Jobs Data & Analytics

Our team is seeking a Data Solution Architect to further strengthen our capabilities.

Responsibilities

• Work closely with business in identifying solution requirements and key case-studies/scenarios to architect Data solution
• Participate in Data and Big Data initiatives on a company level
• Design Data analytics solutions by utilizing the Data technology stack with Big Data techniques
• Conduct solution architecture review/audit, calculate and present ROI
• Create and present solution architecture documents with deep technical details to customer and implementation teams
• Participate in specific “pre-sale” activities related to available experience and practice in order to prepare technical proposals on customer requests
• Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
• Maintain a strong understanding of technical solutions and architecture design trends and best practices, stay on cutting edge of Data technologies
• Constantly grow expertise by gathering and monitoring available EPAM project experience and ongoing projects with clients from different business domains to drive further EPAM business in Data field
• Create and follow personal education plan in the technology stack and solution architecture
• Share experience, knowledge and vision with EPAM, colleagues and customer teams. Participate in seminars, meet ups, mentoring, training programs. Prepare white papers and presentations

Requirements

• Strong ‘hands-on’ experience as a Data Architect with design/development background with Java, Scala, or Python
• Architecture experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation and Security
• Experience with building traditional Cloud Data Warehouses, Data Lakes
• Knowledge of high load and IoT Data Platform architectures and infrastructures
• Wide experience in analysis, design, implementation, deployment as well as troubleshooting and rebuilding distributed Linux based platforms and Big Data solutions on premises and in Cloud
• Strong Cloud experience in at least one of the Cloud providers (AWS, Azure, GCP)
• Solid experience in continuous delivery tools and technologies
• Broad experience with Containers and Resource Management systems: Docker, Mesos, Kubernetes/OpenShift, Yarn
• Able to deliver Data Analytics projects and architecture guidelines
• Strong in research, comparison, and selection of tools / technologies / approaches to be used
• Practical experience in performance tuning and optimization, bottleneck problem analysis
• Strong communication skills, experienced in team coordination skills and solution implementation supervision
• Good in Agile development methodology, Scrum in particular
• Solid skills in business analysis, network/stack architecture, troubleshooting, support
• Fluent English

Phoenix Games is an innovative technology company building next-generation iGaming and Web3 products for a global audience. By combining AI, blockchain, cloud technologies, and advanced analytics, we create engaging digital experiences powered by data.

We're looking for a Data Analyst who is passionate about transforming data into actionable insights and helping shape product strategy through analytics.

What You'll Do

• Analyze product, marketing, and business data to identify trends, opportunities, and risks.
• Build and maintain dashboards, reports, and KPIs using modern BI tools.
• Monitor player behavior, retention, engagement, and monetization metrics.
• Perform ad hoc analysis to support product and business decisions.
• Design and analyze A/B tests and feature experiments.
• Work closely with Product Managers, Marketing, Finance, and Engineering teams.
• Validate data quality and investigate anomalies.
• Automate recurring reports and improve reporting processes.
• Present insights and recommendations to stakeholders in a clear and actionable way.

Tech Stack

• SQL
• Python (Pandas, NumPy)
• Power BI / Tableau / Looker
• PostgreSQL
• BigQuery / Snowflake (nice to have)
• Google Analytics 4
• Amplitude / Mixpanel
• Excel / Google Sheets
• Git (nice to have)

Requirements

• 2+ years of experience as a Data Analyst, Product Analyst, or Business Analyst.
• Strong SQL skills and experience working with relational databases.
• Experience with BI and data visualization tools.
• Understanding of statistics and A/B testing methodologies.
• Strong analytical thinking and attention to detail.
• Ability to communicate complex findings in a simple and business-friendly way.
• Experience working with large datasets.
• Upper-Intermediate English or higher.

Nice to Have

• Experience in Gaming, FinTech, SaaS, or E-commerce.
• Experience with product analytics platforms (Amplitude, Mixpanel, GA4).
• Python for data analysis and automation.
• Knowledge of predictive analytics.
• Familiarity with blockchain or Web3 products.

What We Offer

• Fully remote work from anywhere in Europe.
• Long-term B2B cooperation.
• Competitive salary paid in EUR or USD.
• Annual salary reviews.
• Performance-based bonus program.
• Annual company bonus.
• 25 paid vacation days.
• Paid sick leave.
• Flexible working hours.
• Home office budget.
• Laptop or equipment allowance.
• Learning & development budget for courses, certifications, conferences, and books.
• English language lessons.
• Private health insurance.
• Mental health support program.
• Sports and wellness compensation.
• Team-building activities and international company retreats.
• Opportunity to work with AI, Web3, blockchain, and cutting-edge analytics solutions.
• Career growth within a fast-growing international product company.

Why Join Phoenix Games?

At Phoenix Games, data is at the heart of every product decision. You'll have the opportunity to work with modern technologies, influence business strategy, and help build products used by a global audience while collaborating with an international team of talented professionals.

Phoenix Games is a technology company building next-generation iGaming and Web3 products for a global audience. We leverage AI, cloud technologies, blockchain, and advanced analytics to create intelligent, data-driven gaming experiences.

As we continue to scale, we're looking for Data Engineer / Data Scientist to help us build modern data infrastructure, develop machine learning solutions, and turn massive volumes of data into actionable insights.

What You'll Do

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and optimize data warehouses and data lake architectures.
• Collect, clean, and transform large datasets from multiple sources.
• Build predictive models, recommendation systems, and analytical solutions.
• Apply machine learning techniques to improve player engagement, fraud detection, personalization, and business intelligence.
• Design dashboards and reporting solutions for business stakeholders.
• Collaborate with Product Managers, Engineers, and BI teams to define data-driven strategies.
• Optimize data processing performance and ensure data quality.
• Implement monitoring, validation, and governance for data pipelines.
• Research and evaluate new AI and machine learning technologies.

