Вакансии

– Проектировать витрины данных: модель, гранулярность, состав атрибутов, историчность. – Разрабатывать и поддерживать процессы наполнения витрин, подключать новые источники данных.

валидация преобразований (source-to-target);

Сбор, анализ, формализация и согласование требований. для построения хранилищ данных, витрин и ETL-процессов;

- Анализ и формализация требований заказчиков; - Подготовка ТЗ и технической документации, в том числе Source2Target;

Требования: — Опыт миграции ETL-систем (желательно с Oracle/Informatica на Apache стек) — Глубокий SQL: оконные функции, сложные джойны, иерархические запросы — Оптимизация SQL для highload (партиционирование, индексы, explain plans) — Oracle (PL/SQL) и PostgreSQL — Greenplum и/или Clickhouse — Проектирование архитектур на Apache Spark (PySpark), NiFi, Airflow — Hadoop (HDFS) и Hive — Мониторинг ETL: Grafana/Prometheus или Victoria Metrics — Опыт работы с биллинговыми системами (желательно телеком-домен) Преимущества: — Потоковая обработка: Kafka Streams / Spark Streaming — Informatica PowerCenter (понимание мигрируемой системы) — Бинарные форматы хранения в Hadoop — Различия: Hive vs Impala, Greenplum vs PostgreSQL, Clickhouse vs PostgreSQL — Patroni для кластеризации PostgreSQL/Greenplum — S3-хранилища — КриптоПро или защищенные каналы передачи данных Задачи: — Миграция ETL-системы телеком-оператора с Oracle/Informatica на Apache стек (S3, Airflow, NiFi, Kafka, Greenplum) — Перенос бизнес-логики из Informatica в высокопроизводительный SQL-код — Написание и оптимизация SQL для витрин данных и ETL-процессов — Разработка DAG-ов в Airflow — Настройка пайплайнов в NiFi (источники: Oracle, PostgreSQL; приемники: S3, файловые архивы) — Разработка Spark-джобов (PySpark) для больших объемов — Интеграция с Kafka для потоковой передачи — Настройка мониторинга (Grafana/Prometheus) и отслеживание метрик — Разбор инцидентов по качеству данных и ошибкам загрузки — Code review

Location: Bordeaux, France; Grenoble, France; Lille, France; Lyon, France; Montpellier, France; Nantes, France; Paris, France; Toulouse, France; Augsburg, Germany; Aachen, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Bergisch Gladbach, Germany; Berlin, Germany; Bielefeld, Germany; Bernau, Germany; Bramsche, Germany; Chemnitz, Germany; Darmstadt, Germany; Dresden, Germany; Dusseldorf, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Karlsruhe, Germany; Kiel, Germany; Koln, Germany; Leipzig, Germany; Leverkusen, Germany; Magdeburg, Germany; Mainz, Germany; Lingen, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Neu-Ulm, Germany; Neuruppin, Germany; Neuss, Germany; Nuremberg, Germany; Osnabrück, Germany; Paderborn, Germany; Potsdam, Germany; Quedlinburg, Germany; Rimbach, Germany; Rostock, Germany; Schwerin, Germany; Stuttgart, Germany; Ulm, Germany; Varel, Germany; Viechtach, Germany; Warendorf, Germany; Wiesbaden, Germany; Wuppertal, Germany Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Salesforce Service Cloud developer to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Lead the design, configuration, and deployment of Salesforce Service Cloud and Agentforce solutions tailored to business requirements. Analyze current customer service processes and recommend improvements leveraging Salesforce capabilities. Integrate Salesforce Service Cloud with other enterprise systems (e.g., ERP, telephony, knowledge bases) using APIs and middleware. Collaborate with business stakeholders, IT teams, and third-party vendors to gather requirements and deliver end-to-end solutions. Develop and maintain technical documentation, process flows, and user guides for implemented solutions. Provide technical leadership and best practices for customer service design, case management, and automation within Salesforce. Conduct user training sessions and support change management activities to ensure successful adoption. Monitor system performance, troubleshoot issues, and implement enhancements as needed. Ensure compliance with data security, privacy, and regulatory requirements in all integrations and configurations. Must have: Bachelor’s degree in Computer Science, Information Systems, Business, or related field. 3+ years of hands-on experience with Salesforce Service Cloud implementation and configuration. Proven expertise in designing customer service processes and workflows within Salesforce. Experience with Agentforce (Salesforce Agent Console) setup and optimization. Strong knowledge of systems integration, including REST/SOAP APIs, middleware, and data migration. Salesforce Administrator and/or Service Cloud Consultant certification. Excellent communication, stakeholder management, and documentation skills. Ability to work independently and collaboratively in cross-functional teams. Nice to have: Experience in industries such as financial services, retail, telecommunications, or healthcare. Familiarity with Salesforce Omni-Channel, Live Agent, and Knowledge Management modules. Experience with third-party integration tools (e.g., MuleSoft, Dell Boomi, Informatica). Agile/Scrum project management experience. Additional Salesforce certifications (e.g., Platform App Builder, Advanced Administrator). Experience with customer journey mapping and CX design methodologies. Exposure to AI-powered service automation (e.g., Einstein Bots, predictive analytics).

