Jobs Data & Analytics

We are seeking an expert with deep proficiency as a Platform Engineer, possessing experience in data engineering. This individual should have a comprehensive understanding of both data platforms and software engineering, enabling them to integrate the platform effectively within an IT ecosystem.

Responsibilities:

• Manage and optimize data platforms (Databricks, Palantir).
• Ensure high availability, security, and performance of data systems.
• Provide valuable insights about data platform usage.
• Optimize computing and storage for large-scale data processing.
• Design and maintain system libraries (Python) used in ETL pipelines and platform governance.
• Optimize ETL Processes – Enhance and tune existing ETL processes for better performance, scalability, and reliability.

Mandatory Skills Description:

• Minimum 10 Years of experience in IT/Data.
• Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
• Bachelor's in IT or related field.
• Infrastructure & Cloud: Azure, AWS (expertise in storage, networking, compute).
• Data Platform Tools: Any of Palantir, Databricks, Snowflake.
• Programming: Proficiency in PySpark for distributed computing and Python for ETL development.
• SQL: Expertise in writing and optimizing SQL queries, preferably with experience in databases such as PostgreSQL, MySQL, Oracle, or Snowflake.
• Data Warehousing: Experience working with data warehousing concepts and platforms, ideally Databricks.
• ETL Tools: Familiarity with ETL tools & processes
• Data Modelling: Experience with dimensional modelling, normalization/denormalization, and schema design.
• Version Control: Proficiency with version control tools like Git to manage codebases and collaborate on development.
• Data Pipeline Monitoring: Familiarity with monitoring tools (e.g., Prometheus, Grafana, or custom monitoring scripts) to track pipeline performance.
• Data Quality Tools: Experience implementing data validation, cleaning, and quality frameworks, ideally Monte Carlo.

Nice-to-Have Skills Description:

• Containerization & Orchestration: Docker, Kubernetes.
• Infrastructure as Code (IaC): Terraform.
• Understanding of Investment Data domain (desired).

Languages:

English: B2 Upper Intermediate

Вітаю тебе, фахівець \0/

Мене звати Кирил, я допомагаю зібрати дрім тім для своїх друзів з Hooh – це стартап від фаундерів Depositphotos. Команда сіньорна та досвідчена, тому опортʼюніті, ІМХО, дуже кльове.

отже

Hooh – це b2c AI-продукт, який робить складні документи простими для розуміння та дій. 

Він дозволяє завантажувати файли (PDF, фото, скани), автоматично розпізнавати їхній вміст, витягувати ключову інформацію та отримувати короткі, зрозумілі підсумки.
 

Ми успішно випустили v1, підтвердивши нашу основну AI-пайплайн-архітектуру. Зараз ми розширюємо продукт до “scanner-grade” PDF-досвіду, що поєднує глибоке AI-розуміння з надійним редагуванням документів.

Далі дозволю собі перемкнутись на англійську, бо мова піде про конкретні речі.
 

_________________

CEO about the role: “We are looking for an Applied AI Engineer who will help us make messy documents reliably understandable, build accurate structure and entity extraction, strong retrieval, and cost‑efficient model orchestration."

Key Responsibilities

• Document analysis & taxonomy: Systematically analyze layouts/sections/entities/relations; define categories, types, and metadata schemas that generalize across domains.
• Prompting & schemas: Author, version, and maintain prompts/chains for classification, extraction, summarization, and Q&A; enforce JSON/JSON‑Schema outputs.
• Retrieval (RAG): Build hybrid retrieval (embeddings + keyword + graph traversal); manage embedding generation, indexing, dedupe, and drift.
• Cascades & MoE: Architect model cascades (fast filters → experts → fallback LLMs) and MoE routing to balance quality/cost/latency.
• Agentic orchestration: Use CrewAI (or similar) to coordinate multi‑step pipelines; add caching/batching/streaming and robust retries.
• Result fusion: Combine outputs via reranking, voting, and confidence/consistency checks; add guardrails and safety rules.
• Evaluation & monitoring: Run LangSmith/Evals (or similar), define golden sets, automate regressions, track quality/cost/latency; canary and observe.
• Operate models locally/hosted: Work with vLLM/TGI/Ollama/llama.cpp as well as API models; apply quantization/LoRA when useful.
• Data stores: Use vector DBs plus graph and relational DBs to power retrieval and joins (e.g., Qdrant/Weaviate/Milvus/pgvector + Neo4j + PostgreSQL).

