Senior Data Engineer with Snowflake

N-iX

Polska

Remote

PLN 180,000 - 240,000

Full time

36 hours ago
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Benefits offered by this job

Flexible working format
Competitive salary and benefits
Personalized career growth
Mentorship program and tech talks
Centers of excellence and education

Job summary

N-iX invites a Senior Data Engineer to join a team building a global Media Data Foundation. You will craft scalable data pipelines ingesting from multiple ad platforms, design elegant Snowflake data models, and lead dbt migrations with CI/CD.

You will collaborate with architects, product owners and market teams to deliver robust, secure data solutions that drive media reporting and ROI analytics. You will work across global teams, enabling Power BI dashboards, marketing mix analytics and

Qualifications

  • 4+ years of data engineering experience.
  • Hands-on with dbt and strong Python programming.
  • Proficiency in Snowflake and data modeling.
  • Experience with marketing/media data APIs and reporting.
  • Security and governance knowledge in Snowflake (RBAC, masking, data sharing).
  • Experience across multi-source data platforms and cloud environments.

Responsibilities

  • Build and maintain data pipelines for ingestion, transformation and delivery of media data.
  • Design and harmonise data models for cross-platform reporting in Snowflake.
  • Lead the move of transformation logic to dbt with orchestration, testing and CI/CD.
  • Collaborate with Solution Architects to translate designs into implementation plans.
  • Work with global teams and external partners to align data solutions with business needs.
  • Enable data readiness for dashboards (Power BI) and analytics.

Skills

Python programming
Data modeling
SQL
Problem solving
Collaboration

Education

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

Tools

dbt
Snowflake
Power BI
Azure
ETL tools (Fivetran, etc.)

Job description

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
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits
  • not applicable for freelancers
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