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Salary
$63k – $101k per year (Estimated)
Location
Remote (Poland)
Employment
Full-Time
Overview
Company
Impact
Profile match
InPost is a leading European logistics company and out-of-home delivery provider best known for its extensive network of Automated Parcel Machines (APMs) and pick-up/drop-off points. The company offers last-mile parcel delivery, courier services, and efficient returns handling tailored for major e-commerce merchants and individual shoppers. By combining modern automated infrastructure with a mobile application, it delivers a convenient, flexible, and eco-friendly alternative to traditional door-to-door delivery.

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.

Job 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.

Must have:

  • Understands andcan 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 andanalyze 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)

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

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