Hybrid Opportunity as Digital Reality Operations Analyst in Bengaluru, IN

🏢 Summary: The role focuses on improving data governance, standardising reporting, and automating workflows to enhance commercial decision-making across regions. It ensures consistent KPI definitions, reliable reporting, and early detection of data issues by aligning business and IT. The position drives scalable analytics solutions and AI-assisted insights within a multinational B2B manufacturing environment. 🗂️ Requirements: 5+ years in similar data/BI role in B2B multinational manufacturing, Hands-on experience with BI tools (Power BI or Tableau), Strong SQL and Python skills, Experience with ERP/CRM systems (SAP, Oracle, Salesforce), Proven experience in reporting standardisation and automation, Ability to define data quality standards and validation rules, Experience coordinating UAT and translating business needs into technical requirements 📃 Skills: PowerBI, Tableau, SQL, Python, SAP, Oracle, Salesforce, ERP, CRM, AI, UAT, DataGovernance, Automation, DataValidation 🏢 Description: This position strengthens commercial decision-making by making reporting trustworthy, consistent, and scalable. You’ll improve how data is governed, reduce reporting noise, and replace manual workflows with automation—working closely with both business stakeholders and IT. Your mission: Teams across regions use the same KPI definitions and reporting logic Data issues are caught early through clear validation standards and monitoring Reporting becomes faster and more reliable thanks to automation Business and IT move in sync on data improvements and system changes What you’ll own: 1) Data quality & governance Set practical rules for data quality (validation checks, standards, documentation) Investigate mismatches between systems/reports and coordinate fixes Build and maintain “how we work with data” documentation (SOPs, definitions) 2) Reporting clean-up & standardisation Align reporting across regions: KPI definitions, structures, and datasets Identify overlapping dashboards and remove duplicates Maintain a clear map of reporting assets and their data sources 3) Automation & modern analytics Spot repetitive/manual reporting tasks and turn them into automated workflows Define requirements and measurable outcomes for automation initiatives Ensure solutions are maintainable, documented, and adopted by the team Use AI-assisted approaches to speed up insights (trend/anomaly spotting, interpretation support) 4) Business–IT delivery Translate commercial needs into data/reporting requirements Support planning and prioritisation of data initiatives Coordinate UAT by identifying the right users and guiding validation What we’re looking for: 5+ years in a similar role within a B2B multinational manufacturing environment Strong hands-on skills with BI (Power BI / Tableau) and data tools (SQL, Python) Solid understanding of ERP/CRM ecosystems (e.g., SAP, Oracle, Salesforce) Experience improving reporting through automation and better visualisation practices Strong stakeholder management: able to influence without formal authority High attention to detail, good organisation, and ability to work across time zones Proactive mindset and interest in new technologies/automation

🏢 Summary: Leadership role responsible for driving data analytics strategy and integrating AI to enhance predictive capabilities, operational efficiency, and strategic decision-making in a highly regulated pharmaceutical environment. The position leads cross-functional analytics initiatives, ensures regulatory compliance, and manages a high-performing data team aligned with business goals. Focused on innovation and governance, the role leverages advanced analytics and AI to support organizational growth and performance. 