Задачи:
— Руководство командой инженеров данных
— Координация с аналитикой и продуктовыми командами
— Участие в проектировании архитектуры новых проектов
— Поддержка и расширение существующих систем
— Оптимизация и автоматизация рабочих процессов
— Проведение командных ритуалов (планирование, стендапы, Planning Poker)
Требования:
— Опыт руководства командой 3–5 человек либо работы в роли техлида с ответственностью за сроки
— Опыт кросс‑функциональных проектов (инженерия, аналитика, продукт)
— Навыки оценки сроков и передачи знаний, документация и конструктивная коммуникация
— Технические навыки: Apache Airflow, Apache Spark, ClickHouse, dbt, работа с объектным хранилищем/data lake (S3, Apache Iceberg — плюс), Kafka, Python и SQL на уровне продакшена
— Понимание продуктовой аналитики и атрибуции (AppsFlyer, MyTracker, трекеры рекламных сетей — плюс)
— Будет плюсом опыт в ad‑tech, мобильной/маркетинговой аналитике, миграциях хранилищ, использовании AI‑инструментов в data‑инжиниринге.
Location: European Union; Ukraine
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We are looking for a Data Analytics Engineer to build, optimize, and maintain the analytical data layer that powers decision-making across the organization. You will transform business requirements into reliable, well-modeled datasets using dbt, SQL, and cloud data warehouses (BigQuery, ClickHouse). This role combines data modeling, documentation, data quality design, and close collaboration with analysts, engineers, and product teams to ensure consistent, trustworthy reporting.
You will serve as the bridge between raw data ingestion and analytics — shaping how data is structured, validated, and delivered.
Responsibilities
- Design, build, and maintain dbt models (staging, core, marts) based on business needs
- Develop scalable SQL transformations and ensure efficient, cost-effective query performance
- Implement data quality tests (dbt tests, custom checks, anomaly detection) and maintain high data reliability.
- Create and maintain documentation for datasets, data lineage, business logic, and transformation rules
- Collaborate with Data Engineers on improving raw data structures, ingestion patterns, and source readiness
- Partner with Data Analysts, Product Managers, and Marketing teams to translate business requirements into clean, reusable data models
- Monitor data pipelines and marts, resolve issues, and prevent inconsistencies in reporting
- Support governance initiatives: naming conventions, taxonomy, schemas, metric definitions, and standardization
- Contribute to continuous improvement of our data modeling frameworks, performance tuning, and technical decision-making
Requirements
- Strong SQL experience with a deep understanding of analytical modeling concepts
- Hands-on experience with dbt (models, tests, docs, macros)
- Experience working with cloud data warehouses such as BigQuery or ClickHouse
- Understanding of data modeling patterns
- Familiarity with data engineering concepts (ELT/ETL, orchestration, version control, CI/CD)
- Experience with data quality frameworks or implementing validation logic
- Ability to translate complex business processes into clean analytical datasets.
- Strong documentation skills and attention to detail
- Experience collaborating with cross-functional teams and supporting analysts with reliable data
- Knowledge of Python is a plus (but not required)
Nice To Haves
- Experience with orchestration tools (Airflow, Dagster)
- Experience working with marketing, product, or billing datasets
- Exposure to metric layers, semantic layer design, or BI governance
- Basic understanding of observability tooling (Grafana, Prometheus, ... )
- Experience optimizing BigQuery costs or ClickHouse performance
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (90 minutes)
- Final Interview (60 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Задачи:
— построение ETL-процессов: разработка и настройка конвейеров по сбору и трансформации данных из различных источников;
— работа с современным стеком трансформации: освоение и применение DBT для превращения «сырых» данных в чистые аналитические витрины;
— оркестрация данных: настройка и поддержка рабочих процессов (pipelines) в Dagster для своевременного и безошибочного обновления данных в отчетах;
— управление хранилищами: работа с Postgres и высокопроизводительной колончатой базой данных Clickhouse для обеспечения скорости работы отчетов;
— визуализация смыслов: разработка интерактивных BI-отчетов в Apache Superset для поддержки принятия бизнес-решений;
— оптимизация выборок: анализ и ускорение тяжелых запросов для повышения производительности системы отчетности.
Требования:
— уверенное владение SQL (сложные выборки, агрегатные функции, оптимизация запросов);
— понимание устройства реляционных баз данных, в частности PostgreSQL, и принципов построения аналитических хранилищ;
— базовые знания Python, умение писать скрипты для обработки данных и автоматизации простых задач;
— аналитический склад ума, способность работать с большими массивами данных, выявлять закономерности и структурировать информацию.
Желательный опыт:
— создание дашбордов в BI-инструментах (Apache Superset, Tableau, Power BI или аналогичных);
— понимание концепций ETL/ELT;
— понимание архитектуры данных, разницы между OLTP и OLAP системами (например, использование Clickhouse для аналитики);
— интерес к современным инструментам DBT и оркестраторам данных (Airflow, Dagster).
Условия:
— срочный трудовой договор на 3 месяца;
— график 5/2, не более 30 часов в неделю;
— возможность работы удаленно, в офисе или в гибридном формате;
— стажировка открыта для студентов любых ВУЗов и форм обучения, включая заочную и магистратуру.
Location: IRL - Dublin (dbt)
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a Sales Development Representative (SDR) to join our Dublin office and help accelerate pipeline generation. This role is ideal for someone with 9+ months of experience in technology sales who thrives in outbound prospecting, account research, and consultative discovery conversations. Experience selling into data, analytics, cloud, or infrastructure teams is a strong plus.As an BDR you’ll identify and engage target accounts, multi-thread into strategic organizations, and generate qualified pipeline through personalized outreach across phone, email, LinkedIn, and video. You’ll work directly with modern data leaders and technical buyers at fast-growing and enterprise organizations evaluating cloud data infrastructure, analytics modernization, AI initiatives, and data integration strategies.
This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including 3 days in the office each week to connect and build as a team.
Technologies You’ll Use
Salesforce, Outreach, LinkedIn Sales Navigator, ZoomInfo, Lusha, Nooks, ChatGPT and AI prospecting tools, Gong, Google Workspace, Slack, Vidyard / Loom
What You’ll Do
Generate qualified pipeline through inbound and outbound prospecting across target accounts
Research accounts, industries, and personas to craft personalized outreach
Partner closely with Sales Directors to build account strategies and prioritize opportunities
Execute multi-channel outbound campaigns using phone, email, LinkedIn, and video
Conduct discovery conversations to uncover business challenges, technical pain points, and initiatives
Engage data, analytics, engineering, IT, RevOps, and executive personas
Maintain accurate activity, contact, and opportunity data within Salesforce
Collaborate cross-functionally with Marketing, Partnerships, and Sales leadership
Leverage AI tools and sales technologies to improve prospecting efficiency and messaging quality
Consistently achieve and exceed activity, meeting generation, and pipeline targets
Skills We’re Looking For
9+ months of experience in SaaS, cloud, infrastructure, or technology sales development
Strong written and verbal communication skills with the ability to engage technical and business stakeholders
Ability to learn and articulate technical concepts related to data, analytics, cloud, and AI infrastructure
Experience with outbound prospecting and multi-threaded account engagement
Strong organizational skills and ability to manage multiple accounts and priorities simultaneously
Comfortable using AI tools such as ChatGPT or sales engagement platforms to improve research, messaging, and productivity
Coachable, curious, resilient, and motivated by a high-performance sales environment
German Speaker (required)
Bonus Skills
Experience selling into data, analytics, engineering, or IT organizations
Familiarity with modern data stack technologies such as Snowflake, Databricks, dbt, or cloud data warehouses
Experience using Outreach, Sales Navigator, ZoomInfo, or Gong
Previous experience working in a high-growth SaaS environment
Demonstrated success exceeding outbound pipeline generation targets
#LI-LA1
#LI-HYBRID
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
€45.500
—
€55.300 EUR
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Workplace: remote
Requirements
5+ years of hands-on data engineering experience, including delivery and support of production data solutions
Practical experience with both Snowflake and Databricks
Strong SQL and Python skills, including hands-on experience with PySpark
Experience using dbt to develop, test, and maintain data transformations
Experience designing and deploying cloud data solutions, preferably on Azure
Strong data modelling skills, including dimensional modelling and an understanding of Data Vault 2.0 concepts
Experience with Git, code reviews, automated testing, and CI/CD
Ability to investigate data quality issues and troubleshoot pipeline failures and performance problems
Experience working directly with clients or multiple stakeholder groups
Ability to work effectively in agile and startup environments, adapting to changing priorities and evolving requirements
Strong critical thinking and problem-solving skills, with the ability to challenge assumptions, evaluate alternatives, and make evidence-based decisions
Ability to work independently, clarify ambiguous requirements, and take ownership of delivery
Nice to have
Experience with change data capture, streaming, or event-driven processing
Experience with infrastructure as code, such as Terraform
Experience with AWS in addition to Azure
Snowflake or Databricks certifications
Experience mentoring engineers or leading technical delivery
Familiarity with BI tools such as Power BI, Tableau, or Looker
Responsibilities
Work with client stakeholders to understand business needs, assess existing systems, and define technical requirements
Contribute to solution design, explaining technical options, trade-offs, and implementation effort
Design, build, and maintain production ETL/ELT pipelines integrating databases, APIs, and file-based sources
Develop data models and transformation workflows that support analytics and business processes
Implement incremental loading, data validation, error handling, monitoring, and recovery mechanisms
Improve pipeline performance and manage compute and storage costs
Apply data security and governance practices, including access control and protection of sensitive data
Use version control, code reviews, automated testing, and CI/CD to deliver maintainable solutions
Create technical documentation and support knowledge transfer to client teams
Support project estimation and planning, raise delivery risks, and mentor other engineers
We offer
Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Corporate medical insurance covering services of private and public medical centers
English courses online
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation
5 days of paid sick leave per year with no obligation to submit a sick-leave certificate
Any questions?
