Remote Data Engineer (Snowflake) for Global Media Platform

N-iX; Polska; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Flexible working format

Competitive salary and compensation

Career growth and mentorship

Education reimbursement

Tech talks and trainings

Job summary

N-iX is seeking a Middle Data Engineer to join a global team building a Media Data Foundation. You will transform raw media and marketing data into harmonised data products used by marketing, media and analytics teams worldwide.

You will work hands-on on data pipelines, data models in Snowflake, and move transformation logic to dbt, ensuring data freshness and governance across platforms.

Qualifications

• 2+ years of experience in data engineering and hands-on technical execution.
• Strong Python programming skills and dbt experience preferred.
• Proficiency in Snowflake and data modeling is essential.
• Experience with marketing, media or advertising data APIs and hierarchies.

Responsibilities

• Build, maintain and optimize data pipelines for ingestion, transformation and delivery of media data from multiple sources.
• Design and maintain harmonised data models for cross-platform media reporting in Snowflake.
• Lead the move of transformation logic to dbt with orchestration, testing and CI/CD.
• Collaborate with Solution Architects and Product Owners to translate designs into implementation.
• Ensure data readiness for dashboards (Power BI) and analytics including governance.

Skills

Python programming

SQL querying

REST API integration

Data modeling

Education

Bachelor's or Master's in Data Science/CS/Economics

Tools

Snowflake

dbt

Adverity

Fivetran

Power BI

Azure

GCP

Azure Data Factory

Job description

N-iX is seeking a Middle Data Engineer to join a global team building a Media Data Foundation. You will transform raw media and marketing data into harmonised data products used by marketing, media and analytics teams worldwide.

You will work hands-on on data pipelines, data models in Snowflake, and move transformation logic to dbt, ensuring data freshness and governance across platforms.