🗂️ Requirements: Bachelor's degree in Data Science, Business Analytics, or related field, Minimum 5 years of experience in data analytics or related roles, At least 2 years of leadership experience, Proven experience leveraging AI in data analytics, Experience in a highly regulated industry, Strong knowledge of data governance and regulatory compliance, Proficiency in data analytics tools and AI-driven platforms 📃 Skills: AI, Analytics, DataScience, PredictiveAnalytics, DataGovernance, Compliance, ProjectManagement, Reporting, DataManagement 🏢 Description: POSITION SUMMARY The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights. This position encompasses ownership of extensive data projects, leveraging AI to enhance speed, scale, quality, and decision-making. Aligned with growth in a 503A/503B environment, the role demands excellence in strategic thinking, execution rigor, and learning agility. This role is pivotal in aligning data analytics strategies with business goals, ensuring compliance, and fostering innovation in a highly regulated landscape. Candidates must demonstrate strong leadership capabilities and the ability to optimize AI as a transformative force multiplier, advancing competitive edge and operational efficiency. RESPONSIBILITIES Data Strategy AI Integration: Develop and implement data analytics strategies that integrate AI to enhance predictive analytics capabilities, improve data quality, and support strategic decision-making across the organization. Collaborate with cross-functional teams to ensure alignment with business objectives and regulatory requirements. Innovation Leadership: Lead the exploration and adoption of cutting-edge AI technologies to drive innovation in data analytics processes. Foster a culture of continuous improvement and learning within the analytics team to maintain competitive advantage in the industry. Strategic Alignment: Ensure data analytics initiatives align with business goals and regulatory standards. Utilize data-driven insights to inform strategic planning and operational decisions, contributing to growth and compliance in a highly regulated sector. Team Leadership Mentorship and Development: Provide leadership and mentorship to the data analytics team, fostering a collaborative and high-performance environment. Encourage professional growth and development, ensuring the team possesses the skills necessary to meet evolving business needs. Performance Management: Oversee team performance, setting clear objectives and key results (OKRs) aligned with organizational goals. Implement performance metrics and feedback mechanisms to drive accountability and excellence in execution. Talent Acquisition: Participate in the recruitment and retention of top-tier analytics talent. Ensure the team's competencies align with the strategic demands of the business, cultivating a diverse and inclusive workplace culture. Operational Excellence Process Optimization: Optimize data analytics processes to improve efficiency and effectiveness, leveraging AI to streamline operations. Implement best practices and continuous improvement initiatives to enhance data analysis capabilities and outcomes. Resource Management: Manage analytics resources, ensuring efficient allocation of tools and technologies. Monitor budgetary constraints and leverage AI-driven solutions to maximize resource utilization and operational efficiency. Regulatory Compliance: Ensure data analytics practices comply with industry regulations and standards. Implement governance frameworks to maintain data integrity, security, and privacy, supporting commitment to compliance and ethical practices. Cross-Functional Collaboration Partnership Building: Establish and maintain strong relationships with key stakeholders across the organization. Collaborate with departments such as IT, finance, and operations to align data analytics projects with business priorities and strategic initiatives. Communication and Reporting: Effectively communicate data insights and analytics findings to non-technical audiences. Prepare and deliver executive-level reports and presentations that articulate the value and impact of analytics initiatives on business performance. Project Management: Lead cross-functional data analytics projects, ensuring timely delivery and alignment with business objectives. Utilize AI-driven project management tools to enhance collaboration, track progress, and optimize project outcomes. KNOWLEDGE AND SKILLS Proficient in data analytics tools and AI-driven platforms, with strong analytical and problem-solving skills. Exceptional leadership and team management abilities, fostering a culture of innovation and continuous improvement. Strong understanding of regulatory compliance within data management and analytics environments. Excellent communication and stakeholder management skills, with the ability to convey complex data insights effectively. EXPERIENCE AND QUALIFICATIONS Bachelor's degree in Data Science, Business Analytics, or related field; Master's preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.