Anna
hh@itransition.com
Workplace: hybrid
Обязанности
Сбор требований с бизнес-заказчиков и анализ источников данных
Разработка, реализация и поддержка типовых потоковых интеграционных решений на стеке технологий, принятых в команде: Trino, Iceberg, S3, Spark, Apache Airflow, Kafka, Cosmos, Flink
Оперативное реагирование на информацию о проблемах в зоне ответственности, выполнение типовых задач в установленный срок
Поддержание в актуальном состоянии документации типовых интеграционных решений платформы больших данных. Предоставление отчетности о своей деятельности руководителю.
Условия работы
Официальное оформление с белой ЗП
Полугодовые премии по результатам работы
Возможность работать удалённо или в гибридном формате
Удобный офис рядом с м. «Добрынинская» / удобный офис с бесплатной парковкой на м. «Волгоградский проспект» / МЦД «Калитники»
Гибкий график работы
Широкий пакет ДМС (включая выезд за рубеж и стоматологию), страхование жизни и здоровья
Возможность учиться и развиваться за счёт компании: внешние тренинги и семинары по профессиональным тематикам, участие в крупнейших конференциях страны, программы развития цифровых и управленческих навыков (Цифровая академия, Школа Тимлидов), онлайн и офлайн мастер-классы, корпоративный университет «X5 Полка», школа наставников и многое другое
Программы мотивации для спикеров и авторов: внутренняя школа Speak Up School, Write Up, ачивки и баллы за выступления, подготовка спикеров к крупнейшим конференциям страны, сообщество авторов на Хабре, возможность шерить опыт с комьюнити внутренних и внешних экспертов
Обмен опытом через cообщества: 12 технических комьюнити от java до devops
Яркая корпоративная жизнь с большим количеством мероприятий, конкурсов и возможностей для творческой реализации: регулярные внутренние митапы, демо-дни, открытые микрофоны, день IT-специалиста, программы волонтерства, корпоративное предпринимательство X5 Idea Challenge
Забота о благополучии сотрудников: 7 спортивных сообществ (бег, футбол, волейбол, баскетбол, хоккей, лыжи, триатлон), ежегодная Неделя здоровья
Скидки в экосистеме бизнесов Х5 («Пятёрочка», «Перекрёсток», «Много лосося», «Перекресток Впрок»)
Программа привилегий Prime-zone (скидки на товары и услуги и специальные предложения от компаний-партнёров)
Материальная помощь сотрудникам, попавшим в сложную жизненную ситуацию.
Профессиональные навыки
Общее представление о стеке технологий Lakehouse
Понимание различия работы между BigData/Lakehouse и с данными обычного размера
Знание SQL (индексы, функции, оптимизация, профилирование производительности)
Опыт работы с любой реляционной БД (Oracle, Postgres, MySQL, MsSQL, DB2 и т.п.)
Умение работать с Git (знание команд git pull/commit/push)
Опыт работы с DBT, Cosmos
Представление о работе с Trino
Понимание устройства Iceberg, форматов данных
Понимание работы с minio или любого другого хранилища на основе S3
Опыт использования системами ведения проектов и документации
Знания основ программирования (JAVA, Python).
