driven decision-making with a leading role!
Are you an analyst with a passion for driving impact across multiple disciplines? If youre curious, autodidact and enjoy solving diverse challenges, we might just have the role for you!
Were looking for an analyst that could support our strategic partnerships group.
This isnt just another number-crunching role; it's an opportunity to impact the operation of thousands of app marketers around the world, ranging from gaming to eCommerce, Entertainment to Finance and more. You will get to work hand in hand with some of the worlds top brands in marketing technology, a global team of partnership managers and internal stakeholders.
The ideal candidate will have strong technical skills, sharp business acumen, a true passion for learning new fields and extracting valuable insights from huge data sets.
What You'll Do:
Work on bespoke data solutions for complex problems, spanning our entire suite of products
Build automated tools and dashboards that help a diverse group of professionals engage their customers and partners with valuable insights
Lead analytical projects end-to-end in partnership with Product, Engineering, and the Analytics guild
Enhance the efficiency of the team's work by building robust data pipelines using custom python functions and DBT over BigQuery & Athena
Communicate data findings to partners, customers, business, product, and engineering teams
Deliver analyses to partners and internal stakeholders.

We are looking for a skilled and motivated Software Engineer to join our backend data infrastructure team. You will be at the core of data ecosystem, building and maintaining high-performance data services and pipelines that support both real-time and batch workloads. Your work will directly impact how data is accessed and leveraged across the company from live production environments to ML training pipelines. You will design and maintain systems that span hybrid infrastructure (on-prem and cloud), and ensure our data platform is fast, reliable, and scalable. We value engineers who are curious, open-minded, and excited to learn new technologies and practices as the landscape evolves.
As a Big Data Engineer, you will:
Design, implement, and maintain backend services for managing and processing large-scale data.
Build and operate production-grade data pipelines and infrastructure.
Develop utilities ,libraries and services to support high-throughput data retrieval and access patterns.
Ensure observability, stability, and performance of data services in hybrid (cloud/on-prem) environments.
Monitor and troubleshoot issues in live systems and continuously improve their robustness.
Work cross-functionally to ensure data is accessible, well-modeled, and easy to consume by other teams.

We are looking for a Technical Solutions Engineer with exceptional interpersonal and communication skills to join our Business Enablement Team. This role is ideal for someone who thrives at the intersection of cutting-edge technology and customer collaboration. You will work closely with clients, researchers, and engineers to deliver innovative solutions using state-of-the-art language models and speech recognition systems.

Your ability to clearly communicate complex technical concepts in English and build strong relationships with stakeholders will be just as important as your technical expertise.

Key Responsibilities:
Act as a technical liaison between customers and internal teams, translating business needs into scalable AI solutions.
Integrate NLP and ASR (Speech-to-Text) models into production systems with a focus on performance and reliability.
Collaborate closely with ML researchers and engineers to design, implement, and optimize AI-driven features.
Provide hands-on technical support and guidance to clients during integration and post-deployment phases.
Communicate complex technical concepts clearly and effectively in both written and spoken English.
Stay up to date with the latest advancements in NLP, ASR, and AI infrastructure to inform solution design and innovation.

We are looking for an experienced data analyst and Tableau developer to join our team. As a Data Analyst, you will be responsible for designing data and business processes, enhancing our semantic layer, develop interactive Tableau dashboards and contribute to our business's success and growth. You will work with cross-functional teams, IT and business functions, and engineers.
To do well in this role, you need to be business-oriented and technical, with an excellent eye for detail, have experience as a Tableau developer and Business Intelligence expert, with a passion for visual storytelling.

We are looking for a Backend Engineer.
As Backend Engineer youll make an impact on:
Leading the architecture, design and implementation of our core product using the latest Big Data and Backend technologies
Developing high-scale applications that analyze massive amounts of data and turning them into valuable insights
Working closely with the other development teams, architecture, product, and delivery managers to create high quality deliverables
Taking an active role in our agile processes, design reviews, brainstorming, and knowledge-sharing sessions.