Jobs Data & Analytics

GR8 Tech builds B2B iGaming platforms for operators who play to lead.

We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions.

With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos.

Our ambition drives us. Our people make it real.

If you’re a challenger in spirit and a champion in action — join us.

Why this role exists:
Payments sit at the heart of our product and revenue. This role exists to turn payment data into decisions that improve conversion, reliability, and business outcomes.
You’ll help us scale and optimize our payments ecosystem by owning analytics across deposits, withdrawals, PSP performance, and payment experiments — from problem framing to stakeholder-ready insights.

What you’ll drive:

Strategy & outcomes
— Own core Payments KPIs and ensure metric consistency across teams (single source of truth).
— Identify the biggest levers in deposit and withdrawal funnels and quantify their business impact.
— Translate payment performance signals into clear priorities and recommendations. 

Discovery & decisions
— Partner with Payments Product Managers to shape hypotheses, define success criteria, and select the right metrics and guardrails.
— Run deep-dive analyses on approval rates, decline reasons, PSP performance, and payment method mix.
— Evaluate trade-offs between conversion, revenue, and risk using data-backed narratives.

Delivery & execution
— Analyze payment experiments and changes (A/B tests, phased rollouts, pre/post analysis).
— Build reliable analytical datasets and marts using advanced SQL.
— Deliver clear, decision-ready insights with expected impact — not just charts.

BI & self-service
— Lead Payments BI development in Tableau: dashboards, reporting layers, and definitions.
— Enable self-service analytics for product and payments stakeholders.
— Maintain data quality and trust in reporting.

Stakeholder partnership
— Work closely with Payments, Product, Risk, and Operations teams.
— Communicate complex findings in a simple, structured way — tailored to the audience.
— Be the go-to analytics partner for payments-related questions and decisions.

What makes you a GR8 Fit:

Must-have
— 4+ years of experience as a Data or Product Analyst in a product environment (payments or fintech strongly preferred).
— Advanced SQL (complex joins, window functions, performance optimization, analytical datasets).
— Strong understanding of payments metrics and drivers: approval and success rates, decline reasons, funnels, PSP performance, chargebacks, refunds.
— Proven experience partnering with Product and Payments stakeholders end-to-end (hypotheses → metrics → insights → decisions).
— Strong BI skills (Tableau preferred) and experience building scalable dashboards.
— Confident Excel / Google Sheets skills (models, scenarios, structured reporting).
— Solid grounding in statistics and experimentation (significance, bias, segmentation).
— English: Upper-Intermediate+ (spoken and written).

Nice-to-have
— Hands-on experience with A/B testing and experiment governance.
— Python for analysis or automation (pandas, numpy, matplotlib / plotly).
— Experience working with high-volume transactional data.

Why you’ll love working here:

Benefits Cafeteria — annual budget you allocate to:
Sports • Medical • Mental health • Home office • Languages.

Work-life & support
— Paid maternity/paternity leave + monthly childcare allowance.
— 20+ vacation days, unlimited sick leave, emergency time off.
— Remote-first + tech support + coworking compensation.
— Team events (online/offline/offsite).
— Learning culture with internal courses + growth programs.

Our culture & core values:
GR8 Tech culture is how we win — through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that’s got your back.

FUELLED BY TRUST: we’re open, honest, and have each other’s backs.
OWN YOUR GAME: we take initiative and own what we do.
ACCELER8: we move fast, focus smart, and keep it simple.
CHALLENGE ACCEPTED: we grow through challenges and stay curious.
BULLETPROOF: we’re resilient, ready, and always have a plan.

We’re looking for an experienced GA4 / GTM specialist to audit and optimize our analytics setup for a B2B website.

Objectives:

• Ensure conversion tracking is accurate and reliable (form submissions / thank-you flow)
• Improve attribution and channel reporting consistency
• Reduce data noise and improve reporting quality
• Deliver a clear list of findings + implement fixes
   

Scope:

• GA4 events & key events audit
• Conversion tracking validation
• GTM container review
• Attribution & channel grouping review
• Data hygiene improvements (internal/bot traffic handling, referral exclusions, unwanted parameters)
• Documentation + final verification
• Optional: Looker Studio dashboard improvements

Impulse is a brain training app that helps people keep their brains sharp with bite-sized fun games and logic puzzles. Impulse is the world’s most downloaded app in the Brain Training category with over 100 million downloads. The app is trusted by users worldwide, with a 4.7 rating on the App Store, and has been featured as App of the Day in over 50 countries, including the UK, Canada, and Australia.

Impulse is a part of Headway Inc, a global tech company that revolutionises lifelong learning by creating digital products for over 150 million users worldwide. Our mission is to help people grow. We’re proud to be ranked 4th among the World’s Top EdTech Сompanies by TIME magazine.