Location: Москва
Workplace: Гибрид, 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.
Сейчас мы одновременно развиваем два направления: поддерживаем и совершенствуем существующее хранилище данных на Greenplum и строим новое хранилище на базе современного Data Lakehouse-подхода.
Обязанности
Проектировать и развивать Data Lakehouse платформу;
Разрабатывать ETL/ELT пайплайны на базе Spark, DBT и Trino;
Работать с объектным хранилищем S3 и организовывать эффективную работу с данными в Data Lake;
Строить наблюдаемость платформы: метрики, дашборды и алертинг на базе Prometheus, VictoriaMetrics и Grafana;
Управлять инфраструктурой и конфигурацией платформы через GitOps (ArgoCD, Helm);
Взаимодействовать с продуктовой командой, понимать потребности пользователей платформы и развивать DLH как внутренний продукт.
Требования
Имеете практический опыт построения Data Lakehouse платформ или крупных Data Platform решений;
Обладаете опытом проектирования DLH с нуля;
Имеете глубокое понимание архитектуры Spark: execution model, partitioning, memory management, shuffle, оптимизация запросов;
Хорошо понимаете принципы работы форматов данных и таблиц в Data Lake (Iceberg/Parquet и аналогичных технологий);
У вас есть опыт работы с Trino и понимание принципов распределенного выполнения запросов;
Обладаете опытом работы с Airflow и построения сложных data workflows, разработки кастомных операторов, сенсоров, хуков и плагинов.
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: France; Slovakia; Estonia; Latvia; Slovenia; Czechia
🧭 About RealAdvisor
RealAdvisor is one of the leading digital platforms in the European real estate ecosystem. Founded in Switzerland, we now support 7,000+ real estate agencies and attract 10+ million users per year across Europe.
We are scaling fast across multiple markets with a clear mission: help real estate professionals grow through data, transparency and smart technology. At RealAdvisor, we value ownership, autonomy and impact.
Role Overview
We are looking for a business‑oriented Data Scientist to join RealAdvisor. You will consolidate and analyze diverse data sources (product, marketing, transactional), build ML models and experiments to drive subscription growth, and translate insights into concrete product and marketing actions. This is a hands‑on, full‑stack role: you will query databases, run experiments, build models, and present clear data stories to stakeholders.
Requirements
Key responsibilities
Consolidate and aggregate data from product, marketing, CRM, and transactional systems into reliable datasets.
Perform product analytics to measure feature usage, user journeys, and retention drivers.
Design and run experiments (A/B tests, cohort analysis, population and variation control) to validate hypotheses and measure causal impact.
Build ML models for revenue optimization, churn prediction, segmentation, and subscription forecasting.
Analyze marketing performance to measure acquisition efficiency, LTV, and campaign ROI.
Translate analysis into action: propose product changes, growth experiments, and operational KPIs.
Report results using concise dashboards, reports, and data storytelling for non‑technical stakeholders.
Work cross‑functionally with product, marketing, engineering, and country managers to standardize metrics and training.
Maintain data quality: identify polluted data, propose remediation, and implement robust ETL checks.
Required skills and experience
3+ years in data science, analytics.
Python and SQL skills for data manipulation, modeling, and production prototyping.
Experience consolidating diverse data sources and building reliable analytical pipelines.
Experiment design and causal inference methods.
Practical ML experience (classification, regression, segmentation) and model evaluation.
Product analytics tools experience.
Ability to build dashboards and present insights clearly (Looker, Tableau, Power BI, or similar).
Business mindset: translates technical results into measurable business outcomes.
Proactive: takes initiative, owns end‑to‑end delivery, and can work with limited supervision.
Nice to have
Experience with subscription businesses and monetization models.
Familiarity with marketing attribution and LTV modeling.
Frontend or backend dev experience to implement tracking or small UI changes.
Knowledge of data engineering tools (Airflow, dbt, Spark).
Experience working across international markets and multilingual datasets.
Benefits
Why Join Us
Fully remote.
Full-time freelance role.
Competitive monthly rate.
Location: Canada
What the Role Is
We’re hiring a
Staff Software Engineer
who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting search and personalization problems in consumer e-commerce.
This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience.
If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on.
What You'll Own
A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes over the next year or two, sequence the bets that get there, and make the technical and product calls along the way. You’re still in the code and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team.
A few examples of initiatives you’d drive on the Search team:
Build search in-house.
Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below.
Define what a good result is.
Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect.
Unify search across everything we show.
One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do.
Decide how search and recommendations fit together.
Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models.
Make search conversational.
Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product.
Like every Staff Engineer here, you will:
Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers.
Build the platform or tooling other teams adopt by choice, and own it as it scales.
Set the standard for how search builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships.
Partner with product, design and data as a peer, shaping what's worth building from the start.
Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones
Who You Are
You meet the Staff bar at Babylist. You’ve shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You’ve already changed how a team builds with AI, and the new way stuck.
On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring:
Hands-on search experience:
building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow.
Experience evaluating search quality:
offline and online, including relevance judgments and A/B tests.
A focus on the user:
you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue.
Comfort building from zero:
you can define the problem, design the system and own it end to end.
You measure yourself by impact:
a customer outcome, or a system a dozen teams come to depend on.
Compensation
We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is $299,300 to $372,600 CAD, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $359,160 to $447,120 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things to Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: Renton, Washington, 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.
We're hiring a
Sr. Manager, Global Data Analytics
to lead our analytics team and encourage decisions based on data across our commercial sales, operations, and WPN divisions. You'll supervise a team of analysts, lead the analytics roadmap, and serve as the liaison between business partners and the data organization.
This is a player-coach role: you’ll lead and develop a global analytics team while staying hands-on in the work. You’ll mentor talent and set the roadmap and processes. You will also dig into the data using SQL and Python scripting to turn complex business problems into clear, actionable answers. You’ll hold a high bar for the integrity of data and deliver analytics initiatives that are accurate, on time, and trusted by senior leaders.
What You’ll Do
You’ll build and lead a high-performing, globally distributed analytics team that moves fast and asks better questions. In this role, you will:
Lead and develop
a team of business and data analysts across regions, with coaching, career growth, and clear direction.
Own the global analytics roadmap
for commercial teams, prioritizing work, managing capacity, and delivering against business goals.
Partner with Data Engineering, Platform Engineering, Data Science, and Economics stakeholders to set shared data priorities, standards, and practices that build a stronger data culture across Wizards of the Coast.
Build the operating model.
Create scalable processes, standards, and documentation that let the team move quickly without sacrificing quality.
Partner with senior stakeholders
in EMEA, APAC, and North America to turn business needs into analytical frameworks, key metrics, and reporting strategy.
Oversee delivery
of dashboards, models, and data solutions using Snowflake, dbt, Python, and BI tools (Tableau, Power BI, or Looker).
Drive data quality and governance
in partnership with data engineering and BI.
Embed analytics in decisions
by collaborating across product, finance, supply chain, engineering, and marketing.
Present insights and recommendations
to senior leaders to shape planning, forecasting, and go-to-market execution.
Bring innovation
by testing new tools, methods, automation, and AI strategy & governance for commercial to keep the team ahead.
What You’ll Bring
10+ years in data or business analytics, with 4+ years managing people or leading teams.
Hands-on experience supporting business in
both EMEA and APAC
, with a real understanding of regional market, cultural, and data nuances.
Exposure to
commercial sales, logistics, and retail analytics
.
Strong SQL and Python skills, and familiarity with the modern data stack (Snowflake, dbt, ETL workflows).
Experience with BI platforms such as Tableau, Power BI, or Looker.
Proven record of hiring, developing, and managing analytical talent, ideally across time zones.
Track record of building roadmaps and processes from the ground up and delivering in a fast-paced environment.
Ability to influence senior stakeholders and align cross-functional teams.
Strong grasp of data governance and quality.
Excellent communication skills, with the ability to make complex data clear to non-technical audiences.
Bachelor’s or Master’s in Analytics, Data Science, Economics, or a related field (or equivalent experience).
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
$133,200
—
$213,100 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: Paris, France
Workplace: OnSite
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐ DATA ASSOCIATE ⭐
The position is a six-month end-of-studies internship in Paris, with a flexible start date.
Data Associates join a product or business crew and work alongside a senior member of the Data team, taking on a real share of their projects. It is the same work as the rest of the team, building insights and data-powered products that help our members stay healthy, at a pace and scope designed for someone starting out.
Our team is full stack: each member sits in a crew next to engineers, product builders and designers and leads projects from A to Z, covering analytics, engineering and science. We mainly use SQL, Python, dbt, Airflow and Metabase, and Claude Code and AI agents are part of our daily workflow. Want to know more? Read our vision for the Data team https://medium.com/alan/vision-for-a-data-team-2eae845b8052 (old one, but still relevant) and how our Data team is re-inventing its craft with AI https://medium.com/alan/re-inventing-our-craft-how-alans-data-team-is-shaping-its-future-with-ai-e8d73d095ece.
