Jobs Data & Analytics

About Traffic Label

Traffic Label is a fast-growing, data-driven technology company operating in the iGaming and affiliate marketing space, building scalable products focused on performance, analytics, and automation across global markets.

Role Overview

We are looking for a Data Engineer (integration) to join our Data Platform team to help build, maintain, and scale integrations between external platforms and internal systems. Reporting directly to the Data Engineering Lead, you will focus on reliable backend services, AWS server-less infrastructure, and external API integrations that support critical business operations.
This role is fully remote across Europe and sits within the Development Department - in the Data Platform team/squad.
We are open to Seniority level here from Mid level and above.

Key Responsibilities

• Design, develop, and maintain integrations between third-party platforms and internal systems.
• Build scalable backend services and API-based integration solutions using Python.
• Manage integrations across AWS server-less infrastructure including Lambda, S3, DynamoDB, EventBridge, and related services.
• Implement and maintain authentication flows, token refresh handling, retries, pagination, polling, and async job processing.
• Monitor, troubleshoot, and resolve integration issues in production environments.
• Own integrations end-to-end, including implementation, deployment, operations, and incident handling.
• Write and maintain automated tests to ensure reliability and stability of integration services.
• Collaborate closely with Engineering, Product, and Data teams to support platform scalability and operational efficiency.
• Contribute to infrastructure improvements and Infrastructure-as-Code initiatives.

Skills & Experience

• 4+ years of backend or integration engineering experience in production environments.
• Strong Python development skills with experience building and maintaining external API integrations.
• Hands-on AWS experience including Lambda, S3, DynamoDB, EventBridge, Secrets Manager, SSM Parameter Store, and CloudWatch.
• Experience with Infrastructure-as-Code for provisioning and maintaining cloud infrastructure.
• Strong understanding of REST APIs and integration patterns.
• Experience handling authentication flows, retries, pagination, polling, and asynchronous processing.
• Strong debugging and troubleshooting skills, particularly with third-party integrations.
• Experience writing and maintaining automated tests for backend or integration services.
• Ability to work independently and take ownership of technical deliverables.
• At least 6 months of hands-on experience using AI coding agents in day-to-day development workflows.
• Experience with Airflow or similar workflow orchestration tools is considered a plus.
• Experience working with ESP or CRM platforms is considered an advantage.
• Familiarity with affiliate marketing or iGaming environments is a plus.
• Understanding of marketing data structures and identifiers is considered beneficial.

What We Offer

• Competitive salary.
• Fully remote work across Europe.
• Flexible collaboration hours and strong work-life balance.
• The opportunity to work on scalable, business-critical systems and integrations.
• A collaborative culture focused on ownership, innovation, and continuous improvement.

🎯 Role Overview

This is a senior business-facing role for someone who can look beyond dashboards and understand what the numbers mean for strategy, risk, and growth.

We are an iGaming B2B platform operating on a revshare model. Our revenue is directly tied to the success of our clients. That’s why for us, Analytics isn’t just a support function for reporting—it’s a core business driver.

We are looking for a leader who does more than just build dashboards. We need someone to build expertise: a person who uncovers answers to questions the business hasn’t even thought to ask yet and converts data into bottom-line growth.
 

⚙️ Your Tasks:

• Lead analytics across all core business streams;
• Turn data into decisions for product, payments, monetization, and operational performance;
• Identify where the business is losing revenue, where it is growing, and what actions are needed;
• Define executive reporting standards for the CEO and leadership team;
• Build a strong analytics team and scalable reporting environment;
• Partner with senior stakeholders across Product, Payments, Marketing, Finance, and Tech.
   

👤Our criteria:

• Proven leadership experience in iGaming analytics;
• Strong expertise in business and product analytics;
• Deep understanding of GGR / NGR / ARPU, conversion, retention, LTV, and payment metrics;
• Аdvanced technical toolkit: Expert-level SQL and Python skills to work within our ecosystem of ClickHouse, Kafka, PowerBI, QuickSight, PostHog;
• AI Proficiency — we expect you to actively use AI tools (to speed up research, automate routine tasks, and enhance analytical workflows;
• Ability to influence business decisions and communicate with C-level stakeholders;
• Strong prioritization skills and understanding of what requires executive attention.
   

💼 Our Offer:

• Flexible work setup — work remotely or from the office, we focus on results, not location;
• Support for a comfortable work environment — we compensate coworking expenses and EcoFlow power stations to help our team stay productive during power outages in Ukraine;
• Unlimited vacation and sick leave, because we trust our people to manage their time responsibly;
• Relocation support for team members who want to move;
• Regular performance-based bonuses that reward individual and team impact;
• Learning support — we cover 50% of professional courses and development programs;
• Language & wellbeing support — we cover 50% of English classes and psychological consultations;
• Career growth opportunities — we prioritize internal promotions and development;
• Team culture that actually feels like one — regular gifts, company merch, and team events throughout the year;
• Real impact — we are small enough for every voice to be heard and big enough to turn great ideas into action quickly.

