Data Engineer (Azure Data Factory) w Poland, Poznań

Data Engineer (Azure Data Factory)

Miejsce pracy: Poznań

Technologies we use

Expected

• Python
• SQL
• Microsoft Azure
• ETL/ELT
• CI/CD
• Data Engineering

Optional

• LLM
• RAG
• Generative AI
• Databricks

Operating system

• Windows
• macOS

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 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

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.

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.

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

• Let's get to know each other (45 min)
• Technical Interview (1 h)
• Management Interview (1 h)

Important:

Addepto may publish job opportunities on external job boards, but all applications are collected and processed through our official recruitment system: Recruitee

Please make sure that any further recruitment communication you receive comes from an official Addepto recruitment channel. If you receive a job offer, interview invitation, or recruitment email from an unofficial or unverified source, please be cautious, as it may not come from Addepto.

Addepto

Addepto is a leading AI consulting ( and data engineering ( 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.

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