InPost

Role Description We're building a Cloud Center of Excellence that owns the cloud foundation for the entire engineering organization. You'll design the architecture, automation, and governance that other teams build on - not just deploy workloads, but define how workloads get deployed. If you think about infrastructure as a product and want real ownership over cloud strategy, this is that role. What You'll do: - Design and implement a cloud-native platform architecture on GCP - Build scalable guardrails for multi-team, multi-environment setups with compliance requirements - Create reusable infrastructure that enables self-service provisioning - Define cloud governance: IAM strategies, organizational policies, policy-as-code - Write design documents and represent technical divisions in cross-team and leadership forums Qualifications - Strong hands-on experience with GCP - Production Kubernetes experience - networking, security, tenancy, lifecycle management - Terraform at the module-authoring level, not just the consumer level - Solid networking fundamentals: VPC design, CIDR planning, DNS, hybrid connectivity - Experience working in compliance-driven environments (SOC2, PCI-DSS, or similar) - GitOps methodology and tooling - Observability stack experience (metrics, structured logging, tracing) - Clear technical communication - you can write a design doc and defend it Requirements - You think about infrastructure as a product with users, SLOs, and developer experience - You've designed cloud foundations for organizations, not just individual projects - You build patterns that scale and enable others, rather than solving things one-off - You know how to get buy-in across teams and navigate the human side of platform work - You raise the technical bar for the people around you Benefits - Remote role across Poland - Access to e-learning platforms - eTutor, GoodHabitz, Data Camp, and more - A wide range of benefits, including the MultiSport+ card, private healthcare, and group insurance, available on the Worksmile platform - External and internal growth opportunities - conferences, trainings, workshops - Chances to broaden your skill set and acquire new competencies through daily work, challenging projects, and training activities - B2B type of contract

Role Description We're building a Cloud Center of Excellence that owns the cloud foundation for the entire engineering organization. You'll design the architecture, automation, and governance that other teams build on - not just deploy workloads, but define how workloads get deployed. If you think about infrastructure as a product and want real ownership over cloud strategy, this is that role. What You'll do: - Design and implement a cloud-native platform architecture on GCP - Build scalable guardrails for multi-team, multi-environment setups with compliance requirements - Create reusable infrastructure that enables self-service provisioning - Define cloud governance: IAM strategies, organizational policies, policy-as-code - Write design documents and represent technical divisions in cross-team and leadership forums Qualifications - Strong hands-on experience with GCP - Production Kubernetes experience - networking, security, tenancy, lifecycle management - Terraform at the module-authoring level, not just the consumer level - Solid networking fundamentals: VPC design, CIDR planning, DNS, hybrid connectivity - Experience working in compliance-driven environments (SOC2, PCI-DSS, or similar) - GitOps methodology and tooling - Observability stack experience (metrics, structured logging, tracing) - Clear technical communication - you can write a design doc and defend it Requirements - You think about infrastructure as a product with users, SLOs, and developer experience - You've designed cloud foundations for organizations, not just individual projects - You build patterns that scale and enable others, rather than solving things one-off - You know how to get buy-in across teams and navigate the human side of platform work - You raise the technical bar for the people around you Benefits - Remote role across Poland - Access to e-learning platforms - eTutor, GoodHabitz, Data Camp, and more - A wide range of benefits, including the MultiSport+ card, private healthcare, and group insurance, available on the Worksmile platform - External and internal growth opportunities - conferences, trainings, workshops - Chances to broaden your skill set and acquire new competencies through daily work, challenging projects, and training activities - B2B type of contract

