Jobs Data & Analytics

We are looking for an AI/ML Engineer (LLM and Autonomous Systems Specialist) to help us deliver an ambitious new project - the development and training of intelligent behavioral models for autonomous platforms capable of operating and making decisions without constant network connectivity.

The project lies at the intersection of artificial intelligence, machine learning, simulation, and robotics.

Its goal is to create a system where AI not only reacts but also understands context and adapts to its environment.

We are a technology-driven FinTech company that has gone far beyond traditional financial services - actively expanding R&D directions related to autonomous systems, model training, and next-generation agent architectures.

If you’re ready to build technologies at the intersection of AI, machine learning, and autonomous systems - welcome to the team!

Responsibilities:

• Train AI models that analyze sensor data and make autonomous decisions (Behavioral Cloning, Reinforcement Learning).
• Work with virtual simulation environments that create scenarios for reinforcement learning.
• Configure and optimize algorithms for computer vision and navigation — obstacle detection, route planning, spatial orientation.
• Transfer trained models from simulation to real devices and adapt them to limited hardware resources.
• Develop and test behavioral strategies for operation under weak or no connectivity.

Requirements:

• Strong experience with Python, PyTorch, and/or TensorFlow.
• Deep understanding of CNNs, RNNs, Transformers, and LLM fine-tuning techniques (LoRA, PEFT).
• Experience with LLM serving frameworks such as vLLM, Ollama.
• Simulation & Training: The AI model is initially trained in a virtual environment using cloud platforms.
• Computing Power: A separate high-performance computer.

Nice to have: 
 

• Work with simulation environments (AirSim, CARLA, Isaac Sim) for synthetic data generation and model validation.
• Data Handling: MongoDB is used as a local onboard database to store instructions and sensor data. 
• Hardware Integration: A Raspberry Pi acts as the intermediary, receiving AI commands and relaying them to the controller (e.g., Jetson, Pixhawk). 

What We Offer: 

• Competitive salary and performance-based bonuses.
• Opportunity to work on cutting-edge AI + blockchain projects.
• Flexible working hours and remote work options.
• Professional development, training, and access to AI & blockchain research resources.
• A collaborative and innovative work environment. 

Join us and help shape the future of AI-driven blockchain automation!

On behalf of our Client from Bulgaria, Mobilunity is looking for an AI Engineer.

Our Client is a leading software development company. The team excels in web and mobile software development, video streaming, defense, machine learning, automotive, e-commerce, and AI. 
They leverage top-tier technologies and expertise driven by a passion for innovation to drive progress.

Requirements:

• Extensive experience in AI/ML, deep learning, and cloud-based AI services (AWS, Azure, or Google Cloud).
• Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain,and Hugging Face.
• Strong programming skills in Python or similar.
• Excellent proficiency with traditional SQL and big data technologies such as Apache, Spark, Hadoop, and distributed computing frameworks.
• Ability to analyze large datasets and derive business insights using BI tools like Tableau, Power BI, or similar.
• Experience with MLOps practices, including model deployment, monitoring, and CI/CD for AI workflows.

• Hands-on experience with APIs, microservices, and AI-driven automation solutions.

  
  Responsibilities:

• Design and implement cutting-edge AI-driven solutions leveraging the full spectrum of approaches from traditional ML learning to using LLMs.
• Work closely with data scientists, ML engineers, and software developers to ensure the successful deployment of AI models and applications.
• Stay updated on emerging AI technologies and industry best practices to provide innovative and forward-thinking recommendations to clients.
• Provide technical guidance on AI model lifecycle management, including training, tuning, monitoring, and optimization.
• Ensure AI solutions are scalable, secure, and compliant with industry regulations and best practices.
• Act as a trusted advisor to clients, helping them navigate AI adoption challenges and maximizing the impact of AI in their operations.
• Develop technical documentation, including solution architectures, white-papers , and best practice guides.
  
