Вакансии

Компания 2ГИС приглашает на позицию ведущего Data Scientist в команду DataLab. Работа предполагает полный рабочий день с возможностью удалённого формата по России или гибридного режима в нескольких городах. Кандидат должен иметь высшее образование в области прикладной статистики, математики, компьютерных наук или смежных дисциплин, а также не менее пяти лет опыта работы в сфере Data Science. Требуется уверенное владение Python или R для анализа данных и создания алгоритмов, а также хорошее знание SQL. Важным является опыт использования Apache Airflow или аналогичных систем оркестрации рабочих процессов. Кандидат должен уметь разрабатывать модели машинного обучения, включая классификационные и прогнозные, и обладать практическими знаниями в области математической статистики. Зарплата обсуждается по итогам собеседования и ориентировочно составляет от 280 000 до 350 000 рублей.

Описание проекта: Масштабный проект цифровой трансформации, влияющий на ключевые производственные процессы. Задачи: — Проектирование архитектуры данных: разработка и описание целевой архитектуры хранилищ (OLAP/OLTP), определение моделей данных, выбор форматов хранения и стратегий партиционирования. — Разработка Data Pipelines: проектирование и реализация ETL/ELT-пайплайнов: построение DAG в Apache Airflow, написание кастомных операторов и сенсоров на Python, настройка ретраев, алертинга и зависимостей. — Стриминг и батч-обработка: разработка стриминговых джоб на Apache Flink и батч-процессинга на Apache Spark. — Оптимизация производительности: практический опыт поиска и устранения узких мест, оптимизация медленных SQL-запросов (анализ execution plans, индексы, партиционирование), тюнинг конфигурации движков обработки (Flink, Spark) и баз данных для минимизации потребления ресурсов (CPU, RAM, I/O). — Обеспечение качества данных: организация тестирования трансформаций данных, внедрение механизмов проверки целостности и актуальности данных, реализация процессов нормализации и дедупликации. — Интеграции: разработка и поддержка интеграций между системами: REST/gRPC API, базы данных, message brokers (Kafka, MQTT), файловые хранилища (S3), Timeseries DB. — Работа с Jira: ведение задач, управление статусами и связями между задачами. — Поддержка технической и бизнес-команд: обработка заявок на поддержку существующих потоков данных или разработку новых, заведение и контроль исполнения заявок внутренних команд. — Поддержка команды в систематизации и автоматизации процессов. — Взаимодействие с разработчиками и тестировщиками для уточнения технических ограничений и требований. — Обеспечение прозрачности статуса технических задач и процессов для всей команды. Требования: — Опыт работы на позиции Data Engineer от 4 лет в сфере разработки ПО. — Опыт работы с ключевыми компонентами нашего стека: DBMS & Warehouses: уверенная работа с Postgres и MSSQL; опыт настройки и оптимизации OLAP-движков (Trino, StarRocks) и современных хранилищ (Cassandra, Redis). — Data Flow Tools: практический опыт работы с Apache Airflow (написание DAG, кастомные операторы); опыт использования Apache Kafka (producer/consumer) и Apache Flink (разработка стриминговых джоб, состояние, чекпоинты). — Data Lake / Lakehouse: опыт работы с Apache Iceberg, понимание архитектуры lakehouse, использование Lakekeeper для управления метаданными, работа с объектным хранилищем S3. — CDC: опыт реализации Change Data Capture паттернов для синхронизации данных между системами. — Глубокие знания в области архитектуры данных и баз данных: понимание принципов нормализации и денормализации, проектирование relational и columnar моделей, стратегии управления данными (lifecycle, retention, versioning). — Уверенное владение Python: написание скриптов, модулей, работа с асинхронностью при необходимости; опыт написания DAG в Apache Airflow, включая кастомные операторы, hooks, sensors. — Навыки оптимизации: умение профилировать процессы, находить bottlenecks, оптимизировать SQL-запросы и настраивать ресурсы кластеров под нагрузку. — Владение Jira и Confluence на уровне confident user (структура страниц, шаблоны, макросы, связки задач и документации). — Опыт организации хранения данных для последующих задач OLAP / OLTP с учетом требований (consistency / integrity). — Опыт организации обработки данных в рамках задач OLAP / OLTP с применением различных паттернов (batch processing, CDC). — Понимание ключевых особенностей и сценариев применения различных паттернов организации интеграционных потоков (batch processing, CDC) с учетом их характеристик (3V+). — Опыт заведения и сопровождения заявок в сервис-деске. Будет плюсом: — Опыт работы с Timeseries базами данных (InfluxDB, TimescaleDB, TDengine и др.). — Глубокий опыт эксплуатации кластеров (Hadoop, YARN, Kubernetes) в production-среде. — Знание SQL на продвинутом уровне (оптимизация сложных запросов, window functions, CTE). — Опыт работы с CI/CD для data-пайплайнов. — Понимание принципов DDD, event-driven архитектуры. — Опыт работы с Apache NiFi.

