Data Team Lead

Há 6 dias


Lisboa, Lisboa, Portugal Https:Www.Energyjobline.ComSitemap Tempo inteiro

Job Overview

Data Team Leader - Join a dynamic team at Https:/Www.Energyjobline.Com/Sitemap as a Data Team Leader. This exciting opportunity is perfect for individuals who are passionate about the BI and Big Data area and want to take their career to the next level.

About the Role

We are seeking an experienced Data Team Leader to lead our technical team and contribute to the development of dashboards and solutions that help clients understand their data and solve their problems. As a Data Team Leader, you will be responsible for leading projects and teams in complex environments, ensuring timely delivery of quality solutions.

Key Responsibilities

• Lead projects and teams in complex environments ensuring timely delivery of quality solutions
• Build and maintain positive relationships with client staff at all levels, by communicating the results efficiently to both technical and non-technical audiences
• Leverage tools in BI product stack to create ingestion packages that incorporate pipeline, data modelling, data quality, error handling and data visualization
• Architect innovative solutions to modern data architecture challenges facing enterprises today including: Migration to cloud solutions, processing massive amounts of data efficiently and with optimal performance, automating complex integrations involving many systems, modelling data structures according to business needs that follow industry best practice, upporting analytics and data visualization technologies and designing solutions to support them
Requirements

• Degree in Computer Engineering, Information Management or other academic output that has endowed you with the capacity for development and critical thinking in this environment
• Experience over 5 years in the field of Analytics, ideally in service/consulting companies
• Experience working with Power BI (DAX, SQL, etc)
• Experience in leadership of technical teams/projects
• Knowledge in backend
• Good knowledge of architecture and data life cycle in Data Lake environments, Data Warehouse or other data platforms
• Fluent in English



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