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Junior Data Engineer (Azure Data Factory) Miejsce pracy: Poznań Technologies we use Expected Python SQL Microsoft Azure Azure Data Factory ETL/ELT CI/CD Microsoft Power BI Optional dbt Operating system Windows macOS About the project As a Junior Data Engineer, you will have the opportunity to support and further develop an Azure-based data integration solution built primarily around Azure Data Factory (ADF). The current environment includes Azure Functions and ingestion components, but daily delivery is strongly centered on ADF pipeline design, orchestration, monitoring, and continuous improvement. The project focuses on expanding and stabilizing the existing data platform, including the warehouse layer (Azure SQL Database or Synapse), optional dbt-based transformations, and occasional Power BI reporting support. You will work closely with the client-side Product Owner and Architect, proactively aligning business needs with technical implementation decisions and ensuring high-quality, scalable solutions. Additionally, you will contribute to Azure DevOps CI/CD pipelines and release processes to maintain reliable deployments across environments. Your responsibilities Design, develop, and maintain Azure Data Factory pipelines, including orchestration, parameterization, and trigger management. Configure and manage linked services and datasets within ADF. Monitor, troubleshoot, and optimize ADF pipelines to ensure performance and reliability. Develop and maintain ETL/ELT processes and support the evolution of the data warehouse layer (Azure SQL Database or Synapse). Translate business requirements into technical solutions in close collaboration with the Product Owner and Architect. Develop and maintain Python-based components (e.g., Azure Functions, API integrations, automation scripts). Contribute to CI/CD processes in Azure DevOps, including pipelines, releases, and environment promotion. Support occasional Power BI reporting and dashboarding needs. Ensure proactive communication, stakeholder alignment, and visibility of risks and impacts. Take ownership of assigned tasks and actively contribute to continuous platform improvement. Our requirements At least 2 years of hands-on experience with Azure Data Factory (must-have), including: pipeline and orchestration design, linked services, datasets, triggers, and parameterization, operational monitoring, troubleshooting, and performance tuning, and deployment-aware ADF development in enterprise environments. Excellent knowledge of Python (Azure Functions, REST APIs, automation). Strong SQL skills and solid understanding of data modeling for ETL/ELT and warehouse workloads. Experience with CI/CD processes in Azure DevOps (pipelines, releases, multi-environment deployments). Solid understanding of Azure services and cloud-based data solutions (e.g., Azure SQL Database, Azure Key Vault). Experience with Power BI for occasional dashboarding and reporting. Experience working with modern development practices and tools. Consulting mindset with proactive communication and strong stakeholder alignment skills. Ability to effectively collaborate with Product Owner and Architect during planning and delivery. Independent and responsible approach to delivering high-quality solutions. Excellent command of English (at least C1 level). Optional Knowledge of dbt. Experience implementing data warehouses on Azure. This is how we organize our work This is how we work in house you can change the project you have influence on the choice of tools and technologies you have influence on the technological solutions applied you have influence on the product you develop the code "from scratch" you focus on product development agile scrum Team members technical leader big data developer data scientist project manager Development opportunities we offer assistance in preparation to public speeches conferences abroad conferences in Poland development budget external training industry-specific e-learning platforms intracompany training soft skills training substantive support from technological leaders support of IT events technical knowledge exchange within the company time for development of your ideas What we offer Work in a supportive team of passionate enthusiasts of AI & Big Data. Engage with top-tier global enterprises and cutting-edge startups on international projects. Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces. Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications. Choose your preferred form of cooperation - B2B or a contract of mandate - and enjoy 20 fully paid days off. Participate in team-building events and utilize the integration budget. Celebrate work anniversaries, birthdays, and milestones. Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching. Get full work equipment for optimal productivity, including a laptop and other necessary devices. With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups. Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture. Benefits sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses remote work opportunities flexible working time fruits integration events no dress code video games at work coffee / tea drinks christmas gifts birthday celebration employee referral program Reimbursement for prescription glasses or contact lenses Recruitment stages Lets get to know each other (45 min) Technical Interview (1 h) Management Interview (1 h) Addepto Addepto is a leading AI consulting ( and data engineering ( company that builds scalable, ROI-focused AI solutions for some of the worlds largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. The companys work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide. As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale. Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez ADDEPTO sp. z o.o. z siedzibą w: Świeradowska 47, 02-662 Warszawa (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu. Twoje dane osobowe będą przetwarzane w oparciu o następujące podstawy prawne: (a) aby podjąć działania na Twoje żądanie przed zawarciem umowy (np. informacje o oczekiwanym wynagrodzeniu i dostępności do rozpoczęcia pracy); (b) w oparciu o nasz prawnie uzasadniony interes (np. imię, nazwisko, data urodzenia, dane kontaktowe, wykształcenie, kwalifikacje zawodowe, przebieg dotychczasowego zatrudnienia); c) w oparciu o Twoją zgodę, która wyrażona jest poprzez przeslanie dokumentów aplikacyjnych zawierających takie informacje jak np. wizerunek czy zainteresowania.Podanie wszystkich danych osobowych, o których mowa powyżej jest dobrowolne, natomiast dane wymienione w lit. a) i b) są niezbędne do wzięcia udziału w rekrutacji. Niepodanie danych skutkuje brakiem możliwości rozpatrzenia kandydatury. Podanie pozostałych danych jest dobrowolne, ale może pomóc w sprawnym przeprowadzeniu procesu rekrutacji.Masz prawo żądać dostępu do Twoich danych (w tym uzyskania ich kopii), sprostowania danych, ich usunięcia, ograniczenia przetwarzania, przeniesienia, jak również wniesienia sprzeciwu wobec ich przetwarzania. Masz także prawo wniesienia skargi do Prezesa Urzędu Ochrony Danych Osobowych.Twoje dane osobowe mogą zostać przekazane dostawcom usługi publikacji ogłoszeń o pracę, dostawcom systemów do zarządzania rekrutacjami, dostawcom usług IT (hosting), dostawcom systemów informatycznych.Podane przez Ciebie dane osobowe nie będą wykorzystywane w celu profilowania albo podejmowania decyzji w sposób zautomatyzowany.Twoje dane osobowe będą przetwarzane przez okres maks. 1 roku od zakończenia publikacji ogłoszenia, chyba, że wyraziłeś odrębną zgodę na wykorzystanie Twoich danych osobowych w przyszłych rekrutacjach.W celu realizacji praw lub w przypadku jakichkolwiek pytań związanych z przetwarzaniem Twoich danych osobowych skontaktuj się z nami pod adresem: hr@addepto.com.