Senior Data Engineer
Summary
Senior Data Engineer builds and optimizes Snowflake-based data models and ETL pipelines for a New York investment firm’s analytics platform, using dbt and Azure.
Client
Our client is a huge investment company headquartered in New York City.
Project overview
The primary objective of this exciting project is to enhance the functionality of a cutting-edge Data Platform, empowering business users with the insights they need to make data-driven investment decisions. The Data Platform is already in production, and we are developing new features and projects tailored to specific business data-driven needs as well as introducing ongoing architectural changes to increase usage efficiency.
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. In this role, you will be responsible for designing and implementing robust data models, building reliable ETL pipelines, and contributing 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, distributed systems)
Good spoken English
Nice to have
Financial, Investment experience
What We Offer:
Vacation days: Up to 26 business days per year.
10 illness/special days off per year (fully paid, no medical papers needed) for all contract types
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 wide catalog of diverse internal training
Flexible workplace: work from the office, from home, or choose a hybrid option
Tech Skills Mentoring Program
Opportunities to develop as a public speaker, mentor, or technical interviewer
Fully paid idle (bench) when not involved in a project
Certification reimbursement (AWS, GCP, Microsoft, etc.)