The core of our achievements is our team. That’s why, together with Zoriana, Marketing Data Analyst at Impulse, we’re looking for an Data Analyst to join our team of superstars. Our analytics team help to drive decisions for our global product that empowers millions of users worldwide. We are looking for someone who loves exploring data, building dashboards, and turning insights into real impact for people.

This job is perfect for you if you want to:

• Work with marketing data across iOS, Android, and Web platforms of a product used by millions of users worldwide.
• Use large datasets and a modern analytics stack to answer high-impact business questions.
• Analyse a wide range of growth challenges — from channel performance to experiment results and user behavior.
• Have real ownership over your insights, with freedom in choosing approaches and strong support from an experienced analytics team.

What you will do:

• Data collection & analysis: gather and analyse data from multiple sources (databases, ad platforms, AppsFlyer, Amplitude) to identify patterns, trends, and growth opportunities.
• Metrics & dashboards: build and maintain a system of metrics and Tableau dashboards to track marketing performance and support decision-making.
• Ad-hoc & deep-dive analytics: answer business questions, investigate anomalies, and provide insights for ongoing growth and campaign optimisation.
• Automation & process improvement: implement analytics automation, continuously improve and optimise existing analytical processes.

What do you need to join us:

• 2+ years of experience in analytics, preferably in marketing or product.
• Strong SQL and Tableau skills to explore data and create dashboards.
• Good understanding of key marketing metrics and unit economics (CAC, LTV, funnels, cohorts).
• Analytical and detail-oriented, able to turn numbers into clear insights.
• Proactive and responsible, ready to take ownership and make an impact.
• English - Upper-Intermediate+ for smooth communication across teams.
• Alignment with the values of our team.

Nice to have:

• Experience working with marketing and attribution data (AppsFlyer, ad platforms, etc.).

What do we offer:

• Work within an ambitious team on a socially impactful education product.
• An office with a reliable shelter, generators, satellite internet, and other amenities.
• Access to our corporate knowledge base and professional communities.
• Personal development plan.
• Compensation for English language learning, external training, and courses.
• Medical insurance and full sick leave compensation.
• Sports activities: running, yoga, boxing, and more.
• Corporate holidays.
• Supporting initiatives that help Ukraine. Find out more about our projects here.

Working schedule

This is a full-time position with a hybrid option. It means that we will prefer you to attend office 2-3 times per week.

Are you interested?

Send your CV!

About Us:

Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for a Data Engineer to join our team.

We are expanding an international, diverse team with experts in trading, statistics, engineering, and technology. Our disciplined approach, combined with rapid market feedback, allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world’s hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort. 

Role Highlights:
We are seeking an experienced Senior Data Engineer to design, build, and maintain our comprehensive Data Lake for a fast-growing number of research and production datasets. This role combines hardware and platform infrastructure expertise with data engineering excellence to support our rapidly growing data assets (~200TB current, scaling ~100TB/year). 
 

Responsibilities:

• Architect and manage high-performance, scalable on-premise data storage systems optimized for large-scale data access and analytics workloads
• Configure and maintain compute clusters for distributed data processing
• Plan capacity and scalability roadmaps to accommodate 100TB+ annual data growth
• Design and implement efficient monitoring and alerting systems to forecast growth trends and proactively react to critical states
• Design, create, automate, and maintain various data pipelines
• Enhance existing and setup new “data checks” and alerts to determine when the data is “bad”
• Design and implement a comprehensive on-premise Data Lake system connected to VAST storage solution for normalized market data across:
  • US Equities, US Futures, and SIP feeds
  • Other market data sources that will be further added
  • Security Definition data for various markets
  • Various private column data
• Build and operate end‑to‑end data pipelines and SLA/SLO monitoring to ensure data quality, completeness, and governance
• Analyze existing data models, usage patterns, and access frequencies to identify bottlenecks and optimization opportunities
• Develop metadata and catalog layers for efficient data discovery and self‑service access
• Design and deploy event‑driven architectures for near real‑time market data processing and delivery
• Orchestrate ETL/ELT data pipelines using tools like Prefect (or Airflow), ensuring robustness, observability, and clear operational ownership
• Ensure fault tolerance, scalability, and high availability across existing systems
• Partner with traders, quantitative researchers, and other stakeholders to understand use cases and continuously improve the usability, performance, and reliability of the Data Lake  

Requirements:

• 5+ years of experience in data engineering or data platform roles
• Proven experience with large‑scale data infrastructure (hundreds of TBs of data, high‑throughput pipelines)
• Strong understanding of market data formats and financial data structures (e.g., trades, quotes, order books, corporate actions)
• Experience designing and modernizing data infrastructure within on-premise solutions
• Bachelor’s degree in Computer Science, Engineering or related field required; Master’s degree preferred or equivalent practical experience

Tech Skills:

