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We’re looking for a seasoned Data Engineer to join our Data & Analytics Competence Center. This isn't just a 'maintenance' role - you’ll be a core developer for our Snowflake DWH and Data Lake, essentially holding the keys to our primary data storage. Your work will directly power our Supply Chain solutions and a variety of other high-impact business integrations. You’ll be working within a specialized team of experts, meaning you'll have plenty of support while also having the room to branch out into Big Data, Data Science, or Machine Learning as we evolve.
Job Responsibility:
Building & Scaling: Using IICS to design and manage ETL/ELT pipelines that don't just work, but scale
Integrating Everything: Pulling data from APIs, cloud platforms, and various databases into a cohesive Snowflake environment
Problem Solving: Tuning pipelines for peak performance and setting up the kind of monitoring and error-handling that lets you sleep at night
Collaborating: Working closely with business and analytics teams to make sure the data we deliver is actually what they need for high-level decision-making
Environment Ownership: Managing the full lifecycle across dev, test, and prod, while keeping our technical docs sharp.
Requirements:
At least 4 years of exp as a Data Engineer
You know IICS inside and out and consider yourself an SQL expert
You understand cloud ecosystems (AWS, Azure, or GCP) and know your way around data modeling and warehousing concepts
You are currently living in Poland and can communicate effectively in English.
Nice to have:
Experience with dbt or workflow tools like Airflow
A background in Informatica Cloud Application Integration (CAI)
Knowledge of Data Lakehouse architectures
Experience working in an Agile setup.
What we offer:
Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing