Senior Data & Analytics Specialist

Overview

ZINIO is looking for a Senior Data & Analytics Specialist in their Barcelona office.

Delivering innovative digital magazine content on every device in every country.”

ZINIO powers some of the largest digital content distributors in the market. Newsstands, retailers, media service providers, inflight entertainment and libraries – offering incremental revenue, auditable paid circulation, and valuable brand exposure for publishers worldwide.

ZINIO solves the logistical challenges of a complex digital ecosystem, delivering a wide array of content — including magazines, newspapers, feeds, audio, video — and unlocks new revenue and subscription opportunities for publishers from managed apps & newsstands through to fulfillment services, APIs & content readers.

Founded in 2001, ZINIO has established itself as a leading digital content distributor, having delivered over 750M digital magazine editions across more than 8,5k titles from 1.3k publishers in 200 countries to over 10M customers.

About Zinio’s Data & Analytics Team

We’re a close-knit, multidisciplinary team driving data-informed decisions across Zinio. With a lean structure, every member wears multiple hats—data engineering one day, data science the next, and exploring LLM-driven automation after that. If you thrive on variety and continuous learning, you’ll fit right in.

What you’ll do

• End-to-End Data Work : Design, develop and maintain ETL pipelines in Databricks (PySpark) using the Delta protocol.
• Analytics & Modeling : Build, train, and productionize ML models (scikit-learn, TensorFlow / PyTorch).
• Data Engineering : Containerize tasks (Docker, AWS Fargate); manage data storage & access in AWS (S3, EC2, Lambda, Athena, IAM).
• Automation & Orchestration : Schedule and monitor workflows with Apache Airflow.
• Data Retrieval & Integration : Pull data from RESTful APIs and AWS endpoints.
• Visualization & Insights : Craft dashboards and reports in Looker to inform stakeholders.
• Collaboration : Translate business requirements into technical solutions; present findings to cross-functional teams.
• AI / LLM Exploration : Prototype and integrate AI-driven tooling and LLM-based automations to streamline processes.
• Databricks Ecosystem : Leverage Unity Catalog, Databricks SQL, MLflow integration, and other components of the Databricks platform.

Skills & Experience

Nice-to-Have

Why you will love working with us

Benefits

We offer a competitive salary package and a flexible salary plan, including :

Additional benefits

If you are interested, please apply sending your CV in English with all data relevant to the position.

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