Jobs at Djinni

Are you passionate about building scalable, high-performance data solutions? We are looking for a Data Engineer to join our team and help design and develop robust data platforms that power analytics, reporting, and data-driven decision-making.

Why join us? You will work on challenging projects, collaborate with talented experts, and have access to professional growth opportunities, a supportive environment, and competitive benefits.

Responsibilities:

• Design and develop scalable, reliable data platforms and pipelines for analytics and operations

• Implement data processing workflows using distributed frameworks (Apache Spark/pySpark, Databricks)

• Evolve the organization’s cloud data platform leveraging Azure technologies (Data Factory, Synapse, Event Hub, Azure Data Lake Storage)

• Model data to support analytics, reporting, and downstream consumption

• Integrate and process data from multiple sources ensuring quality and consistency

• Monitor and optimize pipeline performance, ensuring reliability and scalability

• Collaborate with analysts, scientists, and engineers to translate requirements into solutions

• Improve data engineering standards, testing, and operational reliability

• Evaluate and introduce new tools and technologies in the data engineering ecosystem

Requirements:

• 4+ years of hands-on experience in data engineering or building data processing platforms

• Strong SQL skills and solid Python experience for pipeline development

• Experience with distributed processing frameworks (Apache Spark/pySpark, Databricks preferred)

• Practical experience designing and implementing pipelines in cloud environments (Azure preferred)

• Experience with production-scale analytical systems and data modeling

• Understanding of ETL/ELT design, dimensional modeling, and data warehousing principles

• Experience with modern data lake architectures and formats (Parquet, JSON)

• Familiarity with workflow orchestration tools (Airflow)

• Experience with database development and optimization

• Ability to design scalable solutions with minimal supervision

• Strong collaboration and communication skills

• Professional proficiency in English

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Чи захоплюєтеся ви створенням масштабованих високопродуктивних рішень для роботи з даними? Ми шукаємо Data Engineer, який приєднається до нашої команди та допоможе проєктувати й розробляти надійні платформи даних для аналітики, звітності та ухвалення рішень на основі даних.

Чому варто приєднатися до нас? Ви працюватимете над складними проєктами, співпрацюватимете з талановитими фахівцями та матимете доступ до можливостей професійного розвитку, підтримувального робочого середовища й конкурентного пакета переваг.

Обов’язки:

• Проєктувати та розробляти масштабовані й надійні платформи даних і конвеєри даних для аналітики та операційної діяльності.

• Реалізовувати процеси обробки даних за допомогою розподілених фреймворків (Apache Spark/PySpark, Databricks).

• Розвивати хмарну платформу даних організації з використанням технологій Azure (Data Factory, Synapse, Event Hub, Azure Data Lake Storage).

• Моделювати дані для підтримки аналітики, звітності та подальшого використання даних.

• Інтегрувати й обробляти дані з різних джерел, забезпечуючи їхню якість і узгодженість.

• Відстежувати та оптимізувати продуктивність конвеєрів даних, забезпечуючи їхню надійність і масштабованість.

• Співпрацювати з аналітиками, науковцями та інженерами, перетворюючи вимоги на технічні рішення.

• Удосконалювати стандарти інженерії даних, підходи до тестування та операційну надійність.

• Оцінювати й упроваджувати нові інструменти та технології в екосистемі інженерії даних.

Вимоги:

• Понад 4 роки практичного досвіду в інженерії даних або розробці платформ для обробки даних.

• Впевнене володіння SQL і ґрунтовний досвід роботи з Python для розробки конвеєрів даних.

• Досвід роботи з фреймворками для розподіленої обробки даних (Apache Spark/PySpark, бажано Databricks).

• Практичний досвід проєктування та реалізації конвеєрів даних у хмарних середовищах (бажано Azure).

• Досвід роботи з аналітичними системами промислового масштабу та моделюванням даних.

• Розуміння принципів проєктування ETL/ELT-процесів, багатовимірного моделювання та побудови сховищ даних.

• Досвід роботи із сучасними архітектурами озер даних і форматами даних (Parquet, JSON).

• Знайомство з інструментами оркестрації робочих процесів (Airflow).

• Досвід розробки та оптимізації баз даних.

• Здатність проєктувати масштабовані рішення з мінімальним наглядом.

• Розвинені навички співпраці та комунікації.

• Професійний рівень володіння англійською мовою.

VIP Manager / VIP Account Manager | iGaming
 

Build trusted relationships through attentive service, relevant communication and a strong understanding of each player.

The role combines personalised service, retention and coordination with internal teams.

You will need to understand player needs, follow through on requests and make commercially sound decisions within approved policies and responsible gaming boundaries.