Required Skills & Experience

• Strong programming skills in Python; ability to write clear, tested, maintainable code.
• Experience building at least one LLM‑powered feature end‑to‑end (prototype → production), or equivalent open‑source/portfolio work.
• Hands‑on with RAG, vector embeddings, and evaluation (offline + online A/B, error analysis).
• Familiarity with model cascading/MoE concepts (or ability to learn quickly).
• Practical database skills: comfortable with SQL and with either graph or vector systems.
• Product mindset: bias to measure impact and iterate.

We hire for capability and learning speed. If you’re strong on fundamentals and can show work, we’d love to talk, even if you don’t check every box.
 

Nice to have:

• OCR/Document AI, ontology design, labeling workflows.
• LangSmith/Evals, LangChain/LlamaIndex; Ray/Airflow; GPU basics.
• Security & privacy for AI systems (PII handling, GDPR), prompt/response guardrails.

The Team

• CEO
• Product Manager
• Fullstack Engineering Lead
• Back End Dev
• Fullstack Dev 
• AI engineer
• User Acquisition Manager
• 2х Designers 
• 2x iOS Devs
  
   

What We Offer

• Challenging technical problems and the environment to solve them.
• Flexible schedule and fully remote work from anywhere with reliable overlap to CET.
• 18 paid vacation days, 8 no-paperwork sick days, and 11 public holidays per year.
• Minimal bureaucracy, no micromanagement, and swift decision-making.
• Direct influence on strategy and the ability to see your experiments ship fast.
• Be part of a team that previously built and scaled successful businesses.

Hiring Process:

1. Intro Call
2. Interview with CEO
3. Offer
    

Key Responsibilities:

• Analyse and formalise requests from business and stakeholders; conduct sessions to clarify problems, goals, and context;
• Identify and decompose problems; apply techniques for information gathering and structuring (interviews, document analysis, observation, data analysis);
• Prepare and refine business and functional requirements;
• Create User Stories and Acceptance Criteria for tasks in Jira/YouTrack;
• Support the Product Owner in analysing, clarifying, and preparing requirements, as well as in managing priorities and task planning;
• Prepare and maintain up-to-date documentation in Confluence;Work with context — understand dependencies between tasks, systems, and teams;
• Participate in roadmap preparation and ensure consistency of product development plans;
• Verify the requirement implementation accuracy together with QA;
• Participate in daily stand-ups, planning sessions, and retrospectives;
• Use basic prototyping tools (e.g., Marvel, Figma, Miro) to clarify user flows and logic;
• Review final designs required for task definition;
• Collaborate with the development team to clarify implementation details;Keep the backlog and task statuses up to date.

Core Skills:

• Strong communication skills and the ability to solve problems diplomatically and build constructive team relationships;
• Understanding of SDLC, Agile, and Waterfall principles;
• Ability to formulate clear, testable requirements and Acceptance Criteria;
• Solid understanding of frontend technologies (HTML, CSS) and client-server interaction principles;
• Basic experience working with design systems and understanding how to use them to refine requirements;
• Proficiency with Jira, YouTrack, Confluence, or similar tools;
• Systemic thinking and the ability to see relationships between requirements and product goals;
• Attention to detail and strong analytical, structured thinking.
   

Additional Skills:

• Experience in fintech or trading systems will be a strong advantage (but not mandatory);
• 1–2 years of experience in IT projects (as a Business Analyst, Product Owner Assistant, or QA);
• Understanding of web platform and API principles;
• Ability to create simple diagrams (BPMN, Flowcharts, User Flows);
• Experience collaborating with QA teams.
   

Language Requirements:

• Intermediate English level for working with technical documentation and team communication.

We offer:

• An interesting project and non-trivial tasks that will allow us to show our professional attitude and creativity;
• Friendly team;
• Comfortable working schedule and working conditions;
• Opportunity to work remotely as well as in an office located in the city centre;
• Stable, competitive salary;
• Paid vacation and sick leaves;
• Opportunity for professional growth and career development;
• English, paid professional courses, coffee/fruits and other pluses :)

The Business Systems Analyst (Intelligent Process Automation) will be gathering project requirements as well as creating, designing, developing, and participating in the successful implementation of intelligent business process automation systems.

