AI-Driven Data Engineer for Marketing Analytics

Powerdigitalmarketing; España; Presencial; EUR 55.000 - 90.000; Jornada completa

Descripción de la vacante

Power Digital seeks an analytics engineer to own end-to-end data pipelines across marketing platforms, modeling, and data marts powering BI and AI initiatives. You will work on ingestion, processing, and semantic layers, collaborating with Client Service, BI, Tagging & Tracking, Data Ops, and product/engineering teams.

You should have 3+ years in data/analytics engineering, strong Python/SQL, expert dbt, Snowflake, and cloud experience (GCP). Experience with multi-tenant data and CI/CD is a plus.

Formación

• 3+ years in data or analytics engineering, including 1+ years owning a dbt project in production.
• Advanced proficiency in Python and SQL for production-grade data pipelines and modeling.
• Deep expertise in dbt: incremental strategies, full-refresh tradeoffs, tests, and materializations.
• Strong command of Snowflake and cloud data stack to operate autonomously as a foundational data owner.
• Experience modeling in a multi-tenant environment with client vs core data layers.
• Working knowledge of marketing datasets, UTMs, attribution windows, and warehouse reporting.
• Proven ability to design and manage end-to-end data lifecycles from ingestion to serving for BI/AI.
• Familiarity with cloud-native infrastructure (GCP) and IaC principles.
• Adoption of AI-agentic development workflows for coding, debugging, and architecture.

Responsabilidades

• Design, build, and maintain the core data foundation (ingestion, modeling, and data marts).
• Own workflow from raw platform data through serving layers supporting agency, client, internal, and AI consumers.
• Build robust ingestion that adapts to API changes, deprecated fields, rate limits, and retroactive restatement of data.
• Model across sources to ensure reconciled numbers across multiple platforms and client data sources.
• Collaborate with nova product/engineering, AI/innovation, and client teams to translate requirements into data solutions.
• Monitor data quality and optimize pipelines for cost and performance in a multi-client warehouse.

Conocimientos

Data engineering

Python

SQL

End-to-end data pipelines

Data modeling

Multi-tenant data

AI-ready data

CI/CD

Git

Analytics engineering

Herramientas

dbt

Snowflake

GCP

Git

Descripción del empleo

Power Digital seeks an analytics engineer to own end-to-end data pipelines across marketing platforms, modeling, and data marts powering BI and AI initiatives. You will work on ingestion, processing, and semantic layers, collaborating with Client Service, BI, Tagging & Tracking, Data Ops, and product/engineering teams.

You should have 3+ years in data/analytics engineering, strong Python/SQL, expert dbt, Snowflake, and cloud experience (GCP). Experience with multi-tenant data and CI/CD is a plus.