• Data Engineering - Spark, Iceberg (or similar table formats), Trino/Presto, Parquet optimization
• ETL pipelines - Prefect/Airflow or similar DAG-oriented tools
• Infrastructure - High-performance networking and compute
• Storage Systems - High-performance distributed storage, NAS/SAN, object storage
• Networking - Low-latency networking (aware about DPDK and kernel bypass technologies. Data center infrastructure basics
• Programming - Python (production‑grade), SQL, building APIs (e.g., FastAPI)
• Data Analysis - Advanced SQL, Tableau (or similar BI tools), data profiling tools

Nice to have:

• Experience in HFT or financial services
• Background in high‑frequency trading (HFT) or quantitative finance

What we offer:

• Competitive compensation package
• Performance-based bonus opportunities
• Healthcare & Sports/gym budget
• Mental health support, including access to therapy
• Paid time off (25 days)
• Relocation support (where applicable)
• International team meet-ups
• Learning and development support, including courses and certifications
• Access to professional tools, software, and resources
• Fully equipped workstations with high-quality hardware
• Modern office with paid lunches
   

Our motivation:

We are a company committed to staying at the forefront of technology. Our team is passionate about continual learning and improvement. With no external investors or customers, we are the primary users of the products we create, giving you the opportunity to make a real impact on our company's growth.

Ready to advance your career? Join our innovative team and help shape the future of trading on a global scale. Apply now and let's create the future together!

Your future responsibilities:

• Perform client data analysis and business analysis
• Prepare data using SQL
• Involvement in the development, automation, implementation and maintenance of department reporting
• Participation in the development of methodology and process optimization

Your skills and experience:

• 1 year of experience in the field of data analysis
• Higher financial and economic, mathematical or IT-related education
• Experience with SQL
• Knowledge of Python
• Experience with Power BI, high level of Excel (formulas, pivot tables, data sources)
• Report writing, ability to work with large data sets
• English level A2 (Pre-Intermediate)

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. Classification: PUBLIC
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT Security, Leadership, Agile, сorporate library.
• Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs
• Career opportunities: we encourage advancement within the bank across functions
• Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes

Why Raiffeisen Bank?

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter!
• One of the largest lenders to the economy and agricultural business among private banks
• Recognized as the best employer by EY, Forbes, Randstad, Franklin Covey, and Delo.UA
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ)
• One of the largest IT product teams among the country’s banks. • One of the largest taxpayers in Ukraine; 6.6 billion UAH were paid in taxes in 2023.

Opportunities for Everyone:

• Raif is guided by principles that focus on people and their development, with 5,500 employees and more than 2.7 million customers at the center of attention
• We support the principles of diversity, equality and inclusiveness
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to your special needs
• We cooperate with students and older people, creating conditions for growth at any career stage

You matter at Raif!

Want to learn more? Follow us on social media:

Facebook, Instagram, LinkedIn

______________________________________________________________________

Твої майбутні обов’язки: 

• Здійснювати аналіз клієнтських даних та аналіз бізнесу
• Здійснювати підготовку даних з допомогою SQL
• Залученість в процес розробки, автоматизації, впровадження і супроводження звітності підрозділу
• Участь в розробці методології і оптимізації процесів

Твій досвід та навички:

• 1 рік досвіду в області дата аналізу
• Вища фінансово-економічна, математична або IT-related освіта
• Досвід роботи з SQL
• Знання Python
• Досвід роботи з Power BI, високий рівень роботи з Excel (формули, зведені таблиці, джерела даних)
• Написання звітів, вміння працювати з великими масивами даних
• Англійська рівня A2 (Pre-Intermediate)

Пропонуємо те, що має значення саме для тебе: 

• Конкурентна заробітна плата: ми гарантуємо стабільний дохід та щорічні бонуси за ваш особистий внесок. Крім того, у нас є реферальна програма з винагородами за залучення нових колег до Райффайзен Банку.
• Соціальний пакет: офіційне працевлаштування, 28 днів оплачуваної відпустки, додатковий “декрет” для татусів, та матеріальна допомога для батьків при народженні дітей.
• Комфортні умови праці: можливість гібридного формату роботи, офіси забезпеченні укриттями та генераторами, забезпечення сучасною технікою.
• Wellbeing програма: для всіх співробітників доступні медичне страхування з першого робочого дня; консультації психолога, нутриціолога чи юриста; дисконт програми на спорт та покупки; family days для дітей та дорослих; масаж в офісі.
• Навчання та розвиток: доступ до понад 130 навчальних онлайн-ресурсів; корпоративні навчальні програми з CX, Data, IT Security, Лідерства, Agile, корпоративна бібліотека.
• Крута команда: наші колеги — це спільнота, де вітаються допитливість, талант та інновації. Ми підтримуємо один одного, вчимося разом та зростаємо. Ти можеш знайти однодумців у понад 15-ти професійних ком’юніті, читацькому чи спортивному клубах.
• Кар’єрні можливості: ми заохочуємо просування всередині банку між функціями.
• Інновації та технології. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go(infra,security), Swift (IOS), Kotlin (Andorid). Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink.
• Програма підтримки захисників і захисниць: ми зберігаємо робочі місця та виплачуємо середню заробітну плату мобілізованим. Для ветеранів та ветеранок у нас діє програма підтримки, розвивається ветеранська спільнота Банку. Ми працюємо над підвищенням обізнаності керівників та команд з питань повернення ветеранів до цивільного життя. Райффайзен Банк відзначений як один з найкращих роботодавців для ветеранів (Forbes).