What you will do:
• Manage an assigned portfolio of VIP players.
• Build consistent, personalised communication through approved channels.
• Understand player preferences, activity patterns and service expectations.
• Identify changes in engagement and take appropriate retention or reactivation actions.
• Prepare individual offers within approved limits and policies.
• Coordinate payment, account and technical requests with the relevant teams.
• Keep accurate CRM records and follow up on outstanding issues.
• Analyse portfolio activity, retention and the effectiveness of personal offers.
• Escalate service, payment and account issues promptly.
• Follow KYC, AML, privacy and responsible gaming procedures.
• Recognise situations where player protection must take priority over commercial activity.

What we are looking for:
• Experience in VIP management or high-value player account management within iGaming.
• Strong written and spoken English for direct player communication.
• Ability to build relationships while maintaining professional boundaries.
• Confidence handling sensitive requests and difficult conversations.
• Understanding of retention, personal offers and bonus efficiency.
• Accuracy when working with CRM records and confidential information.
• Experience with Canada, Australia or New Zealand will be particularly relevant.

What makes this role interesting:
• Personal ownership of player relationships.
• A combination of service, retention and commercial analysis.
• Exposure to three English-speaking markets.
• Work where consistency, judgement and follow-through make a visible difference.

To apply, send your CV and briefly describe your experience managing VIP players, including the markets and your personal responsibilities.

Head of Affiliate | iGaming | LATAM

Build an affiliate channel around valuable partnerships, quality traffic and sustainable growth.

We are looking for a Head of Affiliate to lead partner acquisition and development across LATAM. The role requires a strong commercial mindset, an understanding of affiliate economics and the ability to turn relationships into consistent business results.

You will work across the full partnership cycle: market mapping, outreach, negotiations, launch, optimisation and long-term development.

What you will do:
• Develop an affiliate growth strategy for priority LATAM markets.
• Identify and attract relevant affiliates, publishers and media buying teams.
• Negotiate CPA, RevShare and Hybrid agreements based on traffic quality and unit economics.
• Build a structured partner pipeline and prioritise commercial opportunities.
• Coordinate partner onboarding, tracking setup and campaign launches.
• Analyse partner performance beyond registrations and first deposits.
• Monitor player quality, retention, revenue contribution and payback.
• Identify underperforming sources and agree on optimisation plans.
• Work with analytics, product, finance and risk teams on tracking, reconciliation and traffic quality.
• Establish clear workflows, reporting and performance standards for the affiliate function.

What we are looking for:
• Experience in affiliate marketing within online casino or sportsbook.
• Practical experience acquiring and developing partners in LATAM.
• Experience leading an affiliate function, team or market direction.
• Strong negotiation skills and understanding of CPA, RevShare and Hybrid models.
• Ability to assess partner performance using commercial and player-quality metrics.
• Understanding of tracking, attribution and common traffic-quality issues.
• Evidence of partnerships you personally sourced, launched or scaled.
• Willingness to stay involved in negotiations and key partner relationships.

What makes this role interesting:
• Responsibility for both partner development and channel performance.
• A regional focus with room for a market-specific approach.
• Commercial decisions supported by player-quality and revenue data.
• The opportunity to build repeatable processes around a relationship-driven channel.

To apply, share your CV and a brief example of a LATAM partnership you personally developed, including your role and the business outcome.

Head of CRM & Retention | iGaming | LATAM

Turn player insights into a retention strategy that delivers measurable business growth.

We are looking for a Head of CRM & Retention to lead the player lifecycle across LATAM markets. This role combines strategic ownership with hands-on execution: understanding player behaviour, identifying opportunities and turning them into relevant communication, stronger engagement and sustainable revenue.

Your scope will cover activation, repeat deposits, retention and reactivation, with a clear focus on the commercial impact of CRM activities.

What you will do:
• Develop and execute a CRM and retention strategy tailored to individual LATAM markets.
• Build lifecycle journeys from registration and first deposit through repeat activity and reactivation.
• Segment players by behaviour, value, lifecycle stage and engagement.
• Develop trigger-based and promotional campaigns across relevant CRM channels.
• Own the promotional calendar and evaluate bonus efficiency.
• Define reporting for retention, churn, repeat deposits, LTV and campaign performance.
• Run experiments using clear hypotheses, control groups and measurable success criteria.
• Work with product, analytics, acquisition and customer-facing teams to improve the player experience.
• Set priorities and quality standards for CRM execution.
• Ensure communication respects player preferences and responsible gaming requirements.

What we are looking for:
• Experience owning CRM or retention activities in an online casino or sportsbook.
• Practical experience with LATAM audiences and the ability to explain how your approach differed between markets.
• Experience leading a CRM function, team or substantial cross-functional initiatives.
• Strong understanding of lifecycle marketing, segmentation, automation and bonus mechanics.
• Ability to connect campaign performance with player value and business outcomes.
• Confidence working with CRM platforms, dashboards and analytical teams.
• A hands-on approach to testing, troubleshooting and improving campaigns.

What makes this role interesting:
• Ownership across the full player lifecycle.
• A combination of strategic decisions and practical execution.
• The opportunity to shape CRM priorities around evidence and commercial impact.
• A regional focus that requires meaningful localisation rather than direct translation.