  Competencies:
• Experience in digital transformation, business process optimization, or AI strategy consulting.
• Knowledge of AI ethics, bias mitigation, and regulatory compliance in AI adoption.
• Excellent communication and presentation skills, capable of articulating complex AI concepts to non-technical stakeholders.
• Strong problem-solving and analytical skills, with the ability to design tailored AI solutions for diverse business challenges.
• Excellent familiarity with the SDLC and project management methodologies and tools (e.g. Jira, Confluence, etc.)
• Passion for innovation and continuous learning in the field of AI and emerging technologies.
• Ability to handle multiple client engagements and prioritize tasks in a fast-paced environment.

In return we offer

• The friendliest community of like-minded IT-people.
• Open knowledge-sharing environment – exclusive access to a rich pool of colleagues willing to share their endless insights into the broadest variety of modern technologies.
• Mobilunity Medical Insurance program designed to attend our teams’ needs.
• Paid vacations and sick leaves, including 5 paid days per year that don’t require a sick note.
• Perfect office location in the city-center (900m from Lukyanivska metro station with a green and spacious neighborhood) or remote mode engagement: you can choose a convenient one for you, with a possibility to fit together both.
• No open-spaces setup – separate rooms for every team’s comfort and multiple lounge and gaming zones.
• English classes in 1-to-1 & group modes with elements of gamification.
• Neverending fun: sports events, tournaments, music band, multiple affinity groups.

Come on board, and let's grow together!

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Computer Vision / Machine Learning Engineer to develop offline CV models for industrial visual inspection.

Your main task will be to design, train, and evaluate models on inspection data in order to:

• Improve discrimination between good vs. defect samples
• Provide insights into key defect categories (e.g., terminal electrode irregularities, surface chipping)
• Significantly reduce false-positive rates, optimizing for either precision, or recall
• Prepare the solution for future deployment, scaling, and maintenance
•  

Key Responsibilities:
Data Analysis & Preparation
- Conduct dataset audits, including class balance checks and sample quality reviews
- Identify low-frequency defect classes and outliers
- Design and implement augmentation strategies for rare defects and edge cases
Model Development & Evaluation
- Train deep-learning models on inspection images for defect detection
- Use modern computer vision / deep learning frameworks (e.g., PyTorch, TensorFlow)
- Evaluate models using confusion matrices, ROC curves, precision–recall curves, F1 scores and other relevant metrics
- Analyze false positives/false negatives and propose thresholds or model improvements
Reporting & Communication
- Prepare clear offline performance reports and model evaluation summaries
- Explain classifier decisions, limitations, and reliability in simple, non-technical language when needed
- Provide recommendations for scalable deployment in later phases (e.g., edge / on-prem inference, integration patterns)

Candidate Requirements:
Must-have:
- 1-2 years of hands-on experience with computer vision and deep learning (classification, detection, or segmentation)
- Strong proficiency in Python and at least one major DL framework (PyTorch or TensorFlow/Keras)
- Solid understanding of:

• Image preprocessing and augmentation techniques
• Classification metrics: accuracy, precision, recall, F1, confusion matrix, ROC, PR curves
• Handling imbalanced datasets and low-frequency classes

- Experience training and evaluating offline models on real production or near-production datasets
- Ability to structure and document experiments, compare baselines, and justify design decisions
- Strong analytical and problem-solving skills; attention to detail in data quality and labelling
- Good communication skills in English (written and spoken) to interact with internal and client stakeholders

Nice-to-have:
- Experience with industrial / manufacturing computer vision (AOI, quality inspection, defect detection, etc.)
- Familiarity with ML Ops/deployment concepts (ONNX, TensorRT, Docker, REST APIs, edge devices)
- Experience working with time-critical or high-throughput inspection systems
- Background in electronics, semiconductors, or similar domains is an advantage
- Experience preparing client-facing reports and presenting technical results to non-ML audiences

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- 40 days of PTO;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

We are looking for an experienced Business Analyst to join our team and work on innovative digital products across international markets.

We are particularly interested in candidates with experience in relevant industries such as FinTech, Healthcare, and iGaming.

