Location: Brazil; São Paulo, São Paulo, Brazil
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
Drive 360 Brand Plans for the Fashion and Pre-school brands to maximize Hasbro's profitability and revenue through portfolio management, price strategy, and trade and communication briefings.
Location and Work Arrangement
This role is based at our São Paulo, Brazil office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Achieve brand growth & profitability aligned with annual budget plan
Deliver accurate portfolio recommendations by brand and channel for the main line and exclusives line.
Effectively launch communication brand plans aligned with Trade&Marketing manager / Licensing and Location-Based Entertainment (LBE) experiences and events
Monitor brand performance monthly (point of sale and sell-in by brand) and identify improvement opportunities for each brand.
Advocate of brand strategy for Sales, Media, Trade & E-com team considering consumer and customer needs
Lead Marketing's participation in the Forecast Consensus Meeting with the Sales, Finance, and Operations teams
Influence stakeholders and help the team prioritize tasks.
Lead contact with regional/global team for the main brand's topics
Support the director with strategict reports and analysis about the brands
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Amsterdam; Netherlands
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
Join the world’s leading play and entertainment company in an Operations support role, working with iconic brands like NERF, PLAY-DOH, MONOPOLY, TRANSFORMERS, MY LITTLE PONY, and PEPPA PIG, and global licensed properties like MARVEL and STAR WARS. We at Hasbro offer you the opportunity to work with iconic brands like NERF, PLAY-DOH, MONOPOLY, TRANSFORMERS, MY LITTLE PONY, and PEPPA PIG, and huge global licensed properties like MARVEL, and STAR WARS.
We at Hasbro are recruiting for a Senior Customer Service Representative. In this role you will be based in our Amsterdam office but you will also have the flexibility to work from home. As a Customer Service Representative, you will work in our fun team delivering requirements, orders, quotes, including busy peak periods. As a valued team member, you will also support your team during planned and unplanned periods.
Location and Work Arrangement
This role is based at our Amsterdam, Netherlands office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Ensure accuracy and timely order management of the orders.
Resolve routine and non-routine enquiries, work as a standout colleague and deliver the highest service to our customers.
Communication with the customers by email and phone.
Complete Customer Service tasks such as pricing approvals, crafting internal POs, etc.
Liaise with internal stakeholders in Sales, Warehouse, Finance and Marketing.
Provide accurate, valid, and complete information to internal and external stakeholders.
Deliver product information to the customers in line with their critical paths.
Have a clear understanding of our business objectives and account promotional activities and support the delivery of local activation plans & Product Launches.
Adhere to all SOX processes ensuring 100% compliancy
To take personal responsibility for achieving excellent levels of customer service and customer happiness when dealing with our HET/HIT Benelux customers, both internal and external.
What You'll Bring
This is a multi-market role and therefore a high fluency in English and French is required with an additional European language beneficial but not essential Languages: English & French
Understanding of “order to cash” process
Good knowledge of MS Office - and the ability to learn new packages including SAP
Interest or experience working on AI driven projects.
Ability to use data, work with numbers, trend service metrics & use the insights to highlight opportunities for performance improvement.
Ability to meet deadlines, have attention to detail & able to prioritize and react constructively under pressure.
You are eligible to work in the Netherlands and you are either already based in the Netherlands or you are looking to move here. Please note that Hasbro is not willing to sponsor relocation for this position.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
€44.000
—
€66.000 EUR
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
🧩 Требования: промышленный опыт от 5 лет в data engineering или backend-разработке с сильным дата-уклоном — production-системы под реальной нагрузкой и ответственность за их эксплуатацию;
УдалённоseniorГеография найма не уточнена, офис: Москва
Location: Санкт-Петербург
SberData отвечает за развитие платформы для работы с данными в Сбере. У нас свыше 230 Петабайт данных, около сотни продуктов и сервисов для клиентов. Мы создаем собственные сборки платформ в рамках вендорозамещения и активно сотрудничаем со всеми блоками Сбера для решения их бизнес-задач: наши пользователи сделали уже свыше 6500 витрин. SberData внедряет лучшие практики работы с данными, снижает стоимость хранения данных, повышает скорость получения данных, внедряет AI-технологии. Нашими решениями пользуются свыше 30 тыс человек. Технологический стек: Python, pydantic, FastMCP; RAG/поиск: ChromaDB, эмбеддинги, rank-bm25; наблюдаемость: OpenSearch (DSL), Grafana API (PromQL); платформа как объект управления: Kafka, Flink, Spark, HDFS, OpenAPI-спеки; инфраструктура: Git (Bitbucket), Jenkins, Nexus, Vault, k8s.
