Вакансии

- Опыт в DevOps: Опыт работы от 5 лет в эксплуатации высоконагруженных (Highload) распределенных ИТ-систем.

Задачи: — Работать с большим объемом данных — Разрабатывать логику аналитических выборок и отчётов — Работать с данными продаж, чеков, заказов, формировать агрегаты из транзакций, обогащать сырые данные — Писать сложные SQL запросы — Переводить бизнес-запросы в понятные технические задания для разработки отчётов, витрин — Работать с расхождениями в данных, находить и анализировать ошибки — Настраивать фильтры и метрики для BI Требования: — Уверенный опыт работы с данными на позиции аналитика от 4-5 лет — Опыт работы в Pharma - must — Опыт работы с большими данными — Продвинутый уровень SQL и Excel, ClickHouse (или другие колоночные БД) — Важно уметь формировать SQL запросы без помощи нейронок — Опыт построения отчётности на базе справочников и аналитических агрегатов — Опыт постановки ТЗ для формирования отчётов — Умение находить оптимальные способы решения задачи (оптимально по скорости, затраченным ресурсам и работе с БД) — Высшее образование — Гражданство и физическое местонахождение на территории РФ

— Сбор и анализ больших массивов данных из различных блокчейн-сетей (on-chain data). — Разработка и внедрение моделей машинного обучения для прогнозирования состояний сети и оптимизации работы ZK-инфраструктуры.

Location: Москва Workplace: гибкий Мы развиваем инструменты для работы с данными в VK на базе YTsaurus. Создаём единое рабочее место, в котором аналитики и разработчики смогут выполнять SQL/YQL-запросы, работать с разными базами данных, сохранять код, делиться им с коллегами и пользоваться AI-ассистентом. Ищем Go-разработчика, который будет проектировать и развивать серверную часть этой платформы. В центре работы — backend Web SQL-консоли, личные и командные рабочие пространства, интеграции с вычислительными движками и сервисом выполнения запросов. Архитектурная основа уже определена, при этом модели данных, API и многие технические решения предстоит проработать вместе с командой. Почему у нас интересно Пользовательский сценарий проходит через несколько сложных систем: от сохранённого файла и выбора подключения до выполнения запроса и получения результата. Предстоит сделать этот путь удобным и надёжным — чтобы запрос продолжал выполняться после закрытия вкладки, состояние восстанавливалось после рестарта сервиса, а совместная работа учитывала права каждого участника. Можно влиять на архитектуру новых сервисов и видеть, как ими пользуются аналитики и разработчики внутри VK. Задачи Разрабатывать на Go backend API для Web SQL-консоли и интерфейса YTsaurus: подключения к БД, контекст выполнения, история и результаты запросов Создавать сервис рабочих пространств: файлы и папки, сохранение запросов, совместный доступ, права пользователей и обработка конфликтов изменений Развивать управление выполнением запросов: запуск, получение прогресса, отмена и восстановление состояния после сбоев. Работать с долгими операциями, повторными вызовами и гонками состояний Подключать YQL, CHYT и внешние базы данных, начиная с ClickHouse; интегрироваться с сервисами управления БД, авторизации и хранения секретов Разрабатывать API для интеграции AI-ассистента с файлами, контекстом пользователя и выполнением запросов Отвечать за качество сервисов в эксплуатации: тесты, метрики, диагностику, производительность и устойчивость к отказам Требования Опыт разработки и эксплуатации backend-сервисов на Go Умение проектировать API и модели данных, работать с SQL и понимать транзакции, индексы и конкурентный доступ Понимание того, как строить надёжные взаимодействия между сервисами: таймауты, повторы, идемпотентность, отмена и восстановление после сбоев Опыт работы с аутентификацией, авторизацией и разграничением доступа Умение разбираться в чужих API, диагностировать проблемы по логам и метрикам и доводить функциональность до эксплуатации Готовность участвовать в проектировании продукта вместе с frontend-разработчиками и командами платформы данных Будет плюсом Опыт с YTsaurus, ClickHouse или другими платформами обработки данных Разработка систем фонового выполнения задач и долгоживущих процессов Работа с распределёнными хранилищами, репликацией и отказоустойчивостью Опыт интеграции AI-агентов, MCP или потоковых API

- Уверенный опыт работы с данными на позиции аналитика от 4-5 лет. - Опыт работы в Pharma - must.