Responsibilities:

⦁ Conduct meetings with clients
⦁ Identify, collect, and document business and functional requirements
⦁ Prepare detailed design and project documentation for development
⦁ Collaborate closely with development and design teams to implement client solutions
⦁ Monitor project timelines and ensure quality delivery

Required Skill Set:

⦁ 3+ years of experience as a Business Analyst in a tech company
⦁ Hands-on experience in requirements gathering (discovery sessions, scoping calls, document analysis, etc.)
⦁ Strong knowledge of Business Analysis theory, Scrum, and Agile methodologies
⦁ Experience working with Confluence (administration level)
⦁ Strong client communication and stakeholder management skills
⦁ Basic technical knowledge and understanding of SDLC
⦁ Ability to effectively communicate with developers and designers
⦁ English level: Upper-Intermediate or higher
⦁ Strong analytical thinking, problem-solving skills, attention to detail, and time management

What We Offer:
• Fully remote
• 21 paid vacation days + 3 paid sick leave days
• Working schedule: 9:00–18:00 or 10:00–19:00 (Kyiv time)
• Cooperation format: Ukrainian FOP or European B2B contract

We are an international developer of IT products for medicine and related services. Our products are used by more than 5,000 doctors and more than 1,000 clinics in Europe.

The goal is to attract the largest possible audience to the main projects - clinics and doctors up to 3 million. As well as expanding unique traffic to 10 million per day until 2025. We are looking for AI Engineer / AI Architect with deep knowledge of Fundamental Mathematics, Probability Theory and Bayesian Statistics, Graph Algorithms, Mathematics of Transformers, Hybrid AI Approaches, Uncertainty Assessment.

Must-have skills are:
1. ML and Data Science (Core):
- Expert in NLP & LLM: Deep understanding of Transformers architecture (BERT, RoBERTa, GPT, T5, Llama/Mistral). Experience with Large Language Models (LLM) – not prompt engineering, but fine-tuning (PEFT, LoRA) of open-source models on specific datasets.
- RAG (Retrieval-Augmented Generation): Experience building RAG systems is required. The AI ​​must be able to search for information in different data sources.
- Named Entity Recognition (NER) & Information Extraction: Ability to extract specific entities from unstructured text.
- Tabular Data & Classic ML: Confident use of classical algorithms (XGBoost, CatBoost, LightGBM) for analyzing structured data and building probability scoring models.
- Frameworks: PyTorch (preferred) or TensorFlow/Keras. Proficiency in HuggingFace, Scikit-learn, Pandas, and NumPy.

2. MLOps:
- Experience wrapping models in APIs (FastAPI, Flask) with minimal latency. 

- Docker knowledge and experience working with local GPU instances are required.
- Experience working with vector databases (Pinecone, Milvus, Qdrant, ChromaDB) for quickly searching for similar cases or working with knowledge bases.

- ML Pipelines: Experience building model training and retraining pipelines (Airflow, MLflow, DVC).

3. MedTech and Security:
- Practical working experience with sensitive personal data and GDPR/DSGVO requirements.

- It is important to be able to deploy and optimize local models (Llama 3, Mistral, Mixtral) within a closed company environment to ensure data privacy.
- Skills in quantization and distillation of models to speed up work without significant loss of quality.

Nice-to-have skills:
- Experience working specifically with medical data (EHR, EMR; HL7, FHIR, ICD-10/11 standards). 

- Knowledge of Interpretability/Explainable AI (XAI) methods. The end user should understand why the AI ​​suggested a particular option (SHAP, LIME).

- Experience with multimodal models.

What we offer:
- Paid holiday for 28 working days.
- Transparent incentive system.

Working with us means:
- Unique technological and innovative projects.
- Gaining experience in modern western world practices in security, scalable architecture, etc.
- In-depth knowledge of telemedicine.
- Working with Big data, high load, distributed computing and data buses.
- Socially important projects.
- Opportunity to influence both technology and product solutions.
- Profitability and stability of a large European company.

Ready to level up your career?

Playtech's Live unit is looking for an experienced Data Engineer with great communication and creative skills.

Job Description

Your influential mission. You will...