About the Role & Project

We’re looking for a Senior/ Lead AI Engineer to help build practical AI solutions for real-world business needs.

In this role, you’ll work hands-on with LLMs and GenAI, collaborating with engineers, solution designers, and product teams. You’ll be involved in designing, prototyping, and deploying AI features, with room to grow into more advanced or client-facing responsibilities over time.

Location: Remote / Hybrid (Ukraine / EU), with occasional travel if needed

What You’ll Do

AI Development & Implementation

• Build and integrate AI / GenAI solutions into products
• Work with LLM APIs (OpenAI, Azure OpenAI, etc.)
• Develop and improve RAG pipelines and AI-powered features
• Create PoCs and MVPs to validate ideas

Systems & Integration

• Integrate APIs and third-party services
• Work with databases, including vector databases
• Troubleshoot and optimize existing solutions

Team Collaboration

• Work closely with engineers and solution designers
• Contribute to architecture discussions
• Participate in code reviews

AI-Enhanced Development

• Use tools like Copilot, Cursor, etc. to speed up development
• Apply prompt engineering techniques
• Validate and refine AI-generated outputs

What We Expect

Experience

• 5+ years in software development (Python or similar)
• 1+ year of hands-on experience with AI / LLMs
• Experience building and integrating APIs
• Experience working on real-world projects

Technical Skills

• Python (APIs, async, production-level code)
• LLM basics (prompting, APIs, understanding of RAG)
• REST APIs (GraphQL is a plus)
• SQL + basic knowledge of vector databases
• AWS or Azure (basic level)
• Docker (Kubernetes is a plus)

Nice to Have

• Experience with RAG or AI agents
• AI-related pet projects or open-source contributions
• Some exposure to client communication or presales

Soft Skills

• Clear communication of technical ideas
• Proactive and self-driven mindset
• Comfortable working with some ambiguity
• Willingness to learn and grow in AI

Languages

• English: Upper-Intermediate (B2+)
• Ukrainian: required

What We Offer

• Flexible working schedule
• Remote-friendly setup
• Stable employment
• Paid vacation and sick leave
• Growth opportunities within the project

Project Description:

Client's application support is responsible for the production systems, including Trading, Post-Trade, and PnL software, environment management, and software deployment. Will work closely with developers, business analysts and infrastructure team members as well as with portfolio managers and traders.
The candidate will participate in the release process, ensuring quality software is delivered in a timely manner.

Responsibilities:

Principal Responsibilities

• Solve technical trading-related issues, independently where possible or leveraging teammates as necessary. Escalate to application and/or infrastructure subject matter experts (internally or at vendors) when appropriate. Manage communications to the trading staff and internal stakeholders regarding issue/resolution.
• Build working relationships with trading groups in both US and UK.
• Trading Infrastructure/Platform Status Communications - responsible for disseminating messages to the appropriate trading staff regarding trading infrastructure/platform issues, exchange updates, etc.
• Assist with automating processes to achieve efficiency and streamlined trade support.
• Document and create new knowledge base to provide the most effective solutions to trading issues.
• Deployment of, support of, and monitoring of the firm's internal trading systems.
• Coordinate with vendors, internal application owners, infrastructure owners, and tech support to ensure trading platforms are correctly installed, configured, and tested.
• Liaise with development and infrastructure teams, prioritize tool enhancements, and coordinate and participate in software/new version releases.

Mandatory Skills Description:

• Must understand the financial markets with strong equities background.
• Understanding of the trade lifecycle, back-office, and settlement processes
• Hands-on technical experience in an application support
• Has 3 years experience in a support role within
• Strong communication skills and the ability to work in a demanding environment.
• Well organized, detail-oriented, and able to focus and prioritize multiple tasks in a dynamic environment
• Aptitude to learn
• Understanding of ITIL methodology
• English - Advanced
• Working hours - EST time zone shift (9 AM - 5 PM ET/EST)

• Proficient writing SQL\PLSQL
• Hands-on experience with Unix/Linux like platform
• Good experience with Unix/Linux command line
• Understanding of XML/FpML etc data formats
• Know how to work with source-code (ability to read and understand logic)
. Experience in BUILDING CHECKS (and monitoring) IN GENEOS. This would also entail some decent scripting skills preferably using python or perl for building geneos checks.

