דרושים » ניהול ביניים » BI / data Science

Were looking for an Analytics & BI Engineer to join our growing data team. This role is perfect for someone who thrives at the intersection of business insight and technical execution. Youll play a key role in uncovering data-driven insights, developing impactful dashboards, contributing to our ETL/ELT processes, and working with Snowflake as our core data warehouse.

Youll collaborate closely with stakeholders across Product, Management, and Data Science to understand business needs and deliver scalable data solutions that drive decision-making.

Responsibilities
Conduct deep-dive analyses to identify trends, anomalies, and actionable business insights
Translate complex business questions into clear analytical approaches and measurable metrics
Design, build, and maintain BI tools, dashboards, and data models using platforms such as Looker, Tableau, or Power BI
Write advanced SQL and Python to query, analyze, and transform large datasets
Partner with stakeholders to define KPIs, track performance, and support strategic initiatives
Work with Snowflake as our primary data warehouse for scalable data management
Contribute to the development and maintenance of ETL/ELT pipelines, ensuring data accuracy, consistency, and availability

At Ilyon, we build mobile games enjoyed by millions of players around the world. Our decisions are driven by data — from feature development and live ops to user acquisition and monetization. We’re looking for a skilled Data Engineer to help us take our analytics and data infrastructure to the next level. As a Data Engineer, you’ll design and maintain the systems that power insights across the company. You’ll work closely with data analysts, UA managers, and product teams to ensure clean, fast, and scalable access to our most important asset: data. Data Pipeline Development
* Design, build, and maintain scalable, robust ETL/ELT pipelines.
* Ingest data from various sources (APIs, databases, flat files, cloud buckets).
* Automate workflows for batch and/or streaming pipelines (e.g., using Airflow, GCP services).
* Design and organize data for analytics teams in cloud warehouses (BigQuery, Snowflake).
* Implement best practices for partitioning, clustering, and materialized views.
* Manage and optimize data infrastructure (cloud resources, storage, compute).
* Ensure scalability, security, and compliance in data platforms. Data Quality & Governance
* Monitor data integrity, consistency, and accuracy.
* Implement validation, monitoring, and alerting for pipeline health and data accuracy.
* Maintain documentation and data catalogs.
* Troubleshoot failures or performance bottlenecks. Collaboration & Enablement
* Work closely with data analysts, managers, and developers.
* Translate business requirements into technical solutions.
* Support self-service analytics and create reusable datasets.

Were seeking a Temporary BI Developer to join our team and drive data-driven insights across the organization. In this role, you will take part in the creation of impactful dashboards and reports, contributing to the BI teams ability to deliver exceptional results. Youll support the end-to-end process of building and maintaining dashboardsfrom design to implementationwhile working with databases and ETL workflows.

As a key collaborator, youll work closely with teams across the company to understand their needs and translate them into data solutions. Additionally, you will take part in managing BI projects using modern methodologies and ensuring our data solutions align with business goals.

If youre passionate about turning data into action and thrive in a collaborative, fast-paced environment, wed love to hear from you!

Are you passionate about turning data into actionable insights and building robust, scalable end-to-end solutions that drive business decisions

We're looking for a Fullstack BI Developer to join our team and help us elevate our data-driven decision-making to the next level!

The ideal candidate will have the ability to gather and understand the business needs, a deep understanding of data models, data visualization principles and the expertise to transform data into actionable insights.


What you'll do:

Design and develop fullstack BI solutionsfrom database to dashboards.

Build and maintain ETL pipelines, data models and dashboards.

Ensure high performance, reliability, and scalability of data systems.

Work closely with cross-functional teams to understand data needs and deliver impactful analytics.

we are looking for a highly skilled Data Engineer to join our growing Data Analytics Department.
As a Data Engineer in a multi cloud company, you will build data-driven solutions for our customers using cutting-edge data tools and large-scale data on AWS\GCP\Azure.
Job Responsibilities:
Lead data solutions design and development for our various clients and projects.
Design the solution by understanding the needs, modeling the data, choosing the right tools and defining the interfaces/dashboards.
Develop Data Pipelines, Data Lakes, DWHs, AI\ML models, Dashboards and reports using advanced tools and leading technologies.

We are looking for an experienced and passionate Data Engineering Team Leader to lead a team of 5 seasoned data engineers. You will play a critical role in designing and delivering scalable, reliable data infrastructure and ETLs, enabling our machine learning, analytics, and product teams to deliver maximum impact.

