T

Senior Data Engineer (Python, Java)

The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partner…

tripadvisor · На сервисе с: 23.07.26 10:34

Зарплата не указанаВеликобританияЛондонУдалёнка

About Tripadvisor

The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.

Tripadvisor, the world’s largest travel site, operates at scale with over 500 million reviews, opinions, photos, and videos reaching over 390 million unique visitors each month.  We are a data driven company that leverages our data to empower our decisions.  Tripadvisor is extremely excited to play a pivotal role in supporting our travellers. With travel plans dashed in early 2020, many people have been dreaming about their next big holiday for more than a year, so it’s no surprise that travellers are extra conscious of getting it just right when they do travel. Helping to play an important role in enabling travellers is an amazing opportunity over the next year and beyond.

 

Our data engineering team is lookig to hire a Senior Data Engineer in the UK. The new Senior Data Engineer will be focused on delivering Tripadvisor’s first-in-class data products that serve all data users across the organization. As a member of the Data Platform Enterprise Services Team, you will collaborate with engineering and business stakeholders to build, optimize, maintain, and secure the full data vertical including tracking instrumentation, information architecture, ETL pipelines, and tooling that provide key analytics insights for business-critical decisions at the highest levels of Product, Finance, Sales, CRM, Marketing, Data Science, and more. All in a dynamic environment of continuously modernizing tech stack including highly scalable architecture, cloud-based infrastructure, and real-time responsiveness.

Tripadvisor provides a unique, global work environment that captures the speed, innovation and excitement of a startup, at a thriving, growing and well-established industry brand. We take pride in our data engineering and are looking for a talented and highly-motivated engineer with a passion for solving interesting problems to add to our high-performing team. 

 

What You'll Do

  • Providing the organization’s data consumers high quality data sets by data curation, consolidation, and manipulation from  a wide variety of large scale (terabyte and growing) sources. 
  • Building high quality data pipelines and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery.
  • Developing and improving our enterprise data marts by creating efficient and scalable data models to be used across the organization.
  • Partnering with our analytics, data science, crm, and machine learning teams for data solutions.
  • Responsible for an enterprise data mart integrity, validation, and documentation.
  • Responsible for the data pipelines’ SLA and dependency management.
  • Writing technical documentation for data solutions, and presenting at design reviews
  • Solving data pipeline failure events and implementing sound anomaly detection 
  • Working with various teams from analytics to product owners and front end developers on tracking solutions and solving technical challenges
  • Leading medium to large size projects in terms of writing technical specs and project planning
  • Mentoring junior members of the team.

 

Skills & Experience

  • BS or MS degree in Computer Science or a related technical discipline
  • 6+ years of data engineering or general software development experience 
  • Experience working with large datasets (terabyte scale and growing) and familiarity with various technologies and tooling associated with databases and big data:
  • Big Data (i.e. Hadoop, Hive, BigQuery, Snowflake)
  • Relational DB (MS SQL, PostgreSQL/MySQL)
  • Comprehensive data design and data modeling experience 
  • Solid experience developing complex ETL processes from concept to implementation; these should include defining SLA, performance measurements and monitoring.
  • Advanced query language and data exploration skills, proven record of writing complex SQL queries across large datasets. 
  • Systems performance and optimization experience, with an eye for how systems architecture and design impacts performance and scalability
  • Experience in functional programming in Python or in an equivalent language
  • Strong software engineering principles
  • Self-paced, organized, and detail-oriented person with a strong sense of ownership
  • Strong communication skills to effectively communicate with both business and technical teams. 
  • Ability to work in a fast-paced and dynamic environment
  • Proven record of technical leadership on planning and driving medium to large size projects and handling challenging deadlines.
  • Strong interpersonal skills, intense curiosity, and an enthusiasm for solving difficult problems.
  • Ability to break down complex problems into simple solutions.
  • Ability to work with end users to solve technical challenges
  • Comfortable owning the full data vertical and work autonomously
  • Ability to mentor and support more junior members of the Team

Nice to have

  • Exposure to and/or interest in machine learning and data science specifically to help solve day-to-day problems and reach objectives in an innovative way 
  • Experience working with task orchestration tools, Airflow or similar systems
  • Comfortable working in a Linux CLI environment
  • Experience in designing high-scale, fault-tolerant and performant distributed applications
  • Experience in developing and managing real-time data pipelines
  • Experience in programming languages such as Java or equivalent
  • Experience with data governance.