Обязанности
### Задачи
* разработка MCP-инструментов: Python/FastMCP
* развитие RAG-контура базы знаний: индексация, гибридный поиск (dense-эмбеддинги + BM25), оценка качества, reranker
* аналитика данных платформы
* код-ревью, документирование решений, развитие тестов (pytest).
Требования
### Требования
* высшее образование: техническое/математическое
* опыт разработки на Python не менее 1,5 лет
* базовое понимание области data engineering: как устроены ETL/репликация данных, потоковые пайплайны
* SQL — уверенный уровень
* Git, CI/CD (Jenkins или аналог)
* Linux/bash
* английский — чтение технической документации.
### Будет плюсом
* опыт построения RAG: векторные БД, эмбеддинги, чанкинг, оценка качества поиска (hit rate/recall/MRR)
* навыки работы с генеративными AI-моделями, опыт создания AI-агентов (MCP, LangChain)
* знакомство с Kafka, Flink/Spark, Hadoop/HDFS
* опыт интеграций по REST/OpenAPI
* опыт Java/Scala.
Условия
### **Мы предлагаем**
* комфортный современный офис в г. Санкт-Петербург ул Уральская, 1литерВ
* возможность выбрать удобный график – офис/гибрид
* ежегодный пересмотр зарплаты, годовая премия
* корпоративный спортзал и зоны отдыха
* 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
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера.
Location: Intellias
Meet your recruiter
Kateryna Zemetska
kateryna.zemetska@intellias.com
https://www.linkedin.com...
Vacancy details
Data Engineering
Data Engineer
Senior
Bulgaria, Croatia, Poland, Portugal, Spain, Ukraine
Remote
APPLY NOW
REFER A FRIEND
We are hiring a Senior Data Engineer to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client. This is a hands-on senior role. You will write production code every week, own architectural decisions on your workstream, and mentor a paired mid-level engineer.
What project we have for you
Our client is an independent, active global asset manager with over R3 trillion in assets under management. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains.
As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog.
What you will do
Perform the end-to-end delivery of one or more priority data domains on Azure Databricks.
Design and build medallion (Bronze / Silver / Gold) pipelines using Lakeflow Declarative Pipelines, Auto Loader, Structured Streaming and Delta Lake with Liquid Clustering.
Register curated data products in Unity Catalog with the correct tags, masks, row filters, lineage and access policies.
Implement data quality gates at the Silver-to-Gold boundary, and refine rules with domain stewards.
Package and deploy work using Databricks Asset Bundles through Azure DevOps CI/CD
Write automated tests and documentation
Work at AI-as-Collaborator level today with a path to AI-as-Orchestrator, using Claude Code, Databricks Assistant, GitHub Copilot and MCP-connected agent tooling to accelerate the recurring parts of pipeline build, test and deploy.
What you need for this
6+ years of data engineering experience, with at least the last three years on Databricks in production.
Deep hands-on experience with medallion / Lakehouse architecture, Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines and Databricks Asset Bundles.
Strong python, PySpark and SQL, comfortable diagnosing performance issues on large workloads through Spark UI and Photon.
Real production experience with streaming ingestion (Kafka Structured Streaming, Auto Loader) and CDC patterns.
Experience implementing data quality at scale (Great Expectations or equivalent), plus lineage, cataloguing and access control.
CI/CD on data platforms through Azure DevOps or GitHub Actions, with infrastructure as code (Terraform or equivalent).
Fluent working English.
Nice to have
Active Databricks certifications
Prior exposure to investment management platforms, asset management operations data, market data feeds from major providers
CDMP DAMA certification or equivalent data governance credential.
Experience applying agentic engineering tooling to production data engineering (not just personal productivity), including MCP-connected Databricks or cloud servers.
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.
