As a Data Engineer, you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization.
This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.
Responsibilities:
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.

We are looking for a brilliant, quick-learner Data Engineer for our data engineering team - an independent logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with business orientation, working closely with the analysts and the R&D team, and affecting the company's cross-departments decisions directly. Our Data Engineer should have the ability to speak in technical and practical terms, and more importantly, lead from one to the other, while dealing with challenges and creating them - to make our team even better than it is.
Roles and Responsibilities:
Creating and structuring end-to-end data pipelines & ETLs: from the source all the way to the analysts hands, enabling them the ideal conditions to make smart and data driven business decisions.
Cracking top industry data challenges while initiating and building creative technical solutions - in house Device Graph, Server-to-Server to multiple systems, Privacy challenges, Online-to-Offline and more.
Deep understanding of the business needs, technical requirements and the companys roadmap - and translating it into custom made data solutions and scalable products.
Craft code following best practices to ensure efficiency, while integrating CI/CD principles.
Writing multi-step scalable processes from more than 50 data sources - Marketing. Operations, CS, Product, CRM and more... tying them up to a valuable & useful source of insights for the analysts.
Understanding data challenges and weaknesses, and managing high standards monitoring and reliability processes.

As the Vice President of Data , you will hold a critical leadership position responsible for driving strategic decisions through advanced quantitative analysis and data Science. Your expertise will be instrumental in cross-departmental collaboration with product marketing, customer service, and operations teams to ensure alignment and synergy across all areas of the business.

Responsibilities:

Lead and mentor multiple teams of Analysts, Data Scientists and Data Engineers.
Initiate & manage cutting-edge projects from ideation to delivery, including developing automated solutions.
Evaluate and improve the companys KPIs through data.
Collaborate closely with Stakeholders from Product, Marketing, Operations, Customer support and Finance and initiate data driven decisions and solutions.
Lead the analysis of complex datasets to extract valuable insights, trends, patterns, and anomalies that drive strategic decisions.
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth.

We are NeoGames (Nasdaq: NGMS), a global leader of iLottery solutions and services to national and state-regulated lotteries. We are part of the NeoGames Group, an iGaming powerhouse with 1100 employees spread across 8 countries. At NeoGames, we pride ourselves on our “People first” culture. Not only has it been a core value in our organization for as long as we can remember but it also runs in our DNA and is felt in every aspect of our operations. The Core Product department owns the group’s product strategy and is looking for a Data Product Manager to be part of data product team and coordinate the development of the data products spanning the central data lake, modern reporting & analytical tools, and automation. The chosen candidate needs to be passionate about designing robust data-driven products to deliver insightful analytics and digitalization for efficient processes across the group and its customers.

Responsibilities:

* Be a Data expert and have a deep understanding of how the data works; data producers, ELT/ETL process, data consumers, data quality, data architecture, analytics, machine learning, and cloud services.
* Leading the entire Data product lifecycle: product roadmap, maintain frequent communication with different clients to understand business needs and translate these to PRDs, Features and User Stories, Interface with data engineers and QA, finalize the delivery and launch of innovative products.
* Work closely with the rest of the product organizations on new initiatives to facilitate the requirement gathering process early on.
* Contribute to the overall data architecture, including the investigation of data assets, technical platforms, integrations, and processes across functions, documenting the knowledge gathered.
* Be a hands-on product manager involved deeply in the day to day of the data engineering team.
* Oversee implementation and release workflow and deadlines.
* Responsible for the Agile framework (daily’s, sprint planning, retrospective).
* Work with Marketing to provide Data & BI platform awareness and guides - both internally and externally.

We are looking for a Mid-Level Data Analyst.
As a Data Analyst Real Estate, you will harness the power of data to drive strategic decision-making and help redefine the landscape of real estate technology. You will collaborate with cross-functional teams to develop insights that influence our product offerings and operational efficiencies.
:Responsibilities
Data Validation: Oversee the validation of both incoming data and output generated by the team to ensure accuracy and reliability in all data sets and analytics outputs and maintain high standards for data quality and integrity.
Internal Data Flow Optimization: Partner with your data team to enhance the internal flow of data. Focus on streamlining processes to ensure efficient data access and utilization across the company.
Collaborate with Cross-Functional Teams: Work with multiple teams and provide them with the needed data to drive decision-making processes.