Tech Stack

• Python
• SQL
• PostgreSQL
• Snowflake / BigQuery / Redshift
• Apache Airflow
• Spark
• Pandas
• NumPy
• Scikit-learn
• TensorFlow / PyTorch
• MLflow
• Docker
• Kubernetes
• AWS / Azure / GCP
• Git
• Power BI / Looker / Tableau

Requirements

• 2+ years of commercial experience in Data Engineering, Data Science, or Machine Learning.
• Strong Python programming skills.
• Advanced SQL knowledge.
• Experience building scalable data pipelines.
• Experience with cloud data platforms.
• Strong understanding of data modeling and database design.
• Experience with machine learning algorithms and model evaluation.
• Experience working with large datasets.
• Familiarity with Docker and cloud environments.
• Strong analytical and problem-solving skills.
• Upper-Intermediate English or higher.

Nice to Have

• Experience with LLMs, Generative AI, or AI agents.
• Knowledge of real-time data streaming (Kafka, RabbitMQ).
• Experience with feature engineering and MLOps.
• Experience with fraud detection or recommendation systems.
• Familiarity with blockchain analytics or Web3 ecosystems.

What We Offer

• Fully remote work from anywhere in Europe.
• Long-term B2B cooperation.
• Competitive salary paid in EUR or USD.
• Annual salary reviews.
• Performance-based bonus program.
• Annual company bonus.
• 25 paid vacation days.
• Paid sick leave.
• Flexible working hours.
• Home office budget.
• Laptop or equipment allowance.
• Learning & development budget for courses, certifications, conferences, and books.
• English language lessons.
• Private health insurance.
• Mental health support program.
• Sports and wellness compensation.
• Team-building activities and international company retreats.
• Opportunity to work on AI, Web3, blockchain, and large-scale data platforms.
• Clear career growth opportunities within a rapidly expanding international product company.

Why Join Phoenix Games?

At Phoenix Games, data is at the core of every product decision. You'll work with modern technologies, solve complex data challenges, and help build intelligent systems that power the next generation of online gaming.

If you're passionate about data engineering, machine learning, and creating impactful AI-driven solutions, we'd love to hear from you.

We are looking for an experienced and proactive Business analyst to join our team at Dataforest and lead a long-term, high-scale FinTech project.

About the Project:
Our client is building a powerful B2B SaaS platform designed to revolutionize chargeback management, featuring enterprise-grade API integrations (Ethoca, Verifi), seamless payment processor connections (Stripe, Shopify, Braintree), and real-time dispute alerts. We are actively developing and scaling multiple product streams, including Business Health, Dispute Management, and others.

You’ll be a great fit if you have:
 

• 4+ years of experience in system, functional, or business analysis;
• English: Advanced and higher;
• Deep expertise in key business analysis techniques, requirement management tools, and standardizing BA documentation;
• Solid understanding of SDLC and Agile development processes;
• Strong hands-on experience in business process modeling (BPMN, UML) and domain-driven design;
• Proven proficiency in driving Discovery phases, extracting high-level business vision, and translating it into actionable roadmaps and specs;
• Advanced skills in drafting business (BRD), functional (SRS), and technical requirement specifications;
• Extensive experience in working with key business stakeholders and C-level executives, leading requirement elicitation and facilitation sessions;
• Exceptional critical thinking, problem-solving, and conflict-resolution skills;
• Ability to independently decompose complex system workflows and domain logic into manageable tasks;
• Strong technical background with a clear understanding of web development concepts, enterprise system integrations, and API design;

• Practical experience using modern AI tools (ChatGPT, Claude, Copilot, etc.) to accelerate requirement generation, documentation, and analysis workflows.

   

Would be a plus:
 

• Prior experience in FinTech, PayTech, Chargeback, or Payments domain;
• Experience working with projects that integrate AI/ML features or LLM API solutions;
• Hands-on experience with SQL and data modeling;

• Experience with integration-heavy B2B SaaS projects and payment gateway APIs (e.g., Stripe, Braintree).

   

What you’ll do:
 

• Serving as the primary point of contact for stakeholders to elicit, clarify, and validate complex product requirements;
• Leading the end-to-end requirement lifecycle: from high-level discovery down to backlog grooming, user story mapping, and detailing acceptance criteria;
• Visualizing complex FinTech workflows, business processes, and data models for multi-stream engineering teams;
• Advising stakeholders on industry best practices, platform capabilities, and optimal product solutions;
• Performing market research and domain analysis to contribute to product strategy and features elaboration;
• Communicating project vision and closely aligning requirements with System Architects, Tech Leads, and engineering teams;
• Actively participating in presale estimations, discovery activities, and scope definition for new product streams;
• Drive & improve AI-driven BA practices: Leverage AI tools to speed up requirement drafting, analyze complex domain data, optimize BA artifacts, and enhance delivery processes.

We ensure your growth with:

- 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.

We’re searching for a Data Operations Analyst to join our high-performing team responsible for upholding world-class data quality across our product and analytics environments. Our success—and our ability to innovate—hinges on having clean, reliable data readily available to the entire organization. When data is accurate and trustworthy, we can confidently make decisions, develop cutting-edge AI solutions, and offer unparalleled insights to our customers.