• Design, implement and support ETL/ELT processes to move and transform data between various systems
• Contribute to the development of the analytics platform
• Collaborate with software engineers, business analysts, and other stakeholders to translate requirements into effective data solutions
• Implement and support ad-hoc data extraction requests and business reporting
• Extract and transform raw data to structured data marts

Qualifications

Components for success. You...

• Have an understanding of data lake/DWH architecture, OLAP/OLTP
• Have experience with Airflow or similar orchestrators
• Have strong understanding of RDBMS, with proven proficiency in SQL, data modeling, and performance tuning for OLAP/OLTP systems
• Have practical knowledge of Python (1–2 years)

You'll get extra points for...

• Computer science degree
• Practical experience with reporting and analytics tools such as Superset, Tableau, Power BI, etc
• Knowledge of streaming platforms and tools like Kafka, Kafka-Connect, Kafka-Mirror
• Understanding of database replication, clustering, and distributed systems
• Experience working with large volumes of data and databases
• Experience with monitoring, quality control, and data validation

Thrive in a culture that values...   

• Possibility to work with a product company
• Personalised professional growth
• Warm and friendly attitude to every specialist
• Educational possibilities
• Competitive salary and benefits
• Medical insurance
• Fully-equipped cosy office space located in the city centre (Gulliver, “Palats Sportu” metro station)
• Paid vacation days, sick leaves and national holidays
• Corporate events and team buildings

LIVE TEAM

Hi, we are a live casino, and we invite you to join us!

Our team consists of highly skilled professionals who are focused on high product quality and short feedback cycles. 
With us, you will be able to contribute to our product, make architectural and technical decisions, and grow as a specialist in your main field of expertise as well as in related areas. 

Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.

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.

N-iX is looking for a Middle Data Analyst (with dbt) experience to join our team. As a Data Analyst you will collaborate with the analytics and data engineering teams to provide the stakeholders with clean and organized data that will be used throughout the organization. You will spend time transforming, testing, deploying, and documenting data.

Responsibilities:

• Work with our current data stack: Snowflake, dbt, Tableau, Github, Fivetran, Hex (also Google Suite & Slack).
• Collaborate with teams from the Data Engineering, Analytics, Finance, and Accounting departments to establish and maintain consistent use of business definitions in a source of truth tables, and recommend continuous improvement strategies.
• Provide clean data sets to end users, modeling data in a way that empowers end users to answer their questions.
• Transform, test, deploy, and document data using version control and continuous integration to the analytics code base.
• Design, develop, test, automate, and launch new dashboards and reporting solutions across the company.
• Maintain and support existing metrics, KPIs, reports, and dashboards.
• Work with the Analytics and Engineering teams to understand existing internal tools and data warehouses, identify data quality and reliability improvements, and establish best practices.
• Train and provide technical mentorship to other data analysts
• Be able to explain technical work to non-technical audiences and translate business logic from stakeholders to technical work
• Be able to cover working hours 4:00 - 3:00 PM – 00:00- 1:00 AM Kyiv time

Requirements:

• 3+ years of experience in Data Analytics.
• 1+ years of experience with dbt
• Advanced SQL skills with extensive hands-on experience.
• Familiarity with Tableau or other BI tools.
• Experience with Python.
• Previous experience with version control and continuous integration to a code base.
• Adaptable and able to thrive in a fast-paced, dynamic work setting.
• Strong organizational skills with keen attention to detail.
• Excellent communication and interpersonal skills.
• English - Upper intermediate +

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 us

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics and banking.

Since its inception in 1997, Fozzy Group has focused on making innovative business improvements, creating new opportunities for the market, and further developing the industry as a whole.
 

Job Description:

Silpo E-Commerce Analytics Tribe is looking for Data Analyst to help us with the implementation of the advanced analytical systems for the rapid growth of the food delivery business. We are expanding our Data Analytics capabilities across multiple domains — Marketing, Product, Commercial, and Operational. As a Data Analyst, you can join a dedicated analytics team supporting one of those domains:

• Operational Analytics — empowering food delivery operations with real-time insights and performance tracking, building optimization solutions to improve operational efficiency;
• Product & Marketing Analytics — optimizing digital product performance, user behavior, campaign effectiveness, customer acquisition, and churn prevention;
• Commercial Analytics — supporting assortment strategy, pricing optimization, and promotional performance analysis.