Nice-to-Have Skills Description:

• Scripting - Python\JS\ etc
• Knowledge of databases and associated structures
• Experience with the use of MS Office applications: Word, Excel, Outlook, PowerPoint, and Visio
• Knowledge of Fix Messaging protocol and setting up FIX connections
• Front office Applications (Bloomberg, TradeWeb, MarketAxess), Trader Support will be a good benefit
• Experience in supporting order flow management between the trading desk and brokers
• Experience with Javascript will be a huge advantage
• Java applications support background
• Experience with Cloud (AWS) platform

Офіс ефективного регулювання BRDO - незалежний аналітичний центр, який працює над створенням ефективного регулювання, розвитком прозорих правил взаємодії держави табізнесу й впровадженням системних реформ в Україні.  
Ми шукаємо Дата-аналітик (Data Analyst), який долучиться до запуску бази цін на будівельну продукцію та інші матеріальні ресурси у межах проєкту цифровізації та реформування системи ціноутворення у будівництві.
Ця роль - для фахівця, який має практичний досвід роботи з великими масивами структурованих даних, таблицями, довідниками, номенклатурами або реєстрами та хоче працюватинад системними змінами на національному рівні. Ви будете відповідати за підготовку, упорядкування, зведення та технічне опрацювання даних, необхідних для запуску системи, їїперевірки, наповнення та подальшої стабільної роботи.

Основні задачі:

• Збір, зведення та впорядкування даних з основних джерел проєкту, зокрема з Prozorro, Prozorro Market, договорів, прайс-листів виробників і постачальників, звітів з аналізу цін таінших погоджених джерел; 
• Підготовка робочих наборів даних для завантаження в систему та для її перевірки на етапах налаштування і запуску; 
• Приведення даних з різних джерел до єдиної структури: уніфікація назв, одиниць виміру, форматів дат, характеристик продукції, позначень виробників і регіональної прив’язки; 
• Первинне зіставлення позицій із зовнішніх джерел із класифікатором будівельної продукції та виявлення випадків, де таке зіставлення потребує уточнення; 
• Підготовка таблиць відповідності, перехідних таблиць між версіями класифікатора та інших допоміжних таблиць для завантаження і технічного використання; 
• Виявлення технічних проблем у наборах даних: дублювань, пропусків, помилок у форматах, неузгоджених назв, неправильних одиниць виміру, записів без достатньоїідентифікації; 
• Підготовка тестових наборів даних для перевірки завантаження, відображення, довідників, перевірок при внесенні даних і журналювання подій у системі; 
• Участь у формуванні вимог до структури завантаження даних: обов’язкових полів, допустимих значень, форматів подання та переліку помилок, які мають виявлятися системою; 
• Перевірка придатності підготовлених наборів даних до завантаження в систему; 
• Супровід запуску каналів наповнення системи даними та допомога у виявленні проблем у структурі, форматі та складі даних; 
• Участь у технічній перевірці обробки даних під час випробувань системи та після запуску; 
• Фіксація проблем, пов’язаних із даними або їх обробкою, та підготовка прикладів для виправлення; 
• Підготовка зведеної інформації про стан готовності даних до запуску системи та про проблемні категорії, що потребують доопрацювання. 

• Досвід роботи з великими таблицями, наборами даних, довідниками, номенклатурами, реєстрами або каталогами; 
• Практичний досвід зведення, очищення, упорядкування та підготовки даних до завантаження або подальшої обробки; 
• Впевнене володіння Excel та Google Sheets, досвід роботи з SQL, запитами до баз даних або іншими інструментами технічної обробки даних; 
• Бажано - навички роботи з Power BI та знання Python; 
• Розуміння принципів роботи зі структурованими файлами, полями, форматами, кодами, одиницями виміру та таблицями відповідності; 
• Уважність до деталей і здатність системно працювати з повторюваними масивами інформації; 
• Вміння описувати помилки в даних зрозуміло для технічної та нетехнічної команди; 
• Буде перевагою досвід у сферах закупівель, будівництва, кошторисної справи, ціноутворення або державних інформаційних систем; 
• Буде перевагою досвід роботи з класифікаторами, довідниками продукції або каталогами товарів. 

• Досвід участі у проєктах цифровізації державних процесів; 
• Досвід роботи з даними з кількох джерел одночасно; 
• Розуміння логіки роботи державних електронних систем, реєстрів та інтеграцій; 
• Досвід підготовки даних для тестування інформаційних систем. 

• Участь у реформі національного рівня та запуску нової цифрової моделі роботи з ціновими даними у будівництві; 
• Можливість безпосередньо впливати на якість і придатність даних, на яких працюватиме система; 
• Середовище, де поєднуються аналітика, цифровізація, державна політика та практична реалізація реформи; 
• Гнучкий формат роботи: remote / hybrid, офіс у центрі Києва. 

About the company

Turning marketing into a market-domination weapon, we created a new category - the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy - full transparency, control, and predictable outcomes. We’re the #1 lead marketplace in the USA, and we’re accelerating.

Role overview

We are looking for a Senior Financial Data Analyst / FP&A Business Partner who will help us understand where the business makes money, where profit is lost, and which decisions can improve margins, cash flow, and overall performance. You will work closely with founders, finance, product, operations, and business teams to turn financial and operational data into clear recommendations. This role exists to help leadership make faster, better decisions based on real business numbers.

🔧 What You’ll Be Doing:

• Build and improve executive dashboards that show revenue, profit, margins, COGS, OpEx, refunds, payouts, cash flow, and key business metrics
• Analyze profitability across products, customers, providers, geographies, channels, lead sources, and operational workflows
• Create P&L analysis, gross margin analysis, contribution margin analysis, unit economics models, forecasts, and scenario analysis
• Identify cost leaks, overspending, inefficient vendors, payment issues, margin risks, and other areas where the business can improve profit
• Partner with finance, accounting, product, operations, sales, and marketing teams to connect business activity with financial outcomes
• Reconcile business data with invoices, payouts, payment systems, taxes, accounting records, and financial reports
• Present clear recommendations to founders and senior leadership on pricing, cost optimization, product profitability, hiring, and growth decisions

✅ What Makes You a Strong Fit:

• 6-8+ years of experience in financial analytics, FP&A, data analytics, business analytics, or a similar role
• Strong experience with financial modeling, P&L analysis, unit economics, budgeting, forecasting, and variance analysis
• Expert-level SQL and strong hands-on experience with BigQuery
• Strong experience with Looker, Power BI, Tableau, or similar BI tools
• Advanced Excel or Google Sheets skills for financial modeling, reporting, and scenario analysis
• Good understanding of accounting basics, financial statements, revenue, COGS, OpEx, gross margin, contribution margin, and cash flow
• Clear communication in English, both spoken and written, with the ability to explain financial insights to founders, business teams, and non-finance stakeholders

➕ Bonus if you have:

• Experience with Python or another scripting language for data analysis and reporting automation
• Experience with payment systems, accounting systems, CRM, ERP, Stripe, QuickBooks, Xero, NetSuite, or similar tools
• Experience in marketplace, SaaS, fintech, real estate, lead generation, or performance marketing businesses
• Experience working directly with founders or senior leadership in a fast-moving business environment

🎁 Why You’ll Love It Here:

• You’ll work at the core of a product-led, AI-powered startup where data drives every decision
• Your work will ship fast and impact thousands of users
• High autonomy, low bureaucracy: we trust you to own your domain
• Remote-first culture with flexible hours and async-friendly communication
• Salary (fixed base) ABOVE the market average
• A smart, passionate team that moves fast, supports each other, and builds cool stuff
• 15 paid vacation days plus 5 paid sick days annually
• Paid access to courses, books, and growth resources
• Real decision-making power and ownership of your results

The GlobalLogic technology team is focused on next-generation health capabilities that align with the client’s mission and vision to deliver Insight-Driven Care. This role operates within the Health Applications & Interoperability subgroup of our broader team, with a focus on patient engagement, care coordination, AI, healthcare analytics, and interoperability. These advanced technologies enhance our product portfolio with new services while improving clinical and patient experiences.

As part of the GlobalLogic team, you will grow, be challenged, and expand your skill set working alongside highly experienced and talented people.

If this sounds like an exciting opportunity for you, send over your CV!

Requirements

• Strong programming skills in Python
• Data Formats: Experience with JSON, XML and other relevant data formats
• CI/CD Tools: experience setting up and managing CI/CD pipelines using GitLab CI, Jenkins, or similar tools
• Scripting and automation: experience in scripting language such as Python, PowerShell, etc…
• Monitoring and Logging: Familiarity with monitoring & logging tools like CloudWatch, ELK, Dynatrace, Prometheus, etc…
• Documentation: Experience with creating technical documentation

NICE TO HAVE

• Apache Iceberg: best practices for wide tables, Apache Iceberg metadata, Apache Iceberg Optimization, Apache Iceberg CoW vs MoR, Apache Iceberg Metadata Tree, the small file problem (compaction jobs), handling snapshots, handling orphaned data, etc.
• Previous Healthcare or Medical Device experience
• Experience working in Digital Health software
• Experience developing global applications
• Strong understanding of SDLC – Waterfall & Agile methodologies
• Software estimation

Job responsibilities

• Develops, documents, and configures systems specifications that conform to defined architecture standards, address business requirements, and processes in the cloud development & engineering.
• Involved in planning of system and development deployment as well as responsible for meeting compliance and security standards.
• API development using AWS services in a scalable, microservices based architecture
• Actively identifies system functionality or performance deficiencies, executes changes to existing systems, and tests functionality of the system to correct deficiencies and maintain more effective data handling, data integrity, conversion, input/output requirements, and storage.
• May document testing and maintenance of system updates, modifications, and configurations.
• May act as a liaison with key technology vendor technologists or other business functions.
• Function Specific: Strategically design technology solutions that meets the needs and goals of the company and its customers/users.
• Leverages platform process expertise to assess if existing standard platform functionality will solve a business problem or customization solution would be required.
• Test the quality of a product and its ability to perform a task or solve a problems.
• Perform basic maintenance and performance optimization procedures in each of the primary operating systems.
• Ability to document detailed technical system specifications based on business system requirements
• Ensures system implementation compliance with global & local regulatory and security standards (i.e. HIPAA, SOCII, ISO27001, etc…)