Location: Minsk Workplace: onsite National Retail Solutions (NRS) is a leading provider of point-of-sale, payment, and digital solutions to tens of thousands of independent retailers across the United States and Canada. Processing millions of transactions daily across a rapidly growing network of high-volume retail terminals, NRS generates massive volumes of operational data. To empower our retailers and internal teams with instant insights, NRS is building a state-of-the-art, high-throughput Real-Time Reporting Engine powered by ClickHouse. This strategic initiative involves modernizing our data infrastructure, building scalable analytical pipelines, and delivering sub-second reporting dashboards for large-scale transaction datasets. We are seeking an experienced Technical Project Manager (Data & Reporting Platform) based in Minsk to join our distributed engineering team. In this role, you will lead the end-to-end delivery of our core ClickHouse real-time reporting platform, coordinating cross-functional efforts across backend engineers (Golang/Node.js/PHP), database architects, data engineers, QA, and frontend developers (Vue.js). The ideal candidate possesses strong technical project management fundamentals, a solid grasp of data systems/ETL workflows, and naturally leverages AI workflows (Claude, Gemini) to optimize sprint planning, write technical specifications, streamline documentation, and track technical deliverables. This role requires 3 days a week in-office work at our Minsk office facility to collaborate in person with our engineering team, along with regular remote collaboration with teams in Israel and the U.S. Responsibilities: Program Execution & Technical Project Delivery Lead end-to-end project execution for our ClickHouse real-time reporting platform, managing schedules, sprint backlogs, dependency mapping, and technical milestones. Partner closely with backend developers, data engineers, and UI teams to plan and execute high-throughput data pipelines, data aggregation flows, and reporting API deployments. Manage technical risks, identify pipeline bottlenecks, resolve execution blockers, and establish clear criteria for platform stability and performance testing. Act as a technical bridge between Product Management, System Architects, and Engineering teams to translate complex reporting requirements into clear user stories and technical tasks. Leverage modern AI productivity tools (Claude, Gemini) to accelerate sprint documentation, analyze project risks, summarize technical alignment meetings, and draft comprehensive project specs. Metrics, Stakeholder Management & Status Reporting Establish and maintain KPIs, execution velocity metrics, and project health dashboards in Jira/Confluence. Provide weekly progress updates to senior leadership, including the VP of Technology, CTO, and key business stakeholders. Oversee SLA requirements, data delivery timelines, and release readiness checklists across global teams. Organize and facilitate cross-functional release management, ensuring smooth rollouts with zero downtime for reporting services. Data Integrations & Cross-Team Collaboration Oversee data integration initiatives with third-party platforms, external data feeds, and internal microservices. Understand partner technical specifications, API structures, data schema expectations, and support escalation paths. Lead Agile ceremonies (Sprint Planning, Daily Standups, Backlog Grooming, Retrospectives) for distributed engineering groups across time zones. Required Qualifications: 5+ years of Technical Project Management experience leading complex software development or data engineering initiatives. Proven Data & Platform Project Management Experience: Hands-on experience delivering projects focused on databases, business intelligence (BI), analytics, ETL/data pipelines, or high-throughput reporting systems. Agile & Jira Mastery: Advanced proficiency in Jira (Scrum/Kanban management, roadmapping, custom workflows, automation) and Confluence documentation. Strong AI Integration Capabilities: A habitual and demonstrated workflow using AI assistants (Claude, Gemini) to optimize project planning, write specifications, summarize requirements, and improve delivery velocity. Technical Understanding of Systems Architecture: Solid conceptual understanding of microservices, REST/gRPC APIs, SQL/database architectures, CI/CD pipelines, and cloud environments (AWS). Scope & Risk Management: Proven ability