🏢 Summary: Contract role focused on developing and enhancing Power BI dashboards and reports to deliver actionable business insights. The position involves transforming complex datasets, collaborating with stakeholders, and ensuring data accuracy and relevance. Experience in data analysis, database management, and other BI tools is considered a plus. 🗂️ Requirements: 5-7 years of experience in Power BI development, Strong skills in data transformation, Strong skills in data visualization, Ability to design and develop interactive dashboards and reports using Power BI, Ability to ensure data accuracy and relevance 📃 Skills: PowerBI, DataTransformation, DataVisualization, DataAnalysis, DatabaseManagement, BI 🏢 Description: Summary: The primary purpose of this role is to leverage advanced Power BI skills to transform data into actionable insights for decision-making within the organization. Main Responsibilities: Design, develop, and enhance interactive reports and dashboards using Power BI. Transform complex data sets into comprehensible and actionable insights. Collaborate with stakeholders to understand their data visualization needs. Ensure the accuracy and relevance of the data presented. Key Requirements: 5-7 years of experience in Power BI development. Strong skills in data transformation and visualization. Nice to Have: Experience in data analysis or database management. Familiarity with other business intelligence tools. Other Details: Contract Duration: 4 Months Shift Timings: APAC/General shift

🏢 Summary: Hands-on technical role focused on designing and deploying automation and analytics solutions to transform planning processes at scale. The position combines software development, data engineering, and cloud technologies to deliver scalable tools that improve efficiency and decision-making in a supply chain environment. You will build Python- and cloud-based solutions while collaborating with business stakeholders to drive digital transformation. 🗂️ Requirements: 1-3 years professional experience in Python programming, Strong skills in Python for automation, data processing, API integrations, Hands-on experience with Microsoft Azure, Experience with Microsoft Power Platform, Experience with version control systems (Git), Understanding of application and data architecture, Ability to document architecture and solutions, Basic knowledge of cloud security principles (IAM, roles, access management), Fluent English (B2 minimum) 📃 Skills: Python, Azure, PowerApps, PowerAutomate, Git, GitHub, SQL, AzureSQL, SQLServer, PowerBI, DAX, CI/CD, IAM, draw.io 🏢 Description: Job Description Are you passionate about driving digital transformation and automation at scale? In this role, you will be part of a dynamic team focused on transforming planning operations across Europe by developing and deploying innovative digital solutions. You will work closely with a network of ~150 planning specialists and leaders, enabling them to operate more efficiently through automation, advanced analytics, and digitization. Your work will directly impact business results by reducing manual effort, improving decision quality, and accelerating execution. This is a hands-on technical role where you will combine software development, data engineering, and business understanding to design and deliver scalable solutions in a complex supply chain environment. Responsibilities Design, develop, and support automation and analytics solutions to improve planning processes and business performance Build and maintain cloud-based data flows and application-supporting data processing solutions Partner with planners, analysts, and leaders to identify opportunities for digitization and translate them into technical solutions Develop and maintain Python-based tools for data processing, automation, and system integrations Leverage Microsoft Power Platform (Power Apps, Power Automate) to streamline workflows and enhance user experience Ensure high-quality documentation of solutions, architectures, and processes Collaborate within a multidisciplinary team to continuously improve existing tools and introduce new capabilities Apply best practices in coding, version control, and solution design to ensure sustainability and long-term maintainability Contribute to incremental improvements of data and application architecture within planning processes Expected to deliver measurable improvements in touchless adoption, planner productivity, and service/cost