Required skills:

• 2+ years of experience in system or business analysis;
• Strong hands-on experience with SQL;
• Experience with typical integration patterns via DB, API, standard protocols (SOAP);
• Object modeling using UML;
• Strong analytical and systems thinking skills;
• Development or Architecture experience;
• Problem solving, attention to details, and result-oriented abilities;
• Experience in implementing automation processes and best practices in the development processes of the Product;
• Experience in Workflow Design;
• Experience in Business Process and Decision Flow Reengineering/Analysis;
• Experience in creating functional specifications;
• Strong skills working as part of a project team;

• Good spoken and written English.

   

Technical requirements:

• SQL (MSSQL/ORACLE/PostgreSQL);
• UML;

• HTML, XML.

   

Responsibilities:

• Improve computer systems and applications, which requires analysis and testing of all systems currently in use by the business.
• Design new computer programs and applications.
• Test and debug all current and new applications by the technical business analyst on a regular basis.
• Finding data and computer system risks and implementing new programming to address and eliminate these risks.
• Create data conversion scripts in order to digitally store data. Some highly sensitive information may need to be encrypted before it is entered into the system.
• Research data and write reports about computer systems, processes, and applications.
• Communicate verbally and in written form with other technical staff, informing them of potential risks and briefing them on newly created computer programs.
• Understand client’s business cases.
• Gather, analyze, organize and document requirements within the scope of the contract.
• Translate business requirements into technical ones for the development team.
• Manage requirements by creating use cases, specifications (including RTM, BRD, SRS, FRS), UML diagrams, wireframes, etc.
• Design UI forms and business process logic.
• Present the completed project to the client and gain their acceptance.
• Create user training manuals and other instructional guides.
• Train the end-users about the product during formal and informal presentations.
• Document any change requests from the client
• Explain the approved change requests to the development team

We’re hiring a Database Engineer to design, build, and operate reliable data platforms and pipelines. You’ll focus on robust ETL/ELT workflows, scalable big data processing, and cloud-first architectures (Azure preferred) that power analytics and applications.

What You’ll Do

• Design, build, and maintain ETL/ELT pipelines and data workflows (e.g., Azure Data Factory, Databricks, Spark, ClickHouse, Airflow, etc.).
• Develop and optimize data models, data warehouse/lake/lakehouse schema (partitioning, indexing, clustering, cost/performance tuning, etc.).
• Build scalable batch and streaming processing jobs (Spark/Databricks, Delta Lake; Kafka/Event Hubs a plus).
• Ensure data quality, reliability, and observability (tests, monitoring, alerting, SLAs).
• Implement CI/CD and version control for data assets and pipelines.
• Secure data and environments (IAM/Entra ID, Key Vault, strong tenancy guarantees, encryption, least privilege).
• Collaborate with application, analytics, and platform teams to deliver trustworthy, consumable datasets.

Required Qualifications

• ETL or ELT experience required (ADF/Databricks/dbt/Airflow or similar).
• Big data experience required.
• Cloud experience required; Azure preferred (Synapse, Data Factory, Databricks, Azure Storage, Event Hubs, etc.).
• Strong SQL and performance tuning expertise; hands-on with at least one warehouse/lakehouse (Synapse/Snowflake/BigQuery/Redshift or similar).
• Solid data modeling fundamentals (star/snowflake schemas, normalization/denormalization, CDC, etc.).
• Experience with CI/CD, Git, and infrastructure automation basics.

Nice to Have

• Streaming pipelines (Kafka, Event Hubs, Kinesis, Pub/Sub) and exactly-once/at-least-once patterns.
• Orchestration and workflow tools (Airflow, Prefect, Azure Data Factory).
• Python for data engineering.
• Data governance, lineage, and security best practices.
• Infrastructure as Code (Terraform) for data platform provisioning.

Our client promoting two products the online casino is currently seeking a Data Analyst.