to manage technical debt, negotiate scope trade-offs with product owners, and clear complex engineering blockers independently. Cross-Functional & International Experience: Exceptional team leadership skills with experience working alongside global teams in the U.S. and Israel. Strong Communication: Excellent spoken and written English, comfortable facilitating technical design discussions and executive briefings. Nice to Have: Experience managing projects involving ClickHouse or other columnar/OLAP data stores (Snowflake, BigQuery, Redshift). Background in managing high-availability, low-latency financial, transaction, or POS reporting environments. Familiarity with data visualization tools or reporting dashboards (Grafana, Tableau, Metabase, custom Vue.js dashboards). PMP, PMI-ACP, CSM (Certified Scrum Master), or equivalent Agile/Project Management certifications. Work Schedule & Location: Location: Minsk, Belarus (Office). In-Office Requirement: 3 days per week at our Minsk office facility. Time Zone Overlap: At least 3 hours of daily overlap with U.S. Eastern Standard Time (EST). What We Offer: A central role in delivering a high-impact, real-time data engine for the U.S. retail tech market. Direct collaboration with highly skilled engineering and product leadership in Minsk, Israel, and the U.S. Clear career advancement opportunities within a rapidly scaling data platform team. Competitive compensation package. Our benefits: Hybrid work opportunity! Modern office with free parking in the very center of Minsk. An exciting and challenging job with talented people around. Competitive salary and growth opportunities. Really good hardware. 26 vacation days & 5 fully covered sick days without sick leave required per year. Compensation for professional training, seminars, and conferences. Sports activities reimbursement and loyalty program. Medical insurance. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. A few words about us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.   Our National Retail Solutions brandprovides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing. NRS is now expanding into a completely new vertical: restaurant technology.We are building a brand-new Restaurant POS platform, a modern and highly capable system designed specifically for restaurant operations. This is one of the most significant product expansions in NRS history and will open a major new market for the company.This is a real opportunity to help build something new and important.

Задачи: гарантировать отечественным и зарубежным участникам торгов и инвесторам открытую, без перебоев работу торговой площадки. Требования: опыт работы с технологиями CI/CD, ETL, Kafka, ClickHouse, S3, Kubernetes, Spark, Python. Условия: работа в крупнейшей в России по объему торгов и по количеству клиентов бирже — ПАО Московская Биржа.

Location: Intellias Meet your recruiter Bohdana Rubets bohdana.rubets@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Senior Bulgaria, Croatia, Poland Remote APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you Our client is building the standard path for governed data sharing across product services, analytics, and AI/ML. The Data Platform team owns the contracts, control mechanisms, publication paths, catalog metadata, lifecycle rules, lineage, permissions, and runtime building blocks that make reusable data safe and practical at scale. This is a role for someone who wants to shape a platform early, while working on concrete production problems from the start. Our client already has the production systems, Kafka backbone, PostgreSQL databases, analytical consumers, and AI/ML use cases that need a better data foundation. The challenge is to turn that reality into a standard path that engineers actually want to use. Our first milestone is focused: centrally managed publishing tables in service-owned PostgreSQL databases, captured through Debezium CDC into Kafka, and registered in DataHub with ownership, lifecycle, lineage, and impact-analysis metadata. Longer-term, the platform expands toward self-service data products, governed materialisations, durable shared state, and reusable data across the client’s operational and analytical systems. This is not a role where you only maintain an existing reporting pipeline. You will help design and build the platform path that other engineering teams use when they publish and consume shared data. What you will do Design and build platform