You can choose your preferred area of work or be assigned to a team based on your expertise and background.
 

Job Responsibilities

• Analyze data on products, services, and business functions to forecast performance, provide actionable insights and recommendations for product management and business growth;
• Extensively utilize SQL and dbt (Data Build Tool) to design, develop, and optimize data models within our high-volume data platform, effectively managing and processing multi-billion-row datasets.
• Develop professional dashboards and define key metrics;
• Conduct A/B tests to identify hidden effects on food delivery consumer behavior, growth drivers & profitability metrics;
• Create reports and presentations for top & senior management;
• Work closely with Business Stakeholders, Product Owners, Business Analysts, and Data Engineers throughout the entire project lifecycle.
   

Requirements

• Bachelor’s Degree in Mathematics / Quantitative Economics / Econometrics / Statistics / Computer Sciences / Finance;
• At least 2 years of working experience in Data & Analytics roles;
• Strong mathematical background in Statistics, Probability, Linear algebra, and Optimization Techniques;
• Experience in writing advanced SQL queries, handling structured and unstructured data, data wrangling, data visualization, and predictive modeling;
• Understanding of data warehousing concepts and data modeling techniques;
• Willingness to learn, curiosity, professionalism, dedication, and ability to work under pressure in a fast-paced environment.
   

Skills

Must Have

• Proficiency with BI Tools (Power BI, Looker, Tableau)
• SQL (Window & Analytic functions, Nested Queries);
• Skills in Advanced Regression Modeling, Multivariate Analysis, Time Series Analysis, and application of Statistical Concepts (Hypothesis testing, A/B tests, Factor analysis / PCA).
   

Preferred

• Python (at least numpy, pandas, sklearn);
• Experience with dbt (data build tool) for data modeling and transformation;
• Experience with A/B testing;
• Background in leveraging machine learning to optimize A/B testing through adaptive experiments, user segmentation, and predictive analytics;
• Basic knowledge of ML techniques and their application in analytics.
   

What We Offer

• Competitive salary;
• Professional & personal development opportunities;
• Being part of a dynamic team of young & ambitious professionals;
• Corporate discounts for sports clubs and language courses;
• Medical insurance package.

Readdle is a pioneering force in the personal productivity space on Apple devices, having shaped the landscape since 2007. Our mission is to empower individuals and teams with innovative technology, enhancing their efficiency and creativity. We are dedicated to crafting exceptional mobile and desktop experiences for those who aspire to achieve more.
 

As a Senior Growth Analyst at Readdle, you’ll own the numbers behind how Spark grows. From the first ad impression to long-term renewals, you’ll make sense of the data, design event structures, and ensure everything is measurable. You’ll dig into funnels, uncover insights, and build dashboards that make growth performance crystal clear for product and marketing teams.

What will you do:

• Transform and analyze large datasets in BigQuery and Amplitude to uncover trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve dashboards in Tableau and Google Sheets that reduce ad-hoc reporting requests and establish a clear source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design and monitor A/B experiments and feature launches; validate results and ensure long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with Appsflyer to track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience supporting pricing, monetization, or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau and/or Amplitude for dashboards and complex data visualization.
• Experience with Appsflyer or other attribution platforms; familiarity with Python for data analysis and automation is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), statistics, A/B testing, and concepts like segmentation, churn, or LTV modeling.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Comfortable working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.

We are an iGaming company with more than three years of experience and a team of 1000+ specialists.

Our achievements include 8 large projects that are popular among our customers and successfully operate in Tier 1-3 locations.