Задачи: — Глубокая работа с данными в финтех области. — Проверка полноты, корректности и актуальности данных для расчёта банковских показателей риска PD, LGD, EAD. Требования: — Опыт работы аналитиком данных не менее 3 лет (middle). — Опыт работы в финтехе или банковской сфере. — Владение SQL на уровне сложных запросов. — Коммерческий опыт работы с Oracle. — Опыт применения Airflow (основы). — Опыт работы с Service Desk или аналогами. — Знание FineBI (основы). — Коммерческий опыт с Informatica ETL и Python. — Опыт работы с банковскими показателями риска PD, LGD, EAD. — В резюме должны быть подробно описаны обязанности и проекты, раскрыт опыт применения технологий. — Указание компаний, образования и возраста. — Отсутствие нецензурных выражений и неподобающих контактов в резюме. — Минимум два года работы на последних трёх местах. Условия: — Жёсткий отбор, важна правильная подача резюме и раскрытие опыта.

Ожидания: - Опыт работы от 3 лет; - Уверенное владение SQL: базовая оптимизация запросов, написание и разбор сложных JOIN, подзапросов для анализа и проверки данных, умение писать максимально «дешевые» по потреблению ресурсов запросы; - Знание особенностей работы (написание SQL) с БД Oracle и PostgreSQL; - Знание основ Airflow; - Опыт работы в инструментах Service Desk, умение анализировать инциденты качества данных и взаимодействовать с командами разработки и аналитики. Желательно: - Знание основных критериев качества данных (полнота, согласованность, актуальность) и умение формализовать их в виде проверок и технической документации; - Знание основ FineBI или иного BI-инструмента; - Знание Excel, Informatica ETL, Python; - Знание правил формирования PD, LGD, EAD и других показателей, входящих в ПВР.

Обязательные требования: — Гражданство РФ, локация РФ — Высшее техническое образование (IT инженер/естественные науки) — Опыт в финтех — Опыт работы на проектах внедрения/развития хранилищ данных и/или Data Lake от 3-х лет — Глубокое знание SQL (диалект Oracle), написание сложных запросов, чтение PL/SQL-кода — Опыт проектирования и разработки отчетности на базе MS SQL Reporting Services или Tableau — Опыт проектирования объектов БД, понимание принципов построения DWH — Навыки описания потоков загрузки данных в хранилища (DWH), составления технической документации (Source2Target, ТЗ) — Опыт работы с ETL-средствами, предпочтительно Informatica Power Center — Опыт работы с трекинг-системами, в частности JIRA Задачи аналитика: — Миграция данных: проектирование ETL-процессов (Informatica PowerCenter) для переноса исторических данных из старой системы в новую DWH — Разработка отчетности: создание дашбордов в Tableau или MS SQL Reporting Services для управленческой и регуляторной отчетности — Архитектура хранилища: разработка логической модели данных (ERD, C4) под требования регулятора и бизнеса; проектирование витрин данных — Интеграции: описание потоков загрузки данных (Source-to-Target mapping); настройка интеграции через REST API, Kafka или корпоративную шину сообщений (ESB) — Документация: подготовка ТЗ, технических спецификаций и схем взаимодействия между системами — Коммуникации: взаимодействие с бизнес-заказчиками, архитекторами и разработчиками для уточнения требований и реализации задач Условия: — Формат работы: удалённо — Вилка зарплаты до 265 000 рублей на руки О компании: Devquality — компания, которая помогает бизнесу выпускать надёжные и эффективные ИТ-решения, фокусируется на качестве на всех этапах: от проработки требований до проверки результата.

