Senior Data & Analytics Specialist

Financecolombia; Barcelona; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading digital content distributor in Barcelona is looking for a Senior Data & Analytics Specialist to design and maintain ETL pipelines, build ML models, and create insightful dashboards. Ideal candidates should be proficient in Python, PySpark, and have strong AWS skills. The role offers a competitive salary, health insurance, and opportunities for continuous learning in a multicultural environment.

Servicios

Health Insurance Program

Meal, Public Transportation Card & Nursery

Training budget for teams

Office in Barcelona with great views

Team-building activities

Free access to digital content

Formación

• Expert in data wrangling, ML libraries, and AWS SDKs.
• Hands-on with Databricks for large-scale ETL and Delta Lake.
• Comfort with core AWS services and best practices.

Responsabilidades

• Design, develop and maintain ETL pipelines in Databricks.
• Build, train, and productionize ML models.
• Craft dashboards and reports in Looker to inform stakeholders.

Conocimientos

Python Proficiency

PySpark Experience

SQL Mastery

AWS Savvy

Containerization

ML Fundamentals

AI/LLM Awareness

Workflow Orchestration

Version Control

Business Acumen

Adaptability

Herramientas

Databricks

Docker

Looker

Descripción del empleo

ZINIO is looking for aSenior Data & Analytics Specialistin 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:

• Python Proficiency: Expert in data wrangling, ML libraries, and AWS SDKs.
• PySpark Experience: Hands-on with Databricks for large-scale ETL and Delta Lake.
• SQL Mastery: Design, optimize, and troubleshoot complex queries.
• AWS Savvy: Comfort with core services (S3, EC2, Lambda, Athena, IAM) and best practices.
• Containerization: Experience with Docker and AWS Fargate.
• ML Fundamentals: Solid grasp of algorithms, model training, evaluation, and deployment.
• AI/LLM Awareness: Able to leverage pre-built models and APIs for automation tasks.
• Workflow Orchestration: Practical Airflow knowledge.
• Version Control: Git fluency.
• Business Acumen: Strong communicator who can partner with stakeholders and translate business needs into data solutions.
• Adaptability: Self-starter, happy to rotate through engineering, science, and AI roles as priorities shift.

Nice-to-Have:

• Looker dashboard development
• Experience with Athena query optimization and cost management
• Experience with MLOps tooling (e.g., MLflow, SageMaker)
• Familiarity with Docker Compose or Kubernetes

Why you will love working with us:

• We lead our sector of activity and are always facing new challenging projects.
• We have a highly skilled team that will let you learn from your colleagues: knowledge sharing is strongly encouraged and lived.
• We are a stable and well-established company.
• You will be part of a multicultural team, working with different countries and time zones.
• We have a fun, friendly & international work environment.
  

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

• Health Insurance Program.
• Meal, Public Transportation Card & Nursery.
• Training budget for teams. Books, courses, meetups… you name it!
  

We also offer great benefits, including:

• Office in Barcelona with awesome views, fresh fruit, tea, and good (unlimited) coffee.
• Team-building activities.
• Free access to all sorts of digital content: Magazines, Newspapers, Articles and more!
• We follow a hybrid model where flexibility rules, with only 1 day per week in the office.
  Remote work from abroad (up to 1 month per year), depending on destination and policy.

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

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