Senior Data Engineer with Snowflake

N-iX; United States; Hybrid; USD 40,000 - 80,000; Full time

Benefits offered by this job

Flexible working formats

Mentorship program

Tech talks and trainings

Excellence centers and knowledge分享

Job summary

N-iX is seeking a Senior Data Engineer to shape and build a global Media Data Foundation. You will own hands-on data engineering, delivering harmonised data models in Snowflake and driving dbt-based transformations, while collaborating with architects, product owners and market teams.

You will work with data from Meta, Google Ads, DV360, TikTok and more to deliver reliable reporting, ROI analytics and governance across regions. A strong background in data modeling, SQL and Python is required.

Qualifications

• Bachelor's or Master's degree in a related field (Data Science, CS, Economics).
• 4+ years of data engineering experience with hands-on Python and dbt.
• Strong Snowflake expertise and data modelling skills.
• Experience with marketing/advertising data sources and APIs.
• Knowledge of RBAC, secure views, data sharing, masking, and governance in Snowflake.
• Experience with ETL/ELT and data integration tools (Adverity, Fivetran or similar).
• SQL proficiency and scalable data retrieval for analytics.
• Experience with BI tools (Power BI) and reporting support.
• Familiarity with Azure or GCP; cloud data platform experience.
• Ability to work in global teams and communicate with stakeholders.

Responsibilities

• Hands-on development: build and maintain data pipelines for ingestion and delivery of media data across platforms.
• Design scalable data models and harmonised data structures for cross‑platform reporting in Snowflake.
• Lead transformation logic migration to dbt, including orchestration, testing and CI/CD.
• Collaborate with Solution Architects to translate designs into implementation plans.
• Enable data readiness for dashboards, marketing mix analytics and taxonomy governance.
• Implement data quality monitoring, alerting and governance across pipelines.

Skills

dbt

Python

Snowflake

Data Modeling

SQL

REST API

Power BI

ETL/ELT

Azure

GCP

Education

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

Tools

Azure

GCP

Fivetran

Power BI

ADF

Job description

Senior Data Engineer with Snowflake (#5936)

Europe, Ukraine

Work type:

Office/Remote

Technical Level:

Senior

Job Category:

Software Development

Project:

Fortune 100 multinational conglomerate

Join an exciting journey to build and scale a global Media Data Foundation for a leading global organization based in Europe. This platform brings together paid media, digital analytics and marketing performance data from dozens of advertising and measurement platforms. It unlocks reliable media reporting, marketing ROI measurement and data-driven investment decisions across markets.

As a Senior Data Engineer, you will play a pivotal role in shaping and implementing the platform's architecture. The focus is on hands‑on technical execution and collaboration with cross‑functional teams.

Your work will turn raw media and marketing data into trusted, harmonised data products used by marketing, media and analytics teams around the world. You will use modern tools to solve complex challenges, working alongside skilled architects, engineers and business stakeholders.

Key Responsibilities:

• Hands‑On Development: Build, maintain and optimize data pipelines for ingestion, transformation and delivery of media data (Meta, Google Ads, DV360, TikTok, The Trade Desk, GA4, CM360 and others).
• Create and implement scalable solutions to handle many data sources, frequent API and schema changes, and high volumes of data.
• Data Modeling & Warehousing: Design and maintain efficient, harmonised data models for cross‑platform media reporting in Snowflake.
• Lead the move of transformation logic to dbt, including orchestration, testing, documentation and CI/CD.
• Collaboration: Partner with Solution Architects to translate high‑level designs into detailed implementation plans.
• Work closely with Technical Product Owners, media agencies and market teams to align data solutions with business needs.
• Platform Development: Enable data readiness for media dashboards (Power BI), marketing mix modelling / ROI analytics and campaign taxonomy governance.
• Implement robust frameworks to monitor data freshness, completeness, quality and pipeline performance, with automated alerting.
• Security & Compliance: Implement robust access controls and data protection across the pipeline and for data shared with internal and external consumers.
• Ensure compliance with data privacy regulations (e.g. GDPR, CCPA) and internal data governance policies (data product tiers, tagging, naming standards).
• Monitor and address potential vulnerabilities, including service account and secret management, ensuring the platform follows security best practices.

Requirements:

• 4+ years of experience showing technical expertise and critical thinking in data engineering.
• Hands‑on experience with dbt and strong Python programming skills.
• Proficiency in Snowflake and strong expertise in data modeling are essential.
• Demonstrated experience with marketing, media or advertising data (ad platform APIs, campaign hierarchies, web analytics) is required.
• In‑depth understanding of security and governance in Snowflake: RBAC, secure views, data sharing, masking and row access policies, object tagging.
• Ability to design, implement and promote solution patterns and standards for complex, multi‑source data platforms.
• Familiarity with multiple cloud platforms (Azure or GCP preferred, with a focus on Azure, including ADF).
• Experience with ETL/ELT and data integration tools (Adverity, Fivetran or similar) and batch orchestration.
• Competence in SQL, relational database design and efficient methods for data retrieval and preparation at scale.
• Proven ability to collect and process raw data at scale, including scripting, REST API integration and SQL querying.
• Experience with BI tools (Power BI preferred) and supporting reporting consumers.
• Experience working in global environments and collaborating with virtual teams and external agencies.
• A Bachelor's or Master's degree in Data Science, Computer Science, Economics or a related discipline.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing

Project: Global biopharmaceutical company