services, tools, and workflows for contract-driven data publishing and consumption. Build the first production path for platform-managed PostgreSQL publishing tables, Debezium CDC, Kafka topics, and catalog registration. Create GitOps-style workflows where contracts, schemas, ownership, lifecycle, compatibility, policy metadata, and runtime desired state are reviewed, validated, and reconciled as code. Build tooling that gives product engineers fast feedback before they publish or change data products. Help define how client models data products, publishing contracts, schema evolution, field stability, deletion semantics, access policy, lineage, and cost attribution. Operate and improve the CDC runtime model, including Kubernetes workloads, source-specific isolation, offsets, schema history, heartbeats, signal channels, lag visibility, replay, resnapshotting, and recovery. Integrate platform metadata into DataHub so engineers can discover data products, understand ownership, trace lineage, and reason about the impact of changes. Work with product, infrastructure, data engineering, analytics, and AI/ML teams to make the standard path easier and safer than bespoke point-to-point integrations. What you need for this Strong experience building and operating production software systems, preferably in platform, infrastructure, backend, or data-intensive environments. Deep understanding of distributed systems trade-offs: reliability, idempotency, replay, eventual consistency, ownership boundaries, compatibility, and operational failure modes. Practical experience with PostgreSQL or other relational databases, including schema design, migrations, transactions, replication, or operational performance. Experience with Kafka, event streaming, CDC, Debezium, or adjacent data-movement technologies. Direct Debezium experience is valuable, but strong fundamentals matter more. Experience building software that other engineers use: CLIs, internal platforms, control planes, automation, CI validation, developer tooling, or self-service workflows. Familiarity with Kubernetes and cloud or infrastructure platforms, including runtime isolation, deployment, observability, and operational ownership. Ability to turn ambiguous architectural direction into practical increments, make trade-offs explicit, and deliver useful production systems without waiting for perfect certainty. Clear written and spoken communication in English. This role involves aligning multiple engineering teams around standards, contracts, and ownership boundaries. Nice to have: DataHub or other data catalog, lineage, or governance systems. Open table formats such as Apache Iceberg, object-store-backed data lakes, S3, BigQuery, ClickHouse, or analytical storage systems. GitHub Actions, policy-as-code, infrastructure-as-code, controllers, operators, or reconciliation-based systems. Data contracts, schema registries, Protobuf, Avro, JSON Schema, compatibility checking, field-level metadata, or contract testing. Experience supporting analytics, AI/ML, feature-store-style access patterns, or cross-domain product-service integrations. Experience with JVM languages and Python, TypeScript, Go, or Ruby. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Berlin; Poland; Portugal; France; United Kingdom; Spain; Germany; Italy; Israel; The Netherlands; Switzerland Workplace: Remote ABOUT THE TEAM The Integrations Ecosystem org builds the drivers, SDKs, connectors and BI integrations that make ClickHouse feel native in any stack. The Language Clients team maintains the official clients for Python, JavaScript, Java, Go, Rust, C++ and C#, plus the ODBC, JDBC and ADBC drivers. We're small, senior and remote across North America and EMEA. THE ROLE We're looking for a product-minded engineer to own the ClickHouse .NET client. You'll decide what the client should do by talking to the developers who use it, reading the issues and the telemetry, and listening to the community. Then you'll build it, with deep .NET expertise, and measure whether it worked. Your scope is the SDK and what builds on it: ADO.NET http://ADO.NET, Dapper and Entity Framework Core users, and the tools and integrations that depend on your client. WHAT YOU'LL DO - Know who uses the client and what they're trying to do. Define what good looks like (time to first query, error clarity, adoption by key integrations), measure it, and let that drive the roadmap. - Be the voice of ClickHouse for .NET developers. Speak