Требования: - Опыт TeamLead (управление командой) не менее 4 лет; - Опыт разработки ETL/ELT-процессов, в которых значительная часть логики реализована на стороне СУБД; - Опыт разработки и сопровождения хранимых процедур / функций в СУБД; - Практический опыт использования SQL/PLSQL или аналогичных процедурных расширений SQL для реализации загрузок и трансформаций данных; - Опыт участия в проектах миграции ETL-систем (Apache стек); - Опыт разработки на Python (написание ETL-скриптов, работа с pandas, интеграция с API); - Опыт написания и отладки DAG'ов в Apache Airflow (не только проектирование, но и разработка); - Опыт работы с PySpark (трансформации, оптимизация, партиционирование); - Опыт миграции ETL-процессов с Informatica PowerCenter на открытый стек (Airflow + Greenplum); - Глубокое практическое знание NiFi и Airflow: проектирование потоков, подключение источников, обработка ошибок, мониторинг, отладка; - Опыт работы с качеством данных: разработка правил валидации, анализ влияния на бизнес-процессы; - Понимание архитектурных подходов к проектированию хранилищ, различие ETL и ELT; - Опыт работы с Hive metastore (устройство, хранение на PostgreSQL) и форматами файлов (Parquet, ORC); - Опыт работы с Оracle; - Опыт применения сложных SQL-запросов (оконные функции, джоины); - Умение оптимизировать запросы для highload-среды; - Опыт проектирования интеграций Apache-стека с Kafka и BI-системами; - Опыт настройки потоковой обработки данных; - Опыт работы с Hadoop и Hive (знание версий, источников данных); - Опыт работы с PostgreSQL, Greenplum, Clickhouse; - Опыт работы с Grafana/Prometheus для отслеживания ETL-процессов; - Опыт работы с биллингом; - Опыт автоматической валидации и контроля качества данных после миграции (сравнение результатов, метрики); Обязанности: - Миграция ETL-процессов с Informatica PowerCenter на целевой стек: NiFi + Airflow + Greenplum + SQL/хранимые процедуры. - Подготовка документации AS IS и TO BE; - Написание SQL кода; - Отслеживание метрик.

Проект: Телекоммуникации Занятость: полная Локация: РФ Гражданство: РФ Формат: Удаленно Роль: Data Engineer (ETL-миграция) Локация: РФ, удаленно График: МСК ± 2 Гражданство: РФ Обязательно: - Опыт миграции ETL-систем (желательно с Oracle/Informatica на Apache стек); - Глубокий SQL: оконные функции, сложные джойны, иерархические запросы; - Оптимизация SQL для highload (партиционирование, индексы, explain plans); - Oracle (PL/SQL) и PostgreSQL; - Greenplum и/или Clickhouse; - Проектирование архитектур на Apache Spark (PySpark), NiFi, Airflow; - Hadoop (HDFS) и Hive; - Мониторинг ETL: Grafana/Prometheus или Victoria Metrics; - Опыт работы с биллинговыми системами (телеком-домен). Желательно: - Потоковая обработка: Kafka Streams / Spark Streaming; - Informatica PowerCenter (понимание мигрируемой системы); - Бинарные форматы хранения в Hadoop; - Различия: Hive vs Impala, Greenplum vs PostgreSQL, Clickhouse vs PostgreSQL; - Patroni для кластеризации PostgreSQL/Greenplum; - S3-хранилища; - КриптоПро или защищенные каналы передачи данных. Задачи: - Миграция ETL-системы телеком-оператора с Oracle/Informatica на Apache стек (S3, Airflow, NiFi, Kafka, Greenplum); - Перенос бизнес-логики из Informatica в высокопроизводительный SQL-код; - Написание и оптимизация SQL для витрин данных и ETL-процессов; - Разработка DAG-ов в Airflow; - Настройка пайплайнов в NiFi (источники: Oracle, PostgreSQL; приемники: S3, файловые архивы); - Разработка Spark-джобов (PySpark) для больших объемов; - Интеграция с Kafka для потоковой передачи; - Настройка мониторинга (Grafana/Prometheus) и отслеживание метрик; - Разбор инцидентов по качеству данных и ошибкам загрузки; - Code review. Ключевые компетенции для отбора: миграция ETL-систем, SQL (оконные функции, оптимизация), Oracle PL/SQL, PostgreSQL, Greenplum, Clickhouse, Apache Spark (PySpark), NiFi, Airflow, Kafka, Hadoop, Hive, Grafana/Prometheus, биллинг, телеком.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked. Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity. The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways. What you'll be doing: Organizational Leadership Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning. Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy. Own the organization's budget, vendor relationships, and contractor or offshore capacity. Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc. Analytics Engineering and Data Architecture Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications. Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code. Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed. Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths. Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns. Data Governance, Metadata, and Lineage Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform. Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation. Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance. Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets. Enterprise Reporting and Data Visualization Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management. Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented. Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources. Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content. Advanced, Proactive, and AI-Enabled Analytics Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses. Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted. Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds. Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal. Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work. Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time. Cross-Functional Partnership, Intake, and Prioritization Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management. Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments. Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction. Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions. What we're looking for: Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered. 15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers. Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise. Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD. Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management. Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica. Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability. Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption. Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting. Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization. Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities. Experience managing budget, vendor contracts, and platform licensing. Preferred Skills: Master's degree or MBA in a related field. Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks. Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases. Hands-on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts. Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus. Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models. Track record leading a major platform migration, consolidation, or reporting rationalization effort. Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Проект посвящен расчёту величины кредитного риска по кредитному портфелю требований к корпоративным заёмщикам и ценным бумагам Банка (Положение 483-П). Включает управленческую отчетность по RWA ПВР, факторный и портфельный анализ, оптимизацию RWA, а также расчет тестовых гипотез без отражения в отчётности Банка. Задачи: • Взаимодействовать с бизнес-заказчиками и уточнять требования; • Проектировать целевые витрины (разрабатывать логическую и физическую структуру); • Разрабатывать новые и дорабатывать текущие витрины данных в рамках перехода на ПВР; • Внедрить промышленную базу (витрину) дефолтов с необходимыми атрибутами (дата дефолта, дата выздоровления и др.); • Разрабатывать витрины с историческими данными и интегрировать их в процессы и потоки данных; • Составлять детальную техническую документацию (FSD, Source2Target); • Разрабатывать контроль качества данных; • Проводить ПСИ витрин. Требования: • Высшее естественнонаучное, техническое или экономическое образование; • Опыт работы на проектах внедрения/развития хранилищ данных (DWH) и/или Data Lake от 3 лет; • Глубокое знание SQL (диалекты Oracle, PostgreSQL), написание сложных запросов, чтение PL/SQL-кода; • Опыт проектирования объектов БД на всех слоях, понимание архитектуры DWH; • Навыки описания потоков загрузки данных, составления технической документации (Source2Target, ТЗ, FSD); • Опыт управления командой от 2 человек, выстраивание процессов, обучение и менторство; • Опыт в согласовании FSD и проведении Code Review; • Понимание целей проведения ПМИ и ПСИ, опыт работы с JIRA. Будет плюсом: • Знание принципов построения отчетности для регуляторов, понимание метрик PD, LGD, EAD, EL; • Опыт работы с ETL-средствами (предпочтительно Informatica Power Center); • Опыт работы в финтехе в команде DWH не менее 5 лет.