To apply, share your CV and one example of a retention initiative you personally led: the market, the challenge, your actions and the result.

At MacPaw, we craft software that makes everyday tech life simpler, cleaner, and more enjoyable. From globally loved products like CleanMyMac and Setapp to emerging cybersecurity tools like ClearVPN and Moonlock, we are building a product ecosystem that reaches millions of people worldwide.

We believe humans and technology can reach their greatest potential together. By fusing high engineering standards, thoughtful design, and practical AI, we rethink how people interact with their devices and shape the daily tech routines of the future.

Working at MacPaw means owning outcomes, not just tasks. We build for global scale from day one, giving you the trust, freedom, and room to experiment.

We are looking for a Senior Accountant who genuinely enjoys bringing order to complex financial data, digging into standard interpretations, and building smooth reporting workflows across international entities.
The core of this role is group-level controlling, IFRS methodology, and audit management. Entity teams handle day-to-day accounting and operational closes, so your job is to set clear policies, verify entity submissions, and lead external audits. We also expect you to use AI tools in your daily work to draft policies, analyze contracts, and speed up routine tasks.

In this role, you will

• Lead group-level audit workstreams end-to-end, prepare audit-ready schedules, and partner directly with external auditors to resolve complex queries independently.
• Evaluate non-routine or complex group transactions against IFRS standards, analyze judgmental areas, and document formal accounting conclusions.
• Draft and update clear Group Accounting Policies and turn rigid standards into practical, step-by-step guidance for local finance teams.
• Review and challenge monthly entity reporting submissions to spot policy discrepancies, ensure data integrity, and clear differences before group consolidation.
• Identify control gaps across group reporting processes, design robust internal controls, and document them to support board and executive reporting readiness.
• Leverage AI tools to speed up document reviews, policy drafting, and audit evidence analysis while keeping data usage responsible and compliant.

Skills you’ll need to bring

• 4+ years of accounting or finance experience in an international or multi-entity environment.
• Strong technical IFRS expertise with the ability to reason directly from standards and navigate differences with local GAAPs.
• Hands-on track record of leading group audits, driving auditor communications, and managing queries through to final sign-off.
• Proven ability to design, write, and roll out practical group-level accounting policies and guidelines.
• Solid background in group accounting controlling, reviewing multi-entity submissions, and maintaining overall balance sheet integrity.
• Active experience using AI tools in daily work to improve speed and quality, from policy drafting to contract review.
• Advanced Excel skills and strong confidence working with ERP systems for consolidating and analyzing multi-entity data.
• Advanced English and native Ukrainian to present financial data clearly to international stakeholders, board members, and external auditors.
• Strong individual-contributor accountability, proactive problem-solving, and comfort operating through ambiguity.

As a plus

• Background in Big-4 / audit firm or hands-on financial statement preparation and close processes
• Professional accounting qualification or active progress toward ACCA, DipIFR, CIPA, or CPA.
• Practical experience in multi-entity consolidation, intercompany eliminations, and FX accounting
• Hands-on familiarity with Odoo or similar ERP systems, plus data automation skills like SQL or BigQuery.

What we offer:

• We are a Ukrainian company, and we stand with Ukraine against the russian aggression
  We maintain workplaces for the mobilized Macpawians and provide financial support to colleagues or their families affected by the war. Here, you can also read about the MacPaw Foundation, which intends to help save the lives of Ukrainian defenders and provide relief to as many civilians as possible.
• We are committed to our veterans
  Our Veteran Career and Empowerment Program is designed to ensure our veterans and active military personnel receive the recognition, support, and opportunities they deserve.
• Hybrid work model
  Whether to work remotely or at the hub is entirely up to you. If you decide to mix it, our Kyiv office, which works as a coworking space, is open around the clock. The office is supplied with UPS and Starlink for an uninterrupted work process.
• Your health always comes first
  We guarantee medical insurance starting on your first working month. For those abroad, you can receive a yearly Medical insurance allowance as compensation for managing your medical expenses.
• Flexible working hours
  You can choose a schedule that is comfortable for you. No one here tracks your clock in/out because MacPaw is built on trust and cooperation.
• Space to grow both professionally and personally
  Education opportunities to grow both hard and soft skills, annual development reviews, and internal community.
• Teams we are proud of
  We build honest, transparent, and reliable relationships within teams. Every Macpawian can improve processes and implement their ideas. We encourage open and constructive feedback and provide training for Macpawians on giving and receiving feedback.
• Office designed for people (and pets)
  Our office has it all: a spacious workplace with enough room for sitting up, lying down, and running around; a gym for recreation; cozy kitchens; a sleeping/meditation room; and a terrace with a view where we throw summer parties. Also, we have two cats living in the office, and you are welcome to bring your pets to the office (we have separate floors for cats and dogs).
• Time-off policy that covers life’s needs
  Convenient personal time-off policy to help you take care of essential matters in your personal life, and parental leaves. On top of all that, sabbaticals are open after 5 years of being with MacPaw.
• Join social initiatives with MacPawCares
  MacPaw participates in numerous humanitarian aid and charity projects across many fields, and you are welcome to jump in to make the world a better place.
• We’re an equal-opportunity employer. Here is a safe place for applicants of all backgrounds
  We are hiring talented humans. Meaning with all our variety of backgrounds and identities, including service members and veterans, women, members of the LGBTQIA+ community, individuals with disabilities, and other often underrepresented groups. MacPaw does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  
  *Some benefits are under development, and new adjustments are possible.