 

What We Offer

  • Competitive compensation packages, including base salary, annual bonus, and more.
  • “Work your way” with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you’d like in select locations. 
  • Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work.
  • Donation matching. Give back? Give more! We match qualifying charitable donations annually.
  • Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs.
  • Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.
  • Travel perks. We believe that travel is employee development, so we provide discounts and more.
  • Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges.
  • Health benefits. We offer great coverage and competitive premiums.
  • Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates.

 

Our Cultural Pillars:

  • Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. 
  • Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. 
  • We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements.

 

Discover more in our Tech Blog, for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group.  

Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. 

 

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.

If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!

 

#Tripadvisor

#Remote

#LI-AMCVAY

 

Похожие вакансии Data Engineer

hh.ru
рсхб-интех

Middle/Middle+ разработчик ETL/ELT (Антифрод)

рсхб-интехНа сервисе с: 24.09.26 16:57
Зарплата не указанаРоссияМоскваГибрид

Проект реализация DWH и BI в области противодействия мошенническим операциям.

Цель проекта: обеспечение целевых подразделений антифрода инструментами аналитики и подготовки принятия решений для задач предотвращения мошенничества.

ЧТО ВАС ЖДЕТ:

  • Высокая автономность: вы будете исследовать и развивать сквозной процесс от множественных источников данных до форм представлений непосредственным пользователям.
  • Разнообразие данных: для задач домена используются данные практически всех направлений внутри банка и много внешних специфичных данных.
  • Передовой технологический стек и нетривиальные задачи: Графовая аналитика и Graf RAG; Feature Store с возможностью его переиспользования для in-line задач, интеграции результатов AI в бизнес аналитику и так далее.
  • Влияние и бизнес-импакт: у нас высокий спрос на качественные данные как в аналитических задачах, так и в области машинного обучения.

СТЕК:

  • Greenplum (GPDB)
  • Data Vault 2.0
  • Data Warehouse
  • Data Architecture
  • PowerDesigner
  • SQL
  • Data Modeling
  • Banking Data Model
  • General Ledger
  • Data Governance
  • MPP Database
  • ETL Architecture

ЧЕМ ПРЕДСТОИТ ЗАНИМАТЬСЯ:

  • Принимать участие в проработке архитектуры ETL и интеграций аналитического хранилища данных (DWH);
  • Проектировать и обеспечивать реализацию потоков ETL в соответствии с выбранной методологией;
  • Управлять физической моделью данных корпоративного хранилища;
  • Формировать стандарты в области данных и контролировать их соблюдение, обеспечивать историзацию и правила качества данных;
  • Взаимодействовать с владельцами данных, бизнес и системными аналитиками;
  • Оптимизировать архитектуру хранилища и обеспечивать ее масштабируемость;
  • Готовить и согласовывать обязательную документацию.

НАШИ ОЖИДАНИЯ ОТ КАНДИДАТА:

  • Опыт работы главным/ведущим инженером ETL/ELT от 3 лет;
  • Глубокое понимание архитектуры корпоративных хранилищ данных;
  • Практический опыт проектирования хранилищ с использованием Greenplum (GPDB), Postgres, Hadoop;
  • Понимание архитектуры Greenplum: распределение, партиционирование, планы выполнения, оптимизация хранения и обработки больших объемов данных;
  • Результативный опыт анализа проектных решений, моделей, ETL/ELT-процессов, BI-витрин и технической документации;
  • Практический опыт работы с отечественными BI решениями;
  • Отличное знание SQL и принципов оптимизации запросов в MPP-системах;
  • Экспертиза и применение архитектурных паттернов загрузки, инкрементальности, CDC, дедупликации, историчности, отслеживаемости и разграничения доступа;
  • Опыт в проектировании и применение Spark, Impala, Trino, Airflow, Java/Python в промышленном ландшафте данных;
  • Понимание принципов CI/CD, работа с системами контроля версий;
  • Уверенное владение инструментами проектирования:
    - разработка физических моделей;
    - управление репозиторием моделей;
    - поддержка корпоративных стандартов моделирования.

БУДЕТ ПЛЮСОМ:

  • Опыт работы с данными в антифрод-подразделении банка или фин. организации;
  • Опыт проектирования CDM/LDM/PDM в крупных банках;
  • Опыт построения Data Lake / Lakehouse совместно с DWH;
  • Знание подходов Data Governance и Data Quality;
  • Понимание принципов MDM;
  • Опыт работы с StarRocks;
  • Опыт работы с PXF;
  • Знание Agile-подходов к разработке;
  • Экспертиза в банковской предметной области. Вы должны хорошо ориентироваться в банковских данных и понимать структуру основных предметных областей.