Skills
Databricks
Location: Москва
Workplace: Комбинированный
Мы создаём крупнейший видеосервис в России, которым ежедневно пользуются миллионы пользователей. Это огромная ответственность по удовлетворению различных сценариев и вкусов наших пользователей! Задача поиска релевантного и подходящего видеоконтента с каждым годом становится всё более актуальной.
Наш фокус
— стать топ-1 платформой по просмотру видео в России, и качественный поиск один из ключей к этому результату.
Рост базового качества результатов выдачи по вашим запросам служит фундаментом на длительную перспективу, а оптимизация пользовательского опыта поиска позволяет найти баланс комфорта и вкусов пользователей уже сейчас.
Мы ищем ML-инженера, который поможет сделать поиск максимально релевантным и полезным. Вас ждёт работа с большими данными, высоконагруженной системой, экспериментирование с различными ML-подходами, проведение A/B-тестов, анализ пользовательского поведения, а также многое другое.
Задачи
Улучшение существующих подходов по оптимизации релевантности и пользовательского опыта поиска по видео
Участие в улучшении продукта на всех этапах — от формирования целей до технической реализации и проведения А/В-тестов
Реализация эффективных пайплайнов обработки больших данных и автоматизация офлайн компонент ML-решений
Анализ пользовательского поведения с последующей реализацией новых подходов к решению различных сценариев поиска
Изменение устройства рантайма поиска своими руками, в том числе внедрение новых архитектурных решений
Требования
Опыт работы в ML от двух лет
Опыт работы с большими данными (Hadoop, Spark, etc.)
Готовность работать над полным циклом внедрения ML-решений: от данных до экспериментов
Самостоятельность, умение брать ответственность за результат
Будет плюсом
Опыт работы в поисковых или рекомендательных системах
Знание алгоритмов и структур данных
Знание C++ и понимание принципов работы realtime-сервисов
Опыт внедрения ML-систем в продакшен
Опыт проведения и глубокого анализа A/B-тестов
Location: Boston, Massachusetts, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
The Associate Manager, Commercial Planning & Analytics, Hasbro Pulse keeps the Pulse commercial calendar running and on track. This role owns the day-to-day work behind every eCommerce launch, promotion and event: forecasts, launch tracking, asset delivery, inventory submissions and sell-through reporting. It then turns what the numbers show into clear recommendations for the team. Reporting to the Senior Category Manager, Hasbro Pulse, this role is the team's operational and analytical backbone. It owns item-level launch execution and forecasting, and tracks performance in real time so that insights drive action.
The ideal candidate is highly organized, follows through across multiple internal partners, and is comfortable working hands-on in the data. They combine strong analytical capability with commercial judgment and marketing creativity - turning complex data into clear recommendations that enable faster, more informed business decisions. Previous eCommerce experience is preferred.
Success in this role means launches go live on time with the right assets and inventory, forecasts and reporting stay current, and the team spots changes in performance early enough to act. A strong candidate in this role pairs reliable execution with the curiosity to ask why the numbers are moving.
Location and Work Arrangement
This role is based at our Boston, MA office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Evaluate launch performance across the Pulse portfolio, establishing benchmarks and identifying drivers of successful and unsuccessful launches.
Analyze promotional and marketing activity to understand incremental demand, product response and commercial effectiveness.
Partner to identify products or customer segments that would benefit from additional activation or support.
Provide analytical inputs that inform merchandising priorities, promotional planning, CRM activity and commercial calendar decisions.
Develop clear post-activation and post-promotion analysis, translating results into recommendations for future commercial activity.
Establish a consistent learning loop between product launches, customer response, marketing activity and future demand planning.
Maintain the Pulse launch tracker, keeping item and timing, status and readiness current.
Coordinate asset delivery for launches. Track creative, copy and product assets from Brand, Marketing and Product partners, and follow up on anything late so launches go live on time.
Develop item-level commercial and demand forecasts across the Hasbro Pulse portfolio, building initial forecasts from historical performance, comparable products and launches, category trends and known commercial drivers.
Continuously evaluate and update forecasts based on actual sales velocity, pre-order performance, customer demand signals, launch performance and evolving business conditions.
Monitor forecast-to-actual performance and identify material variances, underlying causes and implications for revenue and inventory.
Maintain a forward-looking view of demand across the portfolio and proactively flag potential upside, shortfalls and inventory risks.
