Дата-инженер вакансии

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.

zerohash is looking for a Graph and Data Engineer to build identity-resolution pipelines and a canonical knowledge graph for secure data classification and authorization.

Разрабатывать и поддерживать ETL/ELT-пайплайны для загрузки и обработки данных из различных источников; Участвовать в миграции существующих процессов загрузки данных на новую data-платформу на базе ClickHouse;

Location: United Kingdom; Spain Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote, anywhere in Spain or the UK. Contract: Spain: Full-time, permanent contrato indefinido via Deel (our employer of record in Spain) UK: Full-time, permanent Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async. Curious what it's actually like to work at Airalo? We've put together a guide for each of the hubs we hire from most, covering our benefits, remote culture, employment setup, and what our team values most: Life at Airalo · España: https://airalo-public.notion.site/life-at-airalo-espana Life at Airalo · United Kingdom: https://airalo-public.notion.site/life-at-airalo-united-kingdom What You'll Do: Design, implement, and maintain data models using dbt within our cloud data warehouse, ensuring performance, cost efficiency, and alignment with business logic Build and maintain finance and revenue data models, including order-to-revenue flows, recognition logic, and reconciliation against source-of-truth financial systems, that finance and commercial teams can rely on for reporting and forecasting Own the order-to-revenue pipeline: ensuring every order correctly and traceably resolves into recognized revenue, with clear handling of refunds, adjustments, currency conversion, and edge cases Collaborate with other analytics engineers and data engineers to build and scale ELT workflows that ensure data freshness and reliability for mission-critical reporting Partner with Finance and the ERP systems integrator to validate that data models and definitions carry over correctly from legacy systems into the new ERP/EPM platform Implement robust testing, documentation, and monitoring practices, acting as a steward of data quality and governance across the platform, with particularly high attention to detail in domains where small errors compound (e.g., revenue, finance) Collaborate cross-functionally  to translate complex business questions into scalable, production-ready data artifacts Partner with the data analysts and domain leadership to drive the rollout and adoption of self-service analytics, ensuring business users can trust and independently explore the data models you build Contribute to the evolution of our modern data stack, bringing curiosity and pragmatic judgment to new tools and approaches Must Haves: Bachelor's/Master's degree in a quantitative field (statistics, economics, mathematics, computer science, or equivalent work experience) Hands-on experience building finance and/or revenue data models, ideally including order-to-revenue or billing-to-revenue pipelines, revenue recognition logic, or financial reconciliation (ERP, billing platforms or similar) 5+ years in analytics engineering, data engineering, or analytics roles with significant modeling responsibilities Strong SQL and data modeling skills, with demonstrated experience designing robust, scalable dimensional models Exceptional attention to detail, especially when working with numbers that feed financial reporting, reconciliation, or external disclosure Significant hands-on experience with dbt (Core or Cloud) for managing transformation logic, testing, and documentation Familiarity with cloud data platforms (BigQuery) and data orchestration tools (Airflow, Dagster, or similar) Experience working with modern BI platforms and semantic layers-LightDash experience is a strong plus Track record of partnering with analysts and business stakeholders to translate requirements into well-structured data products Strong communication skills, with the ability to explain complex data concepts to diverse audiences Proactive self-starter who thrives on solving ambiguous problems and takes ownership from concept to production Nice to Have: Experience in marketplace, telecom, or travel/mobility businesses Background in B2C product companies with high-volume event data Experience building analytics engineering capabilities in low-maturity data environments Previous experience at a scale-up that went through hypergrowth Experience defining and governing company-wide KPIs and metric frameworks Experience working alongside or within a finance function (e.g., supporting FP&A, revenue accounting, or audit processes) on data accuracy and traceability Why People Join Us 🇪🇸 Why people join us in Spain We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team is united by a shared belief that great work happens when people are trusted to own what they do. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact. For many of our teammates in Spain, it's the combination of stability, flexibility, and genuine work-life balance that makes Airalo feel like home. 🇬🇧 Why people join us in the UK We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product first discovered us as customers. Our team spans 60+ countries, but what people often notice quickly is how work actually feels here. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, people tend to stay for a mix of things: the chance to work on a product used globally, the autonomy to shape how they work, and the opportunity to keep taking on new challenges without getting stuck in one lane. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it's available: 📍 UK: £74,800 – £112,200 📍 Spain: €77,600 – €116,400 📍 Germany: €76,000 - €114,000 Your Home Destination: 🛫 Local market rates and cost of living vary. Your specific range within this band depends on where you're based, and there's room to discuss what's right for the person and the role. We'll walk through your range together on your first call with our Talent team so we're aligned for takeoff! 🎒✨

Проектировать и развивать Data Lakehouse платформу. Разрабатывать ETL/ELT пайплайны на базе Spark, DBT и Trino.

- Проектирование архитектуры хранилищ, моделей данных и стратегий партиционирования. - Разработка DAG, кастомных операторов и интеграций на Python с использованием Apache Airflow.

We’re looking for a specialist to help develop the data infrastructure behind our mobile games, build reliable data models, and provide teams with high-quality analytics to support product decisions. - 2+ years of experience working with data.