RISK inc: An International iGaming Company Pushing the Boundaries of Entertainment

Who We Are: An international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 1000+ professionals in 20+ locations, we operate in 10 countries, serving over 300,000 customers.

Always Pushing the Boundaries? You Already Belong at RISK!

Our global-scale operations are based on strong internal expertise, analytics, and data research. We have expertise in iGaming operations (sports betting, online casino), digital and affiliate marketing, tech solutions, and data analytics.

We are looking for a Senior Product Manager to join our team.

Responsibilities:

• Manage and develop products across multiple brands and GEOs;
• Analyze user behavior, product funnels, and key business metrics;
• Identify product opportunities and bottlenecks through data, user research, and competitor analysis;
• Generate, validate, and prioritize product ideas that improve user experience and business results;
• Own initiatives from problem definition and requirements to release and post-launch analysis;
• Prepare clear product requirements, specifications, and user stories;
• Drive releases, identify blockers, and ensure tasks move forward;
• Work closely with CRM, Marketing, Analytics, Design, Content, and Technical teams;

• Participate in product roadmap planning and prioritization, bringing data-driven recommendations.

   

Requirements:

• 4+ years of Product Management experience, including hands-on experience with B2C products in iGaming;
• Strong understanding of online casino and/or sportsbook products, user journeys, and key metrics;
• Data-driven approach and experience evaluating product decisions through metrics, A/B tests, or alternative measurement methods;
• Strong ownership and ability to independently drive initiatives and remove blockers;
• Ability to work effectively in a fast-changing environment with multiple priorities;
• Strong technical understanding of platform capabilities, integrations, dependencies, and product constraints;
• Ability to balance user value, technical feasibility, and implementation effort when shaping product solutions;
• Fluent Ukrainian or Russian for internal communication;

• English - Intermediate or higher.

   

Will be a plus:

• Experience with Tableau or other BI tools;
• Experience with new market or product launches.

Our Benefit Cafeteria is Packed with Goodies:

• Children Allowance
• Mental Health Support
• Sport Activities
• Language Courses
• Automotive Services
• Veterinary Services
• Home Office Setup Assistance
• Dental Services
• Books and Stationery
• Training Compensation
• And yes, even Massage!

Ready to Take the Leap?

Join a team where every day is an opportunity to take a RISK and come out on top. Follow us on LinkedIn and Instagram, and let us be your hub for turning ambitious ideas and extraordinary solutions into reality.

This is not a traditional fullstack development assignment. Client requires specialists capable of combining established software engineering practices with the design, integration and optimisation of AI-powered functionalities within business-critical banking applications.

The candidates will initially support the maintenance, stability and continuous improvement of existing applications. Over time, they will progressively assume full responsibility for implementing new functionality and translating business requirements into production-ready solutions.

Key responsibilities:
1. Maintain, troubleshoot and continuously improve existing applications and services to ensure stability, performance and reliability.
2. Independently analyse business requirements, design solutions and implement new application features and enhancements.
3. Contribute to the design, development and continuous improvement of AI-powered application functionalities.
4. Support the architecture and implementation of intelligent chatbot solutions powered by Large Language Models.
5. Develop and integrate application interfaces to enable reliable communication between internal systems, external platforms and AI services.
6. Participate in architectural decisions concerning application scalability, infrastructure, maintainability and security.
7. Support deployment, operation and optimisation of applications within cloud-native and containerised environments.
8. Collaborate closely with developers, architects, business stakeholders and other cross-functional team members.
9. Work within an Agile/Scrum environment, participating in planning, refinement, implementation and delivery activities.
10. Apply secure development practices, including protection against misuse, inappropriate content and unauthorised access.
11. Ensure that implemented solutio

Must-haves:
1. Python development: Strong professional experience developing, maintaining and optimising backend services using Python. Candidates must be capable of independently implementing complex business logic and delivering reliable, maintainable applications.

2. Angular 21+: Hands-on experience developing modern frontend applications using Angular version 21 or newer, including implementing new features, maintaining existing components and integrating frontend applications with backend services.

3. Fullstack software engineering: Proven ability to work across frontend and backend components, understand end-to-end application architecture and deliver complete functional solutions.

4. AI and LLM integration: Practical experience designing, developing and integrating AI-powered application components, particularly solutions based on Large Language Models.