Partner with the Senior Category Manager, Finance, Revenue Planning and Connected Commerce teams to ensure commercial forecasts accurately reflect current business expectations.
Support budget, forecast and Long-Range Planning processes with data-backed revenue assumptions, scenarios and commercial insights.
Maintain a comprehensive commercial view of inventory health across the Pulse assortment in partnership with Connected Commerce and Operations.
Proactively identify inventory risks and opportunities before they become material business issues, including potential overstock, constrained inventory and changing sell-through expectations.
Recommend actions to improve inventory productivity, including merchandising shifts, promotional support, forecast changes, marketing prioritization and other commercial interventions.
Monitor the effectiveness of actions taken and incorporate those learnings into future planning and forecasting.
Support strategies for excess and discontinued inventory with analysis of inventory position, demand trends, potential commercial levers and financial implications.
Partner with operational teams responsible for physical inventory management while owning the commercial interpretation and recommendations associated with inventory performance.
Lead inventory reviews and submissions for promotions and onsite events. Recommend quantities and assortment based on demand signals, past results and inventory position.
Develop a holistic view of Pulse performance by connecting traditional product and sales data with customer, site and marketing signals.
Monitor key commercial KPIs including revenue, units, conversion, average order value, traffic, purchase frequency, customer mix, loyalty behavior and other indicators of business health.
Analyze customer behavior—including new versus returning customers, registered and loyalty-member performance, purchasing patterns and category affinity—to identify opportunities to deepen engagement and customer value.
Partner with Connected Commerce teams to understand site performance, merchandising effectiveness, funnel behavior and conversion trends.
Evaluate how customer and site behavior influence product performance and incorporate those signals into commercial recommendations.
Identify meaningful changes in business performance and proactively investigate the underlying drivers rather than relying solely on standard reporting.
Own sell-through reporting across the Pulse assortment, and provide real-time performance tracking during launches, drops, promotions and events so the team can adjust quickly.
Serve as a primary source of commercial insights for the Senior Category Manager and broader Pulse commercial team.
Translate complex datasets into concise, actionable business recommendations.
Build regular commercial performance views that clearly communicate what happened; why it happened; how the outlook is changing; where risks and opportunities exist; and what actions the business should take.
Proactively surface opportunities and issues rather than relying on leadership to identify questions for analysis.
Develop scenarios and sensitivity analyses that enable leadership to evaluate commercial trade-offs and potential business decisions.
Partner closely with Finance, Marketing, Connected Commerce, Brand, Product and Supply Chain teams to ensure decisions are informed by a consistent fact base.
What You'll Bring
2+ years of progressive experience in commercial planning, category analytics, demand planning, merchandising analytics, revenue management, eCommerce analytics or a related discipline.
Strong forecasting capability with demonstrated experience using historical trends, comparable products and actual performance to build and refine demand forecasts.
Experience analyzing product, sales and inventory performance in a consumer, retail, eCommerce or direct-to-consumer environment.
Highly organized, with a track record of managing multiple launches and deadlines at once and following up across partners to keep work on schedule.
Strong commercial judgment and ability to move beyond reporting data to identifying implications and recommending action.
Demonstrated ability to synthesize multiple data sources into clear business insights and executive-ready recommendations.
Strong analytical capability and advanced proficiency with Excel and business intelligence/reporting tools.
Experience with forecasting and planning systems; familiarity with demand-planning tools.
Experience with customer, eCommerce or digital analytics, including conversion funnels, customer cohorts, segmentation, retention, purchase frequency and promotional effectiveness.
Strong commercial storytelling skills; able to distill complex analysis into concise insights and recommendations for senior leaders.
Intellectual curiosity and demonstrated ability to independently identify questions worth investigating rather than waiting for analytical requests.
Understanding of eCommerce KPIs including traffic, conversion, average order value, customer behavior and promotional effectiveness.
Experience partnering across Finance, Marketing, Merchandising, Supply Chain, Operations and commercial teams in a matrixed organization.
Strong communication skills, with the ability to explain complex analytical findings clearly to both analytical and non-analytical audiences.
Intellectual curiosity and a demonstrated ability to independently identify questions worth investigating and to ask why performance is changing, rather than waiting for analytical requests or simply reporting that it has changed.
Ability to operate comfortably in an evolving business where tools, processes, team structures and priorities continue to develop.
Passion for fan and collector culture and an interest in understanding the behaviors that drive engagement and purchasing within enthusiast communities.
Bachelor's degree in business, Finance, Economics, Analytics, Supply Chain or a related discipline preferred.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
Privacy Notice
Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$70,600
—
$98,900 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Argentina
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
We’re looking for a Senior Software Engineer, Optimize/Analyze to help develop and scale Webflow Optimize products.
You’ll design high-performance systems that adapt user experiences in real time, working with large-scale data processing and distributed computing to lift conversion and personalization at scale. Our team is fast-moving, data-driven, and experienced in personalization, ML infrastructure, and large-scale analytics.
The next chapter is ambitious. We’re serving some of the world’s largest enterprises and rethinking what an AI-native conversion platform can be. This is a cross-team technical role: you’ll work across a large, revenue-generating system, help decide what it needs to become, and partner directly with Engineering, Product, and Design to ship it.
About the role:
- Location: Remote-first (Argentina)
- Permanent, full-time employee (this is not a contractor position)
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for a new position.
As a Senior Software Engineer on the Optimize team, you'll:
- Architect, design, and build scalable multi-tenant backend services and APIs for our Optimize product, including our MCP server.
- Build with MongoDB, Druid, Airflow, AWS (EC2, S3), Python, and TypeScript/Node.js.
- Define clean service and API boundaries, and design and optimize the MongoDB data models and queries that power recommendations.
- Improve scalability and reliability through distributed architecture, caching strategies, and event-driven systems tuned for low latency.
- Lead projects from design through launch that move team and engineering org goals.
- Write and review maintainable, tested, performant code, and raise the quality bar for the team.
- Author, collaborate on, and evaluate design documents.
- Use AI tools in your daily work, and help the team build reliable systems on top of non-deterministic, LLM-backed components.
- Partner with product engineers, PMs, and designers to ship end to end.
ABOUT YOU
Requirements:
- BA/BS degree or equivalent experience
- Business-level fluency to read, write and speak in English
You’ll thrive as a Senior Software Engineer if you:
- 5+ years building and shipping production backend services, with a track record of performant, high-quality code.
- Depth in distributed systems: concurrency, asynchronous and eventually consistent processing, queues or streaming, and designing for failure.
- Strong Python and/or TypeScript/Node.js, plus data modeling experience in MongoDB or a comparable database.
- Experience with real-time analytics, event-driven architectures, and REST APIs.
- Hands-on experience with AWS, containers, CI/CD, and observability, and comfort owning infrastructure.
- Strong production debugging skills across services and layers of the stack.
- A habit of valuing testing, documentation, and reliability as much as shipping, and communicating trade-offs clearly.
- Curiosity and a proactive embrace of AI tools to work faster and expand the team’s impact.
It would be a bonus if you had even one of the following:
- Experience with Apache Spark, Airflow, or TensorFlow.
- Familiarity with Kafka or other event streaming platforms.
- Prior experience working on large-scale personalization, experimentation, or recommendation systems.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Stipends to support our distributed team. Localized support for cell, Wi-Fi, and WFH expenses to help you settle into your best remote life.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: Москва
Workplace: Комбинированный
Наша команда поиска — это те, кто делает поиск по-настоящему умным и удобным! Мы работаем над тем, чтобы пользователи Одноклассников, ВКонтакте и Дзена легко находили сообщества, авторов и каналы. Ты сможешь заглянуть вглубь современных поисковых систем, узнать, как они устроены изнутри, и внести свой вклад в их развитие. Тебя ждут уникальный опыт, интересные задачи и возможность влиять на то, как миллионы людей находят нужную информацию каждый день!
Задачи
Разрабатывать и улучшать классификаторы поисковых запросов
Дообучать модели мультимодальных эмбеддингов для поисковых вертикалей
Разрабатывать нейросетевые признаки для ранжирования
Повышать качество разметки релевантности с помощью LLM
Внедрять модели и оценивать их влияние на качество поиска
Требования
От трёх лет в ML, опыт применения NLP и LLM в продакшене
Знание Python
Опыт дообучения и оценки языковых моделей
Опыт обработки больших данных: Hadoop, Spark
Опыт полного цикла ML: от подготовки данных до внедрения и A/B-тестов
Понимание требований к задержкам и нагрузке онлайн-сервисов
Самостоятельность и ответственность за результат
Будет плюсом
Опыт использования ИИ в разработке
Знание базового С++
Workplace: Удаленно
Объединённая компания Wildberries и Russ — это международная технологическая компания, образованная в результате слияния двух лидеров рынка — IT-компании Wildberries и оператора наружной рекламы Russ.
Мы - команда платформы данных в направлении Trust & Safety.
Наша миссия - обеспечить T&S доступом к достоверным, актуальным и структурированным данным, предоставив надежную технологическую платформу и инструменты для их эффективного использования.
Мы строим платформу, которая объединяет в себе решения для:
- Хранения больших данных;
- Высокопроизводительных запросов (OLAP);
- Потоковой и батч-обработки;
- Визуализации и оркестрации данных.
Мы ищем разностороннего инженера, который сможет не только проектировать и разрабатывать пайплайны данных, но и активно участвовать в развитии платформенных сервисов, которому интересно разбираться в новом, который не боится задач на стыке разработки и дата инжиниринга.
Обязанности
Проектировать и разрабатывать потоковые процессы, которые читают события из Databus/Kafka и считают онлайн‑признаки, записывая их в Redis и Cassandra.
Проектировать и разрабатывать пакетные процессы, которые читают данные из S3/Iceberg через Trino, считают офлайн‑признаки и пишут результаты обратно в S3/Iceberg и/или ClickHouse.
Следить за тем, чтобы один и тот же признак был согласован между обучением и продакшеном (одна логика расчёта, единый контракт).
Настраивать расписания, пересчёты и бэки, чтобы признаки обновлялись вовремя и выдерживали SLA по свежести.
Работать с качеством данных: добавлять проверки, мониторить аномалии, разбирать инциденты, когда “признак поехал”.
Совместно с DS и аналитиками придумывать новые признаки и помогать перевести их из экспериментальных скриптов в стабильные пайплайны.
Требования
от 5 лет опыта в роли Data Engineer / Backend+Data;
Уверенный опыт работы с Kafka‑подобными очередями (Databus/Kafka): продюсеры/консьюмеры, партиционирование, ключи, обработка ошибок;
Практический опыт со streaming‑движком (желательно Flink; Spark Structured Streaming подойдёт, если есть реальный прод‑опыт);
Опыт работы с Redis или Cassandra как онлайновым хранилищем данных/признаков;
Опыт работы с S3‑подобным хранилищем и табличным форматом (Iceberg/Delta/Hudi) и доступа к ним через SQL‑движок (Trino/Presto/Spark SQL);
Отличное знание SQL и опыт работы с ClickHouse;
Python на уровне уверенной разработки data‑скриптов и сервисной логики;
Опыт настройки и сопровождения пайплайнов в Airflow;
Понимание задач ML‑пайплайнов: train/serve skew, пересчёты признаков, влияние задержек и потерь событий.
Условия
Обучение и развитие: языковые клубы, собственный корпоративный университет, программы развития управленческих навыков и многое другое;
Благополучие сотрудников: корпоративный пакет ДМС со стоматологией, корпоративный спорт, консультации психолога и дополнительные возможности аккредитованной IT-компании;
Множество сообществ: клуб спикеров, футбола, йоги, шахмат и т.д.;
Забота о семьях: создаем условия, в которых легко сочетать карьеру и заботу о близких – от гибкого подхода до масштабных проектов для детей сотрудников;
Скидки и партнерские программы: на обучение, страхование, покупки и многое другое;
Комфортная рабочая среда: бесплатное питание в офисе, современные офисы рядом с метро, корпоративная техника и портал для сотрудников.
Location: Intellias
Meet your recruiter
Bohdana Rubets
bohdana.rubets@intellias.com
https://www.linkedin.com...
Vacancy details
Data Engineering
Data Engineer
Senior
Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States
Remote
APPLY NOW
REFER A FRIEND
Intellias is looking for a
Senior Data Engineer
to join a digital healthcare initiative focused on building a large-scale health data platform that helps millions of people discover healthcare providers, connect with their health information, and make better-informed care decisions.
