Head of Data, hibrido
Empresa
Michael Page
Provincia
Barcelona
Ciudad
Barcelona
Tipo de Contrato
Tiempo Completo
Descripción
Head of Data en hibrido.
Perfil buscado (Hombre/Mujer)
Drive a scalable data strategy and architecture meeting the demands of our customers and technology as we scale and mature.
Build relationships with Data Scientists Product Managers and Software Engineers to understand data needs translating business needs to technical requirements
Define a strategy for use of data and how data use interacts with data design
Proactively mentor and grow the team identify the required skills hire the best talent actively manage their performance and help them to grow to their fullest potential.
Create the vision for Data and Data Warehousing team for product verticals and create a plan to achieve that vision
Drives continuous innovation within the data team on data changes and driving data integration across modules.
Drive the design building and launching of new data models and data pipelines
Adopt and define the standards and best practices in data engineering including data integrity validation reliability and documentation and improving discoverability of data
Data Lead. Startup. Team. Datawarehouse. AWS.
2+ years leading and maintaining high performance data engineering teams
Experienced with scaling data architecture with an emphasis on enterprise customer data
5+ years of experience in data modeling ETL/ELT development and Data Warehousing (I.e.DBT)
3+ years of experience in Cloud data engineering (S3 RDS Redshift Snowflake EMR)
Strong understanding cloud platform (I.e. AWS GCP)
Experience developing and deploying high-performance solutions using Apache airflow Lambda Functions Python FastAPI
Experienced in normalising data from multiple sources into a homogeneous environment
Strong Communication and leadership experience required along with experience initiating and driving projects.
Detailed orientated to ensure data integrity
Experience performing data acquisition from source databases and APIs
Knowledge of CI/CD processes (GitHub Actions AWSCode)
Were an exciting and rapidly growing startup with a team of over 250 passionate and skilled ML Engineers Data Scientists and Developers. Were dedicated to democratizing AI and have developed an exceptional AI mobile app that goes beyond conventional solutions by providing immediate business insights. Our vision is to establish ourselves as the preferred platform for AI-driven decision-making setting new industry standards. Joining our team means being at the forefront of shaping the future of intelligent decision-making.
Internationally diverse team.
We develop high-quality software and thus create sustainable added value for our customers
We live a feedback culture so that we can constantly reflect and improve
Flexible remote work.
We enjoy new technologies and love to learn new things and grow with them
We give freedom for further training because lifelong learning is important to us
AWS, ETL, Redshift
Perfil buscado (Hombre/Mujer)
Drive a scalable data strategy and architecture meeting the demands of our customers and technology as we scale and mature.
Build relationships with Data Scientists Product Managers and Software Engineers to understand data needs translating business needs to technical requirements
Define a strategy for use of data and how data use interacts with data design
Proactively mentor and grow the team identify the required skills hire the best talent actively manage their performance and help them to grow to their fullest potential.
Create the vision for Data and Data Warehousing team for product verticals and create a plan to achieve that vision
Drives continuous innovation within the data team on data changes and driving data integration across modules.
Drive the design building and launching of new data models and data pipelines
Adopt and define the standards and best practices in data engineering including data integrity validation reliability and documentation and improving discoverability of data
Data Lead. Startup. Team. Datawarehouse. AWS.
2+ years leading and maintaining high performance data engineering teams
Experienced with scaling data architecture with an emphasis on enterprise customer data
5+ years of experience in data modeling ETL/ELT development and Data Warehousing (I.e.DBT)
3+ years of experience in Cloud data engineering (S3 RDS Redshift Snowflake EMR)
Strong understanding cloud platform (I.e. AWS GCP)
Experience developing and deploying high-performance solutions using Apache airflow Lambda Functions Python FastAPI
Experienced in normalising data from multiple sources into a homogeneous environment
Strong Communication and leadership experience required along with experience initiating and driving projects.
Detailed orientated to ensure data integrity
Experience performing data acquisition from source databases and APIs
Knowledge of CI/CD processes (GitHub Actions AWSCode)
Were an exciting and rapidly growing startup with a team of over 250 passionate and skilled ML Engineers Data Scientists and Developers. Were dedicated to democratizing AI and have developed an exceptional AI mobile app that goes beyond conventional solutions by providing immediate business insights. Our vision is to establish ourselves as the preferred platform for AI-driven decision-making setting new industry standards. Joining our team means being at the forefront of shaping the future of intelligent decision-making.
Internationally diverse team.
We develop high-quality software and thus create sustainable added value for our customers
We live a feedback culture so that we can constantly reflect and improve
Flexible remote work.
We enjoy new technologies and love to learn new things and grow with them
We give freedom for further training because lifelong learning is important to us
AWS, ETL, Redshift