Чому Райффайзен Банк? 

Наша головна цінність — люди і ми даємо їм підтримку і визнання, навчаємо, залучаємо до змін. Приєднуйся до команди Райфу, адже для нас ТИ маєш значення! 

• Один із найбільших кредиторів економіки та аграрного бізнесу серед приватних банків 
• Визнаний найкращим працедавцем за версіями EY, Forbes, Randstad, Franklin Covey, Delo.UA 
• Найбільший донор гуманітарної допомоги серед банків (Червоний Хрест України, UNITED24, Superhumans, СМІЛИВІ) 
• Одна з найбільших ІТ-продуктових команд серед банків країни 
• Один із найбільших платників податків в Україні, за 2023 рік було сплачено 6,6 млрд гривень

Можливості для всіх: 

• Райф керується принципами, що фокусуються на людині та її розвитку, у центрі уваги 5 500 співробітників та понад 2,7 мільйони клієнтів  
• Підтримуємо принципи різноманіття, рівності та інклюзивності
• Ми відкриті до найму ветеранів і людей з інвалідністю та готові адаптувати робоче середовище під ваші особливі потреби
• Співпрацюємо зі студентами та людьми старшого віку, створюючи умови для зростання на будь-якому етапі кар’єри

В Райфі ти маєш значення! 

Бажаєш дізнатися більше? — Підписуйся на нас у соц.мережах: Facebook, Instagram, LinkedIn 

Dataforest is looking for a Business analyst to join our team. If you're looking for a challenging project and a friendly, supportive team, you've come to the right place to send your resume.

Skills requirements:
- 2+ years of experience in system, functional, or business analysis;
- English: Advanced and higher;
- Practical experience with key business analysis techniques and requirement management tools;
- Understanding of SDLC and agile development processes;
- Knowledge of business process modeling;
- Proficiency in identifying and translating business needs into clearly defined requirements;
- Experience in drafting functional / business / system requirement specifications;
- Experience in working with stakeholders and requirements elicitation;
- Critical thinking and problem-solving skills;

- Ability to decompose complex requirements into manageable tasks;

- Understanding of web development concepts and technologies.
- Excellent interpersonal and communication skills.

Nice to have:
- Experience in using SQL;
- Experience with integration projects.

Responsibilities:
- Communicating with stakeholders to identify their needs and clarify requirements;
- Analyzing, validating, grooming and documenting requirements to the projects;
- Visualizing business processes and preparing data models for the software projects;
- Advising stakeholders on the common practices and possible product solutions;
- Performing competitor and market analysis, assisting in developing product ideas;
- Communicating project vision and coordinating development with engineering teams;
- Participating in presales and estimates.

We offer:

- Opportunity to work with the high-skilled engineering team on challenging projects;

- Interesting projects with new technologies;

- Great networking opportunities with international clients, challenging tasks;

- Building interesting projects from scratch using new technologies;

- Personal and professional development opportunities;

- Competitive salary fixed in USD;

- Paid vacation and sick leaves;

- Flexible work schedule;

- Friendly working environment with minimal hierarchy;

- Team building activities, corporate events.

COMPANY

Arcyn is a freshly funded seed stage startup. We’re creating an AI-powered compliance checker for architectural design — an Autodesk Revit plugin that automatically checks designs against regulations as they're being created. Architects get instant feedback on violations as they design in Revit, instead of waiting weeks for permit reviewers to tell them what's wrong.

We’ve just closed pre-seed round and are building core technical team. We’re now a team of 4 with a track record of building complex technical products, and we're looking for a strong AI engineer who's comfortable testing hypotheses and working across different frameworks. This is a chance to join at the ground floor, shape product architecture and solve genuinely hard AI problems.

----

In this role, you'll architect AI systems from scratch and own the full development cycle, there's plenty of room for experimentation and rapid iteration. We're seeking a highly skilled AI Engineer with strong experience in orchestrating multi-step LLM workflows, automated code generation, and compliance logic formalization.

RESPONSIBILITIES: 
• Design and maintain modular, multi-step AI workflows for compliance automation. 
• Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Perplexity) into a cohesive orchestration pipeline. 
• Build cost-optimized batch processing and intelligent API request strategies. 
• Translate complex regulations into structured, machine-executable logic. 
• Develop and validate automatically generated code to ensure correctness, safety, and performance. 
• Collaborate with domain experts to refine logic interpretation and edge case handling. 