Responsibilities:
• Performing ad-hoc research requests from stakeholders.
• Conducting product experiments. Making forecasts.
• Analyze ad-hoc requests and tasks.
• Automate routine queries and share data with other team members.
• Share user insights with different teams (marketing, retention, SEO, product, development).
• Apply new approaches to data visualization, data-driven storytelling, and share successes and failures with the analytics team.
• Take part in improving data infrastructure.

Qualifications:
• A minimum of 2+ years of experience as a Product/Data Analyst, relevant experience in data analytics with a focus on product metrics.
• Monitoring and analyzing key product and payment funnel metrics
• Working with user segments (incl. high-value customers)
• Identifying anomalies in KPIs and finding their root causes
• Generating hypotheses and uncovering growth opportunities
• Supporting the development of our BI infrastructure (database + dashboards)
• Contributing to business planning and modeling
• Knowledge in mathematical statistics and probability theory AB testing experience
• Advanced level of SQL.
• Advanced experience using Looker Studio, Power BI, Tableau, etc.
• Python.
• High level of communication skills.
• High level of self-organization, discipline, strategy, and result orientation.

Nice to have:
• Machine learning and other AI experience
• Experience with mobile games or gambling
• Experience in implementing a product metrics system or part of it.
• Amplitude, MixPanel.
• Participation in the creation of an analytical data warehouse.
 

About Us:

Liki24 is a marketplace of healthcare products and services.
Our mission is making health affordable and accessible for everyone.
We aim to deliver an exceptional customer experience, providing seamless access to various goods across multiple markets, enhancing customer satisfaction, and solidifying our place as a leading health and wellness marketplace.

We are looking for a highly analytical and data-driven Strategic Operations Manager to join our team and take ownership of category expansion on the Liki24 platform. This role is at the intersection of market research, operational testing, and commercial strategy — with a strong focus on scaling what works and finding new pockets of growth.

You’ll be responsible for identifying and launching new high-potential product categories, analyzing competitive positioning, and driving initiatives to expand our catalog and market footprint. You’ll work closely with supply, content, and marketing teams to validate hypotheses, refine our offering, and turn insights into real business impact.

What We’re Looking For:

• Strong research and analytical mindset — you ask why, not just what.
• Curiosity and critical thinking — you go deep and connect the dots.
• A structured and data-driven approach to solving business problems.
• Creativity and proactiveness — you take initiative and move ideas forward.
• Detail-oriented, persistent, and outcome-focused.
• Comfortable working independently, managing priorities, and owning results.
• 3+ years of experience in business analysis, commercial strategy, operations, category management, or marketplace roles.

Nice to Have:

• Experience in fast-paced e-commerce or marketplace environments.
• Understanding of customer behavior, sales funnels, and product merchandising.
• SQL or BI tools (Tableau, Power BI, Looker, etc.) — a big plus.

Key Responsibilities:

Research & Analysis (40%)

• Analyze internal and external market data: sales volume, demand, supply, competition, pricing, availability.
• Identify market trends, product gaps, and regional opportunities.
• Evaluate competitor offerings and delivery strategies

Operational execution (50%)

• Develop and test hypotheses to improve product sales and visibility.
• Adjust and localize our value proposition (pricing, bundling, visuals, copy, etc.).
• Collaborate cross-functionally with marketing, content, and supply teams to execute initiatives.
• Monitor impact and performance metrics across product categories.
• Iterate based on outcomes and generate new ideas to drive results

Strategic thinking (10%)

• Identify scalable approaches, playbooks, and tactics for expansion.
• Contribute to long-term strategic thinking on new markets, product lines, or customer segments. 

What We Offer:

• Opportunity to work in a global company with a strong social mission.
• Ability to transform your ideas into impactful realities.
• Chance to be part of an open-minded and innovative team.
• Exceptional opportunities for personal and professional growth.
• 20 paid vacation days, 21 paid sick leaves, and paid national holidays.
• Flexible schedule with the option to work from home.

We are making Health! If you’re excited about growth challenges, passionate about impact, and not afraid to experiment — join us!

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.

Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client we’re seeking a skilled Data Engineer / Software Developer with deep experience in building, maintaining and optimizing reproducible data processing pipelines for large-scale scientific data (bioinformatics, genomics, proteomics, or related domains). The successful candidate will bridge computational engineering best practices with biological data challenges, enabling scientists to move from raw data to reliable insights at scale.

