CONTEXT

beIN Media Group is a leading global entertainment network dedicated to sports and entertainment content across multiple platforms. As part of the Global Digital Team, we are committed to leveraging cutting-edge technology to enhance our data-driven decision-making processes. We seeking a skilled Lead Data Engineer with expertise in Google Cloud Platform, Looker, BigQuery, ETL Processes and Google Analytics to join our dynamic team. As a Lead Data Engineer, you will play a pivotal role in the development and maintenance of our Data Infrastructure, supporting Global Digital Team efforts in activating data-driven insights.

RESPONSABILITIES

• Lead the design, development, and maintenance of efficient, reusable, and reliable aggregate databases and data lakes to support business analytics and reporting needs.

• Design, deploy, and optimize data processing workflows using Google Cloud Platform services, particularly BigQuery, to support scalable and cost-effective data storage and analysis solutions.

• Architect and implement ETL pipelines using SQL, Python Scripts from diverse data sources including website data, social media and third-party APIs, ensuring data integrity and performance.

• Translate business Key Performance Indicators into detailed data field requirements, ensuring that KPIs are accurately calculated and measured within the data infrastructure.

• Implement and manage Google Analytics, GTM integration to track and analyze user behavior and engagement across digital platforms, leveraging insights to enhance data-driven decision-making processes.

• Collaborate with stakeholders to integrate Looker into the data infrastructure, developing and optimizing data models and dashboards to provide intuitive and actionable insights for end-users.

• Collaborate with various internal and external teams to define data requirements, interfaces, and implementation strategies, fostering alignment with business objectives.

• Provide expert troubleshooting support and resolve platform bugs efficiently across multiple platforms.

• Actively participate in Agile ceremonies such as daily scrum meetings, sprint planning sessions, reviews, and retrospectives to ensure the successful delivery of features and enhancements.

• Drive continuous improvement initiatives within the Agile framework, contributing to the optimization of development processes and workflows.

QUALIFICATIONS

• 5+ years of relevant work experience in data engineering or related roles, demonstrating a strong track record of delivering scalable and reliable data solutions.

• Proven experience building enterprise-level SaaS platforms, with a focus on data infrastructure and analytics.

• Experience in web scraping, building public-facing APIs, SQL, Phyton facilitating seamless integration with external systems and applications.

• Experience with building semantic layers and data models to provide structured, business-friendly views of data within cloud environments, enabling self-service analytics capabilities

• Excellent organizational, verbal, and written communication skills, enabling effective collaboration with cross-functional teams.

• Familiarity with reporting, analytics, and visualization tools, including Looker and Tableau.

• Familiarity with digital marketing concepts and tools, such as Google Analytics, Google Ads Manager, and other relevant platforms, to understand and analyze marketing performance data.

• Knowledge of entertainment/sports broadcasting, digital media, OTT/SVOD is advantageous.

• Bachelor’s degree in Computer Science or related engineering field is preferred, although equivalent experience and demonstrated knowledge may offset this requirement.

  All of our positions are open to people with special needs.

Entretien avec le Business Intelligence and Analytics Manager

Entretien avec le Recruitment & HR Development Manager

Entretien avec le Global Digital Director