• Досвід роботи на посаді Risk manager або в аналогічній ролі в сфері спорту та/або кіберспорту (обов’язково) — Кандидатів без досвіду не розглядаємо
• Уважність до деталей, стресостійкість, неконфліктність
• Аналітичний підхід, вміння та бажання працювати з цифрами
• Базові знання спорту та кіберспорту — обов‘язково
• Автономність у прийнятті правильних рішень, уміння критично оцінити ситуацію та знайти необхідне джерело інформації
• Базові математичні навички
• Англійська мова рівня Pre-Intermediate

• Контроль та модерація спортивних подій: додавання, перевірка правильності формату
• Перевірка звітів та робота з цифровими даними
• Розрахунок подій і ставок
• Комунікація з постачальниками спортивних даних
• Комунікація з технічним відділом з питань помилок та доопрацювань (багів)

• Креативний, цікавий та стабільний продукт
• Великий міжнародний спортивний проект
• Віддалений формат роботи на період воєнного стану
• Графік роботи: 2/2, 3/3 (обов’язкові нічні зміни)
• Стабільна заробітна плата, справедлива та фінансово цікава система KPI працівника (бонусна система)

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Our client - Europe's largest online car marketplace with 30M+ monthly users across 18 countries - is investing in a next-generation Agentic Software Delivery platform. The goal is to enable autonomous engineering at scale, starting with SDLC automation and expanding further: humans steer, agents deliver.
This is a greenfield environment. A dedicated team will build an end-to-end platform on AWS, integrating with internal systems and delivery processes. The target is for 10–20% of JIRA stories to be handled through fully autonomous delivery within 12 months.

We are looking for a self-driven Engineer with AI experience who thrives in ambiguity and takes ownership without waiting to be directed. This is a proactive role - you are expected to identify problems, propose solutions, and drive them independently.
In addition to engineering, ~10% of your time will involve working with internal delivery teams: understanding their SDLC processes, identifying friction points, and feeding insights back into the platform. You will also support adoption by explaining and promoting the solution across teams.

Must-Have Requirements:

• 5-7+ years of full-stack software engineering experience.
• Hands-on experience with agentic coding tools (e.g. Claude Code, GitHub Copilot, Codex, Cursor) and an understanding of how they work underneath: model APIs, tool calling, agent loops, context management.
• Understanding of LLM API and tool-use patterns: function calling, tool orchestration, and the ability to integrate AI models programmatically, not just through existing UIs.
• Ability to evaluate trade-offs between off-the-shelf agentic tools and custom API-based implementations.
• Genuine enthusiasm for and an informed opinion on where agentic tooling is heading.
• Strong full-stack fundamentals; comfortable owning significant pieces end-to-end across frontend and backend.
• Solid experience in any primary backend language (Java, Python, etc.) combined with React or any other modern frontend framework.
• Proactive, self-driven mindset, able to work independently without detailed instructions.
• Strong communication skills in English (B2–C1).
• Comfortable working in greenfield environments with evolving requirements.

Strong Plus:

• Workflow Engines: Experience with workflow or orchestration engines (e.g. Camunda, N8N, or similar).
• Camunda experience specifically is a significant advantage given the current architectural direction.
• Familiarity with AWS AI services; AWS AI Practitioner certification (AIF-C01) is a notable bonus.
• Exposure to cloud-native orchestration patterns and multi-agent system design.

Mindset & Soft Skills:

• Proactive and self directed, drives outcomes without waiting for direction.
• Comfortable with ambiguity, makes pragmatic decisions when the path is not fully defined.
• Strong technical communication, effectively collaborates with peer engineers to understand domain context.
• Forward thinking, stays current with the AI and agentic tooling landscape and brings new ideas.
• Energized by transforming software delivery, not just a participant but a believer.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid). 

We are building an agentic sales automation for post-CRM era. The AI-native product combines structured and unstructured data, LLM workflows, and agentic automation to help sales people to focus properly, work more efficiently and automate repetitive sales processes. 

The product is already being tested by early customers. We are growing the core engineering team and looking for people who want to work on real product systems with direct impact on architecture, quality, and speed of delivery. 

About the role 

We are looking for a Senior Generative AI Engineer with 5+ years of commercial Python experience and hands-on experience building production GenAI / RAG systems. 

