Jobs at InPost

Deliver and maintain Power BI dashboards, perform end-to-end analyses, detect trends/anomalies, optimize data and dashboards, support business cases, conduct ad-hoc analyses requiring advanced queries, and coordinate between Data and Business teams to enable data-driven decisions.

Own end-to-end executive hiring for the Group, partnering with C-suite and country MDs. Lead SLT-level searches, design sourcing and assessment strategies, manage preferred supplier list, advise on compensation benchmarking and succession planning, use AI-assisted sourcing tools, and support onboarding of senior leaders.

Partner with product and business teams to design, develop and deploy ML and GenAI personalization solutions. Build end-to-end data products: data analysis, model development, integration, monitoring, and communicate insights to stakeholders.

Lead and raise quality across mobile and backend domains by designing native-first test strategies for iOS and Android, owning quality gates and flakiness control, mentoring SDETs, driving shift-left practices, co-creating domain quality metrics, and defining AI governance and AI-assisted testing workflows to manage risk and ROI.

Support group HR data alignment, consistency, and reporting across systems (e.g., SAP SuccessFactors). Analyze large datasets, lead data migration tasks, design data processes, monitoring and governance, document mappings and playbooks, ensure GDPR compliance and handle sensitive HR data, and communicate findings to technical and non-technical stakeholders.

Design, develop and maintain UiPath automations combined with AI/LLM integrations. Build scalable, testable components, integrate with SAP/ERP/CRM, SQL and web apps, implement robust error handling, document solutions, and contribute to CoE standards.

Lead a team maintaining and supporting Microsoft Dynamics 365 across markets: manage configuration, data quality, incident/change processes, SLAs, hypercare, vendor relations, dashboards, and cross-functional stakeholder collaboration during multi-country rollouts.

Lead product analytics for InPost Pay: own end-to-end data product delivery, design data architecture and pipelines, enforce data governance and quality, conduct complex analyses, coordinate BI visualisations, mentor analysts, and champion agile delivery and continuous improvement.

Administer and configure CRM platforms (HubSpot, Pipedrive, Dynamics 365); design automations and integrations; translate deployment workflows into CRM logic; ensure data quality; build dashboards and reports; gather cross-market requirements; maintain documentation and support onboarding and day-to-day CRM queries.

Lead product vision and roadmap for an AI shopping assistant, prioritize ML use cases, design validation experiments, own evaluation metrics and feedback loops, define consumer go-to-market, and drive cross-functional delivery with engineering and business teams.

Own Merchant Services product end-to-end: define vision and roadmap, lead cross-functional teams to deliver and iterate features, use data and AI tools to drive measurable outcomes, improve merchant experience, increase automation, and partner with stakeholders to scale business impact.

Design, build, and own high-performance Java microservices using Spring Boot and Kafka. Manage data schemas and optimisations in PostgreSQL, deploy to Docker/Kubernetes on GCP, enforce code quality and CI/CD, mentor engineers, collaborate with stakeholders, write system docs, address technical debt, and participate in architecture decisions.

Support stakeholders by analyzing large-scale, real-time data across marketing, logistics, sales and customer domains. Gather requirements, design data models and ETL/ELT processes, produce actionable insights and visualizations, write maintainable PySpark/Python and SQL code, collaborate with Data Engineers/Scientists, and prototype dashboards.

The role involves enhancing software quality through automation, mentoring teammates, and managing testing across complex systems. Responsibilities include improving test metrics, data-driven testing, and CI/CD integration.

Integrate and deploy LLMs/Generative AI into web applications by building APIs, backend Python systems, data pipelines, and scalable microservices. Use containerization (Docker, Kubernetes), cloud platforms, vector databases, and CI/CD to deliver secure, high-performance AI-powered features.

Lead design and implementation of scalable microservices for an e-commerce platform, provide technical leadership across domains, mentor teams, participate in architecture and code reviews, and collaborate with stakeholders to align technical solutions with business needs.

Lead and coordinate complex, multi‑domain technology programs by aligning teams, setting measurable goals, managing risks, enabling predictability, and introducing automation/AI to improve delivery and outcomes.

Join the Operations Data Science Team to design algorithms and solve logistics optimization problems, impacting delivery efficiency and customer experience.

As a Senior iOS Engineer, design and maintain scalable iOS applications using Swift, focusing on performance, user experience, and modern architectures. Engage in code reviews, collaborate with teams, and utilize AI tools for efficiency.

The role involves redesigning processes for AI implementation, conducting analyses, and managing change throughout the entire process cycle, aiming to enhance business KPIs.