In this role, you will be a data analyst and detective owning the operational heartbeat of our data processes, overseeing recurring processes to uncover potential improvements, collaborating with Engineering and Data Science on solutions, and continuously refining workflows for efficiency and scale. You have a keen eye for detail and are willing to go deep root-causing when the data doesn’t align with expectations. You’ll follow standard operating procedures (SOPs), service-level agreements (SLAs), and other best practices that elevate the team’s performance and ensure seamless cross-functional collaboration.

If you want to help define the next generation of data-powered products in a massive industry, this is the perfect opportunity for you. Expect autonomy in your work, support from a team that values continuous learning, and the chance to directly shape our solutions and strategy.

Project is a leading New York-based data and AI software specializing in the $2.3 trillion dollar building materials industry. Our platform, powered by advanced Machine Learning and Artificial Intelligence, provides manufacturers with a data-driven approach to better service customers and grow their relationships with key accounts. By simplifying massive datasets into actionable business insight, we help businesses make data-driven decisions to optimize pricing, inventory, and product assortment.

Our values
- We value execution: momentum is everything
- Belief in the power of positivity: we are encouraging and take risks
- Proactive ownership: we are passionate about driving financial value with a creative data product
- Foster collaboration: we welcome help and always extend a helping hand, internally and externally

Requirements

- Education: Bachelor's degree in a technical field (e.g., Industrial Engineering, Information Systems) or equivalent practical experience in a data-heavy environment.
- Experience: 1–3 years of experience as a QA Analyst, Data Analyst, or similar role.
- Technical Proficiency: Strong proficiency in SQL and familiarity with data warehousing solutions (e.g., Snowflake, Google BigQuery, ClickHouse).
- Coding: Experience cleaning and normalizing key data sources using SQL and Python.
- Visualization: Experience building and using data visualization tools (e.g. Hex, Preset, Tableau) is a plus.
- Math & Stats: An understanding of statistical measurements of accuracy (e.g., correlation, variance).
- Automation: Experience identifying and executing operational improvements through automation.

Who You Are (Attributes)
- An Owner: You maintain an attitude of ownership of your work and adopt strong organizational skills.
- A Self-Starter: You adopt a self-starter mentality and inspire other team members to do the same.
- A Collaborator: You possess effective communication and collaboration skills, with the ability to work well in a team environment.
- A Clear Communicator: You are adept at clear, concise written and verbal communication, comfortable interacting with both technical and non-technical audiences.
- Resilient: You have the ability to prioritize tasks and manage time effectively in a fast-paced environment.

Responsibilities

- Be the Data Detective: Perform root cause analysis using SQL and Python to uncover nuances and issues with the data, ensuring nothing slips through the cracks.
- Drive Quality Assurance: Conduct QA procedures and regular backtesting processes to pinpoint opportunities for enhancing data accuracy and consistency.
- Engineer Automated Solutions: Identify process improvements through automation and work hand-in-hand with Engineering teams to build automated solutions.
- Optimize Data Pipelines: Clean and normalize key data sources and collaborate with Engineering to refine systems, ensuring data flows smoothly from source to destination.
- Visualize Health: Build data visualizations that support you and your teammates’ day-to-day QA workflows.
Communicate & Align: Communicate updates and progress to Product, Analytics, and other stakeholders, ensuring alignment on priorities and timelines.

Work conditions

- Opportunities to work on diverse and challenging projects.
- A supportive and collaborative team environment.
- 12 vacation days per year.
- 5 sick days per year.
- English classes.
- Access to therapist and psychologist support for mental well-being.

We build Arabic and English chat and voice assistants for UAE government services. They answer questions from official documents with citations, and they complete real transactions: traffic fines, licence renewals, payments, identity verification, all through SOAP and REST integrations with government systems.

Our work spans two worlds. Some projects run in the cloud with hosted models and managed GPUs. Others run fully on-premise inside air-gapped government networks: local models on our own GPU servers, no internet, no external APIs. You will work across both, and you will ship the same quality in each.

We are a small team and we deliver fast. A full system typically goes from requirements to production in under 30 days. That pace is possible because each engineer owns their work end to end: read the documents, build the feature, integrate the services, test the complete journey in chat and voice, package the release, and support it live.

What you will build

• Chat applications: multi-step citizen journeys with intent detection, tool calling, confirmations, and clean handling of records like vehicles, fines, and receipts. English and Arabic, including right-to-left layouts.
• Voice: streaming speech recognition and synthesis, barge-in, interruption handling, and smooth handoff from voice to visual UI for forms, payments, and OTP.
• RAG pipelines: ingestion of PDF, DOCX, scanned and bilingual documents; hybrid retrieval; reranking; citations that point to the exact source; evaluation so we know retrieval actually works.
• Agentic workflows: model reasoning combined with deterministic controls, so the assistant completes real services and never invents fees, eligibility rules, or records.
• Model serving: hosted model APIs and cloud GPUs on some projects; open models served locally with vLLM or similar on others, including quantization, latency, and throughput tuning on government hardware.
• Integrations: SOAP 1.1/1.2, WSDL, XML, and REST services; UAE PASS and OAuth identity flows; payment gateways with callbacks, receipts, idempotency, and audit logs.
• Deployment: containers, systemd, reverse proxies, TLS. For air-gapped sites, complete offline packages: Python wheels, model weights, container images, migrations, and rollback, with nothing silently downloaded at install time.

How we work

This part matters as much as the technical list. You will often be the only engineer on a delivery, working directly from client documents and existing code.

• You start from the documentation and the codebase, not from a task-by-task checklist.
• You search the docs, code, logs, WSDLs, and captured traffic before asking for help, and you escalate only when something genuinely blocks you: a missing credential, an external contract, a business decision.
• You fix root causes, not symptoms, and you check whether the same defect exists in the paths nobody reported.
• You test your own work across the whole journey before calling it done: chat, voice, retrieval, integrations, UI, deployment, and the scenarios your change might have broken. Done means verified, not "the model answered correctly once."
• You give short, honest progress updates with realistic estimates, especially when something slips.
• You stay accountable for the outcome the citizen sees, not just the component you wrote.

