InPost Group

Backend Engineer

• Design, implementation and testing of high-performance microservices in Java using state-of-the-art methods and technologies.
• Have your share of ownership of incidents and issues tracking, as well as proposing improvements to the current applications.
• Advocate an engineering culture of quality , good development principles and innovation from inside your team.
• Contribute with the creation and maintenance of technical documentation , including System Design and RFC documents.
• Collaborate with testers and other peers , and be willing to mentor team members when necessary.

Senior Java Engineer

Data Engineer

• Creating a strategy for designing the architecture and implementation process of a global data model
• Defining and overseeing the data naming strategy and ensuring consistent application across the InPost Group
• Collaboration at various levels to identify and prioritize data initiatives
• Staying at the forefront of data architecture trends and technologies
• Training and mentoring of data engineering and data consulting teams on data modeling approaches
• Creating comprehensive, multi-layered technical documentation

Data Architect

• Design, implementation, and development for SAP Vendor Invoice Management (VIM) systems.
• Analysis, optimization, and legal documentation related to AP (Accounts Payable).
• Installation and testing of the SAP VIM system and integration with other SAP modules (FI, MM).
• Preparation of implementation and final solutions for the client, user training, and final training.
• Collaboration with design and application teams on both functional and application aspects.
• Cooperation with business teams to identify needs and customize systems.
• End-user support in terms of application usage.
• Building AI-oriented functionalities.

SAP PTP VIM Consultant

Full-stack Engineer

• Ensure the performance, quality, and responsiveness of applications.
• Refactor existing code to improve its design while working in an agile environment.
• Demonstrate extensive mobile DevOps experience by designing, implementing, and maintaining robust CI/CD pipelines, automating build and deployment processes, and optimizing infrastructure for mobile applications across on-premises and cloud environments.
• Develop high-quality, test-covered code and participate in team decisions to build scalable and maintainable apps.
• Participate in code reviews to ensure code quality, best practices, and standards are followed.
• Document technical specifications, installation procedures, and other relevant information for applications.

Senior Software Engineer, iOS

Frontend Engineer

• Designing architecture in collaboration with the team.
• Designing and developing global user interfaces.
• Building, testing, and maintaining high-performance microservices in Spring Boot.
• Being an advocate for an engineering culture of quality.
• Maintaining quality and up-to-date documentation of the systems you own.
• Collaborating with peers in other engineering teams.

Senior Frontend Engineer, React, Next.js

Business Intelligence Developer

• Uzgadnianie wymagań, tworzenie, modyfikacja i utrzymywanie raportów w PowerBI.
• Projektowanie warstwy wizualnej oraz UX/UI dla raportów w Power BI, tworzenie i utrzymywanie modeli danych.
• Integracja i transformacja danych z różnych źródeł, przygotowywanie danych pod dashboardy.
• Zaawansowana analiza dużych zbiorów danych (za pomocą Python/SQL ) w Databricks.
• Tworzenie i utrzymywanie spójnej dokumentacji modeli i raportów , przepływów i aplikacji w Confluence.
• Współpraca z właścicielami biznesowymi obszarów w zakresie odpowiadania na ich potrzeby raportowe.
• Automatyzacja raportowania w Databricks oraz tworzenie interaktywnych raportów dla stakeholderów produktowych.
• Określenie dostępności danych w naszym data lakehouse oraz identyfikacja lub definiowanie. niezbędnych struktur danych - współpraca z działem Data.
• Odpowiedzialność za jakość dostarczanych rozwiązań.

Data BI Analyst

Data Scientist

• Partner with our product and business teams to understand their needs and translate them into data science solutions and actionable insights.
• Lead the full lifecycle of data science initiatives and advise on solution design.
• Develop and implement advanced data science solutions (including ML models, AI products and optimisation frameworks).
• Collaborate closely with cross-functional teams to ensure the seamless integration of data-driven initiatives.
• Stay ahead of the curve by exploring cutting-edge methods and keeping up to date with new trends in data science and AI.
• Communicate insights and recommendations to management, business teams and other members of the data community.

Senior Data Scientist

Software Engineer

• Ensure the performance, quality, and responsiveness of applications
• Refactoring existing code to improve its design, working in an agile environment.
• Develop test-covered code at a high quality and take part in team decisions to build scalable and maintainable apps.
• Participate in code reviews to ensure code quality, best practices, and standards are followed.
• Document technical specifications, installation procedures, and other relevant information for applications.

