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Location: New York WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories. You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation. This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting to you, we encourage you to apply. You will be working on the Modelling Safety and Trust team, so interest in these areas is a plus, but is not at all required. Please Note: We have offices in London, Edinburgh, Paris, Toronto, Montreal and New York, but we also embrace being remote-friendly! This role has timezone restrictions (UK, Europe, or ET) but no location restrictions. Key Responsibilities: - Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation - Create cohesive data infrastructure that supports continuous parallel operation with model experimentation - Establish standardized processes for data validation, analysis, and improvement of data both training and evaluation - Collaborate with the ML modeling team to align data capabilities with experimental needs - Maintain opinionated, well-documented solutions that become team standards - Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps Qualifications: - Extremely strong software engineering skills. - Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. - Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch) and Big Data Analytics (e.g. BigQuery, SQL) - Demonstrated ability to own complex technical projects from conception to deployment - Opinionated approach to technical architecture with ability to make principled decisions - Understanding of ML data requirements and the intersection of data engineering with modeling workflows Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Задачи: — построение масштабируемых конвейеров данных и инфраструктуры в облачной среде GCP. Требования: — опыт работы Data Engineer от 3 лет; — уверенное владение GCP (BigQuery, Cloud Storage, Dataform); — продвинутые навыки Python и Apache Airflow; — уровень английского B2 и выше. Условия: — долгосрочный контракт с QIC; — полный рабочий день, удалённо, график 5 дней в неделю, с воскресенья по четверг; — отпуск по календарю праздников Катара, 20 рабочих дней отпуска и 10 дней больничных; — оценка эффективности два раза в год; — испытательный срок 3 месяца; — поддержка цифровых кочевников. Преимущества и бонусы: — индивидуальные языковые занятия; — страхование RemoteHealth Premium с покрытием до $5000 в год; — образовательный бюджет; — консультации по налогам с менеджером; — клуб бега QIC в Strava; — корпоративные скидки в программе Privilege, включая Qatar Airways.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team: OKX data team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services.  As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. Responsibilities: Build and maintain the data warehouse for the risk control business domain, and develop the thematic metrics/indicator system to support data needs across all risk control business lines. Design and implement the technical architecture for offline and real-time data application services, and optimize the performance of data pipelines. Develop reporting data and interface (API) data for the data mart. Requirements: Bachelor’s degree or higher from an accredited university in Computer Science or a related field, with 4+ years of industry experience . Experience with Real-time Data Engineering, having used technologies like Flink Solid understanding of data warehouse modeling theory, with hands-on experience in data warehouse model design, in-depth knowledge of data warehouse architecture, and a track record of supporting real-world business scenarios. Familiarity with a range of big data architectures, especially Alibaba Cloud DataWorks/MaxCompute and AWS, as well as Spark, Databricks, and StarRocks/Doris (a plus). Strong communicator with business acumen and the ability to perform under pressure; able to quickly grasp business context and effectively bridge technical and business needs. Experience building data middle-platform capabilities such as user profiling, risk control systems, and metrics systems is preferred. Perks & Benefits: Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Задачи: — Обеспечивать стабильную и бесперебойную работу кластеров PostgreSQL — Развёртывать новые экземпляры баз данных и кластеры — Настраивать и поддерживать решения высокой доступности (HA) — Реализовывать и поддерживать процессы резервного копирования и восстановления — Автоматизировать рутинные задачи и интегрировать утилиты управления базами данных — Мониторить производительность, выявлять узкие места и устранять их Требования: — Опыт управления командой — Глубокие знания PostgreSQL — Опыт