Location: Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Monterrey, Mexico; Montevideo, Uruguay; Odesa, Ukraine; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.GE, Georgia; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We are looking for a Senior Data/Analytics Engineer to work at the intersection of data engineering and business intelligence. In this role, you will own dbt models in Snowflake from design through deployment and build Tableau reporting solutions on top of them. You will have a direct impact on how portfolio, client, and financial data is modeled, governed, and presented across the organization. This position requires availability aligned with the EST time zone or at least a four hour overlap with EST working hours. The project involves the development and expansion of a centralized, scalable data ecosystem. Having successfully ingested the initial data source, the team is now moving into a high-growth phase to integrate multiple high-value financial and operational data streams. The goal is to provide C-level executives and advisors with a unified, reliable reporting layer for strategic decision-making. Design, develop, and maintain dbt Core projects, including staging, intermediate, and mart layers Build incremental models, snapshots, macros, reusable Jinja components, and testing frameworks Ensure data quality through testing, documentation, lineage management, and version controlled development practices Design dimensional data models and reporting structures for portfolio, client, and financial analytics Develop and maintain data ingestion pipelines into Snowflake, including API based integrations Orchestrate and monitor data workflows using Prefect Integrate and standardize data from third party platforms such as Addepar, NetSuite, Salesforce, Morningstar, and UKG through Workato Create and maintain Tableau dashboards, published data sources, and reporting assets Optimize Snowflake performance and cost efficiency through query tuning, warehouse management, and data architecture improvements Collaborate with business stakeholders to translate reporting and analytics requirements into scalable data solutions 5+ years of experience in Data Engineering or Analytics Engineering Hands on experience with dbt Core in production environments Experience designing data models, incremental strategies, snapshots, macros, Jinja templates, tests, and documentation in dbt Strong experience with Snowflake, including performance optimization and cost management Advanced SQL skills Strong understanding of dimensional modeling and star schema design Hands on experience building Tableau dashboards and data sources Experience with calculated fields, Level of Detail expressions, extracts, live connections, and dashboard performance optimization Experience with ETL and ELT architectures and API based data ingestion Experience with workflow orchestration tools such as Prefect or Apache Airflow Understanding of financial services, wealth management, investment management, or portfolio data structures dbt Analytics Engineering Certification Experience within wealth management or investment management environments Experience with Workato or comparable integration platforms Experience working with Addepar, Morningstar, or Bloomberg data Python development experience for data engineering workflows Experience implementing CI/CD practices for dbt projects using GitHub Actions or similar tools Knowledge of regulatory and privacy requirements related to financial data management and reporting

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The vision for the Lakehouse Infra team is to provide reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success. Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us! What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For: You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL, and Kubernetes. Experience scaling relevant technologies such as Iceberg, Flink, Airflow, Spark, Kafka, Snowflake, and Terraform. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) CAN base pay range per year: $ 153,000 - $ 213,000 CAD. This posting is for an existing vacancy. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The vision for the Lakehouse Infra team is to provide reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success. Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us! What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For: You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL, and Kubernetes. Experience scaling relevant technologies such as Iceberg, Flink, Airflow, Spark, Kafka, Snowflake, and Terraform. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Pay Grade - N Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $ 195,000 - $ 255,000 USA base pay range (all other U.S. states) per year: $173,000 - $233,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Ищем Data Engineer в крупную технологическую компанию, которая разрабатывает высоконагруженные платформенные продукты для международных рынков в entertainment-индустрии. Внутри — развитое data-направление и задачи, связанные с построением и развитием современной платформы данных. Чем предстоит заниматься: — проектировать, разрабатывать и развивать data pipelines; — работать с DWH: моделями данных, слоями, витринами и ETL/ELT-процессами; — писать и оптимизировать сложные SQL-запросы; — разрабатывать на Python инструменты и сервисы для работы с данными; — поддерживать и развивать production-пайплайны; — работать с большими объемами данных и распределенной обработкой; — следить за качеством и надежностью данных; — участвовать в выборе технических решений и развитии data-платформы; — взаимодействовать с аналитиками, разработчиками и другими продуктовыми командами. Для Senior-уровня также важен опыт самостоятельного проектирования архитектурных решений и способность