Lead and grow a high-performing team of experienced data engineers.
Define and implement the teams technical roadmap, ensuring alignment with AI, Data, and Researchs achieving strategic objectives and product roadmap.
Own the development, and operation of robust, scalable, and efficient data pipelines and services.
Oversee the quality, performance, and maintainability of the teams codebase and delivered solutions.
Manage delivery plans, track progress, resolve blockers, and ensure on-time delivery.
Drive best practices in software engineering, data modeling, data quality, code quality, security, observability, and operational excellence.
Translate business and research requirements into scalable technical data solutions.
Foster a culture of ownership, collaboration, continuous learning, drive improvement and innovation within the team.
Actively mentor team members, guide career development, and conduct regular performance reviews.

We are seeking a Senior Data Scientist to be one of the first data science hires for our newly formed ML team. This is a unique ground-floor opportunity to build our data science capabilities from scratch and have direct influence on our analytical and modeling approaches. This role combines advanced data science expertise with foundational contributions, requiring someone who can develop sophisticated models, conduct deep analytical research, and help establish the data science methodologies that will guide the team as we scale. As one of our founding data scientists, you'll work closely with our Tech Lead to shape our modeling approaches, define our analytical standards, and build the fundamental data science skill set for future hires.
What You'll Do:
Build foundational data science capabilities: As one of our first data science hires, work with the Tech Lead to develop core modeling methodologies, analytical frameworks, and research practices
End-to-end model development: Take ownership of complete ML model lifecycle - from initial research and experimentation through production deployment and monitoring
Build impactful models: Design, develop, and deploy machine learning models that solve complex business problems across payments, risk, and customer analytics
Define analytical standards: Help establish best practices for data exploration, feature engineering, model validation, and statistical analysis
Conduct deep research: Lead exploratory data analysis and research initiatives to uncover insights and identify ML opportunities across the business
Partner with stakeholders: Work closely with business teams to understand requirements, translate problems into data science solutions, and communicate findings effectively
Establish model development practices: Help set up our approach to model experimentation, A/B testing, and performance monitoring
Shape data science culture: Contribute to establishing the team's analytical rigor, documentation standards, and knowledge-sharing practices
Drive innovation: Research and evaluate new ML techniques, algorithms, and approaches that could benefit our business use cases.

As a Senior Data Engineer within our development team, you will play an important role in design, implementation, and ongoing performance optimization of anything data oriented in the R&D department, including ETL/ELT processes, working closely with architects and development teams.

Your duties and responsibilities include:
Lead the design and implementation of scalable data architecture solutions.
Develop, construct, test, and maintain data architectures (e.g., databases, large-scale processing systems).
Identify ways to improve data reliability, efficiency, and quality.
Collaborate with data scientists, data analysts, and other stakeholders to achieve optimal data performance.
Optimize complex SQL queries and perform performance tuning.
Participate in Scrum and Agile development processes.
Implement and manage relational and non-relational databases.

Data has never been more valuable and vulnerable. As cybercriminals become more sophisticated and regulations more strict, organizations struggle to answer one key question: Is my data safe?
At our company, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. Weve built the industrys first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort.
At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Key Responsibilities:
Design and implement scalable data processing pipelines using Azure Databricks and other modern data platforms to power real-time analytics and insights.
Push boundaries by pioneering new technologies and stretching existing ones to their limitsbe a trailblazer in data innovation.
Design, build, and maintain scalable data processing and analytics infrastructure and pipelines, optimizing for performance and cost efficiency.
Collaborate cross-functionally with software engineering, product, and research teams to understand data needs and ensure data solutions meet business requirements.
Engage with strategic customers, ensuring our data solutions meet high standards and deliver measurable value in real-world environments.

Now, were evolving our mission: applying our engineering excellence to the world of data engineering, metadata systems, and agentic AI.
This is a brand-new challenge, and were looking for an exceptional Data Engineer to join us.

If youre ready to pioneer the future of data engineering with AI, wed love to have you on board the rocketship.

What youll do:
Architect metadata-aware data platforms that support scalable and observable pipelines.
Create and evolve knowledge graphs, schemas, and lineage tracking systems.
Drive the teams expertise in data modeling, schema evolution, and privacy-first engineering.
Work with high-scale data ETLs and Data Serving layers on AWS and GCP.
Build and maintain data foundations for agentic AI systems.
Design and build advanced solutions to analyze metadata, identify data quality issues, and provide remediation insights.
Collaborate with internal teams across platform, product, and data domains.