администрирования баз данных не менее 5 лет — Владение Linux — Опыт работы с Bash и Python скриптами — Понимание принципов высокой доступности и резервного копирования — Опыт мониторинга баз данных и анализа производительности Хорошо, если есть: — Знания Docker, Jenkins, Ansible, Terraform — Опыт работы с Kubernetes (EKS или самостоятельное управление) — Знакомство с системами контроля версий (Git) — Опыт работы с Jira и Confluence — Опыт или знания в области финансов и трейдинга — Знакомство с платформой TradingView Условия: — Постоянный контракт — Гибкий график с широким диапазоном начала рабочего дня — Гибридный формат работы: удалённо и в офисе — Пакет релокации с поддержкой визы, транспортировки и проживания — Частная медицинская страховка — Премии за результаты работы — Обучение и наставничество — Премиум-подписка TradingView — Ежегодные командные мероприятия — Хорошо оборудованное рабочее место с тренажёрным залом и дополнительными бонусами

Задачи: — Писать кастомные парсеры под соц сети, медиахостинги и маркетплейсы — Реализовывать сервисы на Python — Разрабатывать и поддерживать сервисы для сбора данных Требования: — Опыт разработки и поддержки высоконагруженных парсеров/scrapers от 3х лет — Python от 3х лет — Понимание типов различных прокси-серверов (ротация прокси, мониторинг качества), принципов работы CAPTCHA — Работа с rate limiting — Playwright — AsyncIO, aiohttp/httpx — Опыт reverse engineering внутренних API веб- и мобильных приложений — Опыт работы с базами данных (PostgreSQL / ClickHouse / Redis) — Отличное понимание HTTP/TCP, работы CDN, REST API, GraphQL, антибот-систем и методов их обхода Будет плюсом: — Опыт разработки парсеров для площадок: Instagram, YouTube, Tik Tok, Trip Advisor, Spotify, X, Flickr, LinkedIn, Reddit и аналогичные — Опыт работы с Grafana/Prometheus — Kubernetes — Kafka/RabbitMQ Условия: — Проектная занятость с гибким форматом работы — Прямая коммуникация с техническим руководством без бюрократии — Возможность вырасти в полноценную техническую роль внутри компании

Мы развиваем ИТ-продукт, который включает в себя масштабную WEB-платформу и интерактивного Telegram-бота / Mini App. Наш стек: Python, Airflow 2+, dbt Core, ClickHouse, PostgreSQL, Docker, GitLab. Продукт быстро растет, и сейчас мы ищем Data Engineer, который поможет нам масштабировать аналитическую инфраструктуру и сделать работу с данными быстрой и надежной. Задачи: — Разрабатывать и поддерживать ETL/ELT-процессы на базе Airflow и dbt Core — Интегрировать новые источники данных: PostgreSQL, внешние API и сервисы — Развивать существующее хранилище данных на ClickHouse и поддерживать аналитические витрины — Оптимизировать SQL-запросы и производительность пайплайнов — Поддерживать и развивать инфраструктуру аналитической платформы (Docker, Airflow, dbt) — Взаимодействовать с аналитиками для реализации новых витрин, метрик и источников данных — Участвовать в расследовании инцидентов, связанных с качеством данных и работой пайплайнов — Поддерживать техническую документацию и участвовать в передаче знаний внутри команды Требования: — Опыт на позиции инженера данных от трёх лет — Уверенное знание SQL и опыт работы с аналитическими СУБД — Практический опыт работы с ClickHouse: проектирование таблиц, выбор движков, партиционирование, оптимизация запросов — Опыт разработки и поддержки ETL/ELT-процессов: способность самостоятельно выбирать способ интеграции источника данных, проектировать структуру загрузки, хранение и обновление данных с учетом требований бизнеса и технических ограничений — Опыт работы с Apache Airflow 2+: разработка, поддержка и отладка DAG'ов, понимание механизмов планирования, зависимостей и мониторинга пайплайнов — Опыт работы с dbt Core — Хорошее знание Python: умение разбираться в существующем коде, дорабатывать и разрабатывать новые компоненты интеграций и пайплайнов — Опыт работы с PostgreSQL и понимание особенностей инкрементальных выгрузок данных — Опыт интеграции внешних REST API — Понимание принципов контейнеризации и опыт работы с Docker / Docker Compose — Умение самостоятельно декомпозировать задачи и доводить их до результата Будет плюсом: — Опыт работы с Airflow 3+ — Опыт работы с BigQuery — Опыт работы с Google Analytics / GA4 — Опыт работы с облачными платформами (GCP, Yandex Cloud, AWS) — Понимание базовых принципов работы блокчейн-сетей и транзакционных данных — Опыт использования AI-инструментов для разработки и сопровождения кода Формат работы: удаленно Часовой пояс: MSK

