数据工程师 - 人力资源支持项目（男女不限）
Data Engineer - HR support project (m/f/n)
InPost 在波兰革新了电子商务包裹配送，并已成为欧洲领先的户外电子商务赋能平台之一。由 Rafał Brzoska 于 1999 年创立，InPost 通过我们覆盖九个欧洲国家的近 47,000 个自助包裹机（APM）和近 35,000 个自提点（PUDO），提供配送服务，同时还为电子商务商家提供门到门快递和履约服务。InPost 的包裹柜为消费者提供了更经济、灵活、便捷、环保且无接触的配送选择。
我们正在寻找一名数据工程师（人力资源支持），该职位需要热爱解决复杂的数据问题，并将碎片化、不一致的数据集转化为可靠的业务洞察。
在这一职位中，你将与分布在多个国家的人力资源、财务及业务相关方合作，提升数据质量，支持系统集成和迁移，并构建可扩展的解决方案以促进更好的决策。你将直接使用 Databricks、Spark、SQL 和 Python，同时作为非技术相关方的可信顾问。
此职位不涉及报告编制。我们希望找到一位能够将强大的技术能力与咨询思维相结合的人，能够质疑数据假设，识别数据问题的根本原因，并提出能创造业务价值的实际解决方案。
你将与集团人力资源主管、各国人力资源负责人、项目团队以及组织内多个技术和非技术相关方紧密合作。
必须具备：
· 在生产环境中具有 Databricks 和 Apache Spark 的实际操作经验
· 精通 SQL 和 Python，用于处理、转换和分析大规模数据集
· 具有处理复杂、混乱、不完整或不一致数据的经验，能够识别问题并推动数据质量改进
· 能够理解业务流程，并将业务需求转化为可扩展的数据解决方案
· 参与过数据迁移、集成或转换项目的实际经验
· 具有设计和实施数据验证、监控、治理和质量控制机制的实际经验
· 强大的相关方管理能力，能够向非技术受众清晰传达技术发现和建议
· 具有编写清晰文档的经验，包括数据映射、业务规则、数据字典和流程文档
· 强大的分析思维，同时注重细节
查看英文原文
InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 47,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost’s lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option.
We're looking for a Data Engineer (HR Support) who enjoys solving complex data problems and turning fragmented, inconsistent datasets into reliable business insights.
In this role, you'll partner with HR, Finance, and business stakeholders across multiple countries to improve data quality, support system integrations and migrations, and build scalable solutions that enable better decision-making. You'll work hands-on with Databricks, Spark, SQL, and Python while acting as a trusted advisor to non-technical stakeholders.
This is not a reporting-focused role. We're looking for someone who can combine strong technical expertise with a consultative mindset, challenge data assumptions, identify root causes of data issues, and propose practical solutions that drive business value.
You'll collaborate closely with the Group HR Controller, country HR Heads, project teams, and multiple technical and non-technical stakeholders across the organization.
Must have:
· Strong hands-on experience with Databricks and Apache Spark in production environments
· Advanced knowledge of SQL and Python for processing, transforming, and analyzing large-scale datasets
· Experience working with complex, messy, incomplete, or inconsistent data, identifying issues and driving data quality improvements
· Ability to understand business processes and translate business requirements into scalable data solutions
· Experience participating in data migration, integration, or transformation projects
· Practical experience designing and implementing data validation, monitoring, governance, and quality control mechanisms
· Strong stakeholder management skills and the ability to communicate technical findings and recommendations to non-technical audiences
· Experience creating clear documentation, including data mappings, business rules, data dictionaries, and process documentation
· Strong analytical thinking combined with attention to detail and a high standard for data accuracy
· Understanding of GDPR and data privacy principles
· Fluent Polish and English (C1+)
· Proficiency in leveraging AI tools and large language models (e.g., GitHub Copilot, ChatGPT, Claude) to enhance productivity, accelerate development, and solve complex problems.
· Ability to critically evaluate AI-generated outputs and apply them responsibly within professional workflows.
Nice to have:
· Practical experience with a global HRIS (HR Information System)
· Experience building data solutions in cloud-based platforms
· Experience creating Power BI dashboards and semantic models
· Experience working in international or multi-country environments
· Knowledge of process mining, process improvement, or business process optimization
Why InPost?
· 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.