What we need from you

• 4+ years of production Python: async services, APIs, background workers, real error handling.
• LLM applications you actually shipped: RAG, tool calling, or agents doing useful work in production.
• Experience with hosted model APIs, and either experience running open models on GPUs or the clear ability to learn it fast.
• Solid Linux: containers, networking, TLS, and debugging a server that has no internet access.
• Integration skill: you can take a WSDL or API spec, get a working integration, and diagnose it when the live service disagrees with the documentation.
• The independent working style described above, for real, not as an interview answer.
• Based in the UAE or able to relocate quickly; the role is primarily on-site.

Strong pluses (we will teach what you are missing)

• Arabic, especially Gulf dialect, and English-Arabic code-switching
• Streaming speech systems: ASR, TTS, WebSockets, WebRTC
• GPU serving and quantization (vLLM, TensorRT-LLM, or similar)
• UAE PASS, UAE government services, or payment gateway integrations
• Air-gapped packaging: offline repositories, checksums, SBOMs
• SQL Server or comparable enterprise databases

Vidar Systems is a Ukrainian startup in the field of acoustic technologies, operating at the intersection of defense and security. We develop acoustic systems that use sound to determine the location of hostile objects, including artillery and drones.

About the Role
Become a core member of our high-impact engineering team and architect the AI systems that protect Ukraine’s frontline defense. You will own the full lifecycle of ML solutions—from design to edge deployment—in a mission-critical acoustic reconnaissance environment.

What You’ll Do

• Design, implement, evaluate, and optimize ML/DL models for acoustic detection and classification tasks.
• Collect, clean, and preprocess datasets for model training and evaluation.
• Write modular, testable code for preprocessing, model inference, and automation tasks.
• Develop and maintain robust data pipelines to support efficient model training and evaluation workflows.
• Develop strategies for model quantization and compression to ensure high performance on resource-constrained hardware.

What You Need

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
• 2+ years of professional Python experience in ML/DL production applications.
• Hands-on expertise in designing, training, and integrating ML systems into production environments.
• Deep experience with TensorFlow, PyTorch, PyTorch Lightning, scikit-learn, NumPy, and Pandas.
• Strong analytical, communication, and problem-solving skills; ability to thrive and execute independently in a high-stakes, fast-paced startup environment.
• Good technical English.

Nice to Have

• C/C++ experience (especially valuable for our next-generation systems).
• Background in the audio domain or digital signal processing (DSP).
• Proficiency in training unsupervised learning models.
• Experience with the optimization and deployment of ML models on edge devices.

Our Recruitment Process

1. Intro call with recruiter — 45 min
2. Technical interview with ML Lead — 90 min
3. Test task — 4–6 hours
4. Final interview with ML Lead and CTO — 60 min

Why Join Us?

• High Autonomy: Shape the direction of our software solutions with minimal oversight and maximum ownership.
• Innovation at the Edge: Contribute to military acoustic reconnaissance systems at the forefront of defense tech, redefining ML in harsh, real-world acoustic environments.
• Flexible Work Options: Benefit from adaptable arrangements and a culture that truly values your input and well-being.

We are seeking an experienced Senior Business Analyst to join a data management project within a leading pharmaceutical company.

The role will focus on Master Data Management (MDM), data modeling, and data governance, acting as a business counterpart to MDM and data platform teams. The Business Analyst will help translate business needs into clear data requirements, models, and processes, while supporting the development of downstream data structures and ontologies.

Responsibilities:

• Act as a senior business counterpart for MDM, data platform, and Foundry teams, owning the clarification and translation of business needs into actionable data requirements.
• Lead requirements discovery and analysis related to Master Data Management, including master data domains, attributes, relationships, business rules, hierarchies, and ownership.
• Work closely with business stakeholders and technical teams to define how master data should be structured, governed, and represented across downstream systems and data platforms.
• Support the definition and refinement of conceptual and logical data models, ensuring that business concepts and relationships are accurately represented.
• Facilitate discussions between business and technical stakeholders, proactively resolving ambiguities, inconsistencies, and gaps in data requirements.
• Contribute to the development and evolution of enterprise ontologies, including the definition of business entities, relationships, terminology, and semantic models.
• Support data governance activities, including data definitions, ownership, quality rules, standards, and consistency across systems.
• Analyze existing data structures and processes and recommend improvements to support scalable and consistent enterprise data management.
• Maintain clear documentation covering business requirements, data definitions, models, business rules, decisions, and dependencies.
• Validate proposed data models and delivered solutions with business stakeholders to ensure alignment with business processes and intended use.
• Collaborate closely with distributed stakeholders and teams, including colleagues based in the US.