• Maintain high-quality, well-structured Python codebases with clear separation of concerns. 

REQUIREMENTS  
• 5+ years of professional software engineering experience. 
• Strong Python skills, including experience writing production-grade, modular code. 
• Proven track record building multi-step LLM workflows (LangChain, LangGraph, or similar). 
• Experience in structured code generation and validation. 
• Strong debugging skills and comfort working with complex, evolving systems. 

   NICE TO HAVEs: 
   • Experience with compliance automation, technical regulations, or domain-specific rule translation. 
   • Familiarity with Pydantic models or other type-safe data management frameworks. 
   • Background in developer tooling or systems requiring high reliability and reproducibility. 
   • Experience optimizing LLM API usage for both cost and speed. 

WE OFFER:

• B2B set-up via SP account
• Full-time remote role aligned with EEST
• Be part of the team shaping a new AI product at an early stage. 
• Freedom to architect solutions using the best tools for the job. 
• Collaboration with a multidisciplinary, innovation-driven team. 
• Flexible work arrangements and competitive compensation.

Bamboo Card is a leading e-gift card distribution agency, with an API and a commitment to
delivering seamless and innovative solutions to our clients. Join our growing team and be part
of a company that values excellence, collaboration, and continuous improvement.

About the Role:
We are looking for a hands-on Data / Analytics Engineer to design, build, and scale our data platform. This role will be responsible for building our data warehouse, developing ETL pipelines, creating Power BI dashboards, and leveraging AI-driven analytics to unlock business
insights and forecasting capabilities.

You will work closely with business, product, finance, and engineering teams to turn raw data
into actionable intelligence

Job requirements

• Bachelor’s degree in computer science, Data Engineering,       Information Systems, or a related technical field.
• Minimum of 6 years of hands-on experience in data engineering, ETL/ELT development, and data platform implementation.
• Strong experience with Power BI
• Strong SQL skills
• Experience building ETL pipelines
• Experience with AWS Redshift (or similar data warehouse:Snowflake, BigQuery)
• Knowledge of data modeling best practices
• Understanding of REST APIs and data integrations
• Experience using AI/ML tools for forecasting or analytics
• Familiarity with predictive modeling techniques
• Knowledge of statistical analysis

Nice to Have:
• Experience with AWS ecosystem (Aurora, RDS, Glue)
• Experience with Airflow or orchestration tools
• Knowledge of dbt
• Experience with financial or transactional datasets

You should also have:
• Strong analytical thinking
• Business-oriented mindset
• Ability to translate data into strategic recommendations
• Independent, proactive, and ownership-driven
• Strong communication skills

Job responsibilities

Business Intelligence & Reporting:
• Design and build interactive Power BI dashboards and reports
• Translate business requirements into data models and visual insights
• Maintain and optimize semantic models and data performance
• Ensure data accuracy, consistency, and usability

Data Engineering & ETL:
• Design, develop, and maintain scalable ETL/ELT pipelines
• Integrate data from multiple sources (APIs, databases, third-party systems)
• Implement data transformation and validation processes
• Automate data workflows and monitoring

Data Warehouse Architecture:
• Design and implement a modern data warehouse (AWS Redshift preferred)
• Define data models (star schema, dimensional modeling)
• Optimize performance and cost efficiency
• Ensure security and access control best practices

AI & Advanced Analytics
Utilize AI/ML tools for:
• Demand forecasting
• Trend analysis
• Anomaly detection
• Build predictive models to support business decisions
• Explore automation opportunities using AI-driven insights

Business Data Analysis
• Analyze operational and financial data to identify growth opportunities
• Provide insights on revenue, cost optimization, and performance trends
• Work proactively to uncover hidden patterns and strategic improvements

Job benefits

• Paid Time Off: Enjoy 15 working days of paid annual leave, accrued on a pro-rata basis, plus 7 days of paid sick leave, in line with UAE labor laws (applicable after probation).

• Growth & Learning: Get a USD 1,000 annual Professional Development allowance to invest in courses, certifications, or conferences, available after you complete your probation.

• Performance Bonus: We reward impact! Employees are eligible for a performance-based annual bonus, aligned with individual and company milestones.

We’re looking for an AI Systems Engineer with strong Python expertise to join a cross-functional team building RAG solutions and multi-agent systems.
You’ll take AI products from prototype to production: design pipelines, integrate LLMs, build scalable backends, and ensure reliability, security, and performance.

We value pragmatic thinking, production mindset, clean architecture, and the ability to own features end-to-end.

