Data Engineer: Snowflake, dbt & AI Data Pipelines

LanceSoft Europe; Polska; On-site; PLN 100,000 - 145,000; Full time

Job summary

LanceSoft Europe is seeking a Data Engineer to join the Data Management Engineering team. You will design and maintain scalable data architectures, and build automated pipelines while establishing robust data management practices to ensure assets are performant, secure, and durable.

We require a Bachelor's degree in a related field and at least three years of professional experience in data engineering, with strong Python and SQL skills, and hands-on use of Snowflake and dbt for data modeling.

Qualifications

• Bachelor's degree in a related technical field is required.
• 3+ years of professional experience in data engineering.
• Strong programming skills in Python and advanced SQL.
• Experience with Snowflake and dbt for data modeling.
• Understanding of version control, CI/CD, modern pipeline orchestration, and data quality frameworks.
• Experience integrating AI capabilities into data workflows and familiarity with cloud infrastructure preferred.

Responsibilities

• Design and maintain scalable data architectures and automated pipelines.
• Establish robust data management practices to ensure assets are performant, secure, and durable.
• Work on enterprise data foundation and production-grade data products.
• Collaborate with team to implement data governance and quality frameworks.
• Apply AI capabilities to data workflows and optimize cloud infrastructure usage.

Skills

Python

SQL

Data modeling

Data pipelines

AI in data workflows

Cloud infrastructure

Education

Bachelor's degree in a related technical field

Tools

Snowflake

dbt

Git

CI/CD

Airflow

Job description

LanceSoft Europe is seeking a Data Engineer to join the Data Management Engineering team. You will design and maintain scalable data architectures, and build automated pipelines while establishing robust data management practices to ensure assets are performant, secure, and durable.

We require a Bachelor's degree in a related field and at least three years of professional experience in data engineering, with strong Python and SQL skills, and hands-on use of Snowflake and dbt for data modeling.