5. LangChain and LangGraph: Hands-on experience with both frameworks to develop, orchestrate and manage LLM-driven workflows, application logic and AI-based interactions.

6. MCP and A2A: Practical experience with Model Context Protocol (MCP) and Agent-to-Agent (A2A) technologies for connecting AI systems, external tools and agent-based functionalities.

7. LLM chatbot development: Experience designing and implementing LLM-powered chatbot solutions, including conversation handling, integration with existing systems and production deployment.

8. Prompt Engineering: Ability to design, structure, test and optimise prompts to improve the quality, consistency, reliability and relevance of AI-generated responses.

9. OpenAI integration: Experience integrating OpenAI or comparable AI platforms into software applications through APIs and related integration mechanisms.

10. AI solution architecture: Understanding of architectural patterns for building secure, reliable, scalable and maintainable AI-powered software solutions.

11. Containerisation and orchestration: Practical experience with OpenShift, Kubernetes and Docker for deploying, managing and maintaining containerised applications.

12. GitLab and Helm: Experience using GitLab within software development workflows and Helm for managing application deployments in Kubernetes environments.

13. PostgreSQL: Experience working with PostgreSQL databases, including application integration, data persistence and database-related development activities.

14. REST API development: Strong experience designing, developing, integrating and maintaining REST APIs and other application interfaces.

15. Network infrastructure and security: Good understanding of networking principles, infrastructure components, secure communication and relevant application security concepts.

16. AI application security: Experience implementing security and protection mechanisms, specifically:
- Rate limiting to control request volumes and prevent misuse.
- Spam protection to reduce malicious or unwanted interactions.
- Guardrails to control AI behaviour and enforce application policies.
- Content filtering to prevent inappropriate or prohibited outputs.
- Content moderation to identify and manage potentially harmful user inputs and AI-generated content.
17. Agile/Scrum: Practical experience working within Agile software development teams, including sprint planning, collaboration, iterative delivery and continuous improvement.

18. Jira and Confluence: Experience using Jira for task and project tracking and Confluence for technical documentation and knowledge sharing.

19. Independent delivery: Ability to transition from supporting maintenance activities to independently owning the implementation of new features and business requirements.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

• Flexible working hours

We are the creators of a new fintech era!

Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future.

We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies.

Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA.

Join us as a Head of Data Platform. 

Requirements:
Education & Experience:

— MSc in computer science, mathematics, statistics, physics or another quantitative field; PhD is a plus, not a requirement — research-grade methodology sits with the Quantitative Researcher

— 5+ years in data engineering / analytics, incl. lead / management experience; built a trading / financial data platform from zero at a crypto exchange, HFT / electronic-trading firm, market maker, or trading fintech. Bank / enterprise-DWH background alone does not qualify

— Personally carried production ownership of money data — trades, balances, positions, P&L — where a data error is a financial error

Core Technical Skills — data platform:

— Hands-on today: designs and ships pipelines personally — advanced SQL and Python; ClickHouse (or kdb+ / comparable columnar OLAP) in production

— Streaming and batch in one architecture: Kafka or equivalent, event feeds with second-grade freshness alongside hourly aggregates; trading-day logic — metrics counted within a trading day that starts and ends at a fixed morning hour, with an automatic daily reset

— Optimizes data footprint and computational overhead across every stage: selects the tech stack, partitioning logic, and execution flow based on cost-to-performance impact

— Data-correctness engineering: reconciliation, idempotent backfills, late / duplicate event handling, data-quality monitoring and lag alerting

— Vendor and API integration: institutional market-data providers (Kaiko / Amberdata class), exchange APIs, FX feeds; schema design and documentation others can build on

Core Technical Skills — analytics & applied math:

— Applied statistics at a working level: distributions, hypothesis tests and confidence intervals, correlation vs causation, time-series and aggregation pitfalls (session boundaries, survivorship, outliers) — enough to catch a methodological error in an analyst's query or notebook, and to have designed or reviewed metric / experiment methodology in past roles

— Metric and semantic design: one written definition per metric (P&L, uptime, spread, fill rate) enforced across every report; analytical data models (marts / star schemas) that make those definitions computable and cheap to query

— BI stack governance: Tableau / Grafana — performance, access control, versioned metric definitions; reviews dashboards for correctness rather than building them all himself

— ML literacy: understands when a model is — and is not — needed and can supervise applied work; research-grade modeling remains the Quantitative Researcher's mandate

Market & Domain Knowledge:

— Trading data from practice, not textbooks: maker/taker, fees and rebates, perpetual funding, realized / unrealized P&L, inventory and exposure, order-book depth and spread, slippage, quoting uptime

— Understands the consumers: how analysts, quants and desk heads use the data, and how market-quality / compliance metrics feed liquidity-provider terms

— Has built and run a mixed organisation of data engineers and analysts: separate hiring bars and growth tracks, peer review of queries and dashboards as a standard, methodology documented before a number ships