You will work with interdisciplinary teams of researchers, computational scientists, and domain
experts to design end-to-end workflows, ensure data quality and governance, and implement
infrastructure that powers scientific discovery.

Prior experience with Nextflow or similar workflow systems is strongly preferred.

Key Requirements:
🔹 Experience with NextFlow and bioinformatics pipelines;
🔹 Strong programming skills in languages such as Python;
🔹 Experience with data processing and pipeline development;
🔹 Familiarity with Linux environments, cloud computing workflows;

Domain Experience:
🔹 Prior work in scientific data environments or life sciences research (genomics/proteomics/high-throughput data) is highly desirable;

Soft Skills:
🔹 Strong problem-solving, communication, and organization skills; ability to manage multiple projects and deliverables;
🔹 Comfortable collaborating with researchers from biological, computational, and engineering disciplines;
🔹 English – Upper-Intermediate or higher.

Will be plus:
🔹 Experience with cloud-based infrastructure and containerization (e.g., Docker);
🔹 Familiarity with AI and machine learning concepts;
🔹 Experience with agile development methodologies and version control systems (e.g., Git);

What you will do:
🔹 Design, develop, and maintain high-performance, portable data pipelines using NextFlow;
🔹 Collaborate with data scientists and researchers to integrate new algorithms and features into the pipeline;
🔹 Ensure the pipeline is scalable, efficient, and well-organized;
🔹 Develop and maintain tests to ensure the pipeline is working correctly;
🔹 Work with the DevOps team to deploy and manage the pipeline on our infrastructure;
🔹 Participate in design meetings and contribute to the development of new features and algorithms;

Interview stages:
🔹 HR Interview;
🔹 Technical Interview;
🔹 Reference Check;
🔹 Offer;

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

Quantum is a global technology partner delivering high-end software products that address real-world problems.

We advance emerging technologies for outside-the-box solutions. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.

Here at Quantum, we are dedicated to creating state-of-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organizations globally attain technological leadership.

We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn’t yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!

About the position

Quantum is expanding the team and has brilliant opportunities for a Senior Data Science / LLM Engineer. The client is a technological research company that utilizes proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become “super-investors.”

Through our generative AI technology implemented into brokerage platforms and other financial institutions’ infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.

Must have skills:

• 3+ years of commercial experience as a Data Science Engineer
• Strong knowledge of linear algebra, calculus, statistics, and probability theory
• Knowledge and experience with algorithms and data structures
• 2+ years of experience with LLM and Natural Language Processing-related tasks
• Knowledge of modern DL architectures
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• Experience with SQL
• Strong knowledge of OOP
• At least an Upper-Intermediate level of English (spoken and written)

Nice to have skills:

• Experience with production ML/DL frameworks (OpenVino, TensorRT, etc.)
• Docker practical experience
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Participation in Kaggle competitions

Your tasks will include:

• Full-cycle data science projects
• Data analysis and data preparation
• Development of NLP solution and AI-based chatbots
• Developing models and deploying them to production
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains

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

Join Quantum and take a step toward your data-driven future.

Project Description

A program of projects within the Energy domain. We will work on various applications covering generation control, distribution control, transmission control, and service crews control. The implementation area of these products is very high-scale (e.g. country-wide systems).

We are seeking an experienced Senior/Lead BA to join our program team. The BA will play a pivotal role in driving business analysis activities, ensuring accurate requirement gathering, and bridging the gap between business stakeholders and the technical team. The ideal candidate will have proven expertise in conducting discoveries, both onsite and remotely, with experience in the energy and/or manufacturing domains.

Requirements:

• 4+ years of experience as a Business Analyst, with at least 2 years in a Senior/Lead role.
• Strong experience in gathering, analyzing, and specifying requirements.
• Proven experience with discovery phases, both remote and onsite.
• Deep understanding of customer needs and ability to translate them into business/technical requirements.
• Excellent communication skills and advanced English proficiency (both written and spoken).
• Experience in energy and/or manufacturing domains.
• Ability and willingness to travel abroad for short-term business trips.

Job Responsibilities

Lead requirements gathering, analysis, documentation, and validation for the project(s).
Conduct discovery workshops (onsite and remote) with business stakeholders and SMEs to identify needs and expectations.
Translate business needs into clear and detailed functional and non-functional requirements.
Anticipate and identify corner cases, edge scenarios, and potential gaps in requirements, proposing solutions.
Act as a bridge between stakeholders and delivery teams, ensuring alignment of business goals with technical solutions.
Support prioritization of requirements and manage the product backlog where required.
Ensure compliance with client's internal processes.
Participate in client meetings, presentations, and workshops, including international travel.

🧭 What makes you a great match:

• 2+ years of experience as a Data, Product, or Performance Analyst in iGaming;
• Solid understanding of product and business metrics (KPIs, Funnels, Retention, Revenue, Conversion, etc.);
• Proven track record in troubleshooting metric drops, analyzing instability, and identifying root causes;
• Strong command of SQL (PostgreSQL / BigQuery), including complex queries, joins, and aggregations;
• Experience building and maintaining dashboards in Tableau, Looker Studio, or similar tools;
• Practical experience using Python for data analysis (Pandas, Numpy);
• Advanced proficiency in Excel / Google Sheets for rapid data validation and hypothesis testing.

📋 Your daily adventures:

KPI Monitoring & Reporting

• Continuously track key product and business KPIs to ensure data health;
• Identify deviations from expected values and ensure timely, accurate reporting;
• Maintain the integrity of analytical dashboards.

Performance Gap & Root Cause Analysis (RCA)

• Investigate drops or fluctuations in metrics to distinguish symptoms from core issues;
• Conduct deep-dive analyses to explain performance changes and provide clear, data-backed answers;
• Establish the root causes of performance shifts rather than just reporting symptoms.

Benchmarking & Optimization

• Establish benchmarks based on historical data to evaluate current performance;
• Compare results against internal standards to identify opportunities for growth and optimization;
• Track performance trends over time to predict potential risks.

Actionable Insights & Recommendations

• Translate complex data sets into clear, narrative insights for stakeholders;
• Highlight both "red flags" and success stories, proposing specific actions to improve KPIs;
• Turn raw data into actionable business strategies.

Cross-functional Collaboration

• Partner with Product, Marketing, and Finance teams to align analytics with business objectives;
• Empower teams to make data-informed decisions through clear communication;
• Help stakeholders better understand data trends and their direct impact on the business.

Benefits

💸 Flexible payment options: choose the method that works best for you;
🧾 Tax assistance included: we handle part of your taxes and provide guidance on the local setup;
🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care;
📈 Learn & grow: We cover courses and certifications — and offer real opportunities to grow your career with us;
🥐 Benefit Сafeteria: Choose what suits you — sports, language courses, therapy sessions, and more;
🎉 Stay connected: From team-building events to industry conferences — we bring people together online, offline, and on stage;
💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow;
🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 — we care about results, not clock-ins.

About the Role

Our client are developing a platform where AI agents are assembled, configured, and deployed by non-technical users — yet under the surface, these agents rely on deep, carefully engineered logic.

This role sits exactly at that intersection.

You will not be building traditional backends or APIs. Instead, you will design and implement the decision-making layer that defines how AI agents think, react, switch states, and interact with external systems during real conversations.

⚠️ Important clarification:
This is not a Python-first engineering position. While general programming knowledge matters, your daily work will revolve around a custom scripting environment, built on top of Jinja2, used to express complex logic, data transformations, and conversation control. If your primary interest is writing application code in standard frameworks, this role will likely feel uncomfortable. If you enjoy mastering unconventional tools to shape complex system behavior, it will feel rewarding.

What You’ll Be Responsible For

• Designing agent behavior logic
  Build advanced conditional flows, branching paths, and state-aware logic that governs how an AI agent behaves across multi-turn conversations.
• Managing conversation state
  Ensure agents correctly track context, user intent, and system state across interruptions, retries, and edge cases.
• Integrating external systems
  Define how agents exchange data with third-party services (e.g. CRMs, calendars, booking tools) by constructing structured payloads and interpreting responses.
• Creating reusable logic components
  Develop configurable modules that can be reused across many agents by non-technical users without breaking consistency or reliability.

