Offer summary

Qualifications:

Expert proficiency in SQL and Python., Deep experience with data engineering practices., Mastery of cloud platforms and data systems., Strong understanding of DevOps tools..

Key responsabilities:

Lead the design and development of data pipelines.

Oversee data quality monitoring and troubleshooting.

Job description

Who we are

At Frontiers we are on a mission to make all science open, enabling the research community to develop the solutions we need to live healthy lives on a healthy planet.

Powered by custom-built technology, artificial intelligence, and rigorous quality standards, our research articles have been viewed more than 2.1 billion times, reflecting the power of research that is open for all.

Join the publishing revolution.

Follow the links below to learn more about our work.

https://progressreport.frontiersin.org/

https://www.youtube.com/watch?v=87ejFfnQzko

What we can offer you

We provide a range of benefits across our locations, including but not limited to:

We are a remote-first organization and most of our roles are work-from-home
4 additional wellbeing days in addition to existing annual leave allowance
Access to learning platforms and dedicated learning & development time
A range of wellbeing initiatives, including free online yoga classes and an employee assistance plan
Employees can dedicate three days each year to volunteer

The role:

As a Senior Data Engineer, you will lead the design, development, and maintenance of data pipelines, platforms, and tools to drive data-driven decision-making across the organization. The role will be based in the Artificial Intelligence team, playing a key role in ensuring the integrity and accessibility of data for AI models, both in experiments and production.

Responsibilities:

Lead the design, development, and maintenance of robust and scalable complex data pipelines and systems.

Oversee the monitoring of data quality and the implementation and troubleshooting of data processing workflows.

Lead the creation and maintenance of best practices and technical standards.

Provide significant input on the use and optimization of platform team tools and infrastructure.

Mentor junior team members and provide guidance.

Collaborate with engineering teams to gather requirements and deliver solutions.

Skills:

In-depth understanding of data engineering practices, data governance, and data quality standards.

Proficient in data engineering processes and understanding business requirements.

Good knowledge of industry trends and best practices, with the ability to propose technical solutions to business problems.

Deep experience with source control systems, CI/CD pipelines, and DevOps tools.

Expert proficiency in relational/non-relational databases and programming languages (SQL and Python).

Mastery of at least one cloud platform, at least one data system and other modern data engineering tools

Proficiency with orchestration tools (e.g., Airflow) and data modelling techniques.

Experience with real-time streaming processing systems.

Experience with cloud infrastructure provisioning and Infrastructure as Code (e.g., Terraform).

Strong problem-solving abilities and analytical mindset.

Leadership and mentoring capabilities, including negotiating with other teams.

Ability to evaluate solutions considering dependencies, code complexity, costs, security, and coordination overhead.

Strong documentation skills for complex systems.

Knowledge of vector/graph databases and Machine Learning is a plus.

Strong communication, ability to manage multiple priorities, and commitment to continuous learning.

Apply now

Please click the 'apply' button on this page and submit your application in English.

Please inform us if you require any special accommodations to participate fully in our recruitment experience. You can contact us at careers@frontiersin.org for any additional support.