Location: Georgian office; Yerevan, Yerevan, Armenia About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. Our goal is not just to build technology, but to build the future operating model for our clients. Product: A US-based real estate and mortgage technology platform that supports the home-buying journey from property search through closing. It combines property search, data integrations, workflow automation, real estate services, and home-buying rewards in a single customer journey. Key Responsibilities Build and maintain reliable, scalable ETL/ELT pipelines and data platform components. Integrate data from multiple heterogeneous sources , including databases, APIs, files, and third-party systems. Clean, normalize, transform, and map messy, incomplete, and inconsistent data , often without reliable unique keys. Develop solutions for record matching, deduplication, reconciliation, and entity resolution across different data sources. Design data models and implement data quality, validation, and monitoring processes. Investigate data discrepancies, troubleshoot pipelines, and continuously improve data reliability and performance. Requirements 6+ years of hands-on Data Engineering experience . Strong Python and SQL skills. Solid production experience with ETL/ELT, data integration, and data modeling . Hands-on experience cleaning and mapping incomplete, inconsistent, or duplicated data from multiple sources . Experience matching records without a reliable common ID , using composite keys, rule-based or fuzzy matching, entity resolution, or similar approaches. Production experience with modern data technologies such as Airflow, dbt, Spark, Kafka, ClickHouse, Snowflake, Databricks, or similar . Strong understanding of data quality and DWH/data platform principles . We offer Freedom to Develop - equal opportunity to learn and grow professionally Clear career and professional path, strong performance management system Social Benefits Package Equipment English lesson Gym membership All the advantages of working in an international IT company Flexible vacation time Fun and inclusive in-person and digital events Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business ne ed. Learn more about Lineate at our website: www.lineate .com

Чем предстоит заниматься: Проектировать, поддерживать и оптимизировать ETL/ELT-процессы в Airflow: регулярные инкрементальные загрузки, backfill, cleanup, full-refresh, обработка исторических данных. Нам важно: Уверенный SQL и опыт оптимизации запросов на больших объемах данных.

💎 ОК ищет дата‑инженера для построения и оптимизации ETL‑процессов на базе стека YTsaurus, рефакторинга существующих процессов, выполнения ad hoc‑задач по выгрузкам и подготовке данных с их автоматизацией при необходимости, участия в доработках платформы и фреймворка расчётов, разработки отчётов в Superset, автоматизации процессов с использованием LLM;

Design and own the semantic layer and aggregation architecture across clients with 2 to 250 locations each. Build and maintain pipelines from sources like Mindbody, Zenoti, Boulevard, Mariana Tek, Domo, QuickBooks Online, GA4, Google Ads, Meta, and Klaviyo.

-Анализировать бизнес задачи/проблемы заказчика, транслировать их в аналитические задачи/решения для удовлетворения требований заказчика. -Разрабатывать документы бизнес-требований по шаблону, включая изменения (BRD на CR), определять требования к данным.

Design and develop end-to-end data pipelines using Azure Data Factory, SQL, and other Azure services. Implement complex data models, DAX measures, and calculated columns to support reporting.

Предстоит: Разрабатывать и поддерживать ETL/ELT-пайплайны для загрузки и обработки данных из различных источников; Участвовать в миграции существующих процессов загрузки данных на новую data-платформу на базе ClickHouse;

-разработка и оптимизация ETL/ELT-конвейеров для обработки больших данных. -настройка и администрирование Hadoop/Spark-инфраструктуры (HDFS, YARN, Hive, HBase).

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. 1Password is looking for a Staff GTM Engineer to join our Revenue Operations (RevOps) team and design, build, and scale Artificial Intelligence (AI)-powered workflows across sales, marketing, and Customer Success (CS). You’ll connect business strategy, analytics, and engineering to turn go-to-market challenges into reliable solutions that improve efficiency, intelligence, customer experience, and cost to serve. Reporting to the VP, Revenue Operations, this role is remote in the United States or Canada. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within Canada and the US. Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: • Experience applying business strategy to go-to-market challenges, whether in Revenue Operations, sales, consulting, or a related function. • Analytics experience in data, go-to-market, marketing, solutions engineering, or a similar field, with the ability to turn insights into action. • Strong technical experience with Python, Structured Query Language (SQL), Application Programming Interface (API) integrations, and automation across Software as a Service (SaaS) tools. • Experience applying AI to business workflows, governance, infrastructure, or operational processes. • Understanding of data enrichment, revenue automation, sales intelligence, and the systems that support sales, marketing, and Customer Success teams. • Experience with tools such as Clay, Apollo, ZoomInfo, Clearbit, 6sense, Demandbase, LeadIQ, Instantly, Smartlead, Zapier, Tableau, Looker, Qlik Sense, MicroStrategy, Domo, ThoughtSpot, Salesforce, HubSpot, Gong, or Outreach. • Experience deploying internal tools or applications using platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Retool, Streamlit, Slack bots, Git, vector databases, or similar technologies. What you can expect: • Design and implement AI-powered solutions across go-to-market tools and workflows. • Partner with Revenue Operations and go-to-market leaders to identify, evaluate, and prioritize high-impact AI use cases. • Build automations for data enrichment, lead scoring, summarization, routing, sales intelligence, and related revenue workflows. • Develop Python scripts, internal APIs, and integrations that connect and streamline SaaS platforms. • Integrate and evaluate third-party AI and automation platforms such as OpenAI, LangChain, Zapier, and Tray. • Help establish scalable, reliable, and well-governed AI workflows and infrastructure. • Document solutions, communicate technical recommendations clearly, and stay current on emerging AI applications for go-to-market teams. USA-based roles only: The annual base salary for this role is between $139,000 USD and $166,000 USD. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $124,000 CAD and $166,00 CAD. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

💎 Авиасейлс ищет Data Engineer для подключения новых источников данных и разработки/модернизации data pipelines, настройки и поддержки аналитического окружения, обмена данными с внешними и внутренними сервисами, совместной модернизации дата‑платформы с core‑командой, работы в паре с продуктовым дата‑инженером;

-реализовывать высоконагруженные конвейеры обработки данных для обеспечения надежной и бесперебойной репликации данных из ИТ-систем. -реализовывать комплексные задачи по подготовке данных в целевых аналитических хранилищах (DataLake, SandBox, FeatureStore) для построения признаков, необходимых для разработки моделей машинного обучения.