Senior Data Engineer

Project Overview

The project enhances a production Data Platform that provides business users with insights for data-driven investment decisions. Work includes delivering new features and projects for specific business data needs, along with ongoing architectural changes to improve usage efficiency.

Work Schedule

Work until 6:00 PM Polish time.

Position Overview

We are seeking a Senior Data Engineer with strong expertise in data modeling and ETL development using Snowflake. You will design and implement robust data models, build reliable ETL pipelines, and contribute to the evolution of the data warehouse.

Technology Stack

• Snowflake
• Azure
• dbt

Responsibilities

• Data modeling
• ETL pipeline development
• Data warehouse design and implementation

Requirements

• 5+ years of work experience in a data engineering role or 3–5 completed projects
• Experience with Snowflake, Python, Azure, ETL pipelines, dbt, and complex SQL queries
• Knowledge of data management fundamentals: data modeling, data quality, metadata management, data warehouse/lake patterns, and distributed systems
• Good spoken English

Nice to Have

• Financial or investment experience

What We Offer

• Up to 26 business vacation days per year
• 10 fully paid illness/special days off per year for all contract types; no medical papers needed
• Health and life insurance (Luxmed)
• MyBenefit platform with Multisport option
• Internal psychological support service
• English language classes from the first working day
• Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a broad catalog of internal training
• Flexible workplace: office, home, or hybrid work
• Tech Skills Mentoring Program
• Opportunities to develop as a public speaker, mentor, or technical interviewer
• Fully paid idle (bench) time when not involved in a project
• Certification reimbursement for AWS, GCP, Microsoft, and other certifications