at .NET conferences and meet-ups, and write the posts, tutorials and samples that developers and AI assistants find when they search for how to use ClickHouse from .NET (SEO and GEO). Answer questions where the community asks them. - Own the .NET client and its ecosystem: the client, the EF Core provider and ORM integrations, NuGet releases and support. Evolve it without breaking the people who depend on it. - Review and co-maintain other clients, and take part in cross-client decisions on types, errors and protocol features. - Bring what .NET and Windows users need to the ODBC driver, since that's how many Windows and BI tools reach ClickHouse. If you write C++, contribute to it directly. - Bring written proposals about where we invest next. You set direction rather than wait for it. - Make the client enterprise-ready: TLS and certificate handling, authentication including Microsoft Entra ID, safe credential handling, signed and reproducible packages, and the audit and compliance questions large .NET shops ask before they adopt. - Shape the client for agents as users: an API, docs and error messages an AI coding agent can use correctly on the first try. - Extend our AI development platform, with new workflows for maintaining the clients: consistency checks across languages, issue triage, release checks. ABOUT YOU - Product-minded. You decide what to build from user evidence, measure whether it worked, and can explain what you chose not to build. - 5+ years in software, much of it on data-intensive systems: drivers, SDKs, data access, ingestion or analytics. - Deep C# and .NET expertise: memory management, async and the TPL, Span and pooling, profiling and benchmarking. You reason about throughput and latency down to allocations and bytes on the wire, and you prove it with tests and benchmarks. - Fluent in C#, and productive in at least one more of our client languages (Python, JavaScript, Java, Go, Rust, C++). You'll review and co-own across clients, not only .NET. - You've built or substantially extended a library other engineers depend on, and shipped NuGet packages across .NET Framework and modern .NET. You treat breaking changes accordingly. - Fluent in .NET data access (ADO.NET http://ADO.NET, Dapper, EF Core) and at home in the wider .NET ecosystem: ASP.NET http://ASP.NET Core, Aspire, NuGet. - Security-minded. You've shipped a library into enterprise environments and know what security, compliance and procurement teams look for in a dependency. - Enthusiastic about working in public. You've given talks or written technical content, or you're keen to, and you see it as part of the job rather than a distraction from it. - Thoughtful use of AI development tools, with the judgment to review what comes out. - Clear writing. Most coordination happens in design docs, PRs and RFCs. NICE TO HAVE - ClickHouse, especially its type system, or another OLAP engine. - C++ and ODBC driver internals. - Building or maintaining an ADO.NET http://ADO.NET or EF Core provider. - Open-source contributions to .NET or data infrastructure. - Experience designing SDKs, docs or error messages with AI coding agents as the consumer. - Protocol or wire-format work on a database driver or network client. LEARN MORE - Introducing the (blazing fast!) native TCP client for .NET https://clickhouse.com/blog/introducing-the-blazing-fast-native-tcp-client-for-net: zero-copy columnar reads, 1.5 to 2x faster than HTTP, over 99% fewer GC allocations (Oct 2026) - What's new in the ClickHouse .NET Driver: the road from 1.0 to 1.3 https://clickhouse.com/blog/whats-new-clickhouse-net-driver-10-to-13 (Aug 2026) - Meet GroeneAI: our autonomous contributor to ClickHouse https://clickhouse.com/blog/meet-groeneai-our-autonomous-contributor-to-clickhouse (Oct 2026) - Building a .NET API Gateway with ClickHouse and Aspire https://clickhouse.com/blog/dotnet-api-gateway-aspire (Jun 2026) - The .NET client on GitHub https://github.com/ClickHouse/clickhouse-cs and its documentation https://clickhouse.com/docs/integrations/csharp - ClickHouse Workload for Microsoft Fabric, now in public preview https://clickhouse.com/blog/clickhouse-for-microsoft-fabric (Sep 2026) PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Workplace: hybrid Обязанности Руководить командой из 3–4 разработчиков: ставить цели, формировать и приоритизировать бэклог, декомпозировать инициативы, распределять ответственность и контролировать результат Развивать платформенные компоненты