We are looking for a talented and experienced BI Engineer to join our dynamic team. As a BI Engineer, you will take a major part in defining and building the core business models, playing a key role in transforming raw data into valuable insights, and enabling informed business decisions.
WHY YOU SHOULD JOIN OUR TEAM:
Our team's mission is to be the source of actionable strategic intelligence for us. The team partners with business leaders and users to add value through data, make data-informed decisions, discover insights, and share knowledge. Our company and product are focused on serving you. Being on the data team means you get early access to cutting-edge technology & are a north star for the data teams.
Responsibilities:
Data Modeling:
Develop and maintain scalable and efficient data models using dbt (data build tool) and other ETL tools.
Design and implement logical and physical data models that align with business requirements and industry best practices.
SQL Expertise:
Write and optimize complex SQL queries to extract, transform, and load (ETL) data.
To support business objectives, perform data analysis to identify trends, patterns, and anomalies.
dbt and Snowflake Implementation:
Utilize dbt to build, test, and deploy data transformations in a version-controlled environment.
Work extensively with Snowflake, leveraging its features for efficient data storage, processing, and querying.
Data Governance:
Establish and enforce data governance policies, ensuring data accuracy, consistency, and security.
Document data models, transformations, and processes for knowledge sharing and team collaboration.
Collaboration:
Work closely with business stakeholders to understand their data needs and provide actionable insights.
Collaborate with data engineers, analysts, and other team members to ensure seamless integration of data solutions.

We are looking for a Data Engineer.
Main responsibilities:
Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Monitor and optimize our (teams) cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.

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.

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 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.

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.

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.

Required Data Infrastructure Engineer
Job Description:
Design, build, and maintain scalable data solutions and infrastructure to support data processing, data quality and data tools for different data professionals and consumers in the organization
Develop and maintain generic processes to ingest data automatically from various sources into our data lake/data warehouse
Lead end to end projects in the data infrastructure group, working closely with users and leaders from the Data Engineering Guild
Collaborate with cross-functional infrastructure teams to integrate data engineering solutions into our products and services to create high-quality deliverables
Stay up-to-date with the latest trends and technologies in data engineering and recommend best practices to improve our data infrastructure.

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 are a global leader of iLottery solutions and services to national and state-regulated lotteries.

We are part of the Group, an iGaming powerhouse with 1100 employees spread across 8 countries.

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 groups 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.
What You'll Do
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 (dailys, sprint planning, retrospective).
Work with Marketing to provide Data & BI platform awareness and guides - both internally and externally.