Задачи: — Проектировать схемы данных и писать высоконагруженные SQL-запросы для аналитических и OLTP-задач. — Разрабатывать и поддерживать ETL/ELT-пайплайны, обеспечивая качество и консистентность данных. — Оптимизировать производительность запросов: профилирование, анализ планов выполнения, выбор стратегий партиционирования и шардирования в ClickHouse. — Участвовать в проектировании архитектуры хранения данных, выбирая подходящий движок (MergeTree, ReplacingMergeTree и др.) под конкретную задачу. — Взаимодействовать с бэкенд-командой для интеграции слоя данных с сервисами приложения. — Документировать решения, схемы и подходы для команды. Требования: — Уверенное владение SQL - сложные аналитические запросы, оконные функции, CTE, подзапросы. — Опыт работы с ClickHouse от 3 лет: понимание архитектуры колоночного хранения, движков таблиц, материализованных представлений, настройки репликации и шардирования. — Понимание принципов проектирования схем данных для OLAP-систем. — Опыт работы с большими объёмами данных (десятки и сотни миллиардов строк). — Навыки профилирования и оптимизации запросов. — Знакомство с Linux на уровне уверенного пользователя. Будет плюсом: — Опыт работы с YDB — понимание модели данных, работа с YQL, знание подходов к проектированию распределённых транзакционных схем. — Опыт с другими СУБД: MySQL, MariaDB. — Знакомство с инструментами миграции данных (debezium). — Понимание принципов распределённых систем и CAP-теоремы. Условия: — Полная занятость. — Удаленка, офис\ гибрид (Москва). — Возможность гибкого графика.

Требования: - Высшее техническое образование по статистике/прикладной математике/IT - Знания Python, Docker, n8n, SQL Обязанности: - Создание LLM-агентов на основе метаданных DWH - Покрытие витрин дополнительными тестами и автоматизация проверок данных - Разбор структуры DWH и изучение документации Условия: - Официальное трудоустройство на 3-6 месяцев - Заработная плата 50 000 руб. гросс - Частичная занятость удаленно, гибкий график работы

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are looking for a Database Administrator who will contribute to the design, deployment, optimisation, and full lifecycle management of enterprise-level cloud database platforms. You will implement multi-cloud architectures for Alibaba Cloud and AWS databases, ensuring high availability, high performance, and cost optimization. What You'll Be Doing Execute end-to-end database operations, including backup and recovery, monitoring and alerting, health checks, capacity planning, release support, lifecycle management, and operational documentation, ensuring database platforms meet business requirements for stability, performance, and availability. Drive database reliability and performance optimization, including SQL tuning, index optimization, schema review, workload analysis, slow-query analysis, and root-cause investigation for production incidents. Implement database security and governance controls, including access management, privilege review, audit logging, encryption, data masking, vulnerability remediation, and security baseline enforcement. Maintain, and regularly validate database backup, recovery, and disaster recovery solutions, including RPO/RTO planning, restore testing, cross-region/cross-zone replication, failover drills, and emergency recovery procedures. Deliver database migration, scaling, sharding, read/write splitting, high availability, and data distribution solutions for business-critical systems. What We Look For In You Bachelor's degree or above in Computer Science or a related field, with 4+ years of database management experience and 2+ years of cloud platform (Alibaba Cloud / AWS) experience. Proficiency in relational, NoSQL, and distributed database architectures; familiar with high-availability designs and proven experience delivering them in production. Deep understanding of mainstream database engine internals; strong hands-on database design, capacity planning, and architecture governance capabilities. Proficient in database performance tuning and optimization; experienced operating databases at high concurrency and large-scale data volumes.\Hands-on experience with MySQL, PostgreSQL, Redis, MongoDB, Elasticsearch, HBase, and Kafka. Strong Linux/Unix system administration skills, with proficiency in Python and Shell scripting; familiarity with Perl or PHP is a plus. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team The Legal, Compliance & Finance Data Team builds the data infrastructure powering OKX's compliance operations globally — TMS, KYC/EDD, CMS, and regulatory reporting across 100+ markets. The compliance data domain is broad but learnable. We expect senior engineers to build deep domain knowledge quickly using AI tooling and structured onboarding. About the role We are looking for a Senior Data Engineer to work as a core execution partner to our Compliance Projects. This is a hands-on technical role with real domain ownership — you will own sub-domains end-to-end, not just execute tickets. Strong performance creates a direct route toward the Compliance domain's technical leadership layer as the team scales. Responsibilities: Pipeline Ownership: Own end-to-end pipelines from ODS ingestion through CDM to downstream marts serving TMS, KYC, CMS, and regulatory reporting. Design, build, and maintain production-grade pipelines with reliability, auditability, and regulatory correctness as first-class requirements. Full-Stack Compliance Coverage: TMS: transaction monitoring feeds, rule feature engineering, Scila/TME platform data integration, TME/ARS features KYC/CRR/EDD: KYC refresh pipelines, remediation datasets, CRR scoring features, Worldcheck integration CMS: case management data, transaction analysis tooling, bulk search, KYB operation data Regulatory reporting: recurring compliance reports for global and jurisdiction-specific requirements Data Quality: Design proactive DQC checks into pipelines. Own monitoring and reconciliation; build alerting that catches issues before downstream systems or regulators do. AI-Accelerated Domain Building: Use AI tooling actively to ramp on compliance domain knowledge. Apply LLM-assisted development to accelerate pipeline development, DQC design, and documentation. Collaboration: Work closely with the Compliance Project Lead as a trusted technical partner — take sub-domain ownership to expand his effective bandwidth. Mentor junior engineers as your domain confidence grows. Requirements: 4+ years in data engineering with strong production pipeline experience (ETL/ELT, SQL, Python, orchestration) Demonstrated ability to own a data domain end-to-end — business logic, quality, and incident handling Strong data modelling skills for compliance or financial data (auditability, lineage, immutability) Fast domain learner with evidence — can point to a time they ramped up in an unfamiliar domain quickly, ideally using AI tooling Comfortable working in ambiguity: turns underspecified compliance requirements into scoped engineering tasks Preferred Qualifications: Experience in compliance, AML, KYC, transaction monitoring, or financial crime data domains Background in crypto, fintech, or regulated financial services Familiarity with Scila, Unit21, World-Check, or equivalent TMS/CMS platforms AI/LLM tooling applied to data engineering in practice — concrete examples preferred Perks & Benefits: Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team The Finance Data Team is responsible for the data infrastructure that powers OKX's compliance, regulatory, and financial reporting operations globally. Our Finance Data domain covers everything from raw transaction ingestion to consolidated group financials — supporting statutory reporting, board-level financials, and audit readiness across 100+ markets. This is a team that treats data correctness as a non-negotiable. We operate at the intersection of engineering rigour, financial domain knowledge, and regulatory accountability. About the role We are looking for a Staff Data Engineer to be the technical anchor for Finance Data at OKX. You will define how Finance data is architected, validated, and delivered, and set the standard for how the team operates in an AI-native way. You will work directly with Finance, Accounting, and Treasury stakeholders to ensure that financial data is complete, reconciled, traceable, and audit-ready. You will also be the domain's primary escalation point and the technical voice of Finance Data within the broader engineering organisation. This role suits someone who has operated as a de facto domain lead before — someone who has built financial data systems that have been reviewed by auditors, regulators and who knows what "good" looks like in a regulated financial data environment. Responsibilities: Domain Architecture & Technical Direction Own the end-to-end Finance data architecture: from ODS ingestion through CDM transformation to reporting mart, with clear data lineage documented at every layer Define and enforce data modelling standards for Finance: period cut-off immutability, multi-entity consolidation logic, revenue recognition alignment, and audit trail completeness Lead the design of scalable pipelines supporting trading data, asset positions, P&L, and cost accounting across multiple legal entities and jurisdictions (SG, EU, US, and others) Make architectural decisions independently and articulate trade-offs clearly to both engineering peers and non-technical Finance stakeholders Financial Reporting & Audit Readiness Partner with Accounting, Finance PMO, and Treasury to deliver datasets for month-end close, statutory reporting, and board-level financials on time and to audit