This is a
hands-on, high-ownership engineering role
for someone experienced in building and operating data-intensive systems at scale. You will own critical data ingestion and processing capabilities, improve data quality and reliability, and develop AI-powered solutions for complex real-world healthcare data challenges.
We are looking for an engineer who combines strong
Python and data engineering expertise with cloud-native development, production ownership, and an AI-first engineering mindset
.
What project we have for you
The project is building a
FHIR-based healthcare data platform
that aggregates provider information from national registries, EHR systems, healthcare networks, and partner data feeds.
The platform ingests fragmented and often inconsistent healthcare data, transforms it into standardized FHIR resources, resolves duplicate identities and relationships, and makes trusted provider information available through high-scale search and data services.
The engineering challenge goes well beyond traditional ETL. Provider data comes from hundreds of heterogeneous sources and contains duplicates, outdated records, conflicting identities, incomplete relationships, and inconsistent schemas. The platform must determine how these sources relate and continuously improve the accuracy and confidence of the resulting data.
The technology landscape includes
Python, Apache Spark, Prefect, AWS, Kubernetes, MongoDB, OpenSearch, and FHIR
, with AI increasingly used both as part of the engineering lifecycle and within data-processing solutions.
What you will do
Design, build, and operate
scalable data ingestion pipelines
that onboard healthcare provider data from EHR systems, national registries, healthcare networks, and partner feeds.
Transform heterogeneous source data into standardized, trusted data models, including
FHIR-native resources
.
Own
data quality end-to-end
, including validation rules, quality thresholds, confidence scoring, automated monitoring, and alerting.
Design and implement solutions for
entity resolution, deduplication, relationship inference, classification, enrichment, and data quality scoring
.
Build and evolve distributed data processing pipelines using
Python, Spark, and modern orchestration technologies
.
Improve pipeline reliability, scalability, observability, and performance so that new data sources can be onboarded efficiently and safely.
Establish and evolve
data governance standards
, including schemas, staging models, validation processes, and data refinement workflows.
Design and operate data storage and search solutions supporting large-scale healthcare datasets.
Build
AI-powered data tooling
that improves the accuracy, automation, and intelligence of data processing workflows.
Use modern AI development tools as an integral part of the engineering workflow to accelerate implementation, testing, debugging, documentation, and data analysis.
Own production operations for the solutions you build, including monitoring, troubleshooting, incident response, and root-cause analysis.
Partner with Analytics and Data Science teams to develop data quality dashboards, metrics, and reporting.
Collaborate with Product and Business stakeholders to prioritize data sources and improvements based on customer and business impact.
Contribute to technical design reviews and help establish scalable engineering patterns across the broader data platform.
What you need for this
5+ years of professional experience
building and operating data-intensive backend or data engineering systems at scale.
Strong hands-on expertise in
Python
, including development of production-grade data processing and backend services.
Strong experience designing and building
scalable data ingestion and ETL/ELT pipelines
for large and heterogeneous datasets.
Sound data engineering instincts, including
data modeling, storage design, schema evolution, query optimization, caching strategies, and selecting appropriate batch or streaming processing patterns.
Hands-on experience with
Apache Spark or Databricks
for distributed data processing.
Experience with workflow orchestration technologies such as
Prefect, Apache Airflow
, or equivalent.
Strong understanding of
data modeling, schema design, validation strategies, data transformation, and data quality management
.
Experience designing solutions for
data deduplication, entity resolution, data enrichment, classification, or record linkage
.
Experience with both relational and document-oriented databases; practical knowledge of technologies such as
MongoDB
or comparable NoSQL platforms.
Experience with search technologies such as
OpenSearch, Elasticsearch
, or comparable solutions.
Strong AWS experience, including services such as
S3, ECS/EKS, Lambda
, or equivalent cloud-native technologies.
Hands-on experience with
Docker, Kubernetes, CI/CD
, and operating cloud-native workloads in production.
Strong understanding of production data pipeline concerns including
reliability, fault tolerance, observability, monitoring, alerting, and incident response
.
Experience establishing and maintaining
data governance standards
, schemas, validation rules, and repeatable data refinement processes.
Practical experience using
AI-assisted software engineering tools
as part of the regular development lifecycle.
Strong ownership mindset and ability to independently identify data or engineering problems, propose solutions, implement them, and operate them in production.