Requirements:

• 5+ years of experience as a Business Analyst, Data Business Analyst, or similar role within complex enterprise environments, with significant exposure to data-related initiatives.
• Strong practical understanding of Master Data Management principles, including master data domains, golden records, hierarchies, relationships, matching, data ownership, governance, and lifecycle management.
• Experience translating complex business concepts into structured data requirements and data models.
• Good understanding of data modeling principles, including entities, attributes, relationships, reference data, and conceptual/logical data models.
• Experience working closely with MDM, data engineering, data architecture, or enterprise data platform teams.
• Ability to operate as an independent and senior business counterpart to technical teams rather than relying on engineering teams to drive requirements definition.
• Strong stakeholder management and facilitation skills, with the ability to work with both business and technical stakeholders and challenge assumptions when necessary.
• Experience with data governance, data quality, business glossaries, metadata, or data ownership frameworks.
• Familiarity with ontology or semantic data modeling concepts is highly desirable.
• Experience with Reltio or another MDM platform is a strong advantage, but specific Reltio expertise is not required.
• Experience with Palantir Foundry or similar enterprise data platforms is a plus.
• Pharmaceutical, healthcare, or life sciences domain experience is highly desirable.
• Basic understanding of SQL and data querying concepts is beneficial, but hands-on development or data engineering experience is not required.
• Strong analytical and problem-solving skills, with a high level of ownership and the ability to independently structure ambiguous business problems.
• Ability to work effectively in a distributed international environment.
• English: Upper-Intermediate or higher.
   

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

Are you passionate about building cutting-edge, AI-ready data platforms from the ground up? We are looking for a Senior Data Engineer to join our Data Engineering Team and lead high-impact, greenfield initiatives.

You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines — turning architectural concepts into production-grade solutions.

Responsibilities:

• Design and build scalable, cloud-native data platforms from greenfield to production
• Implement near-real-time ingestion pipelines using event-driven patterns
• Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts
• Refactor and optimise existing Spark and PySpark scripts for performance and maintainability
• Introduce best practices for code quality, testing, and CI/CD across data pipelines
• Drive adoption of AI tooling and agentic workflows within the data engineering team
• Ensure data quality, observability, and reliability across all pipelines and platforms

• Develop self-service tooling and microservices to simplify platform usage for other teams

   

Requirements:

• 5+ years of professional experience in Data Engineering
• Strong Python and SQL development skills for pipeline development and optimisation
• Proficiency in Apache Spark / PySpark, including query optimisation and performance tuning
• Hands-on experience with Databricks 
• Experience with at least one major cloud provider: Azure (preferred), AWS, or GCP
• Experience with stream processing technologies (Kafka, Spark Structured Streaming)
• Solid understanding of ETL/ELT patterns, data modelling (dimensional, Data Vault), and data warehousing
• Experience with orchestration tools (Apache Airflow, Azure Data Factory, or equivalent)
• Knowledge of Infrastructure as Code (Terraform or equivalent)
• Understanding of production-grade system requirements: reliability, scalability, observability, and performance

• Upper-Intermediate English level

   

Will be a plus

• Familiarity with RAG pipeline design and LLM integration patterns
• Knowledge of data governance frameworks and tools (Unity Catalog, Apache Atlas, or similar)
• Experience with dbt for data transformation and modelling

• Familiarity with MLflow, Feature Stores, or ML platform integration

   

Personal profile

• Self-driven and proactive in identifying improvements
• Comfortable working in a fast-paced, innovative environment
• Strong problem-solving mindset with attention to detail
• Open to experimenting with emerging technologies and approaches

_____________________________________________________________

Ти захоплюєшся створенням передових, AI-ready дата-платформ з нуля? Ми шукаємо Senior Data Engineer, щоб ти приєднався(-лася) до нашої команди Data Engineering та очолив(-ла) масштабні, інноваційні ініціативи з нуля.

Ти працюватимеш над побудовою сучасних хмарних дата-платформ, міграцією локальних (on-premises) легасі-систем у хмару та створенням архітектурного фундаменту для AI-ready дата-інфраструктури.

У цій ролі ти тісно співпрацюватимеш з командами Machine Learning, Data Science та Product, виступаючи ключовим технічним експертом та лідером думок. Також ти вестимеш R&D-роботи над agentic AI-архітектурами, подієво-орієнтованими системами та LLM-ready дата-пайплайнами — перетворюючи архітектурні концепції на готові до продакшену рішення.

Обовʼязки:

• Проєктувати та створювати масштабовані, хмарні дата-платформи від концепції до продакшену
• Реалізовувати пайплайни для майже реального часу (near-real-time ingestion) з використанням подієво-орієнтованих патернів
• Визначати та впроваджувати стандарти платформи, включно з принципами Data Lake / Lakehouse, медальйонною архітектурою та дата-контрактами
• Рефакторити та оптимізувати наявні скрипти на Spark та PySpark для підвищення продуктивності та зручності підтримки
• Запроваджувати найкращі практики якості коду, тестування та CI/CD для дата-пайплайнів
• Сприяти впровадженню AI-інструментів та agentic-підходів у команді дата-інженерів
• Забезпечувати якість, спостережуваність (observability) та надійність усіх пайплайнів і платформ

• Розробляти self-service інструменти та мікросервіси, що спрощують використання платформи іншими командами

   

Вимоги:

• 5+ років комерційного досвіду в Data Engineering
• Сильні навички розробки на Python та SQL для створення та оптимізації пайплайнів
• Впевнене володіння Apache Spark / PySpark, включно з оптимізацією запитів та налаштуванням продуктивності
• Практичний досвід роботи з Databricks (бажано) 
• Досвід роботи з принаймні одним великим хмарним провайдером: Azure (бажано), AWS або GCP
• Досвід роботи з технологіями потокової обробки даних (Kafka, Spark Structured Streaming)
• Глибоке розуміння ETL/ELT-патернів, моделювання даних (dimensional, Data Vault) та побудови дата-складів
• Досвід роботи з інструментами оркестрації (Apache Airflow, Azure Data Factory або аналогами)
• Знання Infrastructure as Code (Terraform або аналогів)
• Розуміння вимог до продакшен-рішень: надійність, масштабованість, спостережуваність, продуктивність

• Рівень англійської — Upper-Intermediate

   

Буде плюсом:

• Знайомство з проєктуванням RAG-пайплайнів та патернами інтеграції LLM
• Знання фреймворків і інструментів для data governance (Unity Catalog, Apache Atlas або подібних)
• Досвід роботи з dbt для трансформації та моделювання даних

• Знайомство з MLflow, Feature Stores або інтеграцією з ML-платформами

   

Особистий профіль:

• Самомотивованість та проактивність у пошуку покращень
• Комфортна робота у швидкому та інноваційному середовищі
• Сильне аналітичне мислення та увага до деталей
• Відкритість до експериментів з новими технологіями та підходами

SouthRivers Data is a data & AI engineering partner. We strengthen the teams of consultancies and end clients across the EU, UK, and North America with senior data and AI engineers.