• Troubleshooting and performance tuning
  Investigate unexpected agent behavior (loops, dead ends, incorrect decisions) and optimize logic execution for fast response times in voice-based scenarios.

   

What We’re Looking For

• Strong logical and algorithmic thinking — you are comfortable reasoning about conditions, branching, recursion, and state machines
• Deep experience with templating or embedded logic systems (Jinja2 or similar), including non-trivial data manipulation inside templates
• High confidence working with JSON and complex nested data structures
• Willingness to learn and specialize in a non-standard, proprietary scripting language and become an internal expert

• Ability to work fluently in Russian, with professional-level English

   

Nice to Have

• Experience in solution engineering, implementation roles, or technical consulting
• Background with configuration-driven or low-code systems (e.g. workflow builders, automation platforms)

• Familiarity with Python or other general-purpose languages (for reasoning, not for day-to-day coding)

   

Why This Role Is Unusual

You won’t be shipping endpoints or UI features.
You will be shaping how AI agents reason, decide, and act — in systems where small logic mistakes can break an entire conversation.

If you enjoy building order inside complex, dynamic behavior — this role was designed for you.

At WhiteTech, we empower businesses in the financial ecosystem with cutting-edge white-label and SAAS solutions.

Our comprehensive suite of tools is tailored for EMI, PSP, e-commerce, and open banking platforms. With WhiteTech, clients gain access to a platform designed for flexibility, scalability, and seamless integration. 👩‍💻

Our mission is to help businesses unlock their full potential in a rapidly evolving financial landscape.

Whether scaling your PSP, enhancing your EMI services, or diving into open banking, WhiteTech is your partner for innovation and growth. 🙌

We are a remote-first technology company and welcome applications from candidates across Europe, including the EEA, the UK, Switzerland, and other non-EEA European countries such as Ukraine, Moldova, Georgia, Armenia, Montenegro, Turkey, and the Western Balkans. We also consider applicants from different locations who can work within Central European Time (CET).

Your role and impact:

As a Business Analyst at WhiteTech, you will contribute to conducting detailed business analysis, understanding market dynamics, and enhancing our product offerings. By working closely with internal teams and external partners, you will ensure our products not only meet but exceed the evolving needs of our customers. We are looking for someone who is detail-oriented, proactive and innovative, able to learn and adapt quickly.

Your key responsibilities:

• Conducting comprehensive business analysis for diverse fintech projects and initiatives.
• Analyzing industry trends, market conditions, and competitor strategies for benchmarking purposes.
• Collecting and prioritizing the product requirements from stakeholders and the focus groups.
• Developing detailed use cases, user stories, and documentation to outline product features and functionalities.
• Identifying and addressing gaps in current products and processes.
• Working with third-party developers to integrate API and SDK products.
• Providing technical support to internal sales, operations units, and partner engineering teams.
• Participating in troubleshooting, testing, launching, and monitoring post-integration of solutions.
• Creating technical documentation, integration manuals, guidelines, user manuals, and training materials for clients.
• Managing internal knowledge transfer and conducting product demonstrations to stakeholders.

Requirements & Skills:

• Bachelor’s Degree in Computer Science, Information Technology, Business Administration, Finance, or a related field.
• At least 2 years experience as a Business Analyst or Product Manager.
• Familiarity with both B2B and B2C environments.
• Knowledge of business analysis requirements, project management principles, practices, techniques, and tools.
• Understanding of basic usability principles and UI/UX design (Figma).
• Experience with SQL and basic knowledge of HTML, CSS, JavaScript.
• Strong proficiency in Jira, Confluence, Miro, UML, and Google tools (Docs, Sheets, etc.).
• Experience in creating mockups and sketches for user interfaces.
• Excellent communication skills, capable of engaging effectively with both technical and non-technical stakeholders.
• Understanding of Agile methodologies.
• Strong analytical, and problem-solving skills.
• At least an Upper-intermediate level of English.