standard Ensure every financial figure is traceable back to the source system with full transformation history — no black boxes Build the data foundation that supports OKX's regulatory reporting obligations and long-term financial reporting maturity Data Quality & Controls Design proactive, self-validating DQC frameworks — reconciliation logic, SLA monitoring, and anomaly detection built into pipelines, not bolted on after incidents Own incident response for Finance-critical pipeline failures; conduct structured post-mortems and drive permanent fixes Define "done" for financial correctness in partnership with Accounting; hold the line on data quality standards even under delivery pressure AI-Native Finance Data Lead the team's adoption of AI-assisted engineering: LLM-assisted development, automated anomaly detection, intelligent reconciliation, AI-generated reporting summaries Evaluate and introduce AI tooling into Finance data workflows with production evidence — not POC demos Set the bar for what an AI-native Finance data team looks like, and bring junior engineers along Technical Leadership & Influence Be the go-to escalation point for Finance data domain questions across the team Mentor and grow engineers working in the Finance domain; translate domain complexity into learnable patterns Represent Finance Data in cross-team architecture discussions, sprint planning, and stakeholder reviews Document domain knowledge that outlasts any individual — data dictionaries, pipeline specs, onboarding guides Requirements: 6+ years in data engineering, with at least 3 years owning a Finance, Accounting, or financial reporting data domain end-to-end Deep understanding of financial data fundamentals: period close and cut-off rules, revenue recognition, multi-entity consolidation, reconciliation, and audit trail requirements Demonstrated experience building data systems that have been reviewed in a statutory audit or regulatory review Strong SQL and Python; proven ability to design and maintain complex production pipelines at scale Experience designing for immutability and lineage — financial data that can be rolled back, re-run, and traced without manual intervention Track record of operating with significant autonomy: defining requirements from ambiguous stakeholder input, not just executing tickets Preferred Qualifications: Experience at a crypto exchange, fintech, or company that has gone through IPO preparation or public company financial reporting Familiarity with regulatory reporting requirements across multiple jurisdictions (MAS SG, SEC, FCA, or equivalent) AI/ LLM tooling applied to data engineering workflows in production — concrete examples required; "exploring" does not count Experience with Spark, Airflow, or equivalent orchestration at scale Prior experience as a de facto domain lead or tech lead without formal people management title Background working with Accounting/Controllership teams as a technical counterpart Perks & Benefits: Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Задачи: - Поддержка текущего функционала продукта. - Расширение и развитие функционала действующего продукта. - Анализ логов, данных, выстраивание логических цепочек, построение и проверка гипотез. - Создание и поддержка новых дата-пайплайнов. - Работа с Clickhouse. Написание и оптимизация средних/сложных SQL запросов. - Анализ, подготовка и обработка данных. - Обеспечение качества данных. Предстоит поддерживать и развивать: - Десктопное кроссплатформенное ПО (Java 17+, Swing). - Монолитное ПО, включает в себя клиентскую и серверную части (взаимодействие посредством gRPC). - Отсутствие фрэймворка, используются собственные наработки. - Организация взаимодействия с БД (PostgreSQL, ClickHouse) посредством jdbc, без подключения дополнительных библиотек. - Организация работ механизмов в многопоточном режиме с помощью ExecutorService, CompletableFuture. - Покрытие кода тестами (Mockito, JUnit). - Аналитические запросы и большие объёмы данных (~60 TB). Требования: - Опыт работы в аналогичной роли от 3 лет. - Знание теории реляционных БД, понимание логической, физической моделей БД. - Опыт оптимизации сложных запросов. - Опыт поиска проблем в работающих под высокой нагрузкой системах. - Опыт создания и поддержки ETL-процессов. - Глубокий практический опыт разработки на Python (pandas, numpy). - Опыт работы с Apache Airflow, самостоятельное создание DAG. - Опыт работы с СУБД Clickhouse, написание средних/сложных и нетривиальных SQL-запросов. - Умение самостоятельно брать задачи, по необходимости уточнять требования и доводить до финального результата. - Навык поиска оптимальных решений: умение работать в условиях неопределенности, формулировать вопросы и предлагать решения.