Location: Rotterdam, Netherlands An international B2B SaaS company is looking for a Senior Product Owner to lead one of its most strategic product domains – the integration platform connecting enterprise customer systems. This is a hands-on Product role focused on enterprise integrations, APIs and platform capabilities rather than customer-facing features. You'll own the product area end-to-end, working directly with customers, engineers and technology partners to design scalable integration solutions that automate complex operational workflows. What you'll do - Own the Integration & Platform product area from strategy through delivery. - Define product vision, roadmap and priorities for enterprise integrations. - Translate customer operational workflows into scalable integration logic. - Design product requirements, user stories and acceptance criteria. - Partner closely with engineering teams on API-first solutions. - Drive integrations with ERP, HR, finance, scheduling and other enterprise systems. - Work directly with enterprise customers to understand their processes and validate solutions. - Coordinate with third-party software vendors and technology partners. - Improve customer onboarding, automation and platform adoption. - Define and measure product success through KPIs such as onboarding time, integration adoption, reduction of manual work, data quality and customer outcomes. - Contribute to the evolution of AI-enabled workflows through APIs, webhooks and structured integrations. Requirements - 3+ years of experience as a Product Owner or Product Manager. - Strong experience owning enterprise integrations, API products or platform capabilities in production. - Hands-on understanding of REST APIs, webhooks and API-driven products. - Ability to independently translate customer business processes into technical specifications. - Experience with data mapping, workflow automation and enterprise integration patterns. - Comfortable working directly with enterprise customers and technical stakeholders. - Excellent English communication skills. Nice to have - Experience in B2B SaaS, TravelTech, FinTech or Enterprise Software. - Experience integrating ERP, HR, finance or scheduling systems. - Knowledge of iPaaS platforms such as MuleSoft, Boomi or Informatica. - Exposure to AI-powered workflow automation or intelligent agents. - Technical background in software engineering or integration engineering. Benefits - Ownership of a highly strategic product domain. - Opportunity to shape a platform that directly impacts customer success. - Close collaboration with international enterprise customers. - High level of autonomy and product ownership. - International product and engineering environment. - Hybrid work model (3 days per week in the office). Location - Rotterdam, Netherlands (Hybrid) - Candidates already based in the Netherlands are strongly preferred. - Visa sponsorship is available for exceptional candidates willing to relocate.

Задачи: — Управление доработками и настройкой системы, формирование требований; — Разработка и актуализация методологической и эксплуатационной документации; — Тесное взаимодействие с командами заказчика и разработчиками для реализации функциональных требований; — Анализ ошибок в продукте; — Постановка задач на разработку нового функционала и исправление ошибок отделу разработки; — Разработка программы обучения и проведение тренингов специалистов внутренней команды и партнеров; — Участие в маркетинговых мероприятиях компании (выступления на конференциях, запись видео, написание статей для сайта и журнала); — Участие в проектах внедрения продукта совместно с партнерами компании в качестве эксперта. Требования: — Опыт внедрения MDM-систем вендоров МДМ (в приоритете Юнидата, Taskdata, Informatica, Юниверс MDM, Аренадата); — Знание методологии МДМ и основных подходов реализации проектов; — Владение методологиями сбора требований и моделирования бизнес-процессов; — Навык разработки качественной проектной документации; — Опыт написания организационных регламентов и методологической документации будет преимуществом; — Понимание принципов интеграции систем; — Опыт работы с базами данных. Условия: — Молодой и дружный коллектив; — Полностью белую заработную плату; — Оформление по ТК РФ с первого рабочего дня; — График работы пн-пт с 9:00 до 18:00 в офисе компании или удаленно; — ИТ-льготы сотрудникам (отсрочка от армии); — Доступ к системе скидок на платформе Best Benefits (фитнес, отдых, обучение, рестораны, доставка и пр.); — Корпоративные мероприятия; — Обучение и развитие за счет компании.