The company attracts and values highly qualified specialists, which allows us to build processes efficiently and successfully expand our presence in new locations

Responsibilities:

• Ensuring stable email deliverability: The Senior Email Deliverability Specialist is responsible for ensuring company emails reach the target audience's inbox with the highest possible engagement rates. This involves analyzing infrastructure, managing domain and IP reputations, and implementing long-term deliverability strategies.
• Advanced diagnostics and strategic analysis: The role requires a thorough audit of technical aspects like SPF, DKIM, DMARC, DNS configurations, and blacklist monitoring.
• Sender reputation management: Proactively manage the organization’s sender reputation to prevent blacklisting and minimize spam complaints.
• Collaboration with marketing teams: Align email strategies with marketing goals and best deliverability practices to increase email efficiency and scale.
• Compliance with email regulations: Stay updated on email regulations (e.g., GDPR) to ensure all campaigns comply with legal and provider standards.
• Analysis and reporting: Regularly analyze delivery performance and provide actionable insights for improving engagement and efficiency.

Key Skills and Experience:

• Minimum of 1-2 years of experience in email marketing or deliverability.
• Proven track record of improving email deliverability metrics.
• Proficiency in CRM platforms (Customer.IO, Sendgrid) and analytics tools (PowerBI, LookerStudio).
• Practical experience with warm-up tools (Folderly, Warmy) and deliverability testing tools.
• Strong knowledge of SPF, DKIM, DMARC, and email infrastructure.

About us:

EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide.

But that's not all! We're not just about numbers, we're about people. With a team of over 1000 passionate individuals spread across twelve countries in Europe, Asia, and the US, we're all united by our love for innovation and teamwork.

EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.
 

We are looking for a passionate and dedicated Trainee/Junior BI/DB Developer to join our team in Lviv!
 

What You'll get to do:

• Data Processing: Develop real-time data processing and aggregations.
• Data Warehousing: Create and modify data marts to enhance the data warehouse.
• Integrations: Manage both internal and external integrations.
• Reporting: Build and maintain various types of reports to support business decisions.

Our main stack:

Databases: BigQuery, PostgreSQL, SQL

1. ETL: Apache Airflow, Apache NiFi
2. Streaming: Apache Kafka
   
   What You need to know:

• Education: Bachelor’s or Master’s degree in a STEM field.
• Fundamentals: Solid understanding of Computer Science (Software Engineering, Algorithms, Operating Systems, Networking, etc.).
• RDBMS Mastery: Strong knowledge of at least one RDBMS (PostgreSQL, MSSQL, Oracle, MySQL), specifically:
  • Database internals
  • Query optimization
  • Indexing
  • Partitioning
• Data Engineering Experience: * Practical experience with ETL/ELT processes.
  • Experience in creating or supporting Data Warehouses.
  • Hands-on experience with at least one enterprise Business Intelligence (BI) platform.
• Language: English proficiency at an Intermediate level or higher (reading, writing, speaking).
  
  Nice to have:
• Cloud Warehousing: Knowledge of Google BigQuery, Azure Synapse Analytics, AWS Redshift, or Snowflake.
• Coding: Programming skills in Python or Java.
• Tooling: Experience with Apache Airflow and Apache NiFi.

Here's what we offer:

• Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us.
• 3 sick leave days per year, no doctor's note required; 30 medical leave days with medical allowance
• Hybrid work schedule is available after the first three months of employment, with up to 50 days of work from home per year.
• Benefit from two Free Fridays each year, limited to one per quarter.
• Daily catered lunch or monthly lunch allowance. 
• Private Medical Subscription. 
• Access online learning platforms like Udemy for Business, LinkedIn Learning or O’Reilly, and a budget for external training.
• Gym allowance.
• Corporate English lessons.
• Support for New Parents:
• 21 weeks of paid maternity leave, with the flexibility to work from home full-time until your child turns 1 year old.
• 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old.

Our office perks include on-site massages and frequent team-building activities in various locations.

At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!

We are looking for a Power BI / Power Apps Engineer to join an existing enterprise Data Warehouse support programme for a large, global energy company operating in the renewable and low-carbon energy sector.

The role is focused on delivery, optimisation, and operational stability of reporting and low-code solutions within an established enterprise data ecosystem.

Who are we looking for?

● 4+ years of experience in BI / reporting roles.

● Strong hands-on experience with Power BI: report and dashboard development, semantic models/datasets, performance optimisation, data modelling within Power BI.