Expertise Required

• Strong proficiency in Python
• Commercial development experience 3+ years
• Proven experience bringing AI systems into production
• Hands-on experience with multi-agent systems
• Understanding of RAG architectures
• Ability to work across the stack (AI, backend, databases, basic frontend if needed)
• Experience designing and consuming APIs
• Familiarity with SQL and NoSQL databases
• Understanding of basic security and data protection principles

What You Will Do

• Design and build RAG pipelines and agent-based systems
• Ship AI solutions to production with monitoring, logging, and error handling
• Maintain and improve existing production AI services
• Integrate LLMs and external services
• Design and optimize databases, indexes, and queries
• Collaborate on backend logic and system architecture
• Write clean, maintainable code following best practices
• Diagnose, reproduce, and fix production issues
• Create and maintain technical documentation
• Participate in code reviews, planning, and architecture discussions
• Ensure performance, scalability, and data security

Will Be a Plus

• Experience with LangChain
• Production experience with RAG architectures
• Work in a product or platform team
• Experience with AWS or other cloud platforms
• Familiarity with vector databases

Technology Stack (indicative)

• Python
• LLM frameworks (e.g., LangChain)
• Vector databases (ElasticSearch, Pinecone, Qdrant)
• Backend / APIs (FastAPI)
• Databases (SQL / NoSQL)
• Cloud (AWS is a plus)

Benefits

• Work in a fast-paced, dynamic, and innovative AI-driven environment
• Opportunity to directly influence the company’s AI architecture and intelligent products that scale globally
• Access to modern tools, cutting-edge LLM technologies, and in-house expertise
• Flexible delivery approach and freedom to choose optimal technical and architectural solutions
• Performance-based bonus system for key contributors, tied to team results
• Energy support benefit for employees in Ukraine — USD 100/month after probation (power banks, charging stations, generators, inverters, etc.)
• Opportunity to visit the Warsaw office if you are nearby

Intro

ITSUA is a web development agency that builds a wide range of sites and web applications for clients worldwide. We are looking for a junior-level specialist to work directly with the manager on applied technical tasks within the company’s active projects.

Responsibilities

• Data collection, cleaning, normalization, and validation
• Writing SQL queries for data extraction and analysis
• Working with structured data (tables, CSV, JSON, APIs)
• Basic data analysis and report preparation
• Automation of data collection, cleaning, and analysis processes (scripts, pipelines, utilities)
• Research tasks: data discovery, source analysis, and exploration of tools
• Internal projects and processes automation

Recuirements

• Relational databases (solid SQL fundamentals; SELECT, JOIN, GROUP BY, filtering, etc.)
• Data workflows (ingestion, processing, output)
• Web technologies and APIs
• Python: basic/junior level (preferably pandas, working with data)
• Excel/GoogleSheets: formulas and careful data handling
• Attention to detail and accuracy, analytical and structured thinking
• General technical awareness and willingness to learn quickly
• English: B1 level or higher
• Active use of AI tools in daily work
• Interest in automation and process optimization
• Opportunity to grow towards data, automation, or engineering roles

Why ITSUA

• We work in small cross-functional squads without micromanagement
• Friendly environment with mentorship, professional growth, and English lessons
• Competitive salary

A leading Ukrainian research company, recognized internationally for advanced research in fine organic synthesis and the development of preparative methods for organic compounds (with applications in pharmaceuticals and biotechnology), is looking for a Business Analyst to strengthen the Odoo ERP implementation team.

Requirements:

• 1+ year of experience in CRM/ERP administration or implementation, or entry-level Business Analyst experience
• Strong analytical skills: requirements gathering, analysis, and solution design
• Excellent communication skills, ability to work with stakeholders at all organizational levels
• Understanding of system integrations and ability to prepare technical specifications
• Confident user of cloud services, Jira, Google Workspace, and MS Office
• Experience with Figma, Camunda, Miro, and similar tools
• Skills in process visualization and stakeholder presentations
• English level: Intermediate or higher
• Knowledge of BPMN, UML, and business process modeling approaches
• Understanding of the full business process lifecycle and change management
• Familiarity with different project methodologies

Responsibilities:

• Participation in ERP system implementation and ongoing support
• Continuous analysis and optimization of business processes through IT solutions
• Requirements gathering from management and staff
• BPMN process modeling, use case development, integration and functional documentation
• Solution design and preparation of technical tasks for ERP
• Documentation and formalization of company processes
• Functional decomposition and change request analysis
• Identifying improvement opportunities and proposing solutions
• Reporting on project progress and presenting prototypes and final solutions

We Offer:

• Military reservation (booking)
• Official employment and full social guarantees
• 8-hour working day
• Full equipment for efficient work
• Partial dental cost compensation (on-site clinic)
• Subsidized meals at the company cafeteria
• Shuttle service to/from Lisova metro station

About BotsCrew

BotsCrew helps companies transform how they work using AI. We design and deliver AI-powered solutions that solve real business problems — from automation and data analysis to entirely new AI products. You’ll join a team that moves fast, works on cutting-edge technology, and partners with global brands to make AI real.

