InPost Group

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 – InPost Pay

Android Engineer

• 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.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Senior Android Developer – InPost Pay

Backend Engineer

• Drive the technical architecture across the domain, with a focus on modernization, scalability and AI integration.
• Lead the design and implementation of microservices and cloud-native systems.
• Guide the transition from legacy systems to modern distributed systems.
• Collaborate with senior stakeholders (EMs, Staff and Principal Engineers, Directors) to align on technology direction.
• Champion engineering excellence, fostering a culture of autonomy, accountability, and quality.
• Provide mentorship and leadership across engineering teams.
• Integrate LLMs and other GenAI models into web applications through efficient API design and implementation.
• Build and optimize API endpoints enabling seamless, real-time communication between front-end applications and back-end AI services.
• Design and develop secure, scalable, and high-performing Java-based microservices for AI model deployment.
• Develop robust back-end systems in Java to support deployment, scalability, and ongoing maintenance of GenAI models.
• Build and maintain data pipelines, including preprocessing input data and post-processing model outputs for application use.
• Implement best practices for sensitive data handling and maintaining high model performance.
• Use Kubernetes and Docker for containerization and orchestration to ensure scalable deployment of AI applications.
• Implement CI/CD pipelines for automated testing and delivery of code changes.
• Maintain scalable and secure cloud infrastructure using platforms such as Google Cloud Platform or Azure for model training, storage, and deployment.
• Utilize vector databases (e.g., Pinecone, Weaviate, Faiss) for embedding management and similarity search.
• Work with frameworks supporting model development and deployment, including Hugging Face, LangChain, and OpenAI ecosystem tools.
• Optimize and fine-tune LLMs based on specific application needs.

AI Principal Software Engineer, Java

Data Analyst

• Prepare, develop, and maintain Power BI reports (transactional and operational dashboards) to support effective decision‑making in product development, deployments, and marketing activities.
• Conduct comprehensive analyses, interpret complex datasets, and present clear, concise conclusions and recommendations to internal and external stakeholders.
• Identify trends, patterns, deviations, and anomalies (e.g., campaign performance, transaction result outliers) and communicate findings to relevant teams for managerial action.
• Participate in projects aimed at refining the maintenance, aggregation, and structuring of dashboards to improve efficiency and workspace organization within the Pay team.
• Support the development of business cases—including those requiring large or multi‑source datasets—for budgeting, financial planning, and strategic initiatives.
• Perform business analyses for sales, product, growth, payments, or operational topics where no ongoing reporting exists or where data retrieval requires advanced database querying.
• Facilitate collaboration between Data and Business teams to streamline planning processes, enhance Data team understanding of business needs, and accelerate implementation timelines.

Analytics Engineer

• Projektowanie, implementacja i utrzymanie procesów ETL (SQL, PySpark) w środowisku Databricks zgodnie ze standardami zespołu.
• Integracja danych z różnych źródeł: systemów Customer Care, API, plików oraz baz danych.
• Automatyzacja procesów przetwarzania i ładowania danych w celu redukcji błędów i eliminacji prac manualnych.
• Zapewnienie jakości, spójności oraz dostępności danych zgodnie z polityką organizacyjną.
• Monitorowanie pipeline’ów oraz reagowanie na błędy, incydenty i problemy jakościowe.
• Optymalizacja zapytań, transformacji i struktur danych pod kątem wydajności.
• Tworzenie tabel, widoków i struktur danych wykorzystywanych przez zespoły analityczne oraz wizualizacyjne.
• Współpraca z zespołami Customer Care, Data Engineering, Data Visualization oraz Process Automation przy dostarczaniu danych do raportów i automatyzacji.
• Analiza semantyki danych biznesowych Customer Care i jej wpływu na KPI oraz raportowanie.
• Czynny/proaktywny udział w projektach data‑driven i inicjatywach optymalizacyjnych.
• Dokumentowanie procesów ETL oraz kluczowych zależności między danymi.
• Stosowanie standardów jakości danych oraz najlepszych praktyk ETL.

Data and Analytics Engineer

Designer

• projektowanie, rozwój i utrzymanie dashboardów oraz raportów w Power BI
• tworzenie i optymalizacja modeli danych (tabele faktów, wymiary, relacje, hierarchie)
• definiowanie miar i KPI z użyciem DAX zgodnie z uzgodnionymi standardami biznesowymi
• zapewnienie spójnej, czytelnej i ergonomicznej wizualizacji danych z uwzględnieniem zasad UX
• utrzymywanie słowników pojęć, definicji KPI i dokumentacji raportów
• współpraca z zespołami Data Engineering w zakresie jakości i struktury danych
• zbieranie i analiza wymagań raportowych od interesariuszy biznesowych
• testowanie raportów pod kątem poprawności danych, wydajności i logiki biznesowej
• rozwój i dostosowywanie istniejących raportów do zmieniających się potrzeb organizacji
• wsparcie użytkowników w interpretacji danych i korzystaniu z raportów
• wspieranie projektów automatyzacji procesów, w tym integracji raportów z Power Automate
• udział w inicjatywach data‑driven oraz projektach optymalizacyjnych w obszarze Customer Care

