Вакансии

Проектировать и разрабатывать сервисы, обрабатывающие миллиарды событий пользователей. Решать сложные инженерные задачи: склейка идентификаторов, расчеты метрик, real-time агрегации, построение витрин.

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 We’re looking for a Senior Analytics Engineer to help shape how data is modeled and governed at Airalo, transforming first- and third-party data into clean, trusted, well-documented datasets that power decisions across product, marketing, finance, and commercial teams, serving 30+ million users and growing. This role carries particular weight in our finance and revenue domain: you’ll steward the models finance relies on directly, including order-to-revenue flows and reconciliation against third-party systems such as our ERP, where precision and auditability matter as much as scalability. Our analytics engineering function is still maturing, so you’ll have real ownership in establishing standards, defining our semantic layer, and shaping how data is structured as we scale globally, working closely with the rest of the data team to build a production-grade analytics platform on LightDash and beyond. 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, so your specific range depends on where you’re based. Most people join in the first half of the band, which leaves you plenty of room to grow, and you’ll see exactly how that looks from day one. In exceptional cases, where a candidate’s skills and experience clearly exceed what the role requires, we’re happy to talk about going higher. We’ll walk through your range together on your first call with our Talent team, so we’re all aligned for takeoff! 🎒✨

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

Location: Bengaluru, India We are looking for a Senior Data Engineer to implement and validate change data capture from AWS Aurora PostgreSQL into Snowflake. You will help build metadata driven integration frameworks, support schema adoption in the Medallion architecture, and contribute to performance, reliability, and governance across the data flow. The Analytics Warehouse project supports a large portfolio of business applications with a centralized data environment. The initial milestone focuses on implementing and validating managed ingestion from Aurora PostgreSQL to Snowflake, with production rollout and full dimensional modeling planned for later phases. Configure and operate Snowflake OpenFlow from Aurora PostgreSQL to Snowflake Tune and troubleshoot Aurora PostgreSQL for logical replication Provision infrastructure using Terraform and AWS IAM with least privilege access controls Run structured proof of concept tests for large tables high volume CDC concurrency and outage recovery scenarios Document outcomes of proof of concept testing and validation activities Monitor replication health using Snowflake native observability and Amazon CloudWatch Define success criteria with stakeholders for replication and ingestion validation Support Snowflake side setup for managed ingestion including warehouses grants schedules and reconciliation checks Apply security and governance practices appropriate to a regulated financial and member services context Perform schema DBT and Snowflake native pipeline renewal while preserving business and data continuity Execute performance and cost improvements Follow agreed teardown procedures to remove replication and access artifacts Hands on experience with Snowflake OpenFlow or Apache NiFi Strong experience with PostgreSQL or Aurora including logical replication WAL slots and access control Experience with Terraform on AWS including networking security groups IAM and role pass through for managed services Experience with DBT for data transformations Proficiency in SQL for transformations validation and reconciliation Working knowledge of Snowflake including warehouses roles and loading patterns Understanding of CDC and ELT fundamentals Experience with data quality validation and reconciliation practices Strong communication skills for Agile cross team collaboration in distributed teams Experience with GitHub Experience with PostgreSQL sources and Snowflake targets using OpenFlow NiFi or similar services Experience with Python or similar languages for checks automation and reporting Experience with Snowflake OpenFlow or similar managed CDC offerings Experience with Airflow or equivalent tools for production orchestration Experience in financial services or similar regulated domains Experience with cloud cost estimation for replication at scale Experience with Amazon EKS or Kubernetes for monitoring and issue resolution in the OpenFlow or NiFi environment Experience with Cursor or Claude Experience with specification driven development

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.

Location: Paris, France; Marseille, France; Bordeaux, France; Biarritz, France; Brussels, Belgium 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. ⭐️ THE DATA TEAM - Being part of Alan's data team means you'll have a positive impact on people's health and wellbeing. - We create insights to help our colleagues focus on what is most impactful. - We build features and tools powered by data that directly help our members. - Examples include: - going deep into health consumption patterns, - understanding our product usage, - creating visibility to help our sales team perform, - automating how we reimburse our members, - building products that help our members stay healthy...  We also believe in having a full stack approach: - Each one of us contributes to all 3 aspects of the data spectrum (analytics, engineering, science). This encourages strong ownership and drives impact. - We own our infrastructure. We pride ourselves on a nimble data stack that gives us the flexibility we need. We're mainly using SQL, Python, R, Airflow, Snowflake, and Metabase. - We build in-house tooling to organize our data and serve it to the rest of the company. 🎯 EXPECTED SKILLS AND ABILITIES You would thrive at Alan if most of this sounds like you: - Passionate about owning ambitious problems and developing simple solutions for them - Demonstrated impact during a first successful experience. - Experience or willingness to grow in all 3 aspects of the data spectrum (analytics, engineering, science) -- being specialized in one of these areas is good too! - Proficient in SQL, Python and/or R- Setting a high standard of rigor and precision for yourself, interested in your craft - Great listening and communication skills - Humble, kind, collaborative, and still willing to grow (no matter your seniority!) - Fluent and clear in English, both oral and written (no need to speak French!) For this role we are looking to hire within the C1-E level range 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 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21. #LI-DNP

Опыт внедрения систем хранения данных dwh обязательно чтобы был опыт несколько раз с нуля. Опыт ведения отчетности и визуализации данных Чтобы вел запуск, развитие.

Lead the bank’s Data function across three departments: Data Engineering, Reporting, and a new Data Governance team. Design and build the new data warehouse and operational data layer.