Role Overview

We’re looking for a Business Analyst (Middle level) who is ready to take ownership of client-facing work at the intersection of business, product, and AI-driven solutions. In this role, you’ll work directly with US-based clients, founders, and delivery teams to understand business goals, define solution scope, and drive accounts from discovery through execution.

You will act as a key point of contact for assigned accounts, combining business analysis with elements of account management and product ownership. This role goes beyond documentation — you’ll influence decisions, align stakeholders, and help shape AI-powered products that deliver measurable business impact.

This role is ideal for someone who wants to grow into an Account Strategist position and take real responsibility for client success, not just execution support.

What You’ll Do

• Support Requirements Gathering
   
  • Lead and co-lead client interviews, discovery calls, and workshops to uncover business goals, constraints, and success metrics.
  • Analyze and structure business processes, pain points, and opportunities for AI-driven solutions.
  • Own the creation of user stories, process diagrams, functional requirements, and prioritization inputs.
     
• Collaborate with Founders & Teams
   
  • Act as a key communication bridge between clients, founders, and delivery teams.
  • Ensure business needs are clearly understood by technical teams.
  • Proactively identify gaps, risks, and misalignments and drive resolution. 
     
• Work with US Clients & New Business
   
  • Communicate directly with US-based clients, including enterprise and well-known brands.Take ownership of parts of the account relationship, including ongoing alignment, expectation management, and follow-ups.
  • Assist in tailoring AI solutions to specific industry and client needs.
     
• Contribute to AI Product Development
   
  • Research AI tools, frameworks, and market trends.
  • Help prepare feature specifications and test scenarios.
  • Support quality checks and collect feedback for improvement.
     

• Learn & Grow

   

  • Build skills in account ownership, product thinking, and AI solution design.
  • Learn to translate business challenges into AI-powered solutions.
     

What We’re Looking For

• Experience & Education:
   
  • 3+ years in business analysis, product,account management or tech-related roles.
  • Proven experience working on client-facing projects, including direct communication with external stakeholders.
  • Degree in business, technology, or a related field (or equivalent practical experience).
     
• Skills:
   
  • Fluent English is a must.
  • Strong business analysis and problem-structuring skills.
  • Experience working with cross-functional teams (engineering, product, delivery).
  • Strong communication and presentation abilities.
  • Curiosity about AI and digital products.
  • Highly organized, detail-oriented, and proactive.
  • Comfortable using tools like Google Docs, Excel, and ChatGPT.
     
• Mindset:
   
  • Ownership-driven: takes responsibility for outcomes, not just tasks.
  • Eager to learn and grow in a fast-paced, innovative environment.
  • Collaborative, open-minded, and adaptable, able to challenge ideas constructively.
  • Motivated to grow into account strategy and product ownership roles.
     

Why Join Us

• Work directly with founders on real AI projects.
• Collaborate with leading US brands on impactful AI digital transformation initiatives.
• Learn from industry experts in AI and product development.
• Be part of a team building technology that’s shaping the future.
• Flexible working hours and the option to work remotely.
• 20 working days of paid vacation plus 5 days of paid sickness
   

How to Apply

Please send your CV and a 60-second video in English introducing yourself and explaining why you’d like to join this role.

If you are a current student or alumnus of the Faculty of Applied Sciences at the Ukrainian Catholic University (UCU) or UCU Business School, you can fast-track your application by starting your video with “UCU”.

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities🌿
We care about Trust, Partnership, Transparency, and Responsibility. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback💜 If you want to work from home or work in the offices in Kyiv, Lviv or Warsaw with stable electricity and Wi-Fi , great — apply right now
 

Requirements:
● 3+ years of experience in building or integrating AI systems, data pipelines, or retrieval-based architectures.
● Strong Python skills and hands-on experience with modern AI frameworks and libraries.
● Experience with data preprocessing, transformation, indexing, and query optimization.
● Practical experience with Retrieval-Augmented Generation (RAG) pipelines — building retrievers, generators, and optimizing retrieval quality.
● Experience with SQL/NoSQL and at least one vector database (Pinecone, FAISS, Qdrant, or OpenSearch vector engine).
● Strong analytical and problem-solving skills, independence, and ability to work in agile environments.
 

Responsibilities:
● Design, build, and maintain AI systems focused on RAG pipelines — retrieval, context construction, and generation.
● Develop and optimize ETL/data pipelines for structured and unstructured data.
● Integrate AI services into production systems using REST APIs
● Contribute to technical documentation, planning, and estimation of AI-related tasks.
● Collaborate with backend and DevOps teams to ensure scalability, reliability, and efficiency of AI solutions.
 