This is a hands-on engineering role focused on: 

• Python backend  
• LLMs and RAG  
• AI Copilot / assistant workflows  

We are looking for someone who can take a problem, propose a practical solution, and move it to production. 

What you will do 

• Design, build, deploy, and maintain production GenAI / RAG pipelines  
• Integrate LLMs and agentic assistants into product workflows  
• Improve latency, reliability, scalability, and cost-efficiency of AI systems  
• Evaluate and implement new GenAI, multi-agent, and orchestration frameworks  
• Contribute to architecture and technical decisions across the platform  

What we are looking for 

• 5+ years of commercial Python experience 
• Strong backend experience with FastAPI, APIs, webhooks, Docker, Kubernetes, Git, and CI/CD 
• Commercial experience with LLMs in production 
• Strong hands-on experience with RAG, retrieval workflows, embeddings, and vector search 
• Experience with LangChain, LangGraph, LangSmith, or similar frameworks 
• Good knowledge of SQL, Pandas, ETL, data cleaning, and ingestion pipelines 
• English: B2 or higher 
• High ownership, independence, and product mindset 

Nice to have 

• Multi-agent LLM systems 
• Knowledge graphs, graph databases, or graph-based retrieval 
• Kafka, Azure Event Hub, or other event-driven systems 
• Azure cloud infrastructure 
• Production ML / NLP systems 
• Evaluation, tracing, observability, and optimization of AI pipelines 
• Graph algorithms or tools like NetworkX 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• A core engineering role in an AI-native product 
• Direct influence on technical decisions and architecture 
• Real ownership and visible product impact 

If you have strong Python backend fundamentals and real production GenAI / RAG experience, we’d love to talk. 

We are looking for IT Business Analyst to join our team. In this role, you will be responsible for reviewing and improving BA processes across multiple projects, supporting Project Managers (PMs) with their BA challenges, and helping to maintain our BA knowledge base. Also, you will step into a Business Analyst role on specific project. Main domains: healthcare, e-commerce, logistics, fintech, and SaaS.
 

Requirements

- 4+ years of experience as IT Business Analyst.
- Proven experience working in Agile / Scrum / Kanban environments.
- Experience working with diverse domains such as healthcare, e-commerce, logistics, fintech, and SaaS.
- Experience in reviewing and improving BA processes across multiple projects.
- Experience in pre-sales
- Strong experience writing: User Stories, Acceptance Criteria, Use Cases
Functional / Non-functional requirements
- Solid experience with business process modeling tools and techniques (e.g., BPMN, UML).
- Strong knowledge of documentation tools:
Clickup (Jira, Notion or similar tools)
- Understanding of REST APIs, databases (SQL basics), and system integration.
- Solid Experience with requirements gathering and stakeholder management.
- Familiarity with prototyping tools (e.g., Figma, Lucidchart, Miro).

Responsibilities

- Review and improve BA processes across various projects to ensure consistency, quality, and best practices.
- Support Project Managers with their BA-related challenges, providing expertise in requirements management, business process modeling, and stakeholder communication.
- Maintain and enrich the BA knowledge base, ensuring it is up-to-date with the latest tools, techniques, and industry practices.
- Business Analyst role on projects, working directly with stakeholders to gather and analyze requirements, model business processes, and support implementation.
- Collaborate with cross-functional teams including Product Managers, Developers, QA, and Business Stakeholders.
- Facilitate workshops and sessions to align business requirements with technical solutions, ensuring clarity and understanding across teams.
- Participate in Pre-sales
 

Would be a plus

- Experience with product discovery, product management, and business transformation.
- Certifications like PMI-PBA, or similar.
- Previous experience working in process improvements within BA teams.

Our client is lооkіng fоr Senіоr Prоduct Аnаlysts tо jоіn their grоwіng аnаlytіcs teаm (30+ prоfessіоnаls).

Іn thіs rоle, yоu wіll drіve tаngіble busіness іmpаct by delіverіng hіgh-quаlіty іnsіghts аnd recоmmendаtіоns, leverаgіng yоur аbіlіty tо cоmbіne strаtegіc thіnkіng аnd prоblem-sоlvіng wіth detаіled аnаlysіs. Yоu wіll cоllаbоrаte clоsely wіth Prоduct Mаnаgers аnd crоss-functіоnаl teаms, uncоverіng busіness іnsіghts, devіsіng оptіmіzаtіоn strаtegіes, аnd vаlіdаtіng them thrоugh experіments.

