Data Engineer - Remote
Role details
Job location
Tech stack
Job description
We're looking for a Data Engineer to join our growing EMEA team. This is an exciting opportunity for a hands-on engineer who enjoys building scalable data pipelines, working with modern cloud technologies, and delivering solutions that directly support sports, live events, venues, and operational environments.
You'll work closely with Data Engineering Leads, Analytics, Product, and Platform teams to help turn raw data into reliable, analytics-ready assets that power reporting, operations, AI initiatives, and customer-facing products. This is a delivery-focused role where your work will have real visibility and impact across global projects and clients.
WHAT YOU'LL DO
- Build and maintain modern data pipelines across ingestion, transformation, validation, and serving layers
- Work with APIs, databases, files, event streams, and third-party data sources
- Support reliable batch and near real-time data processing workflows
- Develop reusable transformation logic and trusted datasets for analytics and reporting
- Collaborate with Product Owners, Analysts, QA, DevOps, and Engineering teams to support smooth delivery
- Contribute to strong engineering standards across testing, CI/CD, monitoring, documentation, and code reviews
- Support troubleshooting, optimisation, and operational support across cloud-based environments
- Help improve data quality, observability, scalability, and long-term maintainability of solutions
- Contribute to reusable engineering patterns, delivery standards, and continuous improvement initiatives across EMEA teams
- Support a product-aware engineering mindset focused on usability, reliability, and business value
Requirements
Do you have experience in Usability?, * Strong SQL skills and experience building production-ready data pipelines
- 3-6 years' experience in Data Engineering, ETL/ELT development, Analytics Engineering, or related technical roles
- Experience with cloud platforms such as AWS, Azure, or GCP
- Familiarity with tools such as dbt, Spark, Airflow, Dagster, or similar orchestration and transformation technologies
- Experience working with data warehouses, lakehouse platforms, or distributed data environments
- Good understanding of software engineering practices including Git, testing, CI/CD, and code reviews
- Experience working with APIs, files, databases, and third-party data sources
- Exposure to data quality, lineage, monitoring, and operational support practices
- Strong problem-solving skills and attention to detail
- Strong communication and collaboration skills
- Experience in consulting, client-facing, or distributed delivery environments is beneficial
- Right to live and work in the relevant European hiring location is required
NICE TO HAVE
- Experience within Sports, Entertainment, Stadiums, or Live Events
- Exposure to real-time or event-driven data architectures
- Experience supporting analytics, AI, or operational reporting initiatives
- Familiarity with modern DevOps and cloud deployment practices
- Interest in building reusable data products and trusted reporting datasets
- Passion for sports, live environments, and technology-driven experiences
Benefits & conditions
- Growth: Scale your career with diverse projects and continuous learning.
- Flexibility: Embrace a work-life balance with flexible hours and remote work opportunities.
- Impact: Your work directly transforms the venue experience for millions.
- Culture: Collaborate with a passionate team in a dynamic, innovative environment.
- Benefits: Competitive compensation, fun team events and opportunities for personal and professional growth.