Strong communication skills and ability to collaborate directly with engineering, analytics, product, data science, and business stakeholders.
Professional English sufficient for direct collaboration with U.S.-based teams.
Experience working with
healthcare data, HealthTech platforms, or healthcare interoperability
.
Knowledge of
FHIR
, particularly resources such as Practitioner, Organization, PractitionerRole, Endpoint, and Location.
Experience integrating data from
EHR/EMR systems, healthcare registries, provider networks
, or similar complex data ecosystems.
Experience designing data platforms handling
PHI/PII or other regulated and sensitive information
.
Familiarity with HIPAA-related data protection and security considerations.
Nice to Have
Experience building
AI-powered data processing solutions
, particularly entity resolution, relationship inference, classification, enrichment, anomaly detection, or data quality scoring.
Practical experience integrating
LLMs into production data workflows
, including evaluation, reliability, latency, cost, and data-protection considerations.
Experience with AI engineering tools such as
Claude Code, GitHub Copilot, Cursor
, or similar platforms.
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.
Skills
Python
Spark
2GIS CDP — это внутренняя Customer Data Platform, лежащая в основе стратегии развития всего 2ГИС на ближайшие годы. CDP объединяет данные из десятков источников, строит единые пользовательские профили, рассчитывает метрики, интересы и модели поведения, помогает запускать real-time персонализацию прямо в продукте и управлять персонализированной рекламой и коммуникацией. Это стартап внутри большой компании — со свободой в архитектуре и технологиях, с задачами уровня highload и с реальным влиянием на бизнес-результаты.
О команде
Мы объединяем инженеров, аналитиков и ML-специалистов, которые строят систему, меняющую подход к данным в 2ГИС. Работаем с большими объемами событий, продумываем архитектуру под масштаб и надежность, ценим простые и элегантные решения. Каждый в команде влияет на архитектуру, подходы и направление развития CDP. Наш стек Backend: Go, gRPC Frontend: TypeScript, React Autotests: Python, Playwright, Allure Infrastructure: Kubernetes, Kafka, ClickHouse, Spilo/PostreSQL, Spark, Airflow. Стек только формируется — ты сможешь повлиять на его развитие и архитектуру.
Тебе предстоит
Повысить эффективность пайплайнов для расчета с daily-признаков на основе batch процессинга.
Создать эффективный пайплайн для расчёта realtime-признаков на основе Kafka‑топиков.
Проектировать и разрабатывать сервисы, обрабатывающие миллиарды событий пользователей.
Решать сложные инженерные задачи: расчеты метрик, построение витрин.
Работать с потоками данных и интеграциями между CDP и другими системами 2ГИС.
Влиять на архитектурные решения и качество кода.
Работать в распределенной команде, взаимодействуя с аналитиками, продактами и инженерами других направлений.
Ждем от тебя
Опыт работы с highload-системами.
Опыт проектирования архитектуры данных или платформенного кода.
Опыт работы с Kafka, ClickHouse или другими системами потоковой и аналитической обработки данных.
Хорошо понимает, как работает Spark и умеет его готовить.
Хорошо владеешь одним из языков программирования (например, Python или Scala).
Самостоятельность и проактивность — ты не ждешь постановок, а предлагаешь решения.
Желание разбираться в бизнес-логике и создавать продукт, а не просто писать код.
Будет плюсом:
Опыт работы с Airflow.
Опыт анализа данных с использованием SQL.
Знание инструментов мониторинга и автоматического контроля качества данных (Data Quality, Data Contracts).
Опыт построения Data Lineage и работы с Data Catalog.
Понимание подходов к персонализации, сегментации или real-time аналитике.
Понимание, как работает S3 хранилище.
Почему это круто
Масштаб: миллионы пользователей, миллиарды событий, сотни интеграций.
Рост: CDP — стратегическое направление, растем быстро и даем расти команде.
Свобода: минимум бюрократии, максимум ответственности.
Видимый результат: все, что ты делаешь, влияет на продукт, коммуникации и рекламу 2ГИС.
Хочешь строить внутренний «мозг» 2ГИС? Присоединяйся к команде CDP.
Brazil; São Paulo, São Paulo, Brazil
seniorAmsterdam; Netherlands; Please note that Hasbro is not willing to sponsor relocation for this position
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.