We are seeking a Data Engineer & Analyst specializing in Financial Systems and Data.
The role includes analysing system, financial, and structural data, designing specifications for automated tools, and executing their implementation.
We are looking for professionals with corporate finance expertise, an entrepreneurial mindset, and innovative thinking to enhance decision-making processes.
Responsibilities:
Perform primary and backup financial and structural data analysis, responding to client inquiries on regulation, automation, and data processing
Support the development of advanced analytical techniques, including constructing and testing statistical models for analyzing data trends, banking structure changes' effects, and enhancing structural data quality
Aid in developing business rules and report/application formats for programmers
Oversee new series and report changes, contribute to technical development, and prepare system software change requirements
Make data quality and edit resolution decisions, prepare statistical reports, and provide guidance on automation and data analysis
Provide guidance on series processing and structural data issues, including automation, editing procedures, and data analysis, ensuring unit meets all administrative and internal processing deadlines
Assist in documentation preparation and testing per System Development Methodology (SDM) requirements. Provide technical and data content support to users of system software and data.

We are looking for a creative, agile and impact-oriented individual to join our Solutions team! This is a rare opportunity to be on the front line of the Generative AI revolution, as it transitions from research to massive adoption.

As a Solution Architect you will discover and implement solutions to client needs using our developer platform, Studio. This is a hands-on role requiring a strong technical background and excellent interpersonal skills. You will use your technical skills to become an expert on Large Language Models (LLMs) and develop best practices for applying them to real-world problems. Most of your time will be spent working on strategic accounts, collaborating closely with the clients technical and product functions as a trusted advisor. You will be in a unique position to drive business outcomes and impact product development roadmap with insights and ideas you bring back from the field.

ROLE AND RESPONSIBILITIES
Gain an in-depth understanding of client goals and constraints and translate them into technical specifications.
Design effective solutions that meet the customer needs utilizing rich toolkit of models and APIs.
Lead the development of POCs for strategic accounts, working hands-on and orchestrating R&D efforts in other teams as needed.
Collaborate with account executives to drive successful sales processes, working together on accounts as an organic team.
Serve as the technical point of contact for account managers, providing technical expertise to support and expand relationships with existing clients.
Collect data, feedback and insights from your experience with clients to drive continuous improvement of our language models.
Identify challenges and opportunities and communicate them to product functions to guide roadmap decisions.
Develop and maintain a library of demos that showcase capabilities.

We are seeking a Sr. Data Engineer - Analytics.
We develop a platform that collects data from dozens of sources and uses AI and data science to extract insights for making fast and optimal business decisions.
We have assembled an excellent team of leading data engineers, software developers, designers, product managers, and data scientists working towards this goal.
Our recently refurbished offices are in Tel-Aviv and we employ a hybrid work from home model.
On a typical day, you will:
Use Python and SQL to develop, scale, and optimize advanced data pipelines.
Merge multiple data sources into a clean, unified, and integrated single source of truth.
Ensure data integrity, freshness, and best practices in our growing data lake.
Manage and optimize data infrastructure, ensuring high performance, security, and reliability.
Collaborate with stakeholders across the company and support business insight requests.

We're looking for a Senior Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Senior Backend Engineer, you will be responsible for developing our data ingestion pipeline, introducing new analysis engines, and building complex backend designs that are both scalable and fault-tolerant.



What Youll Do:

Design, develop, test, deploy, maintain and improve the software.
Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll have end-to-end responsibility from the technical design phase up to making sure the system is scalable and can meet high customer demands in production.
Youll identify and solve for bottlenecks within our software stack.
Youll bring innovation to the product
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

We are looking for a Team Lead, Product who comes from a highly technical background, has excellent verbal and communication skills, and is able to autonomously prioritize and make decisions that have implications on DV products.

In this position, you will lead the future development of DVs Performance Measurement technologies, collaborating with engineering, analytics, data scientists, architects, and other product managers to align on product requirements and successfully develop and launch new features.

Job Responsibilities:
Manage development from concept ideation to product release: perform research, develop requirements, and ensure delivery while working on critical efforts at a fast pace.
Identify areas where we can intelligently combine big data and machine learning within the Performance Measurement product.
Understand and analyze data pipelines, calculations, algorithms, and technical systems.
Collaborate internally with other product & engineering teams to break down complex systems and processes so they can be easily understood.
Assess and address technical risks alongside engineering to ensure the long-term success of the product and the teams ability to deliver results.
Define product and testing acceptance criteria.
Lead and mentored other product managers to successfully execute product initiatives.