— Partners with quantitative research: turns the Researcher's methodology into production metrics and dashboards without distorting it; runs the sign-off process with quant and desk stakeholders

— Treats balances and client data as confidential by default: access control, least privilege, audit trail, no raw-data leaks

— Never ships silently wrong numbers: escalates early, cuts scope consciously, flags uncertainty in the data

Mindset & Soft Skills:

— Player-coach: the first months are personal hands-on delivery; scaling through the team runs in parallel, not instead

— Speaks business: reports status in money and deadlines; prioritizes by P&L impact — which dataset unblocks which decision; no jargon walls with management and stakeholders

— Owner of the direction's technical goals, not of a backlog: takes a business problem, decomposes it into tasks, executes and delegates

Responsibilities — Platform:

— Architect and ship the central data warehouse: every trade, position, balance and P&L across all trading services; an hourly contour for BI plus a real-time contour for monitoring; trading-day logic with automatic daily reset

— Build the data layers behind LP terms: market quality (spread, depth near mid price, fill rate, per-order slippage), quoting-uptime start/stop events per maker and pair, external tier-1 benchmarks and FX feeds for regional fiat pairs

— Close the data debt: gaps in realized-P&L coverage, history backfills, broken monitoring services — restore or replace

— Set and hold agreed data-freshness targets and pipeline-health alerting; own schemas and documentation

— Own analytics delivery end-to-end: the KPI rulebook published and signed, financial / attribution / historical-performance dashboards, compliance screens and provider scorecards

— Enforce a single semantic layer: one definition per metric across every report; methodology documented before a dashboard ships

— Quality gate: numbers are reviewed and challenged before they reach management; sign-offs from quant / desk collected per deliverable

Responsibilities:
— Hire leaders-first and onboard the technical team (~10 people: data engineering, analytics & BI, technical PM) per the approved hiring plan; hand tasks down without losing velocity

— Single interface to exchange tech (requirements, acceptance, freshness targets) and to analytics / quant stakeholders; run delivery in Jira against the approved one-year roadmap

— After the build: run the platform as a service to the direction — researcher-generated tasks, new metrics and pair groups, regular recalibration. 

Working terms

Immerse yourself in Crypto & Web3:

• Master cutting-edge technologies and become an expert in the most innovative industry.

Work with the Fintech of the Future:

• Develop your skills in digital finance and shape the global market.

Take Your Professionalism to the Next Level:

• Gain unique experience and be part of global transformations.

Drive Innovations:

• Influence the industry and contribute to groundbreaking solutions.

Join a Strong Team:

• Collaborate with top experts worldwide and grow alongside the best.

Work-Life Balance & Well-being:

• Modern equipment.
• Comfortable working conditions, and an inspiring environment to help you thrive.
• 22 business days of paid leave.
• Additional days off for national holidays.

About the role

Rozmova & Clearly is a mental health marketplace that connects clients with licensed therapists. You'll own how we talk to users after sign-up, across email and WhatsApp. The goal is a channel that grows revenue and retention, and feels like care, not pressure.

This is a senior, hands-on role. You'll work closely with product, engineering and analytics, and have real autonomy over what we send, when, and to whom.

    What you'll do

• Own CRM across email and WhatsApp: strategy, flows, contact policy and results.
• Build and improve lifecycle flows (onboarding, activation, reactivation, win-back) based on user behaviour and product signals.
• Own segmentation: know which user attributes and events we have, and work with product on what's missing.
• Set up and maintain channel integrations together with engineering.
• Run a regular testing cadence and measure impact in revenue and retention, not just opens and clicks.
• Build channel reporting and explain results simply to the team.
• Keep communication caring, private and on-brand: nothing in a subject line or preview should reveal that someone is in therapy.
  
  What you bring
• 4+ years in CRM / lifecycle / retention marketing in product companies, including 2+ years owning the channel end-to-end with a revenue KPI.
• Hands-on experience with Customer.io, Braze, Iterable or similar, including the data model, event-triggered campaigns and API/webhooks.
• Comfort with data: you build your own reports and know how to prove that a campaign actually worked.
• Solid deliverability and GDPR basics.
• Strong writing and an ethical, care-driven approach to retention.
  
  Who you are
• Owner: you finish what you start and take on areas nobody owns yet.
• Systems thinker: you design how the whole channel works, not just the next campaign.
• Clear communicator: you can explain complex logic simply.
  
  Nice to have
• WhatsApp Business API or push notifications.
• Experience in health, wellness or mental health products.
• SQL basics; Mixpanel, Looker or BigQuery.
• Working across two or more markets/languages.

WHO WE ARE?

We are Edge Solutions Lab, a team of engineers with a strong background in product development of edge solutions and data platforms.

We have a long-term partnership with a customer in the US who is looking to expand their onsite team with talented engineers like you. This is an exciting opportunity to collaborate with industry leaders, work on impactful projects, and contribute to the development of next-generation electronic devices for healthcare, biotechnology, and research domains.
 

