Data Platform Engineer

DAZN Group is looking for Data Platform Engineer to join our dynamic team and embark on a rewarding career journey A Data Platform Engineer is a specialized IT professional responsible for designing, building, and maintaining the data infrastructure and platforms that support data processing, storage, and analytics in an organization.

They play a crucial role in ensuring the scalability, reliability, and performance of the data infrastructure, enabling efficient data management and analysis.

Responsibilities: Data Platform Design and Architecture: Collaborate with cross-functional teams, including data scientists, data engineers, and business stakeholders, to understand data requirements and design scalable data platforms and architectures that meet the organization's needs.

Data Integration: Develop data integration pipelines to ingest data from various sources (databases, APIs, streaming data, etc) into the data platform, ensuring data quality and consistency.

Data Storage and Management: Implement and manage data storage solutions such as databases (SQL and NoSQL), data lakes, data warehouses, and cloud-based storage systems to store and organize large volumes of structured and unstructured data.

Data Processing: Design and optimize data processing workflows and batch/streaming data pipelines to transform, cleanse, and prepare data for downstream analysis and reporting.

Data Security and Governance: Implement data security measures, access controls, and data governance policies to protect sensitive data and ensure compliance with relevant regulations (eg, GDPR, HIPAA).

Performance Tuning and Optimization: Monitor and optimize the data platform's performance, identifying bottlenecks and implementing improvements to enhance system reliability and responsiveness.

Cloud Infrastructure Management: If the organization operates in a cloud environment, manage and optimize cloud-based data infrastructure, leveraging services provided by cloud providers (eg, AWS, Azure, GCP).

Automation and DevOps: Employ automation and DevOps practices to streamline data platform operations, configuration management, and deployment processes.

Monitoring and Troubleshooting: Set up monitoring systems to proactively detect issues and promptly troubleshoot and resolve data platform-related incidents.

Documentation and Knowledge Sharing: Maintain comprehensive documentation of the data platform's design, configuration, and operational procedures.

Share knowledge and best practices with the team to foster a culture of continuous learning.

Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field.

A Master's degree is a plus.

Proven experience as a Data Platform Engineer or a similar role, demonstrating a strong understanding of data infrastructure, data integration, and data management.

Proficiency in programming languages such as Python, Java, or Scala.