We're looking for a Data Platform Engineer with strong Databricks and Unity Catalog experience to join the data platform team of a large European banking group. 

Responsibilities:

• Configure data access in Unity Catalog: catalogs, schemas, grants, views
• Manage infrastructure through Terraform, with changes via pull request
• Integrate data from legacy systems
• Provide operational support: sprint on-call rotation, Jira ticket handling
• Communicate with internal stakeholders about platform capabilities and limitations

Requirements:

• 2+ years of Databricks experience in production
• Experience with Unity Catalog: grants, access rights, row-level security
• Strong hands-on Terraform experience
• Experience with Azure: AD/Entra groups, resource groups, basic networking
• Strong SQL
• Experience working with Git via pull requests
• Comfortable with operational work and ticket-based support — this makes up about half of the role
• Able to explain technical limitations to stakeholders and propose alternatives

Nice to have:

• Experience in banking or another regulated industry
• Experience working specifically in a platform team
• Knowledge of Databricks CLI/SDK

Please note: This is a Middle-level, hands-on role - not a Senior/Architect position. Candidates looking to grow into ML or solution architecture won't find that scope here. 

AI Delivery Engineer (Agent Tooling & Code Generation) 🤖⚡

ZentixSoft is looking for an AI Delivery Engineer! 🚀
 

Format: Full-Time Outstaffing, long-term remote project. You will build and ship production-grade AI agent tooling and code-generation solutions, embedding AI agents directly into the delivery lifecycle.

💡 Why ZentixSoft? 
💸 Salary Review: A structured system of compensation reviews aligned with your engineering growth. 
⚖️ Work-Life Balance: Sustainable workflows with no senseless overtime, helping you keep your resource fully charged. 
🦾 Trust and Transparency: Zero micromanagement and no invasive time-trackers—we fully trust your professional autonomy. 
🎁 Gifts & Culture: Corporate gifts for holidays, birthdays, and a true team atmosphere where your voice always matters.
 

🧩 Responsibilities:

• AI Tooling & Automation: Design, build, and maintain AI agent tooling that automates engineering and business workflows.
• Code Generation Pipelines: Develop and refine developer copilots and code-generation workflows.
• Agent Integration & RAG: Integrate LLM APIs, agent-orchestration frameworks, RAG pipelines, and vector databases into production systems.
• Production Reliability: Monitor, evaluate, and enhance agent performance, safety guardrails, and reliability from prototype to production rollout.
• Documentation & Adoption: Document tooling, establish prompt engineering standards, and support internal teams in adopting AI agents.
   

🎓 Requirements:

• Engineering Background: 4+ years of commercial software engineering experience, with a recent focus on applied AI/LLM systems.
• Agent Frameworks: Hands-on experience building LLM-based agents or agent-orchestration frameworks (LangChain, LangGraph, AutoGen, or custom pipelines).
• Code-Gen & Copilots: Proven experience with code-generation tooling and AI-assisted development workflows.
• Core Tech Stack: Strong Python skills (TypeScript/JavaScript is a plus) for agent tooling and integration.
• LLM & Vector Ecosystem: Experience working with LLM APIs (OpenAI, Anthropic, etc.), RAG architecture, vector stores, prompt engineering, and guardrails.
• Production Shipping: Demonstrated ability to take AI concepts and prototypes to production-grade deployment.
   

➕ Nice to Have:

• Experience deploying agentic frameworks in enterprise settings.
• Familiarity with MLOps / LLMOps practices.
• Contributions to open-source AI tooling.
   

📍 Project Details:

⏳ Duration: Long-term (Full-time).

📍 Location: Fully Remote.

We are looking for a Marketing Analyst (Web Acquisition). Our Analytics team is looking for someone to take ownership of how conversion signal gets delivered, measured, and trusted across our paid web traffic. You will own the full chain from server-side postbacks and click-ID capture to UTM taxonomy and affiliate reconciliation, catch measurement gaps before they hit spend, and turn conversion and funnel data into dashboards and recommendations that our marketing and User Acquisition teams act on daily. It's a hands-on role for someone who treats SQL, BI, and Python as everyday tools, is comfortable testing hypotheses alongside performance marketers, and wants their analysis to directly shape how we scale acquisition across millions of users in Tier-1 and international markets.

About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale - fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide.

