> Markdown version of [/jobs/ext/4204933-middle-data-engineer-with-snowflake](https://www.wearedevelopers.com/jobs/ext/4204933-middle-data-engineer-with-snowflake). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Middle Data Engineer with Snowflake - **Company:** N-iX - **Location:** Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Google AdWords, Microsoft Azure, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Retrieval, Data Sharing, Data Systems, Relational Databases, Database Queries, Google Analytics, Python (Programming Language), Raw Data, Role-Based Access Control, Power BI, SQL Databases, Web Analytics, Scripting, Snowflake, Core Api, Information Technology, Restful APIs, Data Pipelines - **Published:** October 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9eb45a2a6d30a816 ## About the Role * 2+ 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. ## Description * 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.