JustJoin.IT Praca zdalna Senior New

👉 Azure Data Enginer

Xebia sp. z o.o.

⚲ Warszawa, Wrocław, Gdańsk

20 000 - 33 000 PLN netto (B2B)

Wymagania

  • Azure
  • Python
  • Databricks

Opis stanowiska

🟣 You will be: • developing and maintaining data ingestion pipelines from source systems to the raw data layer, • onboarding new data sources into the data platform, • contributing to the ongoing development and improvement of the Azure-based data platform, • supporting and enhancing monitoring and orchestration of data workflows, • participating in daily activities as a fully embedded member of the client’s internal data team, • assisting with knowledge transfer from outgoing engineers to ensure a smooth transition, • proactively identifying opportunities to improve reliability, performance, and maintainability of data pipelines. 🟣 Your profile: • strong hands-on experience with Azure data platforms, including data ingestion, storage, and processing. • solid understanding of data pipeline design, development, and maintenance, • practical experience with ETL / ELT processes and data integration patterns, • experience with Databricks, • experience working with monitoring and orchestration of data workflows, • ability to work independently within an existing team and take ownership of assigned tasks, • very good communication skills in English, • familiarity with cloud-native data architecture principles, • experience supporting production data platforms with a focus on stability and operational excellence, • ability to ramp up quickly in an existing environment with minimal disruption, • 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: • previous experience in banking or financial services, • exposure to regulated environments and data governance practices, • experience working in distributed or nearshore teams, • experience participating in or supporting knowledge transfer and transition phases, • 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 Call – Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: • development budget of up to 6,800 PLN, • we fund certifications e.g.: AWS, Azure, ISTQB, PSM, • access to Udemy, Safari Books Online and more, • events and technology conferences, • technology Guilds, • internal training, • Xebia Library, • Xebia Upskill. 🩺 We take care of your health: • private medical healthcare, • multiSport card - we subsidise a MultiSport card, • mental Health Support. 🤸‍♂️ We are flexible: • flexible working hours, • B2B or permanent contract, • contract for an indefinite period.

🔍 Dekoder Ogłoszenia

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fully embedded member of the client’s internal data team
Możesz zostać poproszony o wykonywanie zadań wykraczających poza typowe obowiązki inżyniera danych, włączając w to wsparcie operacyjne czy nawet podstawowe zadania administracyjne.
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assisting with knowledge transfer from outgoing engineers to ensure a smooth transition
Oczekuje się, że będziesz musiał szybko przejąć obowiązki po osobach odchodzących, co może oznaczać pracę z niepełną dokumentacją lub w pośpiechu.
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ability to ramp up quickly in an existing environment with minimal disruption
Oczekuje się, że będziesz w stanie natychmiast zacząć efektywnie pracować, bez potrzeby długiego wdrożenia i z minimalnym wpływem na bieżące projekty.
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proactively identifying opportunities to improve reliability, performance, and maintainability of data pipelines
Oprócz bieżących zadań, będziesz odpowiedzialny za ciągłe doskonalenie istniejących rozwiązań, co może oznaczać dodatkowe, nieplanowane prace.
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practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor)
Firma aktywnie promuje wykorzystanie narzędzi AI, co może oznaczać, że oczekuje się od Ciebie szybszego tworzenia kodu i rozwiązywania problemów przy ich pomocy, a niekoniecznie głębokiego zrozumienia podstaw.