Senior iOS Developer

Data Analyst

• Closely support stakeholders in making data-driven decisions
• Work with different InPost departments and business lines
• Gather requirements, harness large-scale, real-time data from various sources, analyze it and, prepare insights and recommendation about business critical areas and processes
• Design, develop, and extend our data model layers that support optimized and scalable calculations
• Craft code that meets our internal standards for style, maintainability, and best practices
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions

Senior Big Data Analyst

Engineering Manager

• Lead and manage 3 or 4 teams of multi-disciplinary engineers that are working with AI technologies (Python, Llangsmith, Evals stack, OpenAI, Gemini, Databricks, etc.), providing mentoring, guidance, and support.
• Drive innovation and continuous improvement in application system design, architecture, and development processes, leveraging the latest technologies and tools to improve product functionality and customer experience.
• Create new best practices and processes for building products with AI-Native technologies -CI/CD with Evals, test-sets, Search subsystems etc.
• Work closely with product managers and other stakeholders to define product requirements, develop project plans, and ensure timely delivery of new features and enhancements.
• Choose and implement best-in-class open source and paid tools for ai-native software -including MCP Servers, A2A communications, CI/CD pipelines and workflows and definitions of agents.
• Manage teams that develop new AI native workflows: implement streaming, long-running tasks, procedural UX, etc. for new AI tasks, finding the balance between state-of-the-art and pragmatism.
• Manage the hiring, onboarding, and development of team members, ensure a diverse and inclusive workplace.
• Communicate effectively with internal and external stakeholders.

Senior AI Engineering Manager

Product Manager

• Lead the development and evolution of products in the Data & AI domain
• Manage product roadmaps and backlogs, ensuring smooth planning and on-time delivery through close collaboration with engineering, data science, and business stakeholders
• Identify opportunities where data or AI can bring measurable business value, define hypotheses, and coordinate experiments or Proofs of Concept to validate them
• Develop and implement effective Go-To-Market strategies for our products
• Continuously improve product quality and efficiency by leveraging user feedback, data analytics, and usage insights
• Drive the adoption and integration of data and AI solutions across the organization.

Data Product Manager

Consultant

• Closely support stakeholders in making data-driven decisions.
• Work with different InPost departments and business lines.
• Gather requirements, harness large-scale, real-time data from various sources, analyze it and, prepare insights and recommendation about business critical areas and processes.
• Design, develop, and extend our data model layers that support optimized and scalable calculations and visualizations of successful analytics outcomes.
• Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment.
• Maintain and advocate for these standards through code reviews.
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions.
• Prototype and coordinate data visualizations.

Senior Data Consultant

• Independent management of multiple projects implementing innovative solutions, ensuring their alignment with the company’s assumptions and objectives
• Analysis of business requirements and market trends
• Defining project scope and objectives
• Preparing business cases and managing the project team, schedule, budget, and risks
• Coordinating implementations and technologies within projects
• Developing, maintaining, and updating project documentation
• Supporting collaborating project teams (including teams from other countries) in ongoing challenges and change (project) management
• Creating business recommendations and managing the development process of B2B and B2C sales offerings – from concept to implementation, including initiating offer modifications and collaborating with business and IT stakeholders
• Verifying solution accuracy and overseeing testing and acceptance

Product Owner – International Sales

DevOps Engineer

• Automate and optimize deployment processes
• Manage CI/CD pipelines
• Actively participate in cloud migration projects
• Implement and drive initiatives, contributing to continuous, high-quality improvements
• Troubleshooting DevOps processes
• Documenting processes.

Senior DevOps Engineer

• Model Integration & API Development: Integrate LLMs and other GenAI models into web applications through efficient API design and implementation.
• Build and optimize API endpoints to allow seamless, real-time interaction between front-end applications and back-end AI models.
• Design and develop secure, scalable, and high-performing microservices for AI model deployment.
• Front-End Development: Design and develop responsive and intuitive front-end applications using React.js to enhance the user experience of AI-powered applications.
• Implement front-end components to visualize, interpret, and manage AI model outputs effectively.
• Back-End Development & AI Pipelines: Develop robust back-end systems in Python to support the deployment, scalability, and maintenance of GenAI models.
• Build and maintain data pipelines, including preprocessing data and post-processing AI model outputs for consumption by applications.
• Implement best practices for handling sensitive data and maintaining model performance.
• Infrastructure & Deployment: Use Kubernetes and Docker for containerization and orchestration to ensure scalable deployment and management of AI applications.
• Implement continuous integration and continuous deployment (CI/CD) pipelines for automated testing and deployment of code changes.
• Maintain a scalable and secure cloud infrastructure, leveraging platforms such as Google Cloud Platform, or Azure for model training, storage, and deployment.
• LLM and GenAI Ecosystem Expertise: Utilize vector databases (e.g., Pinecone, Weaviate, or Faiss) to manage and retrieve embeddings for efficient similarity search and recommendation systems.
• Work with frameworks for model development and deployment, including Hugging Face Transformers, LangChain, and OpenAI.
• Optimize and fine-tune LLMs to improve performance based on application needs.