ЧТО МЫ ПРЕДЛАГАЕМ:

  • Обучение за счет компании (посещение конференций, курсов, помощь в написании статей на Хабр и т.д.);
  • Вертикальное и горизонтальное развитие: регулярные тренинги, вебинары, митапы;
  • Забота о вашем здоровье: ДМС с первого месяца работы, куда входит стоматология;
  • Прозрачный доход: оклад (по итогам интервью) + ежеквартальные премии по результатам KPI;
  • Гибридный формат работы (2 дня офис, 3 дня удаленно) в Сколково;
  • Дополнительные бонусы от Россельхозбанка для сотрудников группы компаний (Скидки на спортзалы, рестораны, маркетплейсы и т.д.).
Соц.сети
D

Senior Data Engineer (Fintech Data)

delivery_heroНа сервисе с: 24.09.26 18:12
Зарплата не указанаГерманияBerlinГибрид

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We push hard, learn quickly and stay human along the way. It’s this wonderful mix of high performance and real community that makes Delivery Hero a place where ambition and belonging grow side by side. If you’re curious, collaborative and ready to dive deep into meaningful work, you’ll fit right in.

Job Description

We are on the lookout for a Senior Data Engineer (Fintech) to help build the next-generation data foundation for fraud prevention.

Be part of building the financial backbone of Delivery Hero. You’ll develop products that empower millions of customers and merchants, from seamless payments to innovative financial solutions like wallets and credit. Your work will support our path to profitability by creating financial flexibility for users and enabling smooth transactions across our markets.

Our Flink-based streaming platform already powers real-time fraud signals. In this role, you will build and enhance historization capabilities, batch pipelines, data quality framework, and observability tooling to make fraud data reliable, traceable, and easy to use for rule evaluation, model training, inference, and backtesting.

You will work closely with Data Science and Engineering teams and own the full lifecycle of these data solutions, from design and development to operation and continuous improvement.

  • Build accurate, point-in-time-correct datasets for model training, backtesting, and analysis.
  • Design and build scalable batch pipelines that complement our existing Flink-based streaming platform.
  • Develop robust controls for data completeness, freshness, anomaly detection, reconciliation, and business-logic accuracy.
  • Build observability capabilities that surface pipeline failures, data drift, and quality issues before they affect downstream models or fraud rules.
  • Partner with Data Scientists and Fraud Ops to translate fraud-prevention use cases into scalable, resilient data products while maintaining consistency between batch and real-time processing.

Qualifications

Cloud Data Engineering: experience building production data pipelines using Python, Airflow, dbt, and BigQuery on GCP or AWS.

  • Stream Processing: hands-on experience with Apache Flink or a similar framework, including event time, state, checkpointing, and late-arriving data.
  • Data Science Enablement: a strong understanding of feature preparation, model training, backtesting, and inference workflows.
  • Data Quality and Observability: experience building validation frameworks, monitoring, alerting, and data lineage for production systems.
  • Engineering Ownership: a track record of owning data solutions from design and implementation through deployment and operations.

Additional Information

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

  • Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
  • We offer 27 days holiday with an extra day on 2nd and 3rd year of service
  • We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
  • Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym Subsidy.
  • Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
  • The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.
  • Wondering what relocating to Berlin is like? In this article, we’ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.
  • Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters.

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you.

We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com.

Severely disabled applicants with equal qualifications will be given preferential consideration.

You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Соц.сети
Т

Middle Data Engineer

телекомНа сервисе с: 24.09.26 15:56
Зарплата не указанаРоссияУдалёнка

ID 3659 - Middle Data Engineer

🌍 Локация: РФ
💼 Удаленно
🕔 Занятость: фулл тайм

🏢 Проект: Телеком

💡 Требования:
• Опыт построения ETL-пайплайнов от 3 лет
• Знание Python, SQL
• Опыт работы с озёрами данных и витринами данных
• Понимание качества данных и валидации
• Опыт создания промышленных витрин на Hadoop, PostreSQL
• Готовность прохождения очного интервью с решением задач на Python и SQL на темы: создание ETL-процессов; оркестрация ETL-процессов ; подключение к интерфейсам, для захвата/передачи данных; оптимизация запроса к СУБД; использование очередей; использование LLM

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