Job Overview
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Job Description
About the Role:
We're looking for a Data Engineer to design, build, and optimize our data platform using Airflow, Kubernetes, Google Bigquery, and dbt. This role combines hands-on development with architectural responsibility — ensuring scalability and reliability across our infrastructure.
Core Technical Focus Areas
Data Engineering & Orchestration
- Experience in designing, building, and maintaining complex data pipelines using Airflow
- Strong understanding of ETL/ELT workflows and modern data engineering principles
- Proven experience deploying and operating workloads on K8s (e.g. Deployments, CronJobs, configs, and basic troubleshooting) in a production environment.
- Experience with Bigquery or other cloud datawarehouse for large-scale data processing
Cloud Infrastructure
- Hands-on experience with Google Cloud and/or Azure
- Experience applying DevOps practices — including Docker, container registries, infrastructure as code with Terraform, and CI/CD — in a production context.
Requirements
- 3-5 years of experience in data engineering
- Proficiency with Airflow, Kubernetes
- Advanced Python and SQL skills
- Collaborative and pragmatic mindset
- Based in or open to relocation to Madrid
Programming & Development Practices
- Advanced Python and SQL and data manipulation libraries
- Strong engineering discipline — testing, version control, CI/CD, and clean code principles
- Familiarity with data validation, logging, and monitoring best practices
Desired Additional Experience
- Experience working with data quality frameworks and implementing data validation processes
- Familiarity with data catalog management tools and metadata governance practices
Collaboration & Soft Skills
- Clear communication across technical and non-technical audiences
- Adaptable and organized under fast-paced conditions
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)
Diversity & Inclusion
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.
Key skills/competency
- Data Engineering
- Airflow
- Kubernetes
- Google Bigquery
- dbt
- Python
- SQL
- ETL/ELT
- DevOps
- Cloud Infrastructure
How to Get Hired at Frontiers
- Tailor your resume: Highlight experience with Airflow, Kubernetes, Bigquery, dbt, Python, and SQL, aligning with Frontiers' technical needs.
- Showcase DevOps skills: Emphasize your experience with Docker, Terraform, CI/CD, and Google Cloud or Azure.
- Demonstrate collaboration: Provide examples of clear communication and adaptability in fast-paced environments.
- Prepare for technical interviews: Be ready to discuss complex data pipeline design and production Kubernetes deployments.
- Research Frontiers: Understand their mission of open science and their commitment to diversity.
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