и внутренние сервисы вокруг работы с данными: повышать их надёжность, масштабируемость, производительность, наблюдаемость и удобство для пользователей платформы Находить узкие места в текущем дата-ландшафте, инженерных процессах и пользовательских сценариях; превращать наблюдения в понятные инициативы с оценкой эффекта и планом реализации Самостоятельно разрабатывать и проводить сложные технические прототипы (PoC) для проверки архитектурных решений, новых технологий и подходов к оптимизации Принимать ключевые архитектурные решения, проводить технические ревью, задавать инженерные стандарты и обеспечивать качество реализации Планировать и вести технические инициативы от идеи до промышленного внедрения: цели, метрики успеха, риски, зависимости, этапы и результат Развивать инженеров в команде: менторить, давать регулярную обратную связь, повышать самостоятельность и качество технических решений Выстраивать рабочее взаимодействие со смежными командами — инфраструктурой, аналитикой, ML/AI, инфраструктурой, безопасностью и продуктовыми командами Улучшать процессы разработки: CI/CD, тестирование, документацию, эксплуатационные практики, мониторинг, управление инцидентами и техническим долгом. Условия работы Официальное оформление с белой ЗП Полугодовые премии по результатам работы Возможность работать удалённо или в гибридном формате Удобный офис рядом с м. «Добрынинская» / удобный офис с бесплатной парковкой на м. «Волгоградский проспект» / МЦД «Калитники» Гибкий график работы Широкий пакет ДМС (включая выезд за рубеж и стоматологию), страхование жизни и здоровья Возможность учиться и развиваться за счёт компании: внешние тренинги и семинары по профессиональным тематикам, участие в крупнейших конференциях страны, программы развития цифровых и управленческих навыков (Цифровая академия, Школа Тимлидов), онлайн и офлайн мастер-классы, корпоративный университет «X5 Полка», школа наставников и многое другое Программы мотивации для спикеров и авторов: внутренняя школа Speak Up School, Write Up, ачивки и баллы за выступления, подготовка спикеров к крупнейшим конференциям страны, сообщество авторов на Хабре, возможность шерить опыт с комьюнити внутренних и внешних экспертов Обмен опытом через cообщества: 12 технических комьюнити от java до devops Яркая корпоративная жизнь с большим количеством мероприятий, конкурсов и возможностей для творческой реализации: регулярные внутренние митапы, демо-дни, открытые микрофоны, день IT-специалиста, программы волонтерства, корпоративное предпринимательство X5 Idea Challenge Забота о благополучии сотрудников: 7 спортивных сообществ (бег, футбол, волейбол, баскетбол, хоккей, лыжи, триатлон), ежегодная Неделя здоровья Скидки в экосистеме бизнесов Х5 («Пятёрочка», «Перекрёсток», «Много лосося», «Перекресток Впрок») Программа привилегий Prime-zone (скидки на товары и услуги и специальные предложения от компаний-партнёров) Материальная помощь сотрудникам, попавшим в сложную жизненную ситуацию. Профессиональные навыки Опыт с data stack: Spark, Flink, Kafka, Trino, ClickHouse, Iceberg, Airflow, Kubernetes, Object storage, catalog/governance-системы Опыт разработки и эксплуатации сложных распределённых систем и/или платформ данных Опыт управления инженерной командой либо выраженный опыт технического лидерства с готовностью отвечать за развитие людей и поставку результата Умение совмещать управление и hands-on работу: не только делегировать, но и лично погружаться в архитектурно сложные или исследовательские задачи, прототипировать или брать самые сложные задачи на себя Опыт проектирования и внедрения платформенных компонентов, внутренних сервисов или инфраструктурных продуктов Практический опыт оптимизации производительности, стоимости, надёжности или DX в инженерных системах Умение работать через цели и измеримый эффект: связывать технические инициативы с ценностью для пользователей и организации Навыки декомпозиции, приоритизации и делегирования; умение удерживать баланс между быстрыми улучшениями, развитием платформы и устранением технического долга Умение ясно доносить технические решения до инженеров и руководителей Опыт развития Internal Developer Platform, self-service-подходов или платформы как продукта Опыт миграций, стандартизации дата-ландшафта, построения observability и управления стоимостью обработки данных Опыт формирования технической стратегии и roadmap платформы; это обычно включает архитектурную целостность и взаимодействие со смежными технологическими направлениями.

