# Senior data engineer

**Company:** [Frontiers Media](http://jobs.workable.com/companies/ug9NqLyXt8GviKLXX5dHWi.md)
**Location:** Madrid, Spain
**Workplace:** hybrid
**Employment type:** Full-time
**Department:** Technology

[Apply for this job](http://jobs.workable.com/view/7613b6dd-a6cc-465f-82f0-15743ca9df38)

## Description

### **Who we are**

At Frontiers, our purpose is simple yet ambitious: to make science open. We believe open science empowers the global scientific community to accelerate discovery and develop the solutions needed for healthy lives on a healthy planet.

We are one of the world’s largest and most influential open-access research publishers. Every article we publish is peer-reviewed and quality-certified, ensuring research is accessible to everyone, everywhere. To date, Frontiers research has been viewed over 4 billion times, demonstrating the real-world impact of science without barriers.

Joining Frontiers means being part of a global, mission-driven organization at the intersection of science, technology, and innovation — working alongside passionate colleagues who care deeply about advancing knowledge for the benefit of society.

To learn more about our impact and culture, please watch this video:

[https://www.youtube.com/watch?v=jLJ7ZO3wOW4](https://www.youtube.com/watch?v=jLJ7ZO3wOW4)[](https://app.predictiveindex.com/dashboard)

[](https://www.youtube.com/watch?v=jLJ7ZO3wOW4)

**About the Role:** 

-   Own and evolve the company’s data infrastructure: event tracking, ingestion pipelines, and analytics tooling
-   Manage data collection pipelines via Snowplow, GTM (server-side and client-side), and Airflow-orchestrated workflows running on Cloud Composer
-   Build and maintain BigQuery datasets: partitioning, clustering, cost optimization, scheduled queries, and access controls
-   Write and maintain Python scripts for data ingestion, transformation, and reporting
-   Manage Cloud Storage (GCS) for data staging, Snowplow enriched event storage, and pipeline artifacts
-   Configure and maintain GCP IAM, service accounts, and access controls across services and external APIs
-   Monitor and debug pipelines using Cloud Logging & Monitoring; set up alerting and ensure pipeline observability
-   Work with relational and non-relational databases: schema design, query optimization, performance tuning
-   Collaborate with frontend, QA, DevOps, and product teams
-   Participate in code reviews and uphold code quality standards
-   Contribute to technical improvements (testing, observability, performance, maintainability)
-   Mentor mid-level engineers and contribute to architectural decisions

## Requirements

-   **Python** — hands-on experience writing production scripts and data pipelines
-   **SQL** — strong practical experience: queries, indexes, performance tuning, and analytical workloads
-   **Google Cloud Platform** — working experience across GCP services including:

-   BigQuery — partitioning, clustering, cost optimization, scheduled queries, access controls
-   Cloud Composer — managed Airflow: DAG deployment, environment configuration, GCP Console monitoring
-   Cloud Storage (GCS) — data staging, pipeline artifacts, enriched event storage
-   IAM & service accounts — secure access management across GCP services and external APIs
-   Cloud Logging & Monitoring — pipeline observability, alerting, and debugging

-   **Apache Airflow / Cloud Composer** — building and maintaining DAGs and data workflows
-   **Snowplow** — event tracking setup and data collection pipelines
-   **Google Tag Manager** — server-side and client-side configuration and management
-   **Azure Databricks** — data processing and analytics workloads
-   Understanding of clean code principles (maintainable, testable pipelines and scripts)
-   Comfortable with Git and code review workflows

### Nice-to-have skills

-   **C# and .NET Core** — backend/API development experience is a plus
-   **REST APIs** — design, implementation, authentication/authorization basics
-   **SQL Server / T-SQL** — experience with Microsoft SQL Server environments
-   MongoDB
-   Elasticsearch
-   RabbitMQ or similar queuing system
-   Docker / containers
-   GraphQL (building or consuming APIs)
-   Background job processing (e.g. Hangfire)
-   Observability tools (e.g. New Relic or similar)
-   PowerShell scripting
-   Agile tooling (e.g. Jira)
-   AI-assisted development tools (Cursor, etc.)

## Benefits

-   We prioritise office presence and emphasise in-person collaboration, but also offer appropriate adjustments where needed, in line with company policy
-   Extra wellbeing days on top of your annual leave allowance
-   Up to 3 paid volunteering days each year
-   24/7 confidential Employee Assistance Programme (wellbeing, mental health, legal & financial support)
-   Learning & development support via the Frontiers Learning Hub
-   Competitive local benefits country dependent (e.g. healthcare and pension/retirement provision)

_**Frontiers actively embraces diversity and is a safe and welcoming workplace. Recruitment is free from discrimination – including based on race, national or ethnic origin, age, religion, disability, sex, gender identity or sexual orientation. With employees from more than 50 different nations, our diversity creates vibrant teams and constantly challenges us to appreciate multiple perspectives.**_