● Experience with Power Apps

● Experience working in BAU or support environments with SLAs

● Solid understanding of data flows and collaboration with Data Engineering teams

● Experience resolving reporting and application incidents

● Ability to optimise performance, usability, and consistency

● Experience with unit testing and validation of reports/apps

● Experience in effort estimation and delivery planning

● Strong UI/UX awareness within Power BI and Power Apps

● Willingness to travel occasionally for business trips to the UK.

● Strong communication skills and ability to work closely with both technical and business stakeholders.

● Excellent proficiency in both verbal and written English communication skills.

We offer:

● А place with friendly environment where you can reach your full potential and grow your career

● Flexible work schedules

● Work from home

● Social package: paid sick leave and vacation

● English courses, medical insurance, legal support, etc.

As a Power BI / Power Apps Engineer, you will:

● Develop and enhance Power BI reports, dashboards, and semantic models.

● Build and support Power Apps solutions within the agreed functional scope.

● Investigate and resolve reporting and application incidents under SLA.

● Perform impact analysis and technical validation for requested changes.

● Optimise report performance, usability, and visual consistency.

● Apply agreed design and development standards.

● Produce required artefacts and maintain documentation.

● Build wireframes and collaborate with stakeholders on the reporting structure.

● Conduct unit testing and validation before release.

● Collaborate closely with Data Engineers to ensure data suitability and reliability.

● Deliver approved service requests and enhancements in line with Agile methodology.

Our client is a global energy company focused on renewable power generation and low-carbon energy solutions. Operating across multiple regions, the company develops, builds, and operates large-scale energy assets, including wind, solar, and hybrid power projects. The company works in a highly regulated environment, where data accuracy, traceability, and reliability are essential

Dataforest is looking for a Middle Data Engineer to join our team and work on the Dropship project — a cutting-edge data intelligence platform for e-commerce analytics.
You will be responsible for developing and maintaining a scalable data architecture that powers large-scale data collection, processing, analysis, and integrations.

If you are passionate about data optimization, system performance, and architecture, we’re waiting for your CV!
 

     Requirements:

• 2+ years of commercial experience with Python.
• Advanced experience with SQL DBs (optimisations, monitoring, etc.);
• PostgreSQL — must have;
• Solid understanding of ETL principles (architecture/ monitoring/ alerting/search and resolve bottlenecks);
• Experience with Message brokers: Kafka/ Redis;
• Experience with Pandas;
• Familiar with AWS infrastructure (boto3, S3 buckets, etc);
• Experience working with large volumes of data;
• Understanding the principles of medallion architecture.
   

     Will Be a Plus:

• Understanding noSQL DBs (Elastic);
• TimeScaleDB;
• PySpark;
• Experience with e-commerce or fin-tech.
   

     Key Responsibilities:

• Develop and maintain a robust and scalable data processing architecture using Python.
• Design, optimize, and monitor data pipelines using Kafka and AWS SQS.
• Implement and optimize ETL processes for various data sources.
• Manage and optimize SQL and NoSQL databases (PostgreSQL, TimeScaleDB, Elasticsearch).
• Work with AWS infrastructure to ensure reliability, scalability, and cost efficiency.

• Proactively identify bottlenecks and suggest technical improvements.
   

  We offer:

• Working in a fast growing company;
• Great networking opportunities with international clients, challenging tasks;
• 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.

Our client is a financial technology services provider dedicated to expanding global access to digital assets by building innovative solutions in the cryptocurrency ecosystem. Their products provide exchanges, liquidity solutions, and enterprise-grade integrations for clients worldwide. We are looking for a skilled Python/Data Analyst to help us translate complex financial and blockchain data into actionable insights and high-performance solutions.

In this role, you will be a core member of our engineering team, solving complex technical puzzles and building robust data models in a fast-paced environment.