Location: Toronto; Europe; London; New York Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Senior Member of Technical Staff specializing in web data for pre-training, you will play a pivotal role in developing the large scale web data pipeline that underpins Cohere’s advanced language models. In this role, you will work extensively with large-scale web corpora, transforming raw, noisy internet data into high-quality training data for pretraining. You will own key components of the data pipeline, including extraction, parsing, deduplication, and filtering. You will also analyze the composition and quality of web data, study its impact on downstream model performance, and collaborate closely with the broader data and evaluation teams to iterate on the training corpus. Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. (EST/EU) Key Responsibilities: - Maintain large-scale pipelines for processing web corpora. - Work on filtering and quality-scoring systems to identify high-value web documents. - Analyze web data composition across domains, languages and time periods. - Develop and maintain highly-performant deduplication pipelines. - Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models. Qualifications: - Strong software engineering skills, with proficiency in Python and experience building data pipelines. - Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools. - Experience working with large-scale web datasets. - Knowledge of data quality assessment techniques and experimentation with data mixtures. - A passion for bridging research and engineering to solve complex data-related challenges in AI model training. Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Задачи: — Разработка и поддержка real-time feature store на базе Apache Flink для ML-решений — Создание и масштабирование потоковых конвейеров обработки данных объемом в терабайты ежедневно — Обеспечение качества данных, валидации и мониторинга данных end-to-end — Поддержка низколатентных (<100ms p99) потоков данных для систем выбора рекламы и ценообразования — Тесное взаимодействие с командами Data Science, Backend и Infrastructure Требования: — Опыт построения и масштабирования инфраструктуры данных или потоковых систем в продакшене на значительном масштабе — Знание распределенных систем, событийно-ориентированных архитектур и высокопроизводительных потоковых конвейеров — Сильные навыки backend-разработки, особенно на Java — Практический опыт работы с Kafka, Flink или аналогичными технологиями потоковой обработки — Понимание взаимодействия продакшен-систем данных с ML-командами и влияния на производительность ML — Ориентация на создание инфраструктуры, обеспечивающей реальное время и интеллектуальные решения Условия: — Работа в Гамбурге в гибридном формате (3 дня в офисе) — Полная поддержка релокации и визовая поддержка для международных кандидатов — Зарплата в диапазоне 85-100 тыс. евро в год Технологический стек: Kafka, Apache Flink, Go, Java, AWS (S3, DynamoDB), Redis, Druid, Kubernetes, Terraform, Airflow, Prometheus, Grafana, ELK

Задачи: — Проектировать и развивать архитектуру корпоративного Data Warehouse — Строить ELT-пайплайны с использованием Python — Поддерживать Master Data Management (MDM) и качество данных — Разрабатывать дашборды и отчёты в Power BI — Управлять рабочим пространством Power BI и доступом — Взаимодействовать с командами аналитики, продукта и технологий Требования: — Опыт 3+ года в BI, Data Analyst или BI Developer — Уверенное владение SQL (PostgreSQL, BigQuery) — Опыт проектирования DWH и моделирования данных — Знание Python (pandas, SQLAlchemy, Airflow или аналогичные инструменты) — Опыт работы с Power BI (отчёты, дашборды, администрирование) — Глубокое понимание BI-систем и рабочих процессов Плюсы: — Опыт в e-commerce, игровой индустрии или цифровых продуктах — Знание Power Query, Power Pivot — Опыт с Looker Studio, QlikView — Опыт автоматизации отчётности Условия: — Работа в быстрорастущей fintech-компании — Высокая степень ответственности и реальное влияние на продукт — Международная команда и современный офис — Зарплата 5000-8000 евро net — Поддержка релокации (перелёт, проживание, виза) — Гибридный формат работы в Лимассоле

Location: Worldwide, Remote; Uruguay, Remote; Argentina, Remote; Brazil, Remote; Mexico, Remote; Philippines, Remote ABOUT LUXOR Luxor is the leading software and services provider for Bitcoin miners and the broader compute industry. Our full-stack platform supports gigawatts of compute infrastructure, giving operators the tools to monetize their compute, optimize and trade hardware, access financial instruments, and manage energy. We believe that compute power is becoming the world’s next major commodity and our products are built to support this shift. Our goal is to become the leaders in harnessing, refining, and trading compute, unlocking a new asset class for the world’s most important digital resource. As Luxor continues to scale rapidly across software, hardware, financial, energy and cloud infrastructure products, every team member has the opportunity to shape mission-critical systems, influence company-wide strategy, and contribute directly to the future of the compute economy. ROLE DESCRIPTION We are looking for a Data Engineer to join our collaborative, and fast-moving team to work on one of the most rewarding projects in the mining and compute industry. BASIC REQUIREMENTS - Experience building both streaming & batch data pipelines/ETL and familiarity