As an Operations Engineer, you'll apply AI at the forefront of BizTech's operational health: using LLM-powered triage and intelligent automation to resolve tickets, speed up incident response, and build self-healing observability that catches problems before they escalate. AI fluency is core to this role, not an add-on.

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

• Сопровождение и эксплуатация Data Lake платформ; • Поддержка S3/Object Storage инфраструктуры;

-Разработка и поддержка административного портала на React/TypeScript: приложения, роли и доступы, секреты, пространства, ресурсы, репозитории и базовые образы, модели, мониторинг и отчёты. -Разработка и доработка REST API на Python/FastAPI в сервисах портала, шаблонизатора и нотификаций: эндпоинты, схемы Pydantic, сервисный слой, доступ к PostgreSQL.

-Strong experience with TypeScript and SQL. -Understanding of RESTful APIs.

— Разработка новой информационной системы с нуля. — Проектирование архитектуры под высокие нагрузки.

💎 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;

Задачи: — Создавать новую информационную систему «с чистого листа» — Развивать и поддерживать существующий ландшафт систем — Участвовать в проектировании архитектуры, которая выдержит федеральные нагрузки — Менторить команду и формировать стандарты обмена знаниями — Управлять технической частью проектов: оценка, делегирование, принятие решений Требования: — 5+ лет в промышленной разработке на Python — Экспертиза в Python 3.8+, Django 3+, FastAPI — Понимание алгоритмов и структур данных (не просто «знаю», а «применяю») — Свободное владение SQL и опыт работы с PostgreSQL, Redis — Опыт настройки *nix окружения — Понимание принципов REST, HTTP — Лидерские качества: опыт распределения задач и выработки технических решений — AI-грамотность: понимание, как использовать AI в разработке, не создавая «когнитивный долг» и не жертвуя надёжностью — Технологический стек: Python, TypeScript, Django, FastAPI, Flask, VueJS 3, PostgreSQL, Redis, Elastic Search, AirFlow Условия: — Формат работы: Офис / Гибрид

Location: ES - Barcelona, Spain Senior Data Platform Engineer Scopely is looking for a Senior Data Platform Engineer to join our Playgami Data Platform team. At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily. Playgami builds technology for game teams across Scopely. Our Data Platform provides the shared foundation that enables teams to use data safely and reliably at scale, supporting 15+ games and 2,000+ active users across Scopely and processing more than 60TB of data per day . What You’ll Do As a Senior Data Platform Engineer, you will build and improve the shared infrastructure, tooling, and services that power data and analytics teams across Scopely. You will investigate platform needs, evaluate technical tradeoffs, and turn agreed priorities into tested code and reusable infrastructure. Working closely with data and analytics teams, Security, and Governance, you will take platform improvements from technical design through deployment and operation. Your main responsibility will be to improve the security, reliability, scalability, and efficiency of our Data Platform while making it easier for teams to build and operate their data workloads. You will lead the technical design and delivery of platform improvements, making informed tradeoffs between reliability, security, scalability, and cost as part of a shared team roadmap. Build and operate shared GCP and BigQuery infrastructure using Terraform, automated checks, and CI/CD. Build scalable, self-service platform capabilities that enable data teams to develop, deploy, and operate workloads with less manual support. Improve user and service account access, ensuring least-privilege principles and dependable approval, review, and revocation processes. Translate Security and Governance requirements into practical controls for sensitive data and data sharing. Improve Airflow and Cloud Composer reliability through troubleshooting, staged upgrades, and tested recovery processes. Improve cloud data platform performance and cost efficiency using workload and capacity insights. Build actionable monitoring and alerts, investigate incidents, and implement improvements to prevent recurring failures. Partner with teams to understand their needs, investigate platform challenges, evaluate potential solutions, and help shape the technical roadmap. Make platform workflows easier to adopt and operate through documentation, runbooks, and mentoring. Provide infrastructure, access controls, and shared tooling that help teams use data safely and reliably at scale. What We’re Looking For Experience designing, deploying, and operating production cloud or data platforms, including safe releases and recovery. Hands-on experience with GCP, BigQuery, IAM, service accounts, and Cloud Storage , or strong equivalent cloud experience. Experience authoring Terraform and CI/CD workflows , testing infrastructure changes, and resolving drift. Experience with Python for reusable automation and SQL for investigating data and workload behavior. Experience implementing and validating least-privilege access, sensitive data controls, and audit logging. Experience operating Airflow, Cloud Composer, Dagster , or a similar workflow orchestrator. Demonstrated experience reducing manual work or improving platform reliability, workload performance, or cloud costs. Strong English communication skills and experience collaborating with engineering, security, and data teams. Bonus Points Experience with BigQuery reservations, capacity management, query optimization, and cost attribution. Experience with Cloud Composer migrations or upgrades, multi-environment orchestration, and recovery testing. Experience with Workload Identity Federation, short-lived credentials, access approval integrations, or tools such as Britive and Lumos. Experience with data classification, column-level controls, masking, controlled sharing, or automated discovery of sensitive data. Experience automating and operating Looker, dbt, Fivetran, or Cube as shared platform services. Experience supporting automated data workloads, including access controls, monitoring, and cost limits. Experience using AI-assisted tools for platform automation, troubleshooting, or documentation, with appropriate testing and review. You do not need experience with every tool listed. We value production ownership, sound engineering judgement, and the ability to learn. Relevant experience can come from data platform, cloud infrastructure, software engineering, DevOps, or site reliability roles. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.