Whаt Yоu’ll Dо

• Cоnduct deep-dіve аnаlyses аnd delіver аctіоnаble іnsіghts tо іmprоve prоduct perfоrmаnce.
• Аnаlyze lаrge-scаle dаtаsets (funnel events, trаnsаctіоnаl, аnd text dаtа) tо іdentіfy grоwth оppоrtunіtіes.
• Desіgn аnd іnterpret А/B tests, MАB experіments, аnd hypоthesіs-drіven аnаlyses.
• Trаck аnd іmplement key busіness metrіcs tо suppоrt decіsіоn-mаkіng.
• Wоrk wіth cuttіng-edge tооls, іncludіng Bаyesіаn stаtіstіcs, ML mоdels, аnd LLMs.
• Cоllаbоrаte wіth а lаrge аnd hіghly skіlled Аnаlytіcs teаm, fоsterіng а knоwledge-shаrіng envіrоnment.

Whаt We’re Lооkіng Fоr

• 5+ yeаrs оf experіence іn prоduct аnаlytіcs, preferаbly іn e-cоmmerce оr custоmer experіence prоducts.
• Prоfіcіency іn SQL, wіth the аbіlіty tо wrіte cоmplex querіes tо extrаct іnsіghts аnd suppоrt decіsіоn-mаkіng.
• Strоng prоfіcіency іn Excel fоr аnаlysіs аnd busіness mоdelіng.
• Experіence wіth Pоwer BІ (Tаbleаu experіence іs аlsо cоnsіdered).
• Expertіse іn Descrіptіve аnd Іnferentіаl Stаtіstіcаl Аnаlysіs, А/B testіng, аnd Hypоthesіs Testіng, wіth а prоven аbіlіty tо аnаlyze results.
• Fаmіlіаrіty wіth Gооgle Аnаlytіcs, BіgQuery, Pythоn/R, аnd ML іs desіrаble.
• Excellent cоmmunіcаtіоn skіlls, wіth cоnfіdence іn іnterаctіng аcrоss аll levels оf mаnаgement аnd dіverse busіness functіоns.
• Englіsh prоfіcіency(аt leаst strоng upper-іntermedіаte level).

Why Jоіn the team?

• Hіgh-Іmpаct Dаtа— Wоrk wіth vаst dаtаsets generаted by оver а mіllіоn dаіly vіsіts, uncоverіng vаluаble іnsіghts.
• Cоllаbоrаtіve Аnаlytіcs Teаm— Jоіn а teаm оf 30+ skіlled аnаlysts whо аctіvely shаre knоwledge аnd suppоrt eаch оther.
• Cuttіng-Edge Tооls & Technіques— Get hаnds-оn experіence wіth ML, Bаyesіаn methоds, аnd LLMs tо sоlve reаl busіness chаllenges.
• Dаtа-Drіven Culture— Thrіve іn аn envіrоnment where dаtа іnfоrms every decіsіоn аnd drіves cоntіnuоus іmprоvement.

Perks аnd Benefіts

• Tіme оff thrоughоut the yeаr (pаіd аnd unpаіd)
• Prоfessіоnаl develоpment suppоrt аnd encоurаgement
• Resоurces tо help іmprоve yоur оverаll well-beіng

Are you in the top 1%?
 

Before anything else - this role is for genuinely outstanding people. The kind who have already proven, somewhere in their life, that they operate above the bar. For example:
 

• Winners or prize-holders of national/international Olympiads in Physics, Math, Informatics, Chemistry, etc.
• FLEX program alumni (or other selective international exchanges)
• Top of your class at UCU, LNU, KPI, KMA, or a comparable top university
• Top graduates of Physics-Math Lyceums and other selective schools
• Founders of something real - a startup, a community, a project that people actually used, even if it has failed eventually, but you've launched and got some early traction - we would love to hear from you. 
• Anyone with a verifiable record of being the sharpest person in the room
   

If that sounds like you, keep reading.

The job title is flexible - depending on your strengths and interests, you could grow into a Software Engineer, Data Analyst, AI Strategist, AI Product Owner, or another role we'll shape together.
 

What we're building
 

We're building a 100x company - and we need smart, ambitious people to build it with us. Our thesis is simple: AI is the biggest shift of our lifetime, and the people who learn to use it deeply will operate at 10x the speed and output of everyone else. If everyone in the company operates at 10x and the company is build around it - that's how we can achieve 100x company. We're putting that thesis into practice ourselves, and then helping our clients do the same through their AI transformation.
 

The deal

• You join us and spend your first phase learning - deeply - how to use AI to become 10x better at your craft - data analyst, software engineer, consultant etc. 
• You then work directly with our clients, helping them rethink and rebuild their workflows, products, and teams around AI
• You grow with the company as we scale toward a 100x outcome
   

What we're looking for

• Outstanding raw intelligence and curiosity (see the list above)
• Perfect level English - written and spoken
• A real track record of achievements, not just credentials
• Obsession with AI and a hunger to master it, even if you're not technical today
• Ownership mentality - you move fast, take initiative, and don't wait to be told what to do
   

Who this is NOT for

• People looking for a comfortable, predictable job
• People without real achievements to point to
• People who think AI is "just another tool"
   

How to apply

In your application, tell us the single most impressive thing you've ever done - Olympiad medal, exchange program, top ЗНО/НМТ results, a project you built, anything. Show us why you belong in the top 1%.

