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+ yearsof data engineering experience with proven track record ofleading complex data projectsfrom conception to delivery
- Exceptional communication skillsand experience working incross-functional teamswith 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 withApache Sparkfor large-scale data processing
- Backend Development: Strong experience withPythonfor building data processing services and APIs, plus expert-levelSQLfor data processing and analytics
- Infrastructure & DevOps: Hands-on experience withDocker,Terraform, andCI/CD pipelineswith 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
- Acollaborative environmentwith colleagues from all over the world (Engineering offices in Europe, Asia and US)
- Ability toshape your own workday and careervia a clearly defined professional and personal development plan
- Opportunity to work with senior leadership, develop yourself andbuild your careerwithin an inspiring and fast-growing company and digital sports environment.
- Avibrant and inclusive community,includingWomen in Tech and Pridegroups which welcome all participants
- Acompany culturethat promotes social aspects, sports, physical exercise and fun.
- Innovative and cross-team challenges li