KPIs Job Qualifications Required: Strong programming skills in Python (automation, data processing, API integrations) with 1-3 years of professional experience. ​ Hands-on experience with Microsoft Azure Experience with Microsoft Power Platform Experience with version control systems (e.g., GitHub) Understanding of application and data architecture at solution level (including ability to document using tools like draw.io ) Basic understanding of cloud security principles (IAM, roles, access management) Strong collaboration skills with ability to work independently High attention to detail, especially in documentation and solution design Fluent English (minimum B2 level) Preferred: Experience with Copilot Studio or AI-based solutions (e.g., chatbots, agents) Knowledge of SQL and relational databases (Azure SQL, SQL Server) Experience with Power BI and DAX Basic understanding of DevOps and CI/CD concepts Experience working within enterprise security frameworks We offer P&G-sized projects and access to world leading IT partners and technologies from Day 1. Wide range of self-development possibilities (training and certifications paths). Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards). Regular salary increases and possible promotions - in line with your results and performance. Opportunity to change role every few years to be in the best place for you and best for P&G. At Procter & Gamble we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication. Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch?v=0bicvbpy0gI Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

🏢 Summary: Rola architekta rozwiązań i właściciela produktu odpowiedzialnego za rozwój oraz utrzymanie środowiska Digital Workplace opartego na Microsoft 365 w dużej organizacji. Stanowisko obejmuje definiowanie mapy drogowej, zarządzanie architekturą, dostępnością i wydajnością usług oraz nadzór nad wdrożeniami, bezpieczeństwem i zespołami wsparcia. Kluczowe jest doświadczenie w pracy na dużą skalę oraz zarządzanie środowiskami endpoint i tożsamością. 🗂️ Requirements: 5+ lat doświadczenia technicznego w IT, 5+ lat doświadczenia z MS Intune/ConfigMgr w środowisku powyżej 5,5 tys. użytkowników, Doświadczenie z Exchange Online, Teams, OneDrive, SharePoint Online, OneNote, Power Automate, Sentinel na dużą skalę, Doświadczenie we wdrażaniu i zarządzaniu Windows 10/11 w organizacjach powyżej 5,5 tys. urządzeń, Doświadczenie w zarządzaniu środowiskami Android i iOS w dużej organizacji, Doświadczenie we wdrażaniu aplikacji Microsoft 365 przez Intune/Office Portal, Doświadczenie z Windows Autopilot, Znajomość licencjonowania Microsoft, Doświadczenie w zarządzaniu tożsamością i dostępem (Active Directory / Entra), Doświadczenie w zarządzaniu zespołami projektowymi i wsparcia, Znajomość ITIL i dokumentacji procesowej, Udokumentowane doświadczenie jako architekt/lider/inżynier w środowisku korporacyjnym, Biegła znajomość języka angielskiego (C1) 📃 Skills: Intune, ConfigMgr, Exchange, Teams, OneDrive, SharePoint, OneNote, PowerAutomate, Sentinel, Windows10, Windows11, Autopilot, Android, iOS, Microsoft365, ActiveDirectory, Entra, ITIL, Azure 🏢 Description: Twoje przyszłe zadania: Mapa drogowa produktu: Twoim zadaniem jest dopilnowanie, aby mapa drogowa produktu była jasno zdefiniowana. Wspólnie z zespołem określisz cele i priorytety, aby każde wdrożenie lub zmiana technologii były zgodne z tą mapą. Ważne jest, aby te działania zakończyły się sukcesem i były zoptymalizowane pod względem możliwości, elastyczności i prostoty. Usługa przetwarzania danych: Jesteś odpowiedzialny za zapewnienie dostępności i niezawodności usługi przetwarzania danych dla użytkowników końcowych. Wspierasz zespół własny oraz zespół outsourcingowy, aby utrzymać produkt na najwyższym poziomie. Zarządzanie partnerami: Współpracujesz z partnerami zewnętrznymi, dbając o zgodność z umowami i optymalizację kosztów. Twój nadzór nad subskrypcjami również pomaga w efektywnym zarządzaniu finansami. Architektura rozwiązań: Jako architekt rozwiązań, opracowujesz standardy i najlepsze praktyki. Tworzysz ścieżki, które pozwalają osiągnąć cele i monitorować postępy. Komunikacja techniczna: Przekazujesz szczegółowe informacje techniczne zarówno w formie pisemnej, jak i ustnej. Działasz jako punkt kontaktowy dla różnych grup odbiorców, w tym interesariuszy biznesowych, użytkowników, programistów i kierownictwa projektów. Współpraca: Współpracujesz z zespołami wewnętrznymi, klientami i dostawcami, aby zrozumieć potrzeby i opracować efektywne rozwiązania. Współpraca z zespołami ds. cyberbezpieczeństwa, prawa i prywatności jest kluczowa dla zapewnienia zgodności z przepisami. Rozwój wiedzy technicznej: Będziesz rozwijać dogłębną wiedzę na temat istniejących technologii, dostawców, systemów i procesów. Twoim celem jest dostarczenie praktycznych rozwiązań, które pomogą ulepszyć i rozwijać te elementy. Ocena i wybór rozwiązań: Będziesz uczestniczyć w ocenie i wyborze konfiguracji, rozwiązań lub produktów. To obejmuje także ocenę dostawców i produktów. Umiejętności analityczne i rozwiązywanie problemów: Twoje silne umiejętności analityczne i badawcze pozwolą Ci rozwiązywać krytyczne problemy w szerokim zakresie systemów, nawet tych, które mogą być nieznane. Architektura i wydajność: Jako właściciel architektury i rozwiązań technologicznych, będziesz dbać o wydajność infrastruktury punktów końcowych firmy. Celem jest stale poprawiające się doświadczenie użytkowników w ramach Cyfrowego Środowiska Pracy w Grupie Budimex. Mapa drogowa produktu: Będziesz definiować i aktualizować mapę drogową produktu oraz wymagane możliwości na kolejne lata. Współpraca z ekspertami: Współpracujesz z ekspertami dziedzinowymi, aby zrozumieć środowisko techniczne i w razie potrzeby zaangażować ich w proces. Zarządzanie projektami: Tworzysz, przeglądasz i zatwierdzasz zmiany projektowe w dziedzinie technicznej. Wsparcie i utrzymanie produktu: Jesteś odpowiedzialny za wsparcie i utrzymanie produktu. Zarządzanie zespołem wsparcia: Prowadzisz i zarządzasz zewnętrznym zespołem wsparcia. Zarządzanie budżetem: Zarządzasz produktem w oparciu o uzgodnione budżety, w tym koszty utrzymania, licencje i wsparcie. Współpraca z zespołami finansowymi i zakupowymi: Współpracujesz z zespołami finansowymi i zakupowymi przy odnawianiu i zmianach umów. Nasze oczekiwania: 5+ lat odpowiedniego doświadczenia technicznego w IT. Co najmniej 5 lat praktycznego doświadczenia w środowisku MS Intune/ConfigMgr, Exchange Online, Teams, OneDrive, SPO, OneNote, Power Automate, Sentinel na dużą skalę (ponad 5,5 tys. użytkowników). Wdrażanie systemu Windows 10/11 i zarządzanie nim w dużych, rozproszonych geograficznie organizacjach (5,5 tys. urządzeń lub więcej). Zarządzanie środowiskiem Android i iOS w dużych, rozproszonych geograficznie organizacjach (5,5 tys. urządzeń lub więcej). Wdrażanie i zarządzanie aplikacjami Microsoft 365 przy użyciu MS Intune/Office Portal. Wdrażanie systemu MS Windows przy użyciu rozwiązania Autopilot. Zarządzanie i znajomość licencjonowania Microsoft w obszarze produktu. Zarządzanie tożsamością i dostępem do aplikacji (tj. Active Directory / Entra). Doświadczenie w zarządzaniu zespołami projektowymi oraz zespołami wsparcia. Biegła znajomość języka angielskiego w mowie i piśmie na poziomie C1. Dobra orientacja na klienta. Wymagania dotyczące prowadzenia dokumentacji procesowej i ITIL. Udokumentowany sukces jako lider/architekt/inżynier lub podobna rola w globalnym środowisku klasy korporacyjnej. Zdolności strategiczne do podejmowania istotnych decyzji i zaleceń dotyczących złożonych zagadnień w celu osiągnięcia długoterminowych wyników i celów strategicznych. Zdolność do skutecznej pracy przy minimalnym nadzorze w atmosferze wielu wymagań, zmieniających się priorytetów i presji terminów. Silne umiejętności interpersonalne, komunikacyjne, pisemne, werbalne i prezentacyjne. Gotowość do pracy w trybie hybrydowym (maks. 2 dni zdalne w tygodniu) Mile widziane Microsoft 365 Certified: Administrator Expert Microsoft 365 Certified: Security Administrator Associate Microsoft Certified: Azure Solutions Architect Expert

🏢 Summary: Hybrid B2B role in the banking sector focused on designing and maintaining data models for credit and financial data processes. The position involves translating business requirements into scalable technical solutions, ensuring data quality, and supporting integrations, automation, and end-to-end solution design. Candidates will collaborate with stakeholders and technical teams while working with SQL, Python, and data integration technologies. 🗂️ Requirements: Extensive experience in data modeling and solution design, Strong SQL skills, Hands-on experience with relational databases, Good programming skills in Python, Experience with data integration and transformation, Experience with data mapping across multiple systems, Understanding of APIs and system integrations, Understanding of process modeling, Experience ensuring data quality and governance standards, Strong analytical and problem-solving skills, Experience translating business requirements into technical solutions, Experience working with business stakeholders, Fluent English 📃 Skills: SQL, Python, APIs, Kafka, PowerBI, Java 🏢 Description: Industry: banking Location: hybrid - 3 days per week from office in Warsaw or Gdańsk Rate: 165 pln/h on b2b Summary: The primary objective of this role is to design and maintain data models that support credit and financial data processes. This position focuses on translating business requirements into scalable technical solutions, ensuring data quality, and facilitating collaboration between technical and non-technical teams. Main Responsibilities: Design and maintain data models supporting credit and financial data processes. Analyse business requirements and translate them into scalable technical solutions. Define and manage data mappings between multiple systems to ensure accurate data integration and transformation. Ensure data quality, consistency, traceability, and auditability across the solution landscape. Collaborate with business stakeholders, architects, and development teams on end-to-end solution design. Prepare and maintain technical documentation and functional specifications. Support process optimization and automation using AI-assisted tools. Participate in solution implementation, testing, and continuous improvement activities. Key Requirements: Extensive experience in data modeling and solution design. Strong SQL skills and hands-on experience with relational databases. Good programming skills in Python. Experience with data integration, transformation, and data mapping across multiple systems. Understanding of APIs, system integrations, and process modeling. Experience ensuring data quality, consistency, and governance standards. Strong analytical and problem-solving skills. Experience working directly with business stakeholders and translating business requirements into technical solutions. Fluent English, both written and spoken. Nice to Have: Knowledge of Kafka. Experience with Power BI. Familiarity with Java development. Understanding of data warehouse concepts and architecture. Experience using AI tools for documentation, testing, data analysis or development support. Experience in banking, finance, or regulatory reporting environments. Knowledge of credit risk, rating, or financial statement data domains.

🏢 Summary: The offer is for a Data Engineer/DevOps professional to build and maintain scalable data platforms and cloud infrastructure, automate data workflows using CI/CD and Infrastructure as Code, and optimize data pipelines for high availability and security. The role focuses on managing data processing environments and supporting model deployment in collaboration with data teams. 🗂️ Requirements: Proficiency in Linux/Unix administration, Strong Shell scripting skills, Advanced knowledge of Python, Advanced knowledge of SQL, 3–5 years experience in Data Engineering or DevOps, Degree in Computer Science, Data Engineering, or related field 📃 Skills: Linux, Unix, Shell, Python, SQL, Azure, Spark, Databricks, Docker, Kubernetes, Terraform, Ansible, Hadoop, Kafka, CICD 🏢 Description: Key Responsibilities Infrastructure Management: Build and maintain scalable data platforms and cloud-based infrastructure. Automation: Implement CI/CD pipelines for data workflows and automate manual processes using Infrastructure as Code (IaC). Pipeline Optimization: Monitor, troubleshoot, and optimize data processing jobs to ensure high availability. Security & Compliance: Ensure data integrity and security across all environments. Collaboration: Work closely with Data Scientists and Engineers to streamline the deployment of data models. Requirements Systems & Scripting: Strong proficiency in Linux/Unix administration and Shell scripting. Programming: Advanced knowledge of Python and SQL . Mindset: Exceptional analytical and problem-solving skills. Education: Degree in Computer Science, Data Engineering, or a related technical field. Experience: 3–5 years of proven experience in Data Engineering or a DevOps-related role. Nice-to-have Cloud & Big Data: Hands-on experience with Azure , Apache Spark , and Databricks . DevOps Tools: Proficiency with Docker , Kubernetes , CI/CD tools, and IaC (e.g., Terraform, Ansible). Data Ecosystems: Familiarity with Big Data technologies such as Hadoop or Kafka .

🏢 Summary: Role focused on developing and maintaining data integration and analytics solutions while implementing AI-driven process improvements across the organization. The position combines programming, data analysis, API development, and deployment of AI tools to optimize business operations. The candidate will collaborate cross-functionally to design, implement, and continuously improve data and automation solutions. 🗂️ Requirements: Experience in programming (Python, SQL, system integrations), Experience in data extraction, transformation and analysis from CRM, ERP and databases, Knowledge of API usage and system integration, Experience with analytical and integration tools (Power BI, Excel, Power Platform or similar), Experience with AI tools (ChatGPT, no-code/low-code automations), Ability to design and implement AI-based process automations, Experience working in project environments with cross-functional teams 📃 Skills: Python, SQL, API, PowerBI, Excel, PowerPlatform, CRM, ERP, DMS, ChatGPT, Automation, Databases, AI 🏢 Description: Jesteśmy nowoczesnym dealerstwem samochodowym, które konsekwentnie rozwija swoje procesy w oparciu o dane i nowe technologie. Stawiamy na efektywność operacyjną, wysoką jakość obsługi klienta oraz realne wykorzystanie sztucznej inteligencji w biznesie. Zadania: rozwój i utrzymanie narzędzi do integracji i analizy danych, tworzenie raportów, dashboardów i analiz wspierających decyzje zarządcze, pobieranie, przetwarzanie i analiza danych z różnych źródeł (CRM, ERP, DMS, bazy danych), tworzenie API, identyfikacja obszarów w organizacji, które można usprawnić poprzez wykorzystanie AI, projektowanie i wdrażanie procesów opartych o narzędzia AI (automatyzacje, chatboty, analiza danych, generowanie treści), współpraca z działami sprzedaży, marketingu, serwisu i administracji/księgowości w celu optymalizacji ich pracy, analiza efektywności wdrożonych rozwiązań i ich ciągłe doskonalenie, tworzenie standardów i procedur wykorzystania AI w organizacji, współpraca w zespole z analitykiem biznesowym/project managerem przy realizacji projektów, raportowanie postępów i wyników bezpośrednio do Dyrektora IT, monitorowanie trendów rynkowych i rekomendowanie nowych rozwiązań. Wymagania: doświadczenie w programowaniu – junior/mid (Python, SQL, integracje systemów), doświadczenie w pobieraniu, łączeniu i analizie danych z różnych systemów (CRM, ERP, bazy danych), znajomość pracy z API oraz wiedza w zakresie integracji systemów, znajomość narzędzi analitycznych i integracyjnych (Power BI, Excel, Power Platform lub podobne rozwiązania), doświadczenie w pracy z narzędziami AI (ChatGPT, automatyzacje no-code/low-code),​ myślenie procesowe i optymalizacyjne, umiejętność łączenia technologii z realnymi potrzebami biznesu, samodzielność, inicjatywa i nastawienie na wdrażanie, umiejętność pracy w środowisku projektowym i współpracy z różnymi działami, komunikatywność i umiejętność tłumaczenia zagadnień technicznych na język biznesowy, mile widziane doświadczenie w branży automotive lub sprzedaży. Oferujemy: realny wpływ na rozwój organizacji i kierunek wdrożeń AI, przestrzeń do budowania i skalowania procesów w oparciu o dane i automatyzację, pracę w środowisku, gdzie AI jest narzędziem biznesowym, a nie tylko eksperymentem, dostęp do nowoczesnych narzędzi i przestrzeń do wdrażania własnych pomysłów elastyczną formę współpracy, atrakcyjne wynagrodzenie adekwatne do kompetencji, forma zatrudnienia/współpracy: UOP/B2B.

🏢 Summary: The offer is for a senior DevOps/Cloud Engineer to lead and support enterprise cloud migration initiatives in Azure, focusing on CI/CD automation, infrastructure as code, and secure, scalable cloud environments. The role involves managing Azure-based platforms, optimizing performance and security, and collaborating with cross-functional teams to modernize and support business-critical systems. It also includes working with hybrid cloud environments and leveraging AI-powered tools to enhance software delivery processes. 🗂️ Requirements: 5+ years in DevOps, Cloud Engineering, or Platform Engineering, Strong hands-on experience with Microsoft Azure in production environments, Experience building and maintaining Azure DevOps CI/CD pipelines (YAML), Hands-on experience with Azure App Services, WebJobs, and Azure Functions, Knowledge of Azure API Management, Application Gateway, and WAF, Experience with Terraform and Infrastructure as Code practices, Understanding of .NET application hosting environments (.NET 4.8–.NET 8+), Experience with hybrid or multi-cloud environments (Azure and AWS), Experience with secrets management and identity solutions, Experience in enterprise migration or modernization programs, English proficiency minimum B2, Work permit and residence in the European Union 📃 Skills: Azure, AzureDevOps, CI/CD, YAML, Terraform, .NET, APIM, WAF, AppServices, WebJobs, AzureFunctions, ApplicationGateway, KeyVault, ManagedIdentity, AWS, IaC 🏢 Description: 🟣 You will be: supporting and driving cloud migration initiatives across business-critical systems, designing, building, and maintaining CI/CD pipelines in Azure DevOps, managing and optimizing Azure-based infrastructure and application environments, automating infrastructure provisioning and configuration using Infrastructure as Code practices, collaborating with development and architecture teams to ensure reliable and scalable deployments, improving platform security, performance, and operational efficiency, supporting application services and cloud-native solutions throughout the software delivery lifecycle. 🟣 Your profile: 5+ years of experience in DevOps, Cloud Engineering, or Platform Engineering roles, strong hands-on experience with Microsoft Azure, including production-grade environments, proven experience building and maintaining Azure DevOps CI/CD pipelines (YAML-based), hands-on experience with Azure App Services, WebJobs, and Azure Functions, strong knowledge of Azure API Management (APIM), Application Gateway, and WAF, experience with Terraform (azurerm provider) and Infrastructure as Code practices, understanding of .NET-based application hosting environments (.NET 4.8–.NET 8+), experience working with hybrid or multi-cloud environments (Azure + AWS), familiarity with secrets management and identity solutions (Key Vault, Managed Identity), experience working in enterprise migration or modernisation programmes, strong analytical, troubleshooting, and problem-solving skills, good communication skills and ability to work in cross-functional teams, good command of English (min. B2), practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. 🟣 Nice to have: experience with AWS migration programmes (e.g. MAP or similar initiatives), familiarity with React, Node.js, or EventStoreDB in hybrid architectures, exposure to FinOps practices and cloud cost optimisation initiatives, experience integrating AI tools into engineering workflows (CI/CD, IaC, automation), experience with enterprise-scale policy governance (Azure Policy, guardrails), experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Work from the European Union region and a work permit are required 🟣 Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.

🏢 Summary: Senior MS Dynamics 365 F&O Developer responsible for full lifecycle implementations, custom X++ development, and complex system integrations within Azure. The role focuses on translating business requirements into scalable technical solutions and delivering high-quality deployments through testing and documentation. It involves advanced cloud integrations and data migration in enterprise environments. 🗂️ Requirements: 5+ years experience with Dynamics 365 F&O development, Strong hands-on experience with X++, Experience with Azure Integration Services, Proficiency with Logic Apps, Proficiency with API Management, Proficiency with Service Bus, Proficiency with Event Grid, Experience with complex data migration, Experience in full lifecycle D365 F&O implementations, Bachelor’s or Master’s degree in Computer Science or related field 📃 Skills: Dynamics365F&O, X++, Azure, LogicApps, APIManagement, ServiceBus, EventGrid, DataMigration, Integration, Testing, Documentation 🏢 Description: Key Responsibilities System Implementation: Actively participate in the full lifecycle of MS Dynamics 365 F&O (and legacy versions) deployments. Solution Development: Design and build bespoke customer functionalities using X++ , ensuring they align with technical best practices. Process Optimization: Translate complex business requirements into scalable technical features, bridging the gap between functional consultants and client needs. Quality Assurance: Execute standard project milestones, including rigorous testing (test cases), detailed technical analysis, and comprehensive documentation. Continuous Growth: Proactively expand your expertise within the Microsoft ecosystem to stay at the forefront of industry trends. Technical Requirements To excel in this role, you should possess: Experience: 5+ years of hands-on development experience in Microsoft Dynamics 365 F&O. Integration Expertise: Deep knowledge of integration patterns, specifically utilizing Azure Integration Services . Cloud Proficiency: Proven experience with Logic Apps (workflows), API Management , Service Bus , and Event Grid . Data Management: Practical experience in executing complex data migration strategies and system enhancements. Education: A Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Skills and Attributes for Success Communication: Fluency in English (written and verbal) is essential for effective collaboration in a global environment. Collaborative Mindset: A strong team player who thrives in a high-performance, multi-disciplinary team. Mobility: Readiness to travel for business assignments as required by project needs. Analytical Thinking: The ability to turn abstract business concepts into functional, high-performing system features.