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.

We are a development team (R&D) building a client-server system on Microsoft Azure, operating over an advanced cloud-based data infrastructure. We are currently transitioning from a legacy SQL Server and Analysis Services stack to modern platforms including Snowflake and Azure Data Explorer (ADX).
As part of this transformation, were looking for a sharp and driven Data Analyst to help us extract insights, shape our data for Machine Learning and AI, and directly influence business decisions.
What will you do?
Analyze complex datasets from diverse sources (Snowflake, ADX, logs, APIs, etc.).
Identify actionable insights and communicate findings clearly to business and product stakeholders.
Build dashboards and monitoring tools using Power BI / Tableau / Looker (or similar).
Collaborate with development, product, and data engineering teams.
Prepare and process data for ML/AI purposes (feature engineering, labeling, etc.).
Lead ad-hoc analyses and data-driven PoCs to support decision-making.

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.

We are looking for a highly motivated candidate to join our Data Science team If you are passionate about NLP \LLMs and have 4+ years in the field, this is for you!

What Youll Do:
Research, experiment, develop and productize advanced NLP, LLM and autonomous agent solutions in various domains such as classification, summarization, translation, information retrieval and AI assistant.
Use advanced deep learning and large language models, to enhance Shields ability to find the needle in a haystack in the world of structured & unstructured data of financial electronic communication.
Conduct rigorous experimentation, analysis, and optimization to ensure performance, efficiency, and scalability.
Develop processes, tools and frameworks to monitor and analyze model performance and data accuracy.
Innovate, develop, and test state-of-the-art approaches to solve our challenging problems: domain adaptation, fine-tuning, prompt engineering, zero- and few-shot learning, autonomous agents, using open and close large language models.
Assist and mentor other team members in the implementation and research.
Collaborate closely with domain experts, product and engineering teams to translate research breakthroughs into scalable commercial products.
Identify the latest technology to improve our AI capabilities in a variety of languages and help shaping our AI roadmap.

As a Senior Big Data Engineer on our BI team, youll build and scale the data infrastructure that powers our business insights. Youll design and implement robust data pipelines to process billions of daily records, leveraging cutting-edge cloud technologies and visualization platforms to transform data into actionable intelligence.

If youre passionate about data engineering and driving business growth through insights, wed love to hear from you!

Responsibilities:
Design, Build, and operate scalable infrastructure for optimal data extraction, transformation, and loading from a wide variety of data sources, utilizing SQL, cloud migration tools, and Big Data technologies.
Work with a variety of programming languages, systems, frameworks, and cloud technologies, including Python, DBT, Airflow, AWS, Linux, Spark, and more.
Collaborate with customers and internal stakeholders to resolve data-related technical issues and support their data infrastructure and business needs.
Implement data validation, monitoring, and governance practices to ensure data accuracy, consistency, and security.

In this position you will

We are looking for a talented data Scientist to join our growing AI data Analytics team. You'll work alongside our technical leadership to build data -driven solutions that power intelligent decision-making across our insurance platform.

In this role, you'll focus on extracting insights from complex datasets, building predictive models, and developing analytical solutions that directly impact our customers' success. You'll work within our sophisticated, multi-tenant SaaS platform, contributing to both traditional Machine Learning applications and cutting-edge GenAI solutions.

This is a hands-on role perfect for a data Scientist who enjoys solving complex business problems through advanced analytics, statistical modeling, and Machine Learning techniques