брать ответственность за технический подход к задаче. Требования: — очень хорошее знание SQL и опыт работы со сложными запросами и большими объемами данных; — уверенный Python: не только небольшие скрипты, но и production-код, библиотеки или внутренние инструменты; — хорошее понимание принципов построения DWH; — опыт проектирования и разработки ETL/ELT-процессов; — понимание моделирования данных, построения витрин и контроля качества данных; — умение самостоятельно разбираться в задаче и предлагать техническое решение. Желательно: — практический опыт с Airflow: разработка и поддержка DAG, scheduling, retries, backfill, monitoring; — опыт с dbt или похожими инструментами трансформации данных; — опыт со Spark и понимание распределенной обработки данных; — работа с аналитическими СУБД: ClickHouse, Greenplum, Vertica или другими MPP/OLAP-системами. Будет плюсом: — Kafka; — Iceberg; — Trino; — Docker / Kubernetes; — CI/CD; — понимание подходов Data Mesh; — участие в open-source или собственные технические проекты. Условия: — full-time; — удаленный формат работы; — гибкое начало рабочего дня; — корпоративная техника; — испытательный срок 3 месяца; — расширенный пакет бенефитов после испытательного срока: медицинская страховка, бюджет на спорт / языки / дополнительное медицинское покрытие, дополнительные оплачиваемые дни отдыха; — внутренние технические встречи, тренинги и возможность участия в профессиональных конференциях и обучении. Процесс: Знакомство с рекрутером → короткий технический скрининг → технические секции по SQL, DWH и Python → для кандидатов Senior-уровня дополнительная секция по архитектуре и проектированию → встреча с командой.

Location: New York; San Francisco Workplace: Hybrid ABOUT ALCHEMY Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com. THE ROLE Build and run the internal data platform that helps Alchemy understand product usage, revenue, and the cost of serving customers. The existing Data Engineer intake centers on ingestion, Snowflake operations, workflow orchestration, data quality, and collaboration with analytics partners. You will own ingestion, schema changes, and checks that show whether shared datasets are current and correct. You will work with analytics engineers and data scientists to define those datasets for reporting, analysis, and AI-assisted tools. WHAT YOU WILL DO - Build batch and streaming pipelines that connect operational databases, product events, billing systems, and external sources to the internal data platform. - Make ingestion recoverable through change-data capture, schema-change handling, idempotent processing, and safe backfills. - Operate and improve Snowflake, including access controls, workload management, query performance, and compute and storage costs. - Improve orchestration and deployment workflows so engineers can test, ship, and debug pipelines safely. - Build data-quality checks that detect stale, missing, duplicated, or inconsistent records before they reach downstream consumers. - Work with analytics partners on shared data models, source definitions, and documentation. Make dataset ownership and upstream dependencies clear. - Reduce recurring manual work and build reusable tools for self-service data access. - Participate in production support and incident response for pipelines and the data platform. Restore data flow, reconcile affected datasets, and fix the causes of recurring failures. WHAT WE ARE LOOKING FOR - Experience independently building and operating production data pipelines and the infrastructure around them. - Strong SQL and Python skills, including testing, debugging, and maintainable software design. - Experience with Snowflake or a comparable warehouse, including performance tuning and access management. - Experience with workflow orchestration and transformation tools such as Airflow and dbt, or equivalent systems. - Understanding of data modeling, incremental processing, schema evolution, and data-quality testing. - The ability to trace a data discrepancy from a downstream report back to its source, explain the cause, and fix it. - Good judgment about stakeholder needs: turn recurring requests into reusable datasets or tooling, and make trade-offs clear. Blockchain experience is not required. HELPFUL EXPERIENCE - Kafka, database replication, or change-data-capture systems. - Apache Iceberg, Spark, Trino, or other lakehouse and query technologies. - Infrastructure as code, data observability, lineage, and disaster recovery. - Usage metering, billing and revenue data, or semantic layers for self-service analytics. WHAT SUCCESS LOOKS LIKE Within three months: - You own a production pipeline and have shipped an improvement to its freshness, reliability, or operating cost. - Downstream users can see whether its data is current, recovery procedures have been tested, and a recurring manual request has become a reusable dataset or tool. BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Задачи: — Решение сложных технических задач и разработка качественных программных систем с применением современных технологий. — Работа с данными в production-среде. — Поиск первопричин сбоев. — Преобразование и валидация больших объёмов данных. — Взаимодействие с REST-API. — Загрузка и выгрузка данных. — Работа с сериализованными и сжатыми форматами. Требования: — От 2 лет опыта с Python и библиотеками для работы с данными (pandas, multiprocess, Google Cloud SDK). — От 2 лет в ETL/ELT-технологиях (REST API, GraphQL, DBT) и оркестрации пайплайнов (Airflow, Astronomer, DBT Cloud). — Практический опыт со Snowflake. — Уверенное владение SQL (SQL Server, Oracle, MySQL, BigQuery, Snowflake). — Работа с форматами JSON, AVRO, XML, CSV, а также со сжатыми и закодированными файлами. — Навыки загрузки данных через REST-API и выполнения трансформаций. — Достаточный уровень английского для работы в международной среде. — Плюсом — опыт проектирования пайплайнов в облачной архитектуре, работы с CI/CD и GIT.

