Data Warehouse Engineer (Warsaw) — Build Robust Data Pipelines

Software Mind; United States; Remote; USD 38,000 - 58,000; Full time

Benefits offered by this job

Experience with cloud data platforms

Collaborative data team

Job summary

Software Mind in Warsaw is seeking a Data Warehouse Engineer to design and maintain data warehouse schemas, models, and ETL/ELT pipelines within a Data Science and Engineering team.

You will ensure data quality and performance across environments, collaborate with data science and analytics stakeholders, and contribute to engineering standards and documentation. This role suits engineers who enjoy robust data modeling and scalable data integration in an IT services setting.

Qualifications

• Hands-on experience as a Data Warehouse Engineer or in a similar data engineering role.
• Proficiency with modern data warehousing tools, SQL, and pipeline orchestration.
• Understanding of data modeling approaches and best practices for analytics workloads.
• Based in or able to work from Warsaw, Poland, within an IT services data team.

Responsibilities

• Design, build, and maintain data warehouse schemas, models, and ETL/ELT pipelines.
• Ensure data quality, reliability, and performance across warehouse environments.
• Collaborate with data science and analytics stakeholders to support their data needs.
• Contribute to engineering standards and documentation within the data team.

Skills

Data engineering

Data modeling

ETL/ELT pipelines

Data quality

Cross-team collaboration

Tools

SQL

Pipeline orchestration

Data warehousing tools

Data warehouse platforms

Job description

Software Mind in Warsaw is seeking a Data Warehouse Engineer to design and maintain data warehouse schemas, models, and ETL/ELT pipelines within a Data Science and Engineering team.

You will ensure data quality and performance across environments, collaborate with data science and analytics stakeholders, and contribute to engineering standards and documentation. This role suits engineers who enjoy robust data modeling and scalable data integration in an IT services setting.