Data Engineer
We’re looking for an experienced Data Engineer to join our dynamic and international tech team. You'll be designing and building modern data platforms and pipelines from scratch for the movie industry — not maintaining legacy systems. Think greenfield projects, high-impact data solutions, and cutting-edge cloud technologies 🙌🏼
As part of our tight-knit, multicultural team, you'll develop data products that power analytics, AI, and business intelligence for thousands of professionals worldwide, contributing directly to the evolution of a globally recognized brand 🤞🏽
This is your chance to shape data architecture, build reliable and scalable pipelines, and collaborate closely with top talents from product, analytics, and engineering.
WHAT YOU'LL DO 👨🏼💻
Data Engineering & Development
Design and maintain scalable ETL/ELT pipelines for analytics, AI, and operational systems.
Architect and evolve cloud-native data lakes and warehouses (Snowflake, BigQuery, Redshift, Databricks).
Optimize ingestion, transformation, and storage for performance and cost efficiency.
Implement monitoring, observability, and data quality frameworks.
Collaboration & Delivery
Partner with data scientists, analysts, and BI developers to deliver reliable datasets.
Work with software engineers to integrate data flows into core products and services.
Contribute to Agile ceremonies to deliver high-quality, timely features.
Innovation & Growth
Stay ahead of modern data engineering trends and tools.
Propose improvements for scalability, performance, and reliability.
Troubleshoot, debug, and fine-tune pipelines for seamless data flow.
WHAT WE'RE LOOKING FOR 👇🏼
3+ years (mid) or 5+ years (senior) in software/data engineering
Strong coding skills in Python, Java, or Scala
Advanced SQL with a strong understanding of relational databases
Hands-on experience with cloud data platforms (Snowflake preferred, or BigQuery, Redshift, Databricks)
Familiarity with ETL/ELT and orchestration tools (Airflow, DBT, Luigi, Dagster)
Knowledge of data modeling (dimensional, star/snowflake schemas)
Strong communicator and collaborator across geographies and cultures
Problem solver with a customer-first mindset
Thrive in a fast-paced environment with attention to detail and quality
NICE TO HAVE 🚀
Experience with real-time data streaming (Kafka, Kinesis, Flink, Spark Streaming)
Exposure to data governance, lineage, and cataloging
Knowledge of DevOps and containerization (Docker, Kubernetes, CI/CD)
WHY YOU'LL LOVE WORKING WITH US 🙋♀️
Be part of greenfield product development — your input matters from day one
No legacy code — full ownership of new features
Join a fast-paced, international team that’s supportive, creative, and full of energy
Collaborate on products for a high-profile global brand
Benefit from a startup culture with the stability of an established company
Enjoy flexible remote-first work with occasional team meetups in Kraków
Real growth potential — as the product scales, so does your impact
DETAILS 💊
English-speaking environment
Hybrid model - 2 days from the office in Krakow, and 3 days remotely
Contract: B2B
Competitive compensation based on experience
We’re hiring for attitude and mindset — not just a tech stack.
Data Engineer
Data Engineer
Pawia, Kraków
CQUE