Location: Brazil, Colombia Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client Our customer is a leading education technology company that develops digital platforms and software solutions to support learning and improve educational experiences. The organization combines technology, data, and innovation to deliver scalable solutions to users and institutions worldwide. What You’ll Do Design, develop, and maintain reliable, scalable data pipelines and ELT processes using SQL and dbt. Build, optimize, and maintain data transformations, ensuring data quality, consistency, and reliability. Manage and maintain infrastructure using Terraform and infrastructure-as-code practices. Develop and support web applications and services using Node.js, TypeScript, GraphQL, and React. Collaborate with data, product, and engineering teams to deliver integrated data and application solutions. Contribute to the monitoring, troubleshooting, and continuous improvement of data pipelines, applications, and infrastructure. Participate in code reviews, technical discussions, and engineering best practices using GitHub and related tools. Participate in the on-call rotation, serving as the primary on-call engineer for one week out of every four and as backup on-call engineer for an additional week out of every four. What You Bring Strong hands-on experience with data engineering and ELT processes, including advanced SQL and dbt for building and maintaining data transformations and pipelines. Practical experience with Terraform and infrastructure-as-code practices for managing and maintaining technical environments. Proven web application development experience with Node.js, TypeScript, GraphQL, and React, with the ability to contribute across backend and frontend components. Strong problem-solving and troubleshooting skills, with a focus on reliability, maintainability, and production support. Ability to collaborate effectively with distributed, cross-functional teams and work with colleagues operating in the US Mountain Time zone. Availability to participate in the on-call rotation, including one primary on-call week and one backup on-call week in every four-week cycle. Nice to have Experience with Snowflake and AWS cloud services. Familiarity with Apache Airflow for workflow orchestration, Looker for analytics and business intelligence, and Python for scripting or data engineering. Experience with GitHub-based development workflows, including version control, pull requests, and collaborative code reviews. English level Intermediate/Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Our AI-Enabled Screening Process As an AI-first company, Exadel uses an AI recruiter to conduct a brief initial screening for this highly specialized position. This conversation helps us understand each applicant’s relevant experience and alignment with the role’s core requirements. The AI recruiter supports the process but does not make the final hiring decision. Candidates who successfully complete the initial screening will be connected directly with a member of our Talent team for the next step. If you require an accommodation or an alternative screening format, please let us know. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Mapbox Poland Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation team https://www.mapbox.com/navigation at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping. Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT https://www.mapbox.com/mapgpt, Mapbox for EV https://www.mapbox.com/ev, and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners https://www.mapbox.com/automotive— including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment. - Mapbox Blog: Introducing 3D Live Navigation https://www.mapbox.com/blog/mapbox-3d-navigation - Mapbox Blog: Route Notifications Improve Driver Safety https://www.mapbox.com/blog/route-notifications-improve-driver-safety - Mapbox Newsroom: AI Features in New Navigation SDK https://www.mapbox.com/press-releases/mapbox-unveils-ai-features-in-new-navigation-sdk As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include: - Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers). - Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines. - Build tools for automated quality assurance and data exploration. - Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms. - Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic. - Mentor colleagues and participate in code and design reviews. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field. - Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage. - Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments. - Operational excellence: You drive a culture of quality and continuous improvement in your organization. Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team. - Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine. - Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. - Growth mindset: Have the humility to accept mistakes, learn and grow from them. - Mentorship: Experience mentoring and leading engineering teams developing skill sets and career growth. - Strong written and vocal communication skills: You can talk and write about complex ideas concisely to a wide audience. You are able to lead and resolve org-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product). - Data informed mindset: You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential. You also have the right instincts to make speedy decisions in the absence of perfect & comprehensive data WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. Our annual compensation for this role ranges from $102.000 - $153.000 (salaries are in USD). Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of the role). By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.

