Senior Software Engineer, Data

About this role

ABOUT US: The Ads Analytics team is the backbone of our advertising intelligence platform, processing terabytes of data daily from programmatic, social, and search advertising channels. We build end-to-end solutions that transform raw advertising data into actionable business insights and leverage rich analytics data to create sophisticated sport audience segments. THE CHALLENGE We're scaling rapidly and need a senior data engineer who can take ownership of complex, multi-faceted data projects.

You'll be tackling challenges like: Scale & Performance Engineering : Processing and analyzing terabytes of advertising data with sub-second query performance while building and maintaining robust ETL pipelines using Spark and AWS services to handle massive data volumes daily Data Pipeline Architecture & Development : Designing and building scalable data processing systems, developing backend APIs and microservices (Python or Go), architecting data flows that support both batch and real-time analytics requirements, and managing user-facing dashboards that visualize complex data insights Infrastructure & Data Quality Operations : Implementing robust monitoring and alerting systems to detect data quality issues, managing AWS infrastructure using Terraform, implementing CI/CD best practices, and maintaining high coding standards across data processing systems Cross-Functional Leadership & Collaboration : Leading large-scale data projects from requirements gathering through delivery, bridging technical implementation with business requirements, mentoring team members, and presenting technical concepts to stakeholders while challenging requirements constructively End-to-End Data System Ownership : Taking complete ownership of complex data engineering projects while ensuring high availability and accuracy for both internal stakeholders and external clients, championing clean code principles, and serving as a knowledge leader who supports delivering the right data solutions ABOUT YOU 5+ years of data engineering experience with proven track record of leading complex data projects from conception to delivery Exceptional communication skills and experience working in cross-functional teams with analysts, product managers, and business stakeholders AWS & Data Engineering : Very strong hands-on experience with AWS services (S3, Lambda, Glue, Athena, Redshift, EMR, etc.) and proficiency with Apache Spark for large-scale data processing Backend Development : Strong experience with Python for building data processing services and APIs, plus expert-level SQL for data processing and analytics Infrastructure & DevOps : Hands-on experience with Docker , Terraform , and CI/CD pipelines with automation best practices for data systems Clean Code Advocate : Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing and deep knowledge of analytics/reporting requirements Data Architecture : Experience designing scalable data architectures, data modeling, and optimizing data processing workflows Dashboard Development : Experience creating and managing analytics dashboards in bi tools (Tableau, Qlik Sense, Quicksuite, Power BI) and data visualization solutions to present complex insights to stakeholders GenAI Tools (beneficial): Experience working with contextual and prompt engineering with GitHub Copilot, Claude, or similar AI assistants OUR OFFER: A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) Ability to shape your own workday and career via a clearly defined professional and personal development plan Opportunity to work with senior leadership, develop yourself and build your career within an inspiring and fast-growing company and digital sports environment.