Location: New York, New York, United States About the Role iCapital is looking to hire a Data Engineering Senior Vice President, to lead the evolution of the enterprise data platform that powers AI, automation, analytics, and data-driven decision making across the firm while positioning proprietary data as a strategic business asset. This role is responsible for defining and executing the architectural vision, roadmap, and operating model for a modern, AI-ready data ecosystem built on a strong foundation of cloud technologies and established engineering capabilities. The position will provide leadership across platform architecture, engineering standards, and cross-functional alignment while overseeing the development of scalable data products, semantic layer capabilities, and future AI enablement initiatives. Partnering closely with an engaged executive steering committee, this individual will play a critical role in shaping how data supports the firm's long-term growth and innovation strategy. Responsibilities Define and own iCapital's enterprise data architecture, including the Snowflake platform, semantic layer, reusable data products, and AI-ready ecosystem. Establish standards for data engineering, governance, security, observability, quality, and documentation. Own platform reliability, SLAs, DataOps practices, and incident management. Lead architectural strategy, tooling decisions, and platform investment recommendations. Develop and execute the multi-year Data Engineering roadmap aligned to business and AI priorities. Translate enterprise data strategy into prioritized engineering initiatives and platform capabilities. Build business cases for platform investments and proactively address technical debt and future scalability needs. Partner with business and technology leaders to deliver data products that support enterprise objectives. Communicate platform progress, risks, and investment decisions to executive stakeholders. Build and lead a high-performing Data Engineering organization and culture. Qualifications 12+ years of experience in data engineering, including 5+ years leading large-scale engineering organizations across multiple functions Proven track record designing, building, and operating enterprise-scale cloud data platforms (Snowflake, Databricks, or equivalent), including architecture, security, governance, and cost optimization Deep expertise establishing data engineering best practices across pipeline design, data quality, observability, data contracts, documentation, and operational support Demonstrated success developing multi-year platform strategies, securing investment, prioritizing initiatives, and delivering measurable business outcomes Experience partnering with and presenting to executive stakeholders within regulated industries, translating complex technical concepts into business impact Hands-on experience with analytics engineering, semantic layer development, and modern data transformation frameworks such as dbt Financial services experience within asset management, wealth management, fintech, banking, or insurance, including knowledge of regulated data environments and governance requirements Deep expertise in Snowflake architecture, performance optimization, security, and data sharing at enterprise scale Knowledge of alternative investments, wealth management, fund administration, or related financial services domains Experience building AI- and ML-enabled data platforms, including semantic layers, feature stores, model-serving infrastructure, or LLM-integrated architectures Experience with Informatica or comparable enterprise data catalog, metadata management, and MDM platforms Proven success scaling data engineering organizations through periods of rapid growth, including organizational design, hiring, and leadership development Benefits The base salary range for this role is $200,000 to $250,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Integration Engineer Job Description We are seeking an experienced Integration Engineer to join our enterprise integration engineering team at PlayStation. We are responsible for delivering reusable, scalable, and loosely coupled integrations that simplify and automate business processes, improving user experience and data quality across the enterprise. As an Integration Engineer, you will design, develop, maintain and support integration solutions using MuleSoft and SnapLogic platforms. You will work across a wide range of integration use cases, applying modern integration patterns and best practices to connect systems across SaaS platforms, AWS-hosted COTS applications, cloud-native services, and bespoke on-premise systems. Working closely with global engineering and business teams across multiple time zones with a high degree of ownership and limited supervision. You will have strong and demonstrable experience of industry-standard integration design patterns and approaches, including implementing API-based real-time integrations, event-driven and pub-sub architectures, asynchronous request-response, and batch/data integrations patterns across multiple integration platforms. What you'll be doing: Integration Architecture & Design Produce and maintain high-quality integration designs (HLDs and LLDs) addressing both functional and non-functional requirements. Select and apply appropriate integration patterns (real-time, event-driven, pub-sub, asynchronous, batch) based on business and technical requirements. Ensure the designs are clearly documented, socialised with the relevant stakeholders, and capture the rationale for integration design decisions. Define API specification and integration contracts, implementing a scalable, secure, and reusable integration solution aligned to enterprise standards (e.g. security) Identify risks, issues, and constraints, and communicate them timely and effectively to the stakeholders. Actively contribute to the integration teams best practices and design patterns maturing the teams design and delivery processes. Integration Development Participate in Agile/Scrum delivery activities including sprint planning, estimation, and implementation. Develop, test, deploy, and support integration solutions using MuleSoft and SnapLogic, following established SDLC and DevOps practices Implement integrations across enterprise environments, including SaaS platforms, AWS-hosted applications, cloud-native services, and on-premise/bespoke systems Implement CI/CD pipelines, automated testing (e.g. MUnit or equivalent), and release management processes. Ensure integrations are secure, scalable, resilient, and observable, including logging, monitoring, error handling, and performance optimisation Leverage AWS-native messaging and eventing services (e.g. SQS and SNS) to support decoupled and event-driven integration architectures Collaborate with product managers, architects, and engineering managers and teams to deliver end-to-end integration solutions Work with core capabilities of integration platforms, including API management, gateway policies, runtime and deployment environments, data transformation, connectors/adapters, and orchestration/pipeline frameworks across MuleSoft and SnapLogic Drive reuse, standardisation, and continuous improvement across integration solutions and platform usage. Support production deployments, incident resolution, and root cause analysis activities. Participate in on-call and production support rotations. Work with globally distributed teams across US and Japan time zones. What we're looking for: 10+ years of experience of designing and delivering enterprise integration on one or more integration platform (e.g. Informatica, Dell Boomi, OSB, or similar) 5+ years of experience of hand-on integration design and development experience on MuleSoft and/or SnapLogic. MuleSoft and/or SnapLogic certification. Experience with AWS SQS and SNS. Experience with GitHub Actions, Jenkins, Maven, ReadyAPI/Postman. Exposure to emerging integration approaches such as MCP Servers and agentic based integrations is desirable. Skills Strong problem-solving and analytical skills. Strong communication and collaboration skills. Ability to work independently and within globally distributed teams. Ability to quickly learn and adapt to new integration technologies and platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. €87.800 — €131.800 EUR Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Задачи: — Разработка новых витрин данных, доработка имеющихся в Банке витрин на основании БТ в рамках проекта перехода Банка на ПВР — Разработать и внедрить промышленную базу (витрину) дефолтов, исходя из разработанных критериев дефолта, включая необходимые атрибуты (например, дата дефолта, дата выздоровления, события дефолта и др.) — Разработать витрины с историческими данными, некими константами за прошлые периоды — Интеграция исторические витрины в текущие (будущие) процессы и потоки данных — Взаимодействовать с бизнес заказчиком — Проектировать целевые витрины (разрабатывать логическую и физическую структуру витрин данных) — Составлять детальную документацию (FSD, s2t) — Разрабатывать контроль качества данных — Проводить ПСИ витрин Требования: — Высшее естественнонаучное, техническое или экономическое образование — Опыт работы на проектах внедрения/развития хранилищ данных и/или Data Lake от 3-х лет — Глубокое знание SQL (диалекты Oracle, PostgreSQL), написание сложных запросов, чтение PL\SQL-кода — Опыт проектирования объектов БД на всех слоях, понимание архитектуры хранилищ данных — Навыки описания потоков загрузки данных хранилища (DWH), составление технической документации (Source2Target, ТЗ, FSD) — Желателен опыт работы с ETL-средствами, предпочтительно с Informatica Power Center — Опыт работы с бизнес-заказчиком и уточнение бизнес требований — Опыт управление командой от 2-х человек, выстраивание процессов внутри команды, обучение команды и менторство — Опыт в согласовании FSD и проведении Code Review — Понимать для чего проводится ПМИ и ПСИ — Опыт работы с трэкинг-системами и, в частности, JIRA — Знание принципов построения отчетности для регуляторов, понимание что такое PD, LGD, EAD, EL (будет плюсом) — Опыт работы в Финтехе в команде DWH не менее 5 лет (будет плюсом) Условия: — full-time