Задачи: — Сотрудничество по модели аутстаф. Требования: — Глубокое понимание Linux (от загрузки до сетевого стека) и уверенное владение Bash и Python для автоматизации. — Коммерческий опыт с Kubernetes (администрирование, troubleshooting) и Docker (включая оптимизацию сборок). — Умение проектировать и поддерживать полный цикл CI/CD (предпочтительно на GitLab CI) и инфраструктуру как код (Terraform/Ansible). — Навыки построения систем мониторинга, логирования и алертинга на базе Prometheus, Grafana и ELK-стека. — Опыт работы со смежными сервисами: репозитории артефактов (Nexus), базы данных (PostgreSQL), брокеры сообщений (Kafka/RabbitMQ) и средства безопасности (Vault). — Знание сетевых и веб-технологий: HTTP/S, Nginx/HAproxy, стандарты аутентификации OIDC/OAuth 2.0 и Keycloak. — Опыт администрирования Big Data платформ: Hadoop ecosystem, Spark/Flink, Kafka, Hive/Trino. — Опыт работы с lakehouse-стеком: Iceberg/Paimon, Greenplum, Cassandra, MinIO/S3. — Умение управлять Big Data-компонентами через Kubernetes Operators и строить пайплайны в Airflow. — Знакомство с CDC (Debezium) и оркестрацией потоков данных. Будет плюсом: — Опыт работы по GitOps-методологии с ArgoCD и Helm. — Глубокое знание облачных платформ – Yandex Cloud, AWS. — Навыки в области DevSecOps. — Опыт работы с Go или Java для чтения и отладки кода приложений. — Опыт с Istio, Kerberos, Puppet. Условия: — Удалённая работа, аутстаф. — Варианты оформления: ИП или самозанятость. — Гибкий график и возможность совмещать с другими проектами. — Компания берёт на себя заботы по поиску проекта, общению с заказчиком и оплате. — Помощь в согласовании удобного графика работы с клиентом. — Возможность взять следующий проект при успешном сотрудничестве.

Location: Finland; Mapbox Helsinki Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation team https://www.mapbox.com/navigation at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping. Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT https://www.mapbox.com/mapgpt, Mapbox for EV https://www.mapbox.com/ev, and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners https://www.mapbox.com/automotive— including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment. - Mapbox Blog: Introducing 3D Live Navigation https://www.mapbox.com/blog/mapbox-3d-navigation - Mapbox Blog: Route Notifications Improve Driver Safety https://www.mapbox.com/blog/route-notifications-improve-driver-safety - Mapbox Newsroom: AI Features in New Navigation SDK https://www.mapbox.com/press-releases/mapbox-unveils-ai-features-in-new-navigation-sdk As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include: - Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers). - Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines. - Build tools for automated quality assurance and data exploration. - Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms. - Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic. - Mentor colleagues and participate in code and design reviews. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field. - Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage. - Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments. - Operational excellence: You drive a culture of quality and continuous improvement in your organization. Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team. - Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine. - Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. - Growth mindset: Have the humility to accept mistakes, learn and grow from them. - Mentorship: Experience mentoring and leading engineering teams developing skill sets and career growth. - Strong written and vocal communication skills: You can talk and write about complex ideas concisely to a wide audience. You are able to lead and resolve org-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product). - Data informed mindset: You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential. You also have the right instincts to make speedy decisions in the absence of perfect & comprehensive data WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.