Location: London Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. The Role You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers. Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer. You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you. What You'll Do Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains. Build backend data services and loaders in Go and Python. Design and evolve data models and analytical workloads in ClickHouse, and tune them for sub-second queries. Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes. Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform. Investigate hard performance and reliability problems and see them through to resolution. Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs. Help set technical direction through architecture discussions, design reviews and code reviews. Mentor engineers and help set strong engineering and operational practices. What You Bring 5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on. Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows. Go for backend services. You have built and run high-throughput services or data loaders in Go in production. ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning. Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost. Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency. Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine. An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve.   Nice to Have Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC. Graph or distributed key-value stores: entity resolution or clustering on large graphs. Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design. Experience building platforms that serve multiple data sources, datasets or product teams. AI-assisted development, and experience in fintech, compliance or AML. How We Work You'll join a small, senior team where everyone owns their work end to end. We make decisions based on measured evidence, not opinion. We keep design notes and runbooks next to the code. We test at production scale and run blameless post-incident reviews. We use AI coding tools every day, and we use judgement when reviewing what they produce. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: New York Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. The Role You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers. Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer. You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you. What You'll Do Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains. Build backend data services and loaders in Go and Python. Design and evolve data models and analytical workloads in ClickHouse, and tune them for sub-second queries. Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes. Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform. Investigate hard performance and reliability problems and see them through to resolution. Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs. Help set technical direction through architecture discussions, design reviews and code reviews. Mentor engineers and help set strong engineering and operational practices. What You Bring 5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on. Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows. Go for backend services. You have built and run high-throughput services or data loaders in Go in production. ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning. Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost. Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency. Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine. An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve.   Nice to Have Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC. Graph or distributed key-value stores: entity resolution or clustering on large graphs. Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design. Experience building platforms that serve multiple data sources, datasets or product teams. AI-assisted development, and experience in fintech, compliance or AML. How We Work You'll join a small, senior team where everyone owns their work end to end. We make decisions based on measured evidence, not opinion. We keep design notes and runbooks next to the code. We test at production scale and run blameless post-incident reviews. We use AI coding tools every day, and we use judgement when reviewing what they produce. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Москва Корпоративная BI-система на базе Навигатора BI, хранилища (PostgreSQL, ClickHouse, Ozone) и ETL/ELT-пайплайнов (NiFi, Airflow, Spark). На базе системы работает продукт Digital trace (Цифровые следы сотрудников – аналитический продукт для принятия управленческих решений на основе данных из система банка, для оптимизации процессов и повышения эффективности). Обязанности * организация процессов разработки (Scrum/Kanban): спринты, планирование, ретроспективы, код-ревью * построение метрик эффективности команды и качества кода * проектирование отказоустойчивых пайплайнов потоковой/пакетной обработки данных и хранилищ * обеспечение высокой доступности и производительности подсистем (СУБД, BI, ETL) * настройка мониторинга, алертинга, логирования; решение инцидентов поставки данных * коммуникация со стейкхолдерами (аналитики, продакты, безопасность), согласование SLA. Требования * опыт промышленной разработки в современной BI системе Qlik Sense, Tableau, Power BI, Superset от 5 лет * опыт промышленного использования Apache NiFi и Apache Airflow * продвинутый SQL (оконные функции, сложные JOIN, оптимизация) * опыт работы с реляционными и колоночными БД * опыт организации процессов разработки (SDLC) * понимание жизненного цикла данных в организации (Data Lifecycle Management), опыт работы в рамках процессов Data Governance. Будет плюсом: * понимание основ работы Git, CI/CD * опыт разработки на одном из современных языков программирования (в контексте обработки данных) - от 4 лет * понимание принципов работы брокеров сообщений (RabbitMQ, Kafka) * опыт работы с Docker/Kubernetes * опыт работы с картами компетенций в подразделении * опыт настройки мониторинга на базе Prometheus + Grafana * опыт внедрения и эксплуатации процессов Data Governance * опыт работы с LLM и AI-агентами. Техстек: Навигатор BI (разработка Сбера), Qlik Sense (выводится из эксплуатации), PostgreSQL, ClickHouse, Apache NiFi, Airflow, Spark, Kafka, Ozone. Условия * комфортный офис: г.Москва, проезд 2-й Южнопортовый, 12Ак1, (м.Кожуховская) * возможен гибридный формат работы после испытательного срока * ежегодный пересмотр зарплаты и годовая премия * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: — Перенос функциональности с SAP на собственную аналитическую платформу. — Создание новых продуктов для планирования и контроля бюджетов. — Работа над корпоративной системой распределения расходов на open-source решениях: Postgres, Clickhouse, Airflow, Superset, JS/Python (пилотная функциональность). — Миграция функционала для существующих продуктов и разработка новых продуктов в рамках программы импортозамещения решений на базе SAP. Требования: — Коммерческий опыт работы в роли Frontend-разработчика от 5 лет. — Опыт работы с React, Redux, TypeScript. — Опыт работы с RTK. — Умение работать с Webpack или Vite. — Опыт работы со StyledComponents. Условия: — Оформление через ИП. — Стабильный и прозрачный доход. — Гибридный формат работы с редкими посещениями офиса в Москве (ЗИЛ, Серпуховская, Тульская, Шаболовская, Большая Тульская улица, 2).