 

Overview

We are looking for a Senior Data Engineer with expertise in scalable data platforms and distributed systems to join our dynamic team. You will play a key role in building HyperGuest’s data platform from the ground up, creating the infrastructure, pipelines, and real-time processing systems that will power our products and business insights.

This is a unique opportunity to shape both the company’s data architecture and its data-driven culture.

Responsibilities

Design, build, and maintain scalable data pipelines and cloud-based data infrastructure in AWS.

Build systems capable of processing and analyzing petabytes of data in distributed production environments.

Own and evolve the analytical data warehouse on ClickHouse — schema design, ingestion pipelines from Kafka/Kinesis/S3, materialized views, query performance, and cost control at large scale.

Develop real-time stream processing solutions using Kafka, Kinesis, and Spark.

Design and manage distributed messaging and queue-based systems (SQS, RabbitMQ, etc.).

Collaborate with engineering, product, and business teams to deliver impactful data solutions and actionable insights.

Drive a data-first culture by promoting best practices and enabling smarter, data-driven decision-making across the company.

Develop backend services and integrations using TypeScript and modern cloud-native technologies.

Improve data reliability, observability, scalability, and operational efficiency.

Participate in architecture and strategic technology discussions that shape the future of HyperGuest’s platform.

Requirements

• 4+ years of experience in Data Engineering, preferably in start-up companies.
• Hands-on experience with ClickHouse (or comparable columnar OLAP engine)
• Hands-on experience with stream processing technologies (Kafka, Kinesis, Spark).
• Hands-on experience with queues and messaging systems (SQS, RabbitMQ, etc.).
• Strong SQL knowledge and experience designing and optimizing complex queries and data models – mandatory.
• Strong hands-on experience with TypeScript.
• Experience building and maintaining large-scale distributed systems and data pipelines.
• Experience with AWS cloud infrastructure and modern CI/CD workflows.
• Familiarity with relational databases such as MySQL.
• Strong problem-solving skills, ownership mindset, and a “can do” attitude.
• Detail-oriented with a strong commitment to quality.

We are looking for a Senior AI/ML Engineer to design, build, and scale AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready AI systems, including LLM-powered applications, RAG pipelines, and machine learning models, while collaborating closely with cross-functional teams. You will contribute to architectural decisions, ensure high-quality implementations, and help evolve AI capabilities within enterprise environments.

Key Responsibilities

• Design, develop, and enhance AI-driven solutions, including machine learning models, LLM-based applications, and NLP workflows for analytics, automation, and decision-making
• Build and optimize RAG pipelines, including embeddings, retrieval strategies, chunking approaches, and hybrid search techniques
• Develop AI solutions within Palantir Foundry, leveraging Ontology objects, pipelines, and workflows
• Apply LLMs and GenAI techniques (prompt engineering, fine-tuning, embeddings, retrieval-augmented generation) using Palantir AIP
• Own the end-to-end lifecycle of AI solutions: data preparation, model development, evaluation, deployment, and monitoring
• Collaborate with data engineers to ensure data quality, pipeline efficiency, and scalable data processing
• Integrate AI models into production workflows to deliver business-facing insights and automation capabilities
• Evaluate and improve model and system performance, including accuracy, latency, scalability, and cost-efficiency
• Contribute to architecture decisions, including selection of tools, frameworks, and design patterns for AI systems
• Implement and follow MLOps / LLMOps best practices, including versioning, evaluation frameworks, monitoring, and continuous improvement
• Ensure responsible AI practices, including data privacy, governance, and compliance considerations
• Collaborate with stakeholders to translate business needs into practical and scalable AI solutions

• Mentor junior engineers and contribute to knowledge sharing within the team

   

Requirements

• 4–5+ years of experience in AI/ML engineering, applied data science, or related fields
• Strong proficiency in Python and experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)
• Hands-on experience with LLMs, NLP, or GenAI applications (prompt engineering, embeddings, text processing, summarization, etc.)
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Strong understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and deployment
• Experience building and deploying production-grade AI systems
• Familiarity with structured and unstructured data processing (tabular, time series, text, documents)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
• Understanding of MLOps / LLMOps practices, including monitoring, evaluation, and iteration
• Experience working in enterprise data environments with cross-functional teams
• Ability to communicate AI concepts and results to technical and non-technical stakeholders

• Upper-Intermediate English or higher

   

Nice to Have

• Experience with Palantir Foundry (Ontology, Object Builders, Code Repositories, AIP)
• Experience in regulated industries (e.g., pharma, finance)
• Experience with distributed data processing (e.g., Spark)
• Exposure to multilingual or multimodal AI systems