This is our first generation of Data Associates, and we built the program with one goal: you join us full-time at the end of it. That decision is made at your 5-month review.
⭐ DETAILED MISSIONS ⭐
What you work on depends on the crew you join, something that is decided once you start your internship, but your six months will mix:
- Answering real business or product questions: framing the problem, digging into the data and turning what you find into a recommendation your crew acts on.
- Building tools people use: a dbt model, a dashboard a team uses every week, a tool powered by AI. You would ship them end to end, with your senior counterpart supporting you on key steps
- Growing with the Data community: joining our main rituals (retros, insights sharing sessions, on-call shifts), and later helping us recruit the next generation of Data Associates
You won’t be alone: from day one, you will benefit from a senior Alaner from the Data team to work with at the office and a coach from the Data team as well.
⭐ IS IT YOU WE'RE LOOKING FOR? ⭐
Please note that for this internship, you need to:
- Be based in Paris, France
- Work from our Valmy office at least 3 days a week
- Be in the final year of your studies (engineering or business, with a strong quantitative track), with an internship agreement from your school
You would be a great fit if most of this sounds like you:
- You want a career in Data, across the whole spectrum. If what you want above everything else is to build ML models, a research internship is probably a better fit for you
- You have used SQL and Python, at school, in an internship or on a side project. We teach you the rest
- Analytical sense and rigor: you ask the right question before you reach for the data, and you can tell a real signal from noise
- Business & product sense: you care about what the numbers change for members and for the company
- Effective communication: you explain a result simply, in writing and out loud
- High agency and growth mindset: facing an unfamiliar problem, your first instinct is to find a way through, and you ask for feedback to grow
- AI fluency: you already build with AI tools, and you are curious about where they fall short
- You are fluent in English (no need to speak French!)
But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus.
For this internship, we are hiring at the A2 level of our salary grid https://alan.com/en/careers/a/salary-equity.
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: people joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work.
#LI-DNP
Location: Bucharest
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
Your mission
The Guardrails service empowers organizations to confidently deploy autonomous agents by embedding protection mechanisms that govern agent behavior, data access, and decision boundaries. Through policy enforcement, monitoring, and adaptive controls, we help safeguard users and systems while maintaining the agility and intelligence that make agentic automation transformative.
Our mission extends beyond UiPath Agents — we're evolving Guardrails into a scalable, platform-wide capability that brings consistent governance and protection across the broader UiPath ecosystem. By combining innovation, security, and user trust, we enable customers to explore the full potential of automation with confidence and control
WHAT YOU'LL DO AT UIPATH
- Plan, design, develop, and test software systems or applications for enhancements and new features, including cloud-based tools.
- Collaborate with cross-functional teams across UiPath to design and engineer product areas and services.
- Ensure technical deliverables meet expectations for quality, security, scalability, modifiability, extensibility, and testability.
- Contribute to the establishment of effective and agile engineering practices.
- Identify performance bottlenecks and bugs; implement solutions to address them.
- Plan feature development, design system components, and contribute to the engineering roadmap.
- Maintain code quality, organization, and automation.
WHAT YOU'LL BRING TO THE TEAM
- 5+ years of experience in a software engineering role using high-level languages (C#, C++, Java, Python, Rust, etc.)
- Strong grasp of object-oriented programming and architectural design patterns.
- Knowledge of multithreading, synchronization, and asynchronous programming.
- Solid understanding of data structures and algorithms.
- Ability to write well-tested, high-quality code.
- Familiarity with the latest versions of .NET and C# features.
- Experience with other languages and technologies: C++, NodeJS, JavaScript, Angular, XAML.
- Cloud services experience with one or more of: Azure (preferred), AWS, GCP.
- Experience with data processing platforms and ETL/ELT pipelines (e.g. Snowflake, Azure Data Factory, Databricks, Spark, dbt).
- Familiarity with modern data warehousing concepts, dimensional modeling, and analytics engineering best practices.
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
PayPay is looking for Data Analysts to deliver actionable insights, develop product KPIs, build data infrastructure, and advance data-driven decision-making.
ГибридГеография найма не уточнена
УдалённоEuropean Union; Ukraine; Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET
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