Data Engineer - HR Support Project

**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](https://himalayas.app/companies/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.** **[InPost](https://himalayas.app/companies/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](https://himalayas.app/companies/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](https://himalayas.app/companies/inpost)’s lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option. Originally posted on [Himalayas](https://himalayas.app)