Data Engineer

Medius Poland Sp. z o.o; Kraków; On-site; PLN 180,000 - 260,000; Full time

Job summary

Medius Poland Sp. z o.o. w Krakowie poszukuje specjalisty ds. danych, który będzie projektować i utrzymywać potoki ETL/ELT w środowisku lakehouse oraz pracować z Pythonem (PySpark) i SQL na dużych zestawach danych.

Do zadań należy design IaC (Terraform), DevOps i zapewnianie jakości danych, a także współpraca nad architekturą danych i bezpieczeństwem.

Qualifications

• Doświadczenie w projektowaniu potoków ETL/ELT w środowisku lakehouse.
• Praktyczna znajomość Pythona, PySparka i SQL w pracy z dużymi zestawami danych.
• Znajomość IaC (Terraform) i praktyk DevOps, w tym dbanie o jakość danych i bezpieczeństwo.

Responsibilities

• Budowa potoków danych za funkcjami produktowymi, łączących dane z różnych obszarów.
• Projektowanie i utrzymanie ETL/ELT w Azure Databricks.
• Wspólne zarządzanie platformą IaC, DevOps, niezawodnością, bezpieczeństwem i wydajnością.
• Kształtowanie wzorców, standardów i sposobu governowania danych.
• Wkład w backlog, proponowanie rozwiązań i priorytetów rozwoju.
• Wykrywanie braków i inicjowanie prac bez konieczności prośby.

Skills

Python

PySpark

SQL

ETL/ELT design

Data modeling

DevOps

Tools

Terraform

Azure Databricks

Databricks

Apache Spark

Microsoft Fabric

Snowflake

BigQuery

Job description

Nasze wymagania:

• 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.

Mile widziane:

• 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.

O projekcie:

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.

Zakres obowiązków:

• 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.

Oferujemy:

• 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.