Nice to have:
● Experience with AWS (S3, Lambda, ECS, Bedrock).
● Familiarity with RAG frameworks (LangChain, LlamaIndex) and retrieval/search techniques (semantic, hybrid, keyword).
● Contributions to open-source projects or participation in R&D initiatives related to AI or retrieval systems.
 

What will you get:
● Competitive salary and good compensation package;
● Exciting, challenging and stable startup projects with a modern stack;
● Corporate English course;
● Ability to practice English and communication skills through permanent interaction with clients from all over the world;
● Professional study compensation, online courses and certifications;
● Career development opportunity, semi-annual and annual salary review process;
● Necessary equipment to perform work tasks;
● VIP medical insurance or sports coverage;
● Informal and friendly atmosphere;
● The ability to focus on your work: a lack of bureaucracy and micromanagement;
● Flexible working hours (start your day between 8:00 and 11:30);
● Team buildings, corporate events;
● Paid vacation (18 working days) and sick leaves;
● Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi ( Generator & Starlink);
● Compensation for coworking (except for employees from Kyiv and Lviv);
● Corporate lunch + soft skills clubs;
● Unlimited work from home from anywhere in the world (remote);
● Geniusee has its own charity fund.

Professional skills:
 ⁃ Experience in iGaming
 ⁃ Experience in building reports in iGaming
 ⁃ SQL experience of 2+ years
 ⁃ Tableau experience of 1+ year
 ⁃ Creation of aggregates

Areas of Responsibility:
 ⁃ Integrations brands into DB
 ⁃ Aggregate external data sources into database schema
 ⁃ Validate data with external reports
 ⁃ Build reports for various departments within the company
 ⁃ Develop logic to distinguish metrics between VIP and casual players
 ⁃ Create notifications for key performance metrics
 ⁃ Optimize predictive models
 ⁃ Identify reasons for changes in key metrics
 ⁃ Find ways to improve key metrics
 ⁃ Create and optimize reports in Tableau and Google Spreadsheets.
 ⁃  Support data integration with Google Spreadsheets

We offer:

- Remote work from anywhere in the world (Mon-Fri from 09:00 to 18:00 Kyiv time)

- Creative and dynamic environment

- The possibility of rapid career growth (companies at the stage of active growth are an ideal place for a rapid take-off)

- The minimum amount of bureaucracy, complete freedom, if it leads to it

- Work with the international market and the main focus on Europe; profit

- We compensate: advanced training courses, foreign language courses, etc.

- Paid vacation and sick leave

- Team building

Company Description

Are you an experienced Data Engineer ready to tackle complex, high-load, and data-intensive systems? We are looking for a Senior professional to join our team in Ukraine, Europe, working full-time on a project that will make a real impact in the public sector.

At Sigma Software, we specialize in delivering innovative solutions for enterprise clients and public organizations. In this role, you will contribute to building an integrated platform that collects, processes, and visualizes critical indicators, enabling better decision-making and analytics.

Why join us? You will work with a modern big data stack, have end-to-end involvement from ingestion to machine learning workflows, and be part of a professional team that values ownership, collaboration, and continuous improvement.

PROJECT
You will be involved in developing an integrated platform that processes both batch and streaming data, ensures secure and governed data environments, and supports advanced analytics and machine learning workflows. The solution will leverage modern big data technologies to provide actionable insights for the public sector.

Job Description

• Design and implement data ingestion pipelines for batch and streaming data
• Configure and maintain data orchestration workflows (Airflow, NiFi) and CI/CD automation for data processes
• Design and organize data layers within Data Lake architecture (HDFS, Iceberg, S3)
• Build and maintain secure and governed data environments using Apache Ranger, Atlas, and SDX
• Develop SQL queries and optimize performance for analytical workloads in Hive/Impala
• Collaborate on data modeling for analytics and BI, ensuring clean schemas and dimensional models
• Support machine learning workflows using Spark MLlib or Cloudera Machine Learning (CML)

Qualifications

• Proven experience in building and maintaining large-scale data pipelines (batch and streaming)
• Strong knowledge of data engineering fundamentals: ETL/ELT, data governance, data warehousing, Medallion architecture
• Strong SQL skills for Data Warehouse data serving
• Minimum 3 years of experience in Python or Scala for data processing
• Hands-on experience with Apache Spark, Kafka, Airflow, and distributed systems optimization
• Experience with Apache Ranger and Atlas for security and metadata management
• Upper-Intermediate English proficiency

WILL BE A PLUS

• Experience with Cloudera Data Platform (CDP)
• Advanced SQL skills and Hive/Impala query optimization
• BS in Computer Science or related field
• Exposure to ML frameworks and predictive modeling

PERSONAL PROFILE

• Ownership mindset and proactive approach
• Ability to drive initiatives forward and suggest improvements
• Team player with shared responsibility for delivery speed, efficiency, and quality
• Excellent written and verbal communication skills