Задачи: — Разрабатывать и сопровождать решения на базе 1С с учётом потребностей бизнеса; — Участвовать в развитии архитектуры системы; — Автоматизировать ручные операции; — Создавать и дорабатывать отчёты, обработки и выгрузки данных; — Настраивать обмены между 1С и внешними системами, включая маркетплейсы; — Развивать выгрузки данных из 1С в ClickHouse и DataLens; — Контролировать достоверность и сходимость данных; — Сопровождать закрытие месяца, регламентные задания и обмены; — Подключать и настраивать торговое оборудование: сканеры штрихкодов и терминалы сбора данных; — Работать напрямую с собственником, бухгалтерией, складом, розницей и командой аналитиков. Требования: — Опыт разработки на 1С от 3 лет; — Уверенное знание конфигурации «1С:Комплексная автоматизация»; — Опыт разработки интеграций и обменов с внешними системами; — Знание СКД; — Опыт работы с ТСД; — Навыки оптимизации кода и запросов; — Умение разбираться в чужом коде и доработанных конфигурациях; — Самостоятельность и умение общаться с внутренними заказчиками. Преимущества: — Понимание торговых и складских процессов в опте, дистрибуции или e-commerce; — Опыт работы с ClickHouse; — Участие в проектах миграции между конфигурациями 1С; — Интерес к AI-инструментам и интеграции LLM с 1С. Условия: — Полностью удалённая работа; — Оформление по ТК РФ; — График 5/2 по московскому времени; — Заработная плата 200 000–250 000 рублей на руки + годовая премия; — Возможность влиять на архитектуру и предлагать улучшения; — AI-friendly команда.

Проектировать сложную логику в картах, кошельке, комиссиях, реферальных сценариях и B2B API. Работать со статусами операций, идемпотентностью, таймаутами и повторными запросами (повтор запроса не должен проводить платёж дважды).

We're looking for a Documentation Engineering Manager to lead this work. What you’ll do Lead the execution, development, and prioritization of the Docs Engineering team while remaining hands-on in both technical writing and engineering.

Location: United States Workplace: Remote ClickHouse is the fastest analytical database in the world. Built for engineers and used by companies operating at massive scale.  Our users care about performance, clarity, and control. Our brand reflects that. We communicate directly, avoid marketing fluff, and focus on real technical capability.  Design plays a central role in how ClickHouse communicates with the world. From product launches to conference booths, every touchpoint should reflect the same clarity and confidence. We are looking for a Creative Director to help shape how the ClickHouse brand is expressed across marketing.  This role focuses on developing creative ideas, improving the overall quality of marketing work, and elevating how ClickHouse shows up across campaigns, launches, and events.  You will work closely with the Head of Design and marketing leadership, contributing creative thinking and helping bring ideas to life through collaboration with the design team. WHAT YOU'LL DO - Develop creative concepts for campaigns and marketing initiatives - Contribute to how the ClickHouse brand evolves and shows up across marketing - Provide creative direction for launches, campaigns, and events - Collaborate with marketing teams including demand generation and field marketing - Work with designers to bring ideas to life through high-quality execution - Help elevate the overall creative standard of marketing work WHAT YOU BRING ALONG - Strong experience in brand, campaign, or marketing creative roles at a SaaS company - A portfolio demonstrating creative thinking and campaign work - Ability to develop ideas and translate them into clear visual direction - Strong visual and conceptual skills - Comfortable collaborating with cross-functional teams and presenting ideas - Interest in working in a technical, product-led environment Experience in agency or campaign-driven environments is a strong plus. WHY THIS ROLE MATTERS As ClickHouse grows, the scale and visibility of marketing design continues to increase.  This role helps ensure our campaigns, events, and marketing surfaces remain clear, consistent, and recognisable as ClickHouse. #LI-remote   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.