Data Engineer (Snowflake) — Remote/Hybrid, Global Data Platform

N-iX; United States; Hybrid; USD 90,000 - 150,000; Full time

Benefits offered by this job

Flexible working formats

Competitive salary

Mentorship program and tech talks

Active tech communities

Job summary

N-iX is seeking a Middle Data Engineer with Snowflake to design and implement scalable data pipelines for a global media data platform. You will work hands-on and collaborate with cross-functional teams to deliver reliable data products across markets.

Responsibilities include building ETL/ELT workflows, designing harmonised data models in Snowflake, and moving transformation logic to dbt, with CI/CD and security in mind. A strong background in Python and marketing data is essential.

Qualifications

• 2+ years of data engineering experience.
• Proficient in Python; dbt experience is a plus.
• Strong Snowflake and data modeling expertise.
• Experience with marketing/media data and ad-platform APIs.
• Security and governance in Snowflake (RBAC, masking, data sharing).

Responsibilities

• Build, maintain and optimise data pipelines for ingestion, transformation and delivery of media data.
• Design scalable data models for cross‑platform reporting in Snowflake.
• Lead migration of transformations to dbt and manage CI/CD.
• Collaborate with architects and product owners to translate designs into implementations.
• Enable data readiness for dashboards (Power BI) and analytics.

Skills

Python

dbt

Snowflake

SQL

REST API

Power BI

Azure

Data Modeling

Education

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

Tools

Snowflake

dbt

Adverity

Fivetran

Power BI

Azure

ADF (Azure Data Factory)

Job description

N-iX is seeking a Middle Data Engineer with Snowflake to design and implement scalable data pipelines for a global media data platform. You will work hands-on and collaborate with cross-functional teams to deliver reliable data products across markets.

Responsibilities include building ETL/ELT workflows, designing harmonised data models in Snowflake, and moving transformation logic to dbt, with CI/CD and security in mind. A strong background in Python and marketing data is essential.