In this role, you will

• Own conversion signal delivery end to end: S2S postbacks per channel, event mapping, deduplication across event sources, and match-quality diagnostics
• Own identity and match quality: hashed first-party data used for matching, click-ID capture and persistence from landing page to CRM to payment
• Own what we optimize toward: value-based bidding, conversion value modelling, event taxonomy and attribution windows
• Work across channel specifics: Google Ads conversion diagnostics, Enhanced Conversions, offline conversion import, gclid/gbraid/wbraid and Consent Mode; Meta Conversions API, EMQ and deduplication; TikTok/Snapchat Events API and ttclid/sccid; AppLovin AXON Conversion API; Mintegral tracking URLs, UTM capture and S2S postbacks; affiliate postback integrations, click and sub-ID passing, conversion validation
• Build monitoring and alerts for signal errors, latency, coverage, match rates and platform-vs-internal discrepancies
• Investigate signal-related performance drops and assess the measurement impact of site releases and ad-platform changes before they hit spend
• Own UTM taxonomy and campaign naming conventions across all channels, with automated validation
• Own affiliate measurement: deduplication between partner postbacks and paid channels, attribution windows and overlap rules, conversion validation and payout accuracy, partner-level quality and fraud controls
• Analyze campaign and partner performance and traffic quality by channel, campaign, creative, geo and placement, including landing-page and checkout funnel conversion, lead quality, repeat purchase, LTV and payback
• Find growth points in CAC, ROAS and payback and turn them into recommendations the UA and affiliate teams can act on
• Test optimization hypotheses with UA: bidding strategy, which conversion to optimize for, conversion value definitions, audience and creative structures
• Build automated Tableau dashboards and ad-hoc reports on conversion values, bidding performance, signal delivery, partner payouts and funnel metrics
• Build and maintain custom marketing datasets in BigQuery on top of network, GA4, affiliate and CRM data

It's all about you

• 3+ years of experience in marketing or product analytics, with hands-on ownership of paid acquisition data
• Confident SQL in BigQuery
• Solid understanding of statistics: funnel conversion, sample size, telling a real difference from noise
• Python (Pandas) for analysis and automation: data validation, conversion uploads, recurring pipelines
• Hands-on Tableau, from data model to dashboards the team uses daily
• Practical experience with server-side conversion delivery on at least one platform: Meta CAPI, Google offline / Enhanced Conversions, TikTok or Snapchat Events API, or affiliate postback integrations
• Understanding of web attribution and performance marketing: click IDs and UTM, attribution windows, why platform, GA4 and internal numbers disagree and which to trust for which decision
• Understanding of consent, first-party identity and cookie limitations, and what they do to measured conversions
• Experience collaborating with User Acquisition teams and supporting data-driven decisions
• Strong analytical thinking and attention to detail
• Ability to identify root causes of changes, not just describe the numbers
• Ability to build and defend clear business conclusions and recommendations
• Proactive mindset and strong communication skills

Would be a plus

• Experience with A/B testing
• Experience using AI tools such as Claude in your analytical work
• Experience with affiliate / performance-partner measurement: S2S postbacks, sub-ID structures, conversion validation
   

What we offer

Care and support:

• 20 paid vacation days, 15 sick leave days, and 6 additional days off for family events
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Maternity Recovery Support Allowance
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Modern equipment or depreciation of your own tools

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Access to premium AI tools and technologies
• Corporate library, book club, and knowledge-sharing events

Hiring process

• Intro call
• Technical Interview
• Bar-raising
• Reference check
• Offer

ZentixSoft is looking for a Senior Data Architect! 🚀

Format: Full-Time Outstaffing, long-term remote engagement. You will take full end-to-end ownership of target-state data architecture across multi-cloud environments.
 

💡 Why ZentixSoft?
 💸 Salary Review: A structured system of compensation reviews aligned with your engineering growth. 
⚖️ Work-Life Balance: Sustainable workflows with no senseless overtime, helping you keep your resource fully charged. 
🦾 Trust and Transparency: Zero micromanagement and no invasive time-trackers—we fully trust your professional autonomy. 
🎁 Gifts & Culture: Corporate gifts for holidays, birthdays, and a true team atmosphere where your voice always matters.
 

🧩 Responsibilities:

• Architecture Ownership: Define and own the target-state data architecture across both AWS and Azure cloud environments.
• Platform & Processing Design: Architect enterprise data lakes/warehouses, storage layers, ingestion patterns, and processing frameworks utilizing distributed systems (Spark).
• Governance & Security: Establish enterprise data governance, security, compliance, and access-control standards across both cloud ecosystems.
• Tool & Vendor Evaluation: Evaluate tools/services across AWS and Azure, balancing performance, scalability, maintainability, and cloud costs.
• Technical Leadership & Delivery: Provide architectural oversight and detailed technical documentation to engineering leads during implementation, supporting cloud migration and multi-cloud integration initiatives.

🎓 Requirements:

• Architect Experience: 8+ years in data architecture and engineering, with clear senior/lead-level design responsibility and platform ownership.
• AWS Stack: Deep hands-on architecture experience with AWS (S3, Redshift, Glue, Lake Formation, Athena).
• Azure Stack: Deep hands-on architecture experience with Azure (ADLS, Synapse, Data Factory, Databricks).
• Data Engineering Core: Mastery of data modeling, ETL/ELT pipelines, distributed data processing (Spark), and enterprise data lakes/warehouses.
• Governance & Migrations: Proven track record leading multi-cloud integrations, cloud migrations, and establishing data security and governance standards.
• Communication: Excellent stakeholder communication skills to present architectural decisions to both technical teams and business leadership.
   

➕ Nice to Have:

• Cloud Certifications (AWS Certified Solutions Architect, Azure Solutions Architect Expert).
• Experience with Data Mesh or Domain-Driven Data Architecture.
• Experience in regulated industries (Finance, Healthcare, etc.).
   

📍 Project Details:

⏳ Duration: Long-term (Full-time).

📍 Location: Fully Remote.

About the position

We are looking for a Middle Data Science / Computer Vision Engineer to join a team developing autonomous UAV capabilities for challenging operating environments, including scenarios with limited or unavailable GNSS and operator connectivity.

