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Company Description 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) 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. Qualifications 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 Additional Information Why 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.