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(Kv-54) | Data Team Lead (Madrid) | (K587)
Responder al anuncioDescripción de la oferta de empleo
We are looking for a senior Data Engineer/Architect with experience leading teams, to join our business and help us to start and evolve a multidisciplinary Data Team that will include DS/ML engineers, Python SW engineers, Data Engineers, and Data QA engineers.
What will you be doing?
- Leading, coaching, and evolving your team, creating a culture of excellence that will allow them professional growth.
- Leading the work in a complex data-intensive environment, including ETLs, Streaming Processes, Data Lakes, ML models, Data Services, Web Scraping for data sourcing and several DB typologies.
- Delivering Data as your final product, ensuring its overall quality and accuracy using the right QA strategies.
- Keeping yourself up to date on all relevant Data disciplines.
- Leading your initiatives and projects in a proactive way.
- Helping with coordination of Data projects and initiatives with the different stakeholders across teams.
- Mapping business and technical requirements into actionable initiatives, reporting and analyzing results in a timely manner, and learning from any mistakes.
- Understanding and evaluating risk factors and the possible impact of your projects.
- Maintaining strong working relationships through detail-oriented and effective communication.
What we are looking for:
- Minimum 8 years' experience as a Data Architect or Data Engineer with at least 3 years leading teams.
- Strong knowledge of current industry-wide Data Engineering and DS/ML practices, tools, and techniques.
- Our technical stack is based on Azure Cloud, Data Factory, Kafka, Databricks, PySpark, Delta Lake, SQL Server, MongoDB, ElasticSearch and therefore knowledge on any of these would be highly beneficial.
- Experience with classification and recommendation algorithms and ML models, classifiers like KNN and filtering algorithms, matrix factorization, disambiguation and clusterization of Data obtained from different sources, web scraping as a data source for ETLs, transformation of ETL pipelines into real-time processes incorporating stream data via Kafka, leverage on Delta Lake capabilities to implement persistent IDs for our Entities.
- A natural leader who is proactive and comfortable handling uncertainty in evolving scenarios who can understand priorities and balance them.
- Familiarity with Agile framework.
- Excellent verbal and written communication skills in English.
Who We Are
We are on a mission to make science open so everyone can live healthy lives on a healthy planet. 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.
What we Offer
- International environment with over 50 nationalities across seven locations around the world.
- 25 annual leave days + 4 well-being days.
- Participation in the annual company bonus scheme.
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