What You'll Do

You will be a key builder in our data lifecycle, applying your technical expertise to optimize our core products. Your main responsibilities will include:

• Data Analysis & Modeling: Develop and maintain data pipelines and analytical models for our exchange and liquidity platforms using Python.
• Insight Generation: Translate complex financial concepts and large datasets into intuitive reports and actionable business insights.
• Collaboration: Work closely with product owners, backend engineers, and stakeholders to translate requirements into fully functional, enterprise-grade data solutions.
• Performance & Optimization: Optimize data queries and processing scripts for maximum performance and scalability, paying close attention to real-time crypto interfaces.
• Quality Standards: Write clean, testable, and efficient Python code, actively participating in code reviews and sprint planning.

Your AI & Automation Advantage

We believe AI is a powerful co-pilot for modern development. We’re looking for someone eager to use AI to supercharge their data analysis, automate repetitive tasks, and stay ahead of the curve.

Who You Are

You are a proactive, detail-oriented, and adaptable analyst who thrives in a fast-paced environment. You are:

• A Clear Communicator: You can effectively articulate complex technical decisions and data findings to both technical teammates and non-technical stakeholders.
• A Problem-Solver: You are self-motivated, resilient, and have strong critical thinking skills to tackle complex technical puzzles.
• A Tech Enthusiast: You have a curious mindset with a strong interest in (or passion for) blockchain, cryptocurrency, and financial technology.
• A Team Player: You value collaboration and feedback, contributing positively to the team's shared goals and engineering culture.

Qualifications

• English: Upper-Intermediate level or higher (both written and spoken).
• Experience: 3+ years of professional experience in data analysis or software development, with a strong focus on Python.
• Core Technical Skills:
  • Proficiency in Python and its data libraries (e.g., Pandas, NumPy).
  • Strong experience with SQL and managing complex databases.
  • Familiarity with RESTful APIs and real-time data communication (e.g., WebSockets).
  • Proficient with Git version control and collaborative workflows.
• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field (or equivalent practical experience).

We Offer

• Flexibility & Location: Offices in Ukraine and Poland (Wroclaw) with flexible working hours.
• Health & Wellness: Medical Insurance in Ukraine and Multisport program in Poland.
• Time Off: Paid vacation, sick leaves, and all official holidays.
• Professional Development: English classes up to three times a week, plus mentoring and educational programs.
• Support: Tax and accounting services for Ukrainian contractors.
• Equipment: The company provides all necessary high-end equipment.
• Culture: Regular corporate activities, including corporate parties, tech events, and an advanced bonus system.

Our Customer:

Our customer is a global, data-driven digital advertising technology company operating at large scale across mobile apps and web platforms.

Your Tasks:

• Analyze large, complex datasets to uncover patterns, insights, and business opportunities;
• Design, build, and own scalable, end-to-end data pipelines;
• Develop and productionize advanced machine learning models and algorithms, particularly in monetization-related domains;
• Build and maintain data models for real-time (online) processing;
• Contribute to the creation of new data-driven products and continuously improve existing ones;
• Collaborate with Product, BI, Analytics, DevOps, R&D, and Marketing teams to deliver complete solutions;
• Lead full production releases, including requirements analysis, testing, monitoring, result evaluation, and rapid response to critical issues.

Required Experience and Skills:

• 6+ years of experience as a Data Scientist with a strong foundation in machine learning concepts and models;
• Previous experience in the Ad-Tech industry;
• Hands-on experience working on large-scale, high-load systems processing billions of requests per second;
• Hands-on experience with Python including writing production-ready code and working with modern Python frameworks and tooling;
• Experience with data science / ML libraries and models, such as regression and classification models (e.g. XGBoost, LightGBM), recommendation systems, and related ML techniques;
• Solid understanding of databases and SQL for data analysis and retrieval;
• Experience with monitoring and alerting tools such as Grafana and Kibana;
• Proven experience working in real-time / online environments;
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field;
• Strong end-to-end ownership mindset: ability to take solutions from research and experimentation through implementation and production;
• Fluent English with strong communication and collaboration skills.

Would Be a Plus:

• Familiarity with the programmatic advertising ecosystem (DSPs, SSPs, ad exchanges);
• Experience with relational databases (e.g. Vertica, VoltDB) and non-relational databases (e.g. MongoDB);
• Experience working with PMML.

Working conditions

• 5-day working week, 8-hour working day;
• Remote work.