The role is focused on Computer Vision and Machine Learning for real-world autonomous systems. You will work on algorithms for optical navigation, object detection and tracking, and other perception tasks, with a strong emphasis on deployment to onboard computing platforms and validation in simulation, on the bench, and during flight tests.

We are looking for an engineer who is comfortable working beyond the model itself - analyzing system behavior, investigating test results, identifying root causes, and turning prototypes into reliable solutions that can operate on real UAV platforms.

Must have skills:

• Middle-level experience: approximately 2+ years of practical Data Science / Machine Learning experience with Computer Vision as the primary specialization
• Strong Python skills
• Hands-on experience with PyTorch and/or TensorFlow
• Hands-on OpenCV experience
• Good understanding of modern CNN- and Transformer-based CV architectures
• Practical experience in several of the following areas: object detection, object tracking, classification, segmentation, feature extraction/matching, image registration, motion estimation
• Understanding of Computer Vision geometry: camera models, coordinate systems, camera calibration, transformations, and projective geometry
• Good foundation in linear algebra, probability, and statistics
• Experience with Linux, Git, and sound software engineering practices
• Ability to work with imperfect real-world data collected from field systems and flight tests
• At least an Upper-Intermediate level of English (spoken and written)

Your tasks will include:

• Develop and improve Computer Vision algorithms for UAV applications
• Develop object detection, classification, and tracking algorithms
• Work on optical navigation, Visual Odometry / Visual-Inertial Odometry, feature matching, image registration, and visual localization
• Train, fine-tune, and evaluate models using proprietary datasets
• Build and optimize real-time CV pipelines
• Optimize inference for edge platforms with limited compute resources
• Integrate DS/CV components with navigation, flight controllers, telemetry, and guidance logic
• Participate in simulation, bench, and flight testing
• Analyze failed tests and algorithm degradation, and improve robustness

We offer:

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days

Phenomenon Studio is a boutique product design and development agency founded in 2019. We work with teams who’ve outgrown what they’ve built — from venture-backed startups to established market leaders — and own the work end-to-end: strategy, design, development, and post-launch.

The team of 70+ senior specialists is based in Europe, with entities in the USA, Estonia, and Switzerland, serving SaaS, Fintech, Healthcare, and EdTech. Across 120+ launches, clients have raised $500M+. Phenomenon is HIPAA-compliant, Nielsen Norman Group UX certified, and a Webflow Experts partner, holding a 5.0 rating on Clutch — and most clients come back for a second project.
 
We are looking for a Business Analyst (part-time) to support new presale workshops and further product development. The role also includes onboarding to existing projects, supporting ongoing delivery, collaborating with the team on new modules, conducting research, and preparing documentation for new features.
 
Team: BA Lead, Senior BA, Pre-sales team
 
Requirements
 

• Experience in a similar position of at least 4 years
• English proficiency of at least Upper-Intermediate level
• Able to dive into a subject field quickly
• Converting ideas into requirements, explaining them in an accessible way to the team, and knowledge base enrichment
• Experience demonstrating/presenting implemented solutions to customers
• Have experience working with task managers (ClickUp/Jira/Asana/Confluence)
• Daily hands-on use of AI agent tooling as a primary work environment (Claude Code, Cursor or equivalent) - not limited to chat-style usage
• Ability to prepare and maintain project context for AI tools (context/instruction files, glossaries, decision logs) so that output is reproducible by other team members
• Task decomposition for agents: breaking an analysis task into verifiable steps and reviewing intermediate results
• Critical validation of AI output - detecting hallucinated or unsupported requirements; no unreviewed content in delivered documentation
• Awareness of data sensitivity limits - what client data may be processed in which tool

Nice to have
 

• Ability to model and describe business processes using notations (UML, BPMN, eEPC, IDEF)
• Knowledge of teamwork principles and agile development practices
• Understanding of general DevOps principles and the software development life cycle
• Basic code reading/understanding
• Ability to work independently and build business analysis processes on the project from scratch
• Building reusable AI assets: prompt templates, slash commands, skills, subagent workflows
• Connecting AI tools to the delivery stack via MCP or API (Notion, ClickUp/Jira, Figma, Drive)
• Comfort with terminal/CLI workflows and local tooling (e.g. local transcription models)
• Ability to assess agent output quality against a reference project set and iterate on instructions
• AI-assisted prototyping for hypothesis testing (v0, Lovable, Claude Artifacts, etc.)
   

Responsibilities
 

• Write user stories, scripts (User Stories, Use Cases)
• Write documentation, presentations (if necessary). Prepare user documentation according to customer requirements
• Elaborate low-formalized user requirements, capable of decomposing, evaluating, and ranking them (generating MVPs, Impact mapping)
• Create solution prototypes and test hypotheses as needed; consult and help the UX team to make the interface of applications and web solutions not only the most usable, but also consistent with stakeholder requirements
• Participate in integration, interaction, and API design
• Building user-friendly UIs; the ability to prototype UIs at a basic level (in Figma, Balsamiq Mockups, etc.)
• Set up and maintain the project’s AI context as a living artifact (context files, domain glossary, requirement decisions) - keeping it current is part of analysis work, not documentation overhead
• Produce first drafts of requirements, user stories, and specs with AI assistance while owning the final quality and consistency
• Contribute reusable prompts, commands, and templates to the shared BA library and onboard teammates to them

What we offer: 
 

• A team of open-minded and supportive professionals
• Comfortable part-time schedule with autonomy in processes
• Full remote work format
• Flexible workload and the possibility to combine with studies, personal projects, or other activities
• Work-life balance: we value results, not the number of hours spent
• Opportunity to grow into a full-time role in the future (if desired)

Recruitment process: Recruitment interview — Technical interview