WHO WE ARE LOOKING FOR?

We are looking for a highly motivated PCB Engineer to join our team, working on single board computers, wearable devices, and wireless solutions for healthcare and life-science applications. In this role, as part of a team, you will design, prototype, and test electronic hardware, taking boards from concept and schematic to production-ready manufacturing data, and working closely with hardware engineers, firmware developers, and mechanical designers.

This is a dynamic environment where priorities can shift quickly, so we value someone who adapts easily and stays effective when project focus changes.
 

IN THIS ROLE YOU WILL:

• Perform PCB design work in Altium Designer, from schematic development to layout and release of manufacturing data.
• Design, debug, optimize, diagnose, and modify digital and analog electronic circuits.
• Develop and test single board computers, wearable devices, and wireless solutions.
• Route high-speed interfaces (such as PCIe, USB, DDR) and ensure designs are ready for mass production (DFM/DFT).
• Ensure NDAA compliance when selecting components and manufacturing partners.
• Prepare manufacturing packages (Gerber, drill files, BOM, assembly drawings, fabrication notes) and order PCBs and PCBAs from contract manufacturers.
• Experiment and prototype new ideas for evaluation.
• Test and debug boards using measurement equipment (oscilloscope, logic analyzer).
• Write engineering documentation, including drawings and procedures, test plans, and reports, and recommend design improvements.
• Participate in design meetings and contribute to the product.
• Collaborate with hardware and mechanical engineers on schematic reviews, board outline, connector placement, and enclosure integration.
• Switch between projects and tasks as priorities change, adjusting your focus quickly without losing quality.
   

WHAT YOU BRING ALONG:

• At least 4 or more years of experience in PCB design.
• Confidence in use of Altium Designer.
• Experience in routing high-speed interfaces (such as PCIe, USB, DDR).
• Practical experience in development for mass production (DFM/DFT).
• Familiarity with industry design rules and standards.
• Good analog and digital electronic engineering fundamentals.
• Knowledge of SoC-based solutions and their architecture (buses, clock, ports, etc.).
• Experience in schematic development, including the ability to read schematics, datasheets, and mechanical drawings, and to make minimal schematic changes when needed.
• Good knowledge of communication interfaces (PCIe, USB, I2C, UART, SPI).
• Experience with measurement equipment (oscilloscope, logic analyzer).
• Experience in ordering PCBs and PCBAs from contract manufacturers.
• Flexibility in your approach to projects and the ability to quickly switch focus between tasks, products, and priorities as project needs change.
• Intermediate+ written and spoken technical English.
• Ability to work in a multinational distributed team.
   

WILL BE A PLUS:

• Knowledge of PCB design standards (IPC-2221, IPC-2222, IPC-7351, IPC-A-610).
• Experience in design of battery-powered devices.
• Experience in use of soldering equipment (BGA components are a plus).
• Experience in design of medical devices.
• Experience in components purchasing for prototyping and for production.
• Basic experience in embedded software development.
• Knowledge of mechanical design software tools.
• Flexibility to work across multiple disciplines.

At King Group we bring together talented people from the IT and iGaming industries to build and grow successful digital projects. We operate multiple iGaming platforms, invest in promising startups, and support people who are eager to learn, innovate, and make an impact.
 

We’re looking for a client manager to join one of our projects. If you enjoy communicating with people, confident in English and have previous experience in iGaming - you are welcome!
 

What you’ll do:

• Communicate with users via phone, emails and chats.
• Keep communication clear, friendly, and approachable, making every interaction a positive one.
   

What we’re looking for:

• Previous experience in retention or a similar customer-facing role.
• Strong written and verbal English skills.
• A reliable PC and a stable internet connection.
• A proactive, attentive, and solution-oriented mindset.
   

What we offer:

• Fully remote work — work from wherever you feel most comfortable.
• Paid vacation and sick leave — because your well-being matters.
• A supportive team that values collaboration and welcomes new ideas.
• Regular feedback and opportunities to grow — we’re here to support your professional development.
• A shift-based schedule with a clear work routine (from Monday to Friday, 22:00-7:00 (GMT+2)).
   

If you’re looking for a remote role where you can put your communication skills to good use, communicate with customers from around the world, and grow alongside a friendly team, we’d love to hear from you!

Strim Duo is a creative digital studio based in Limassol, Cyprus. We specialize in social game development, product engineering, UX/UI design, custom software solutions, mobile apps, and post-launch product support.
Our mission is to build products that work seamlessly across devices, delivering engaging experiences for millions of users worldwide.

The expertise we’re looking for

• 1+ year of work experience as B2B Account manager in IT or/and IGaming industry;
• Analytical mindset;
• Highly developed social and communication skills;
• Ability to cope with a high-pace, complex and changing environment;
• Strong drive for achieving and exceeding targets;
• Desire to learn and to research;
• To work as a team member;
• Experience with Jira/CRM/Google;
• Knowledge of English;
• Fluent English — spoken and written.

