Data Team Lead (Madrid)

Frontiers + Seguir empresa
Madrid - España 17/01/2022Actualizada

Descripción 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: learning, innovating, applying best practices, being aware of lessons learned and suggesting improvements
Leading your initiatives and projects in a proactive way
Helping with coordination of Data projects and initiatives between 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, Databicks, PySpark, Delta Lake, SQL Server, MongoDB, ElasticSearch and therefore knowledge on any of these would be highly beneficial
These are some of the data challenges we are working on and therefore any experience with these would be beneficial:
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 -like processes incorporating stream data via Kafka
Leverage on Delta Lake capabilities to implement persistent IDs for our Entities
A natural leader who is proactive
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, 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.

Key Benefits

25 annual leave days + 4 well-being days
Participation in the annual company bonus scheme
Flexible working framework and remote working opportunities across Spain
Extensive learning opportunities through our Pluralsight and LinkedIn Learning partnership
3 volunteer days through our online platform
Access to Headspace app
Online Yoga classes
Application Process

Please submit your application in English (cover letter and resume).

Otros detalles de la oferta

Idiomas: Inglés

Formación Mínima: Ingeniero Tecnico

Nivel Profesional: Especialista

Número de puestos: 2

CVs inscritos en el proceso: 5

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Datos principales de la oferta
  • Madrid - España
  • Ingenieros y técnicos
  • Jornada completa
  • Más de 5 años
  • Indefinido
    Tipo contrato
  • data

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