Role Description In this role, you will be responsible for delivering high‑quality data, insights, and analytics that empower managers to make accurate, data‑driven product, campaign, and operational decisions. You will help optimize processes—such as merchant onboarding and servicing within the Pay product—by identifying trends, anomalies, and risks to support more effective management of the area. Key Responsibilities - Power BI Reporting & Dashboard Management: Prepare, develop, and maintain Power BI reports (transactional and operational dashboards) to support effective decision‑making in product development, deployments, and marketing activities. - End‑to‑End Analytical Support: Conduct comprehensive analyses, interpret complex datasets, and present clear, concise conclusions and recommendations to internal and external stakeholders. - Trend & Anomaly Detection: Identify trends, patterns, deviations, and anomalies (e.g., campaign performance, transaction result outliers) and communicate findings to relevant teams for managerial action. - Data & Dashboard Optimization Activities: Participate in projects aimed at refining the maintenance, aggregation, and structuring of dashboards to improve efficiency and workspace organization within the Pay team. - Analytical Contribution to Business Cases: Support the development of business cases—including those requiring large or multi‑source datasets—for budgeting, financial planning, and strategic initiatives. - Business Analysis for Non‑Reported Areas: Perform business analyses for sales, product, growth, payments, or operational topics where no ongoing reporting exists or where data retrieval requires advanced database querying. - Coordination Between Data & Business Teams: Facilitate collaboration between Data and Business teams to streamline planning processes, enhance Data team understanding of business needs, and accelerate implementation timelines. Qualifications - Proven ability to work with large datasets, including advanced SQL skills, query optimization, and reporting process automation (including VBA). - Experience with Business Intelligence tools, especially Power BI (Power Query, DAX). - Basic programming knowledge in Python (including PySpark). - Strong working knowledge of Databricks or similar platforms. - Highly developed analytical thinking and problem‑solving mindset. - Ability to translate data into actionable insights and business‑oriented recommendations. - Skill in creating clear, logical, user‑friendly, and visually appealing data visualizations and reports. - Solid understanding of statistics and mathematics at a practical level. Benefits - The option to work from the office or 100% remotely. - Opportunity to work in a diverse, international and cross-functional environment, along with leading experts. - Fulfilling careers with a range of benefits and invests in providing training opportunities for their development. - Involvement in technology monitoring and choices. - Your impact will be visible instantly and you will be making a difference in our users' lives. - We offer B2B type of contract.

Role Description In this role, you will be responsible for delivering high‑quality data, insights, and analytics that empower managers to make accurate, data‑driven product, campaign, and operational decisions. You will help optimize processes—such as merchant onboarding and servicing within the Pay product—by identifying trends, anomalies, and risks to support more effective management of the area. Key Responsibilities - Power BI Reporting & Dashboard Management: Prepare, develop, and maintain Power BI reports (transactional and operational dashboards) to support effective decision‑making in product development, deployments, and marketing activities. - End‑to‑End Analytical Support: Conduct comprehensive analyses, interpret complex datasets, and present clear, concise conclusions and recommendations to internal and external stakeholders. - Trend & Anomaly Detection: Identify trends, patterns, deviations, and anomalies (e.g., campaign performance, transaction result outliers) and communicate findings to relevant teams for managerial action. - Data & Dashboard Optimization Activities: Participate in projects aimed at refining the maintenance, aggregation, and structuring of dashboards to improve efficiency and workspace organization within the Pay team. - Analytical Contribution to Business Cases: Support the development of business cases—including those requiring large or multi‑source datasets—for budgeting, financial planning, and strategic initiatives. - Business Analysis for Non‑Reported Areas: Perform business analyses for sales, product, growth, payments, or operational topics where no ongoing reporting exists or where data retrieval requires advanced database querying. - Coordination Between Data & Business Teams: Facilitate collaboration between Data and Business teams to streamline planning processes, enhance Data team understanding of business needs, and accelerate implementation timelines. Qualifications - Proven ability to work with large datasets, including advanced SQL skills, query optimization, and reporting process automation (including VBA). - Experience with Business Intelligence tools, especially Power BI (Power Query, DAX). - Basic programming knowledge in Python (including PySpark). - Strong working knowledge of Databricks or similar platforms. - Highly developed analytical thinking and problem‑solving mindset. - Ability to translate data into actionable insights and business‑oriented recommendations. - Skill in creating clear, logical, user‑friendly, and visually appealing data visualizations and reports. - Solid understanding of statistics and mathematics at a practical level. Benefits - The option to work from the office or 100% remotely. - Opportunity to work in a diverse, international and cross-functional environment, along with leading experts. - Fulfilling careers with a range of benefits for employees and invests in providing training opportunities for their development. - Involvement in technology monitoring and choices. - Your impact will be visible instantly and you will be making a difference in our users' lives. - We offer B2B type of contract.

Role Description We’re looking for a Data Engineer (HR Support) to work on group data review and alignment, supporting group-wide People & Culture (HR) data consistency, reporting, and systems (e.g. SAP SuccessFactors). This role will involve close cooperation with the Group HR Controller, country HR Heads, project teams, and multiple other technical and non-technical stakeholders. Qualifications - Understands and can align data types, structures and validations with business context, processes and needs - Has previous experience in at least one system migration project with responsibility for data - Can query and analyze large and varied datasets, spot inconsistencies and patterns, and formulate conclusions using SQL, Python, Databricks, PowerBI, Excel, and GenAI - Can design and implement data processes, monitoring and governance solutions - Demonstrates awareness of GDPR / data privacy regulations - Is able to work with and understands the sensitivity of HR personal data - Can document findings clearly, including data dictionaries, field mapping, playbooks and process write-ups - Communicates data findings and recommendations to non-technical stakeholders in a clear and structured way - Has strong analytical skills, complemented by attention to detail and a high standard for data accuracy - Proficient in Polish and English (C1 or higher) Requirements - Previous experience working with data across multiple countries or legal entities - Practical experience with a global HRIS (HR Information System) - Knowledge of process mining or data-driven process improvement and/or hands-on process redesign experience - Lean Six Sigma certification (Green Belt / Black Belt) or BPM - Experience in building Power BI dashboards and views Benefits - An international, cross‑functional environment with experienced engineering leaders. - The opportunity to work on products used by millions of users across Europe. - Real ownership and influence over teams, technical direction, and long‑term solutions. - Flexible working model with remote options in Poland. - A strong engineering culture focused on quality, collaboration, and impact. - We offer a B2B contract.

Role Description We are looking for a Product Manager to join the Merchant Services team within InPost's Consumer & Merchant Experiences domain. You will own a product end-to-end—from strategy and roadmap through to delivery and iteration, shaping the way merchants connect with and benefit from InPost's ecosystem. This is a high-ownership, high-impact role. You will define the product vision for your area, drive measurable outcomes, and work at the intersection of technology, business, and customer experience. If you are motivated by building at scale, obsessed with outcomes, and comfortable with ambiguity, this role is for you. - Shape the product vision and long-term strategy for Merchant Services, owning the full product lifecycle from ideation and discovery through delivery, optimisation, and end-of-life decisions. - Create and own a strategic product roadmap for cross-functional development teams, defining success metrics and holding yourself and the team accountable for measurable outcomes. - Lead teams to deliver business impact by launching and iteratively optimising products that improve user experience and generate scalable gains. - Partner deeply with stakeholders to understand their businesses and co-develop solutions that drive growth, improve marketing efficiency, and increase automation. - Build and lead a cross-functional team of engineers and internal partners to envision, build, and deliver products alongside your engineering counterpart. - Establish collaborative, trusting relationships with peers and manage senior stakeholders with support from your manager. - Leverage data to understand risks, impacts, scope, and priorities of business objectives, enabling the team to drive results and informed decision-making. - Apply AI tools and workflows to accelerate product discovery, documentation, prioritisation, and delivery processes, whilst identifying opportunities to integrate AI capabilities into product features to enhance merchant and user experiences. Qualifications - 2–3 years of experience building high-impact products in a fast-paced environment. - Passionate about scale, with a bias for outcomes and long-term value creation. - Deep understanding of business strategy and the ability to translate it into product decisions and metrics. - Ability to think and perform both tactically (delivery, unblocking, iteration) and strategically (vision, bets, roadmap). - Entrepreneurial mindset with a bias for action and the ability to thrive in ambiguity and rapidly changing environments. - Strong ability to multi-task and work effectively within a dynamic, cross-functional setup. - AI & Technology Fluency. - Working knowledge of AI/ML concepts and how they apply to product development, feature building, and user experience. - Experience using AI productivity tools (e.g. LLMs, copilots, automation platforms) to improve delivery speed, research quality, or documentation. - Ability to work with technical teams to scope, build, and iterate on AI-enhanced product capabilities. Requirements - Experience managing and influencing a global team of stakeholders in a matrix environment. - Background in logistics, e-commerce, marketplace, or merchant-facing products. - Familiarity with data platforms, APIs, and integration-heavy product environments. Benefits - Remote role across Poland. - Access to e-learning platforms - eTutor, GoodHabitz, Data Camp, and more. - A wide range of benefits, including the MultiSport+ card, private healthcare, and group insurance, available on the Worksmile platform. - External and internal growth opportunities - conferences, trainings, workshops. - Chances to broaden your skill set and acquire new competencies through daily work, challenging projects, and training activities. - B2B type of contract.

Role Description You’ll join the Forecasting Domain within our Data & AI division as a Junior Data Scientist. Our team predicts parcel volumes and operational demand across multiple European markets - forecasts that drive planning, capacity and decisions all the way up to C-level. This is a role built for someone at the start of their career: you’ll learn directly from experienced data scientists, contribute to real forecasting models from day one, and grow along a clear path from Junior toward Senior and beyond. We care more about how you think than how many years you’ve worked. Tech stack: Python (Pandas, NumPy, Scikit-learn), SQL & data warehouses, PySpark & distributed processing, Databricks, Cloud platforms (Azure / GCP / AWS). Working under the guidance of senior team members, you will: - Run end-to-end forecasting analyses on real business problems - from data preparation and feature engineering through to modelling and turning results into clear, actionable recommendations - Build and evaluate time series and machine learning forecasting models, validating them through rigorous testing and iterative improvement - Write clean, well-structured code and take part in code reviews to keep our standards high and share knowledge - Take ownership of your tasks: estimate your work, communicate progress, and flag issues early to deliver on time - Support the full lifecycle of our forecasting products, helping maintain models in production and contributing to handovers - Keep learning - deepening your technical foundations and forecasting expertise through on-the-job work and close collaboration with the team You’ll work day-to-day with data scientists, product leads, ML engineers, data engineers and business stakeholders, so clear communication matters as much as clean code. Qualifications - Higher education in progress or completed (Bachelor’s or Master’s) in computer science, statistics, mathematics, physics, econometrics or a related field - Around a year of first commercial / internship experience in data analysis or data science - or an equally strong record of documented academic, research or competition participation - Good knowledge of Python for data workflows (Pandas, NumPy, Scikit-learn) - Practical SQL skills for querying relational databases - Solid grounding in data cleaning, wrangling and exploratory data analysis (EDA), and a good understanding of basic statistics - Familiarity with core ML methodologies (regression, classification), including evaluation metrics and cross-validation - Ability to visualize and communicate insights clearly (e.g. Matplotlib, Plotly), with focus on storytelling and clarity - English at B2 level or higher - Proficiency in the use of LLM-Agentic technology in software development: Claude Code, Cursor, OpenAI Codex, etc. Requirements - A strong track record in data science / ML competitions (Kaggle and similar), olympiads or hackathons - Documented academic or personal projects in data analysis or machine learning — a thesis, research, publications or a solid github portfolio - Exposure to time series or forecasting methods (e.g. ARIMA / classical statistical models, gradient boosting, or modern forecasting approaches) - Familiarity with PySpark or other big-data tools - A basic understanding of cloud platforms (e.g. AWS, GCP, Azure) and simple data pipelines (Airflow, dbt) - Experience building dashboards and reports (Streamlit, Dash, Power BI) - Exposure to containerisation and experiment tracking (Docker, MLflow) - Reproducible-workflow habits: notebooks, Git, clean code and clear documentation Benefits - Remote role across Poland. - Access to e-learning platforms - eTutor, GoodHabitz, Data Camp, and more. - A wide range of benefits, including the MultiSport+ card, private healthcare, and group insurance, is available on the Worksmile platform. - External and internal growth opportunities - conferences, trainings, workshops. - Chances to broaden your skill set and acquire new competencies through daily work, challenging projects, and training activities. - B2B type of contract

Role Description At InPost, Data & AI is not a support function — it is the engine behind our decisions. We process billions of events daily across nine European markets, and our data platform is what makes that intelligence possible. As a Data Engineer in our Data & AI area, you will be one of the builders: designing the pipelines, streaming systems, and lake architectures that turn raw operational data into reliable, high-quality data products powering ML models, analytics, and business decisions. You will work in cross-functional squads alongside Data Scientists, Analytics Engineers, and Product Managers, shipping real data products — not internal tooling that no one sees. The scale is real, the data is complex, and the impact is immediate. Success looks like: - Data products that are trusted, fresh, and easy to consume - Pipelines that run reliably at scale with no manual intervention - A codebase that your colleagues are proud to contribute to Main Activities: - Data Platform & Lake Engineering: Design, build, and maintain scalable data lake solutions and processing pipelines handling large volumes of structured and semi-structured data. - Streaming Solutions: Build and operate real-time data streaming pipelines using Apache Kafka and its ecosystem (Kafka Streams, Kafka Connect). - ETL/ELT Design and Maintenance: Architect and maintain ETL and ELT pipelines with a focus on data quality, idempotency, and observability. - Spark and Databricks Development: Develop distributed data processing applications using Apache Spark (PySpark, Scala), running on Databricks. - Database Engineering: Design and manage both SQL and NoSQL databases used in our data products. - Cloud-Native Solutions: Build data solutions on cloud infrastructure (GCP, Azure, or AWS). - CI/CD and Engineering Excellence: Apply software engineering best practices to data pipelines. - Performance Monitoring and Optimisation: Own the operational health of the data infrastructure and ETL processes you build. - API and System Integration: Integrate data from internal and external sources via REST and SOAP APIs. - Knowledge Sharing and Community: Actively contribute to InPost's data engineering community. Qualifications - At least 3 years of experience in a Data Engineering or similar role - Hands-on experience with Apache Spark (Streaming, Spark SQL, MLlib) and Databricks (PySpark, Scala) - Practical experience with Apache Kafka — including Kafka Streams and Kafka Connect - Proficiency in Python; working knowledge of Scala or Java - Experience designing and operating SQL databases (e.g., PostgreSQL, BigQuery, Spark SQL) and NoSQL databases (e.g., MongoDB, Cassandra, or similar) - Experience building and maintaining data lake environments (Delta Lake, Parquet, or equivalent) - Familiarity with cloud platforms (GCP, Azure, or AWS) and their managed data services - Experience integrating data via REST and/or SOAP APIs - Working knowledge of CI/CD tooling (GitLab CI, Jenkins, or equivalent) and software engineering practices (testing, versioning, code review) - Experience building and running Docker containers - Willingness to share knowledge and actively contribute to engineering best practices - Professional working proficiency in both English and Polish Requirements - Experience in an international, multi-market environment - Exposure to ML pipeline engineering or feature store design - Familiarity with data orchestration tools (Apache Airflow, Prefect, or Databricks Workflows) - Experience with Infrastructure as Code (Terraform, Ansible) - Contributions to open-source data engineering projects Benefits - The option to work from the office or 100% remotely - Opportunity to work in a diverse, international and cross-functional environment, along with leading experts - Fulfilling careers with a range of benefits for employees and invests in providing training opportunities for their development - Involvement in technology monitoring and choices - Your impact will be visible instantly and you will be making a difference in our users' lives

Role Description We’re looking for an HR Data Analyst to work on group data review and alignment, supporting group-wide People & Culture (HR) data consistency, reporting, and systems (e.g. SAP SuccessFactors). This role will involve close cooperation with the Group HR Controller, country HR Heads, project teams, and multiple other technical and non-technical stakeholders. Qualifications - Must have: - Understands and can align data types, structures and validations with business context, processes and needs - Has previous experience in at least one system migration project with responsibility for data - Can query and analyze large and varied datasets, spot inconsistencies and patterns, and formulate conclusions using SQL, Python, Databricks, PowerBI, Excel, and GenAI - Can design and implement data processes, monitoring and governance solutions - Demonstrates awareness of GDPR / data privacy regulations - Is able to work with and understands the sensitivity of HR personal data - Can document findings clearly, including data dictionaries, field mapping, playbooks and process write-ups - Communicates data findings and recommendations to non-technical stakeholders in a clear and structured way - Has strong analytical skills, complemented by attention to detail and a high standard for data accuracy - Proficient in English (working language of the Group) – C1 or higher - Nice to have: - Previous experience working with data across multiple countries or legal entities - Practical experience with a global HRIS (HR Information System) - Knowledge of process mining or data-driven process improvement and/or hands-on process redesign experience - Lean Six Sigma certification (Green Belt / Black Belt) or BPM - Experience in building Power BI dashboards and views Benefits - An international, cross‑functional environment with experienced engineering leaders. - The opportunity to work on products used by millions of users across Europe. - Real ownership and influence over teams, technical direction, and long‑term solutions. - Flexible working model with remote options in Poland. - A strong engineering culture focused on quality, collaboration, and impact. - We offer a B2B contract.

Role Description We’re looking for an HR Data and Process Improvement Specialist to work on group data review and alignment, supporting group-wide People & Culture (HR) data consistency, reporting, and systems (e.g. SAP SuccessFactors). This role will involve close cooperation with the Group HR Controller, country HR Heads, project teams, and multiple other technical and non-technical stakeholders. Qualifications - Must have: - Understands and can align data types, structures and validations with business context, processes and needs - Has previous experience in at least one system migration project with responsibility for data - Can query and analyze large and varied datasets, spot inconsistencies and patterns, and formulate conclusions using SQL, Python, Databricks, PowerBI, Excel, and GenAI - Can design and implement data processes, monitoring and governance solutions - Demonstrates awareness of GDPR / data privacy regulations - Is able to work with and understands the sensitivity of HR personal data - Can document findings clearly, including data dictionaries, field mapping, playbooks and process write-ups - Communicates data findings and recommendations to non-technical stakeholders in a clear and structured way - Has strong analytical skills, complemented by attention to detail and a high standard for data accuracy - Proficient in English (working language of the Group) – C1 or higher - Nice to have: - Previous experience working with data across multiple countries or legal entities - Practical experience with a global HRIS (HR Information System) - Knowledge of process mining or data-driven process improvement and/or hands-on process redesign experience - Lean Six Sigma certification (Green Belt / Black Belt) or BPM - Experience in building Power BI dashboards and views Benefits - An international, cross‑functional environment with experienced engineering leaders. - The opportunity to work on products used by millions of users across Europe. - Real ownership and influence over teams, technical direction, and long‑term solutions. - Flexible working model with remote options in Poland. - A strong engineering culture focused on quality, collaboration, and impact. - We offer a B2B contract.