‼️Our recruitment process typically follows these stages:

1. Application screening
2. Interview Stages (2-3 weeks):
   • Prescreening call (40 min)
   • Technical Assignment (up to 3 hours)
   • Technical Interview with PM (60 min)
   • Final Interview with Head of PMO (60 min)
3. Job Offer
4. Referrals: Employment and Background Check

We offer: 

• Competitive compensation package (commensurate with your experience)
• 19 business days of flexible Paid Time Off (PTO)
• Fully remote work with flexible hours (within the CET time zone) from any location of your choice
• Values-driven culture with a friendly and supportive work environment
• Opportunity to regularly participate in conferences and community events as both a participant and contributor
• Matrix organizational structure designed to streamline communication, remove barriers, and promote efficiency

Embrace the opportunity to develop your skills in a cutting-edge fintech environment.

Please apply now to be part of our dynamic team and make a tangible impact on the future of payments!

Company

Zoot is a global provider of cloud-based instant credit decisioning, risk management, loan origination, workflow and case management solutions. For more than 30 years our innovative tools and services have enabled Zoot clients – leading banks, payment service providers, automobile and asset finance companies – to meet and exceed their business objectives. Zoot enables their clients to adapt faster than their peers to successfully seize market opportunities. Zoot’s clients benefit from unrivalled reliability via a highly scalable private cloud-based service that processes billions of real-time decisions annually.
Over the past 15 years, Zoot has achieved remarkable growth in Europe, establishing offices across Switzerland, Germany, the United Kingdom, and Ukraine, while building a team of over 50 exceptionally talented individuals.

Responsibilities

• Administer and support high-availability geographically distributed InnoDB MySQL real-time cluster processing millions of queries each day.
• Continuously optimise DBMS setup and configuration to support growing data volumes while ensuring maximum stability and availability.
• Consult solution developers when implementing sophisticated database access layers for the application servers: including fine tuning database structures, indexes, clustering, etc.
• Develop, optimise and run database scripts to support ad-hoc requests.
• Monitor health of all database instances; report and create regular reports on database cluster and databases state.
• Serve as a subject matter expert during troubleshooting incidents.
• Manage and maintain MySQL clusters for test environments.
• Experience with setup, administration and maintenance of No-SQL database systems.
• Oversee procurement and renewal of software, licenses, and support services.
• Execute maintenance activities for all database clusters during dedicated maintenance windows.

Profile

• University degree in Computer Science or relevant technical field, or equivalent practical experience.
• Strong desire and ability to learn, grow, and continuously improve.
• Hands-on experience with setup, configuration, maintenance and troubleshooting of MySQL databases (and InnoDB in particular) - 4 years or more. Experience with No-SQL databases is beneficial.
• Practical experience working with Linux servers – preferably Oracle Linux.
• Experience with collaboration and documentation tools: MS Office, Confluence and ticketing systems like JIRA.
• Accurate and analytical working style with high attention to detail.
• Basic understanding of data protection and data security best practices.
• Upper-intermediate English.

Zoot Offers

• Competitive salary and a high-quality working environment.
• Know-how, professionalism, and an international market-leading reputation.
• Interesting and challenging international clients and projects.
• Highly motivated, highly qualified team of friendly colleagues.
• Flexible working schedule.
• Financial support for relevant certifications and professional events.

Responsibilities:

• Analyze and document current business processes (AS IS) and design target processes (TO BE).
• Identify opportunities to optimize processes and automate with a strong focus on business value.
• Gather, structure, and document functional and non-functional requirements.
• Prepare and maintain technical documentation (BRD, SRS, User Stories, Acceptance Criteria).
• Support the development lifecycle by collaborating closely with developers and QA during implementation.
• Analyze and re-engineer existing business processes, including decision-making workflows.
• Contribute to product discovery, solution design, and delivery.

Requirements:

• 1+ year of experience as a Business Analyst or Business Process Analyst (mandatory).
• Hands-on experience in software development or automated testing (mandatory).
• Strong understanding of the Software Development Life Cycle (SDLC).
• Proven experience in requirements elicitation and documentation.
• Solid knowledge of BPMN 2.0 and UML.
• Understanding of APIs and web services; experience working with integrations.
• Experience in business process re-engineering and optimization.

Will Be a Plus

• Experience with CRM, ERP, financial systems, or enterprise platforms.
• Experience working in Agile teams (Scrum/Kanban).
• Strong stakeholder communication and facilitation skills.