Задачи: — Руководить отделом из 10 человек (продуктовые, системные, бизнес-аналитики и аналитики данных). — Выстраивать процессы взаимодействия внутри команды и со смежными подразделениями. — Ставить задачи дата-инженерам и архитекторам данных, продолжать развитие собственного счетчика и хранилища данных. — Отвечать за качество, доступность и актуальность данных. — Внедрять и развивать культуру принятия решений через проведение A/B тестов. — Разрабатывать методологию экспериментов: от формирования гипотез и выбора методологии расчета до интерпретации результатов. — Проводить когортный анализ и сегментацию пользователей. — Контролировать качество системной документации и описания интеграций. — Участвовать в проектировании нового функционала, оценивая влияние изменений на текущую архитектуру и смежные системы. Требования: — Глубокое понимание архитектуры современных хранилищ данных (DWH), озер данных (Data Lake) и принципов построения витрин. — Практический опыт проектирования ETL/ELT-процессов (Kafka, Airflow). — Понимание разницы между слоями: сырые данные (Raw), детальное хранилище (DDS) и витрины (Marts). — Знание концепции Master Data Management (MDM), Data Governance, Data Lineage, Data Catalog и Data Quality. — Желателен опыт внедрения или администрирования. — Знание стека: ClickHouse (OLAP), S3, Kafka (потоки данных), SuperSet, Trisigma (ex EXPF). — Владение методами статистического анализа и дизайна экспериментов. — Владение языками моделирования (UML, BPMN) для описания бизнес-процессов и системных взаимодействий. — Знание методологии гибкой разработки (Scrum, Kanban), применение к data-продуктам и ML-пайплайнам. — Системное мышление: способность видеть влияние изменений на смежные процессы и общую архитектуру. — Продвинутая коммуникация: умение договариваться со сложными стейкхолдерами и аргументировать позицию. — Энергия и инициатива, ведение команды за собой, настройка и улучшение процессов, стремление к результатам для бизнеса. Условия: — Официальное трудоустройство в аккредитованную ИТ-компанию с полным соблюдением ТК РФ, социальными гарантиями и стабильностью. — График работы 5/2, работа в офисе. — Конкурентоспособная заработная плата, обсуждается индивидуально с учётом опыта и навыков. — Профессиональное развитие: участие в профильных конференциях и семинарах. — ДМС: расширенная программа медицинского страхования, включая стоматологию. — Работа со сложными высоконагруженными продуктами, которыми ежедневно пользуются миллионы людей.

Position Overview: Join our Central Analytics team to build high-quality data marts, tools, and AI-powered workflows that shape player experience and drive game growth. You'll work alongside talented and experienced Analytics Engineers, partnering closely with game and marketing analysts to deliver solutions that make a real difference, all using a modern, cutting-edge technical stack. To truly make an impact, you'll need to learn quickly, thrive in a fast-paced environment, and collaborate closely within the team and with the stakeholders. Задачи: — Write and optimize complex SQL queries to support experimentation and model feature engineering across large-scale player datasets. — Design, build, and maintain cross-game data marts, providing clean and transformed data ready for Analysts to use. — Develop scalable, reusable, and maintainable code, tools, and frameworks that can be adopted across different game teams. — Partner with game analytics teams to co-design, build, and maintain data tools and products used across multiple applications. — Build and maintain end-to-end AI pipelines to support the day to day Analysts tasks. — Share knowledge across the team by educating game analysts on coding and software engineering best practices. Требования: — A bachelor degree in a quantitative field (e.g Engineering, Computer Science, Maths, Statistics or Physics). — Advanced SQL skills, including experience with CTEs, query optimization, and large-scale data warehouses. — Advanced experience building and maintaining data pipelines in production environments, using tools such as Airflow, Docker, S3, and CI/CD workflows. — Advanced experience in Python for developing production-level data analytics solutions. — Basic to intermediate experience integrating LLMs or working with generative AI tools and workflows. — A collaborative team player who builds trust, communicates openly, and contributes to shared success. — A fast learner who is proactive and comfortable working with ambiguity. — Detail-oriented, with a strong commitment to accuracy and high-quality outcomes. — Pragmatic, with the ability to balance short-term delivery needs with long-term technical quality. Преимущества: — Experience creating and maintaining dashboards in Tableau or a similar BI tool. — Background in the Mobile Gaming industry. — Background in Marketing Analytics. Условия: — Hybrid working from home/office system. — Must live within commuting distance of the office in Barcelona to attend important meetings/events. — Relocation support to help you move to Barcelona (if you’re not already here). — 25 days annual leave, not including public holidays. — 5 additional days annual leave on Christmas. — Generous ticket-restaurant. — Private medical insurance for you and your family. — Choice of latest iOS or Android device upon joining (phone or tablet). — Free language lessons (English & Spanish). — Spotify Premium subscription. — Social events and parties. — Budget for personal development and skill growth. — Onsite benefits including gym facilities, gaming room, physiotherapist, and hairdressers.