Your position will include

• Act as the main point of contact and develop a trusted advisor relationship with existing customers;
• Ensure games launch, marketing and promotional activities across brands;
• Problem resolution of technical/management/financial/business issues on a regular basis;
• Attend and represent the company at events and exhibitions;
• Provide Account Team Lead with monthly / quarterly reports on the work results;
• Conducting a regular analysis of the iGaming market.

What we offer

• Corporate psychologist;
• Gifts for significant occasions;
• Legal support;
• Flexible working hours;
• Direct access to C-level and opportunity to suggest new business ideas and drive changes.

If you are ready to work in a dynamic team, passionate about the product, technology, and the world of entertainment, we’re waiting for your CV and portfolio to schedule an online/offline meeting and get to know each other better!

Your CV will be carefully reviewed by our TA department, and if it meets the requirements of the position, we will contact you within 3 business days to discuss the possibility of scheduling an interview.

We’re excited to invite Client Operations Manager join our team. If you’re ready for new challenges in a dynamic and fast-paced environment, this could be the perfect role for you.

You would be running such tasks as:

• Quickly and efficiently resolve customer queries regarding payment issues via chats;
• Perform daily monitoring of Operational KPIs;
• Troubleshoot technical issues with payment systems and software to support payment processing; 
• Initiate escalation of issues to the technical team as required;
• Improve existing customer support processes and make suggestions for their optimisation to ensure the efficiency of the department.

Required skills and expertise:

• Strong ownership, attention to detail, and organizational skills;
• Critical thinking and root cause analysis skills;
• Ability to understand customer needs and resolve issues appropriately and professionally;
• Ability to work in high workload conditions;
• Ability to learn quickly and adapt to changing environments.
• English language from Intermediate level.
• Willingness to work night shifts: 3:30 - 14:30; 3/3

Nice to have:

• Experience in resolving issues related to the payments industry;
• Previous experience in customer support/payment specialist or similar position.

We offer:

• 100 % paid sick leaves;
• 20 working days of paid vacation;
• Medical support;
• Benefits Cafeteria (budget for gym/stomatology/psychological service & etc.);
• Corporate gifts & events.

Professional growth & development:

• Competitive salary with annual salary promotions;
• The annual budget for professional courses, conferences, workshops, and books;
• Internal training courses;
• Work with a team of professionals and have the opportunity to share knowledge.

Corporate Culture:

• Dynamic and result-oriented work environment;
• The ability to influence product development at an early stage;
• Openness to new ideas and approaches, healthy team discussions;
• No “red tape” culture.

Candidate journey:

HR Interview — Interview with Team Lead —  Security check — Job Offer

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.
 

     You'll be a great fit if you have:

•  Strong Python Experience (2 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

• Bachelor's degree in Computer Science or a related field.
   

  What you'll do:

• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications.
   

     We ensure your growth with:

• Competitive salary fixed in USD;
• Flexible working schedule and fully remote work format;
• Paid vacation days and sick leave days ;
• Personal and professional development opportunities;
• Participation in building innovative projects from scratch using modern technologies;
• Team-building activities and corporate events;
• English classes and educational events.

About the Engagement:

A large international organization is setting up a new Strategic Initiatives team. C-level stakeholders give it specific questions, and the team analyzes data quickly to form a clear point of view. For example, two large programmes that run separately today (such as IT change and risk remediation) may need a recommendation on how they should work together.

Overview:

You’ll own the data side of the Strategic Initiatives team. You’ll connect sources, set the factual baseline for each initiative, and answer questions quickly and repeatably. You’ll work side by side with the Business Analysts and bring the evidence into war-room sessions with senior stakeholders.

Responsibilities:

Build the analytic sandbox: help set up and run the sandbox, connecting it step by step to sources such as ERP and MI data warehouses, one use case at a time.

Set baselines: establish the data baseline for each initiative so everyone works from the same facts.

Answer fast, reuse often: run standard queries or write new ones, and save them as documented, reusable assets.

Support decisions live: bring the right data into war-room sessions to form and prioritize hypotheses.

Validate hypotheses: test them with further data and state plainly what the evidence shows.

Support the write-up: provide accurate analysis and clear visuals for executive-level findings.

Must-Have:

10–15 years of relevant experience with a track record of hands-on delivery

Strong hands-on data analysis: querying, joining and cleaning data from enterprise sources (SQL)

Experience with data from ERP systems and MI data warehouses, including budgets, forecasts and spend

Ability to turn data into clear insight for senior, non-technical readers

Care for quality: checking results, documenting queries and making them reusable

Advanced English; able to work from the Krakow office 3 days a week

Nice-to-Have:

Experience with SAP or Oracle ERP finance data (GL, cost centres, spend)

Python or R for analysis

Power BI, Tableau or advanced Excel for executive visuals

Experience setting up analytic sandboxes or self-service analytics

Background in large multinational or financial-services organizations