Data Engineer – HR Support Project

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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

• 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 • Work hands-on with Databricks, Spark, SQL, and Python while acting as a trusted advisor to non-technical stakeholders • 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 • Collaborate closely with the Group HR Controller, country HR Heads, project teams, and multiple technical and non-technical stakeholders across the organization.

🎯 Requirements

• 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.

🏖️ Benefits

• Flexible working model with remote options in Poland • Strong engineering culture focused on quality, collaboration, and impact