Область разработки: Международная IT компания которая занимается разработкой и поддержкой высоконагруженных проектов для крупных компаний, основная часть которых представляет собой развлекательные онлайн-сервисы. Задачи: — Анализ эффективности промо-кампаний, программ и иных активностей; — Проведение анализа данных для выявления закономерностей и инсайтов в пользовательском поведении; — Оптимизация запросов с целью повышения производительности аналитических процессов; — Участие в разработке отчетности и дашбордов для отслеживания ключевых продуктовых метрик с использованием Superset и Tableau; — Сбор и консолидация данных из различных источников; — Формулирование гипотез по улучшению продуктовых показателей на основе проведенного анализа; — Взаимодействие с внешними командами для внедрения продуктовых улучшений. Требования: — Опыт работы на позиции продуктового аналитика или аналитика данных от 2 лет; — Понимание продуктовых метрик, их взаимосвязей и методов влияния на них; — Знание основ математической статистики и теории вероятностей; — Владение методами сбора и анализа данных; — Уверенное знание SQL (MySQL, Clickhouse); — Хорошее владение Python для проведения анализа данных; — Опыт работы с инструментами визуализации данных, предпочтительно Superset. Будет плюсом: — Опыт работы в сфере Digital Entertainment, диджитал-маркетинга или e-commerce; — Практический опыт построения дерева метрик с нуля для действующих продуктов; — Опыт работы с Airflow. Условия: — Официальное оформление, медицинская страховка, рабочая виза, компенсация английского, и многое другое подробнее в лс.

Задачи: — Разработка шаблонов потоков данных на основе Flink DataStream — Реализация архитектуры потоков данных — Написание и доработка Java приложений для Big Data Требования: — Глубокое понимание Java Core, включая ООП, многопоточность, коллекции, исключения и generics — Опыт разработки микросервисов и REST API с Spring Boot, включая Spring Data, Security, Actuator и AOP — Опыт работы с Apache Flink для потоковой обработки, включая DataStream API, state management, checkpoints и Flink CDC — Работа с ETL/ELT, потоковыми и batch-процессами; инструменты вроде Airflow и Temporal — Понимание принципов проектирования фреймворков и библиотек — код "для других разработчиков" — Знание принципов работы с большими данными (Spark, Dask, pandas на больших датасетах — плюс) — Опыт работы с PostgreSQL, ClickHouse; знание форматов данных Iceberg и Paimon — Навыки работы с CI/CD, контейнеризацией (Docker), оркестрацией (Kubernetes — плюс) — Умение писать тесты (unit, integration), следить за качеством кода и его поддерживаемостью — Опыт программирования на питоне: скрипты, микросервисы, приложения Будет плюсом: — Активный интерес к новым технологиям и методам разработки — Знание и понимание различных аспектов разработки, включая агентный — Доказанный опыт практической реализации проектов, особенно в области баз данных и автоматизации Условия: — Полная занятость — График: 5/2 — Формат работы: удалённо или гибрид или офис

Задачи: — Планирование и проведение внедрения инструментов хранения и обработки данных. — Проектирование целевой архитектуры хранилищ данных. — Анализ потоков данных и выбор релевантного инструментария. — Проектирование пайплайнов данных и обеспечение качества данных. — Написание DAG, кастомных операторов и интеграций на Python. — Оптимизация SQL-запросов и настройка ресурсов кластеров. — Организация хранения и обработки данных для OLAP/OLTP задач. — Работа с заявками в Service-Desk и документацией технических решений. Требования: — Опыт работы на позиции Data Engineer от 4 лет в сфере разработки ПО. — Уверенная работа с Postgres и MSSQL. — Опыт настройки и оптимизации OLAP-движков Trino, StarRocks. — Опыт работы с Cassandra, Redis. — Практический опыт с Apache Airflow (написание DAG, кастомные операторы). — Опыт использования Apache Kafka (producer/consumer) и Apache Flink (разработка стриминговых джоб). — Опыт работы с Apache