Data Engineer (Azure)
12.6k - 21k PLN12 600 - 21 000 PLN/ mies.B2B
MidFull-time·B2B
#401171·Dodano 3 dni temu·2
Źródło: nofluffjobs.comTech Stack / Keywords
PythonSQLETLAzureData EngineeringCI/CDLLMRAGGenerative AI
Firma i stanowisko
Addepto is a leading AI consulting and data engineering company focusing on Artificial Intelligence and Big Data. It builds scalable, ROI-focused AI solutions for major enterprises and startups. The company has developed its own product - ContextClue - and contributes open-source solutions to the AI community. Addepto is part of KMS Technology, a US-based global technology group, combining AI specialization with enterprise-scale delivery capabilities.
Wymagania
- 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.
Nice to have:
- Experience with LLMs, RAG, chatbot development, or other AI-powered applications.
- Exposure to Full Stack development and working on product-oriented teams.
Obowiązki
- Design, build, and maintain scalable data pipelines and data processing solutions on Azure.
- Support the development of an AI-powered chatbot from a data engineering perspective.
- Develop backend components in Python to support AI products 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 as a Data Engineer.
- Ensure high code quality, performance, and reliability of data workflows and backend services.
Benefity
- Flexible work arrangements with options for remote work or in modern offices and coworking spaces.
- Career paths, knowledge-sharing initiatives, language classes, and sponsored trainings or conferences, including a partnership with Databricks.
- Team-building events and integration budget.
- Celebrations of work anniversaries, birthdays, and milestones.
- Access to medical and sports packages, eye care, psychotherapy, and coaching.
- Full work equipment including laptop and necessary devices.
- Opportunities to boost personal brand by speaking at conferences, writing blogs, or participating in meetups.
- Private healthcare.
- Multisport card.
- Referral bonus.
- MyBenefit cafeteria.
- International projects.
- Flat structure.
- Paid leave.
- Training budget.
- Language classes.
- Team building events.
- Small teams.
- Flexible form of employment.
- Flexible working hours and remote work possibility.
- Free coffee.
- Startup atmosphere.
- No dress code.
- In-house trainings.
Elastyczne godziny
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Addepto
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