Data Engineer – HR Support

Job not on LinkedIn

🕒 July 15

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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InPost Group

WebsiteLinkedInAll Job Openings

10,000+ employees

🛍️ eCommerce

🚗 Transport

📦 Logistics

eCommerce • Transport • Logistics

InPost Group is Europe's leading e-commerce enablement platform, specializing in out-of-home delivery services. Founded in 1999 by CEO Rafal Brzoska, InPost provides cost-effective and environmentally friendly delivery solutions through a robust network of Automated Parcel Machines (APMs) and courier services. The company also offers pick-up drop-off (PUDO) services, enhancing convenience and efficiency for e-commerce merchants across Europe. InPost is committed to sustainability, reducing carbon emissions significantly in its delivery processes. With operations in countries like Poland, France, Benelux, the UK, and Italy, InPost continues to expand its innovative technology solutions to drive long-term growth in the e-commerce sector.

📋 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

🎯 Requirements

• 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 Polish and English (C1 or higher)

🏖️ Benefits

• Flexible working model with remote options in Poland • A strong engineering culture focused on quality, collaboration, and impact • Real ownership and influence over teams, technical direction, and long-term solutions • Opportunity to work on products used by millions of users across Europe