Praca w miastach:Praca IT Warszawa•Praca IT Kraków•Praca IT Wrocław•Praca IT Szczecin•Praca IT Poznań•Praca IT Lublin•Praca IT Katowice•Praca IT Bydgoszcz•Praca IT Łódź•Praca IT Białystok•Praca IT Toruń•Praca IT Gdańsk
Stanowiska:Grafik komputerowy praca•Tester gier praca•Programista praca•Tester oprogramowania praca•Frontend Developer praca•Data scientist praca•Tester manualny praca•Tester praca•Analytics praca•Tester aplikacji praca•Programista java praca•Web developer praca
Technologie i narzędzia:Python praca•Cyberbezpieczeństwo praca•Java praca•Bazy danych praca•Cisco praca•C++ praca•Javascript praca•SQL praca•Business Intelligence praca•Delphi praca•Wordpress praca•Testowanie aplikacji praca•C# praca•PHP praca
Specjalizacje:Backend praca•Devops praca•Frontend praca•Full-stack praca•GameDev praca•Mobile praca•Embedded praca•Architecture praca•QA/Testing praca•Security praca•AI/ML praca•Big data science praca•Helpdesk praca•IT admin praca•Agile praca•Product Management praca•Project Management praca•UX/UI praca•Business analytics praca•SAP & ERP praca•System analytics praca•PO/PM praca•Scrum master praca•Analityka praca•Data analytics & BI praca
Offer summary
(Summary generated by AI based on the full job description)
The project focuses on developing an AI-powered chatbot using LLM and RAG on Microsoft Azure. Key requirements include Python, building and maintaining data pipelines on Azure, knowledge of ETL/ELT and SQL. Responsibilities cover designing scalable data solutions, backend development, supporting AI data integrations, deploying and optimizing cloud services, and collaborating with AI and Full Stack teams. Benefits include medical care, training budget, flexible working hours, and professional growth support.
from: 4 August 2026
to: 3 September 2026
12 600 - 21 000 złnet (+ VAT)/ mth.B2B contract (full-time)
salary not specifiedcontract of mandate
Offer parameters
level:mid
working mode:remote • hybrid • full office
Wrocław, Stare Miasto
Requirements
Expected technologies
Python
SQL
Microsoft Azure
ETL/ELT
CI/CD
Data Engineering
Optional technologies
LLM
RAG
Generative AI
Databricks
Operating system
Windows
macOS
Our requirements
- 3+ years of commercial experience as a Data Engineer.
- Strong proficiency in Python.
- Hands-on experience with Microsoft Azure and cloud-based data solutions.
- Solid understanding of data engineering concepts, ETL/ELT, and data pipeline development.
- Experience working with SQL and large-scale data processing.
- Experience with CI/CD, application deployment, and cloud infrastructure in Azure.
- Familiarity with Git and modern software development practices.
Optional
- Experience with LLMs, RAG, chatbot development, or other AI-powered applications.
- Exposure to Full Stack development and working on product-oriented teams.
Your responsibilities
- Design, build, and maintain scalable data pipelines and data processing solutions on Azure.
- Support the development of our AI-powered chatbot from a data engineering perspective, enabling reliable data flows and integrations.
- Develop backend components in Python to support our AI product and collaborate on features leveraging LLMs and RAG.
- Deploy, maintain, and optimize data services and applications in Azure, working with cloud infrastructure and CI/CD pipelines.
- Work closely with AI Engineers and Full Stack Developers on our product, contributing primarily as a Data Engineer.
- Ensure high code quality, performance, and reliability of data workflows and backend services.
About the project
As a Data Engineer, you will play a key role in the development of our AI-powered chatbot. Working primarily from a data engineering perspective, you will build and maintain Azure-based data pipelines, backend services, and integrations that power LLM- and RAG-based capabilities.
This is how we organize our work
This is how we work
in houseyou can change the projectyou have influence on the choice of tools and technologiesyou have influence on the technological solutions appliedyou have influence on the productyou develop the code "from scratch"you focus on product developmentagilescrum
Team members
technical leaderbig data developerdata scientistproject manager
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 partnerships with Databricks and Anthropic, which offer industry-leading training materials and certifications.
- 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.
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
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
- 1.Let's get to know each other (45 min)
- 2.Technical Interview (1 h)
- 3.Management Interview (1 h)
Addepto
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's 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 company's 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.
Data Engineer (Azure Data Factory)
12.6k–21k zł / mth. (B2B)
I apply to:
Addepto
Wrocław, Stare Miasto
Pracodawca zbiera zgłoszenia przez swój system.
Przejdziesz na zewnętrzny formularz.
By clicking "Aplikuj" you confirm that you've read and accepted our Terms and Conditions.
This is how the employer processes your data
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: [email protected].
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Need more information?
- Make sure the body of the offer doesn’t already include what you’re looking for.
- Ask a question if you need more information you’re interested in.
- We’ll forward your question to the employer and aim to provide a response within 3 business days.