Iceberg, понимание архитектуры lakehouse, использование Lakekeeper, работа с S3. — Опыт реализации Change Data Capture паттернов. — Глубокие знания архитектуры данных и баз данных, нормализация, денормализация, модели данных. — Уверенное владение Python, включая асинхронность. — Навыки оптимизации процессов и SQL-запросов. — Владение Jira и Confluence на уровне confident user. — Опыт организации хранения и обработки данных с учетом consistency и integrity. — Понимание паттернов batch processing и CDC. — Опыт работы с заявками в Service-Desk. — Умение структурировать информацию и документировать технические решения. — Английский на уровне чтения и написания технической документации. Будет плюсом: — Опыт работы с Timeseries базами данных (InfluxDB, TimescaleDB, TDengine). — Опыт эксплуатации кластеров Hadoop, YARN, Kubernetes в production. — Продвинутые знания SQL (оптимизация, window functions, CTE). — Опыт работы с CI/CD для data-пайплайнов. — Понимание принципов DDD и event-driven архитектуры. — Опыт работы с Apache NiFi. Условия: — Удаленная работа по РФ. — Полная занятость. — Зарплата 270 000 - 295 000 рублей в месяц gross. — Работа в масштабном проекте цифровой трансформации с реальными производственными системами. — Команда зрелых разработчиков и проектная поддержка (Team Lead, Product Owner, Project Manager). — Возможность инициативы, развития и расширения зоны ответственности.

Location: Malta The Wow This role will contribute in designing and developing our platform to fulfil the business needs and to also improve our systems. Within this capacity you will have the chance to design new data pipelines, maintain platforms hosted on data streams for batch and real-time loading and real-time visualisations. A taster of what you will be involved with: Maintaining and evolving our existing data platform; Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect. Development and Maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams. Applying transformations to data streams; Being involved in data modelling following standards e.g. Inmon, Kimball, Data Vault; Ensuring data quality by verifying data consistency and accuracy; Keeping up to date on research and development of new technologies and techniques to enhance our data platform; Have an investigative mindset to be able to troubleshoot – thinking outside the box when it comes to troubleshooting problems and incident management; Full ownership on projects and tasks assigned together with being able to work within a Team; Able to document well processes and perform knowledge sharing sessions What we are looking for: Must haves: Experience with modern cloud database technologies such as Snowflake ; Experience with orchestrating data pipelines using Airflow ; Experience with AWS Glue ; Experience with Apache Iceberg; Experience with SQL , and Data Integration Tools Experience with any programming language like Python or Scala; Knowledge on AWS Services like S3/Lambda/API Gateways/DMS/RDS; Development experience in both Microsoft , and Linux/Cloud environments; Have strong analytical and problem-solving skills Nice to have: Familiar with Data Warehousing concepts and data modelling techniques such as Inmon, Kimball, Data Vault; Familiar with AWS Services such as MSK and EMR; Familiarity with containerization and orchestration technologies such as Docker and Kubernetes . Familiarity with Time-series or Analytics Databases such as Elasticsearch ; Familiar with data streaming using technologies such as Kafka ; Familiar with software versioning tools like GIT ; Familiar with infrastructure scripting like Terraform ; Familiar with Data Monitoring and Visualisation tools such as Prometheus and Grafana, Cloudwatch ; Scripting – Powershell, Unix Scripting; At least 2 years experience in Data Engineering; Excellent verbal and writing English communication skills; Good learning mindset; Able to set priorities and multitask What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy