Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузи резюме
описание
InPost provides parcel delivery services through a network of Automated Parcel Machines and pick-up drop-off points across nine European countries, as well as door-to-door courier and fulfilment services for e-commerce merchants. Its lockers offer consumers a cheaper, more flexible, convenient, environmentally friendly, and contactless delivery option.
задачи
Improve data quality and support system integrations and migrations in collaboration with HR, Finance, and business stakeholders across multiple countries
Build scalable data solutions that enable better decision-making
Solve complex data problems and turn fragmented, inconsistent datasets into reliable business insights
Identify root causes of data issues, challenge data assumptions, and propose practical solutions that drive business value
Advise non-technical stakeholders and communicate technical findings and recommendations
Create documentation, including data mappings, business rules, data dictionaries, and process documentation
требования
Strong hands-on experience with Databricks and Apache Spark in production environments
Advanced SQL and Python skills for processing, transforming, and analyzing large-scale datasets
Experience with complex, messy, incomplete, or inconsistent data 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
Strong analytical thinking, attention to detail, and a high standard for data accuracy
Understanding of GDPR and data privacy principles
Fluent Polish and English (C1+)
Proficiency in using AI tools and large language models, such as GitHub Copilot, ChatGPT, and Claude, to improve productivity, accelerate development, and solve complex problems
Ability to critically evaluate AI-generated outputs and apply them responsibly in professional workflows
Будет плюсом: practical experience with a global HRIS, experience building data solutions in cloud-based platforms, experience creating Power BI dashboards and semantic models, experience in international or multi-country environments, knowledge of process mining, process improvement, or business process optimization
условия
Flexible working model with remote options in Poland
.svg)
