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Data Engineer

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Onsite

Data Engineer

Medius

Data Engineer

Skills

SQL QueriesPythonSnowflakeDatabricksData AnalysisMachine LearningAIPySparkComplianceTerraformAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Kraków, Poland

Work mode:

Onsite

Published on:

22 September 2026

What they need


About Us At Medius, we believe managing finance should be about strategy, not stress. That same mindset shapes not only the solutions we build, but also the culture we create for our people. We remove complexity, embrace innovation, and give our teams the freedom to focus on what truly matters — whether that’s transforming the future of finance with AI or finding balance to go home on time.

Founded in Sweden in 2001, Medius has grown from a local startup into a global leader in cloud-based spend management solutions. Today, thousands of organizations worldwide trust us to simplify accounts payable and spend management processes. Our journey has been driven by continuous innovation, a passion for technology, and above all — the people who make it happen.

We’re more than a software company. We’re a team of problem-solvers, innovators and collaborators working together to reinvent the category of accounts payable. Our solutions use Artificial Intelligence to eliminate manual work, bring clarity, confidence, and control, and empower finance teams of the future.

At Medius, our values guide how we work and grow together:

  • Connect – We believe in the power of people—individually and collectively—and our success depends on understanding and respecting each other. We appreciate that ‘empowering finance teams of the future’ is an exciting endeavor, and we share it with everyone around us.
  • Question – We enjoy the challenge of our work and the thrill of collaboration. We are not afraid to question ourselves and each other because we believe diverse perspectives can lead to better outcomes and that there is great power in resolution.
  • Own – We are thorough, thoughtful, and decisive. We anticipate what’s next, what a customer might need, and then we deliver. That’s how we get things done. And that’s how we remain a leader. Customers trust us to do our job so that they can focus on what they do best.

At Medius, you’ll join a diverse, global community where curiosity is celebrated, ideas matter, and innovation never stops. If you’re passionate about technology, eager to make an impact, and ready to grow alongside a team that lives its values, Medius is where you can do your best work — your impact is global.

Learn more at www.medius.com

Job Overview Our products are strongest when they work as one. The Data Platform team builds the foundation under customer-facing features across the whole Medius suite. When a feature needs to know what's happening in more than one place, it comes through us.

Responsibilities And Duties

  • Build the pipelines behind customer features that span our products — plus the AI/ML, analytics and reporting that sit on top.
  • Design and maintain ETL/ELT pipelines and data processing on Azure Databricks.
  • Share ownership of the platform with the team: Terraform, IaC, DevOps, reliability, security, performance. Nobody owns all of it alone.
  • Shape our patterns and standards, and how data gets governed and kept accurate.
  • Help shape the backlog. Bring ideas, challenge assumptions, decide what we build next.
  • Spot what's missing and pick it up without waiting to be asked.

Qualifications

  • Python (PySpark) and strong SQL, used on large-scale datasets.
  • Hands-on ETL/ELT design in a lakehouse environment.
  • Comfort with infrastructure as code (Terraform) and DevOps work.
  • Solid data modeling and integration, with the discipline to keep data trustworthy.

Nice to have:

  • Apache Spark and Azure Databricks. We build on Databricks, so this is a real head start — but strong distributed-processing fundamentals and the appetite to master our stack will get you there, and we'll back you while you do.
  • Data mesh architecture.
  • Other modern data platforms or ETL tools — Microsoft Fabric, Snowflake, BigQuery.
  • AI/ML pipelines, analytics and reporting platforms.
  • Data governance, security and compliance.

Why join us:

  • Real influence over how a young platform gets built — the patterns you set will still be here in three years.
  • Deep, hands-on Databricks experience on a stack that's shaping how organizations do data and AI at scale.
  • A clear mission: our products feel like one product because of what this team builds.
  • Continuous learning in a people-first culture. Curiosity is the norm here, not a perk.

What We Offer:

  • Well-being perks: MyBenefit Program, Private Healthcare, Life Inssurance, B-Day Off, Training Budget
  • Fun & Connection: Summer & Winter Parties, Team Events

Medius Is Committed To Fair And Equitable Compensation Practices. The estimated base salary range for this role is 15,000 to 22,000 PLN gross per month , which represents a good-faith estimate of the compensation for this position.

Actual compensation depends on a few things: relevant skills, experience, qualifications, certifications, internal equity, and where the role is performed — pay can vary by location because the cost of labour does.

The total package may also include variable compensation (such as a performance bonus), benefits, and participation in other incentive or benefit plans, subject to the terms of those plans and your eligibility.

Medius is an equal opportunity employer .

We are committed to providing equal employment opportunities to all qualified applicants and employees, without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity or expression), national origin, ancestry, age, disability (physical or mental), genetic information, medical condition, marital status, citizenship or immigration status, military or veteran status, or any other characteristic protected by applicable federal, state, or local laws.

If you require a reasonable accommodation due to a disability or for religious reasons during the application or interview process, please review our accommodations process.

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