with design principles. - Expert in Python, PostgreSQL, and PL/pgSQL development and administration of large databases with focus on performance and production support on native cloud deployments. - Experience with scalability solutions and multi-region replication and failover solutions. - Experience with data warehouse technologies (Trino, Clickhouse, Airflow, etc). - Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering, or a related technical discipline or equivalent experience. - Deep understanding of programming and experience with at least one programming language. - English language proficiency. PREFERRED REQUIREMENTS - Knowledge of Kubernetes and Docker - 4+ years of working experience in relevant data field. - Knowledge of blockchain technology / mining pool industry. - Experience with agile development methodology. - Experience delivering and owning web-scale data systems in production. - Experience working with Kafka, preferably redpanda & redpanda connect. THE IDEAL CANDIDATE - Passionate about cryptocurrency and public-blockchain technologies. - Has an interest in creating an entirely new market with Hashrate (compute power) as a commodity. - Has an interest in thinking and evolving the architecture of our software to make it robust and maintainable. - Enjoys writing code and pushing boundaries of what has been done so far. - Brings fun to the team but can also go own the rabbit hole to push quality code on schedule. RESPONSIBILITIES - Build scalable and reliable data pipelines that provide accurate data feeds from internal and external systems. - Govern scalable & performant cloud-deployed production relational and non-relational databases. - Collaborate on architecture definitions, always thinking of solutions that are scalable and secure. - Drive data systems to be as near real-time as possible. - Design, document, automate and execute test plans to ensure the quality of the datasets. - Participate in the process of generating and analyzing features. At Luxor we believe that meaningful contributions can be made by anyone. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Luxor welcomes all! Luxor does not accept unsolicited headhunter and agency resumes. Luxor will not pay any third-party agency or company that does not have a signed agreement with Luxor. HOW WE USE AI IN OUR HIRING PROCESS We use AI tools to support certain parts of our hiring process, and we believe in being transparent about how they’re used. During your application, AI may assist in reviewing CVs, qualifications, and assignments by providing additional insights, but it does not make decisions, every application is evaluated at each step by a member of our hiring team. We also use AI to transcribe interviews so our team can stay focused on the conversation rather than note-taking. Any voice recordings are automatically deleted within 15 days. In addition, AI helps us keep candidates informed about their application status and helps us understand how our process is working so we can improve it over time. In all cases, AI is used to support efficiency and consistency, not to replace human judgment. If you have any questions about how we use these tools or your data, or if you would prefer to opt out of any of these features, please include them in the dedicated section of the application form, and we’ll follow up accordingly.

Location: New York; San Francisco; Canada; United States; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? The Data Infrastructure team at Cohere is responsible for the storage and data movement layer underlying every model training run. We're building the unified storage layer that feeds our training workloads. It needs to serve petabytes of training data and model checkpoints fast enough to keep thousands of GPUs busy across several training clusters. In this role, you’d have an opportunity to build this system from the ground up. You’d be a key contributor, working on a problem few teams have had to solve at this scale. In this role, you will: - Design, build, and operate the distributed storage system that feeds model training and evaluation. - Run this system multiple on Kubernetes clusters at petabyte scale. - Work with researchers and training-infra teams on how jobs actually read and write data, and turn that into throughput, latency, and durability requirements - Work through the networking, I/O, and consistency problems of moving large datasets and checkpoints across regions and backends, with GPU idle time and time-to-insight as the measures of success You may be a good fit if you have: - Strong storage fundamentals, including replication, consistency, caching, and data lifecycle management. - Strong coding ability. We work in Python and Go; experience in either is enough, but you should be willing to pick up the other - Experience running stateful systems on Kubernetes, including Persistent Volumes, CSI drivers, and StatefulSets. - Hands-on experience with cloud object storage such as S3 as well as POSIX-style filesystems. It’s a bonus if you have: - Experience with parallel or HPC filesystems such as Weka, VAST, or Lustre. - Familiarity with the data-loading and checkpointing patterns used in large-scale model training. - An interest in how large models are trained and evaluated, including the trajectory and eval data those runs generate, and a desire to understand the workloads the platform is serving. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.