Lesser PolandLesser Poland
- Offer expired a month ago
- Remote work
- contract of employment
- junior specialist (Junior)
Technologies we use
About the project
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA). Data is at the heart of AIRA in the form of AIRA Knowledge – a rich graph of academic knowledge such as scientific publications, citation relationships between those publications, as well as authors, institutions and fields of research. This serves as the basis of all the AI/ML models used by our reviewer recommendation service and our quality checks.
We are now looking for a Data QA Engineer to join our growing team and help us evolve AIRA Knowledge.
Design, monitor and maintain QA reports, KPIs & quality trends for the internal data systems
Develops test scenarios and testing strategy, and performs end to end data quality testing
Evaluates test results against business value and established quality measures and identifies appropriate course of action
Pro-actively identifies patterns in issues and defects and researches the root cause to improve overall quality
Seeks to understand business requirements and sorts through large amounts of data to develop in-depth knowledge of relationships between relevant subject areas and end-to-end data flows/lineage
Design, develop, and implement automated testing frameworks and solutions in accordance with enterprise standards and within development and operational guidelines
Provides explanation and information to customers and leaders on difficult or complex issues
Translates data quality concepts into practice
Work together with product managers, data scientists and business stakeholders to understand and support their needs
Proactively identify opportunities for improvements in data quality, data visualization and data reporting for AIRA.
Demonstrated experience of data analysis / quality assurance / reporting experience
Extensive experience setting up, running and maintaining test automation frameworks for data teams.
Demonstrated experience of ETL tools.
Knowledge of at least one scripting language such as Python or R.
Experience working with Unix operating systems.
Demonstrated knowledge of test methodologies, test design and extensive QA workflow experience.
Experience with Azure CI/CD and Azure AI, ML and Analytics Services.
Experience with reporting tools: PowerBI, Tableau
Robust analytical, critical thinking, and creative problem solving skills
Accustomed to fast-paced environments with simultaneous, high-priority tasks
Solid written and verbal communication skills with the ability to clearly articulate ideas to both technical and non-technical audiences (fluency in English is a must)
What we offer
26 days holidays
Participation in the annual company bonus scheme
Access to the latest equipment
Extensive learning opportunities through our Pluralsight and LinkedIn Learning partnership
Great flexibility for working from home across Poland
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems.
Frontiers Open Science sp. z o.o.
We are on a mission to make science open so everyone can live healthy lives on a healthy planet.
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher.
We are one of the largest and most cited publishers globally. To date, our 200,000 freely available research articles have received more than one billion views and downloads and two million citations.
Our journals span science, health, humanities and social sciences, engineering, and sustainability. And we continue to expand into new academic disciplines so more researchers can publish open access.
Be part of the publishing revolution and help us transform the way research is published, evaluated, and communicated to the world.
As a Data QA Engineer, you will be responsible for designing, developing, documenting and performing data quality checks across all data assets. That includes ETL jobs, reports, dashboards and data pipelines, as well as testing plans and routines, manage continuous integration and regression testing processes, and be the point person for clearing data for release according to delivery specifications. Your key responsibility is to ensure high quality of data delivered to all stakeholders.
With over 50 nationalities across seven locations around the world, we are certainly a diverse company. You will have the opportunity to work with teammates in other offices, as well as with researchers, editors, and authors from across the globe.
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 over 600 employees from more than 50 different nations, our diversity creates vibrant teams and constantly challenges us to appreciate multiple perspectives.