Data Visualisation Designer

• 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 – InPost Mobile app

• 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 Android Developer – InPost Mobile app

QA Engineer

• Develop and maintain automated test scripts using scripting/programming languages (e.g., TypeScript, Python, Java, JavaScript) and automation tools (e.g., Appium, REST Assured).
• Contribute to the design, development, and maintenance of test automation frameworks.
• Ensure scalability, maintainability, and reusability of test scripts.
• Integrate automated tests into the CI/CD pipeline, ensuring that tests are executed automatically as part of the build and deployment process.
• Designs and implements CI/CD pipeline integration strategies for automated testing.
• Implement data-driven testing approaches where applicable.
• Develop automated tests for complex scenarios including API, performance, security, and integration testing.
• Identify gaps in coverage and proactively address them.
• Analyze test results and generate reports on test execution and defect identification.
• Collaborate with development teams to resolve issues.
• Mentors and guides less experienced Software Engineers in Test.
• Provides technical guidance and support.
• Work closely with developers, manual QA testers, and other stakeholders to ensure effective communication and collaboration throughout the testing process.
• Continuous Improvement: Analyze test results and production incidents to improve test effectiveness.
• Evaluate and introduce new tools and technologies to enhance QA capabilities.

Senior QA Engineer – Mobile App

SDET

• Develop and maintain automated test scripts using scripting/programming languages (e.g., TypeScript , Python, Java, JavaScript) and automation tools (e.g., Appium , REST Assured ).
• Contribute to the design, development, and maintenance of test automation frameworks.
• Ensure scalability, maintainability, and reusability of test scripts.
• Integrate automated tests into the CI/CD pipeline, ensuring that tests are executed automatically as part of the build and deployment process.
• Designs and implements CI/CD pipeline integration strategies for automated testing.
• Implement data-driven testing approaches where applicable.
• Develop automated tests for complex scenarios including API, performance, security, and integration testing.
• Identify gaps in coverage and proactively address them.
• Analyze test results and generate reports on test execution and defect identification.
• Collaborate with development teams to resolve issues.
• Mentors and guides less experienced Software Engineers in Test.
• Provides technical guidance and support.
• Work closely with developers, manual QA testers, and other stakeholders to ensure effective communication and collaboration throughout the testing process.
• Continuous Improvement: Analyze test results and production incidents to improve test effectiveness.
• Evaluate and introduce new tools and technologies to enhance QA capabilities.

Senior Test Automation Engineer – Mobile App

People Operations

• Collaborate with Technology leaders to develop and implement People and Culture strategies that align with business objectives and drive employee engagement and productivity
• Act as a trusted advisor to Technology Leaders and employees, providing guidance and support on various HR matters, including performance management, talent development, employee relations, and organizational effectiveness
• Partner with Technology leaders to identify and address talent gaps, ensuring a strong pipeline of skilled professionals and effective succession planning
• Proactively analyse HR metrics and trends
• Provide insights and recommendations for continuous improvement
• Drive initiatives to enhance diversity, equity, and inclusion, fostering a culture of belonging and equal opportunities
• Provide coaching and mentorship to the Technology Leaders on effective people management practices, including performance feedback, career development, and employee recognition
• Stay current on industry trends and best practices related to Technology talent management, HR policies, and employment regulations
• Collaborate with cross-functional HR teams to ensure consistent delivery of HR programs and initiatives across the organization

People Business Partner

• 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

Data Analytics Consultant

• Building and managing policies for SAP system
• Managing the role and permission assignment process (including cyclical reviews)
• Providing a framework for system utilization in accordance with the company's audit, compliance, and security requirements
• Managing a GRC-class system within SAP
• Being in control of the change management process
• Working with external suppliers/integrators and consulting firms as well as quality control of services and the delivery process by external partners
• Participating in internal and external audits
• Collaborating with Project Managers and Product Owners of other core systems integrated with SAP components
• Ensuring all companies within the Group operate under the same SAP Governance framework

SAP Governance Manager

• Design, develop, and maintain scalable microservices on cloud platforms using Java (Spring Boot)
• Ensure the stability, security, and performance of the critical invoicing systems related to clients, PUDOs, and couriers
• Proactively identify areas for improvement within the system and introduce new features
• Collaborate with cross-functional teams to align business needs with technical solutions
• Participate in code reviews, mentoring, and knowledge-sharing activities within the team
• Assist with the ongoing migration from Java 11 to newer versions and other key technical upgrades and refactorings

Senior Java Engineer – MR Finance

• 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.