Senior Data Engineer (Cloud Lakehouse)

Location: London, United Kingdom; Stockholm, Sweden

Company

hirify.global is a European betting and gaming operator with more than 5,000 employees across around fifteen regulated markets, developing lottery, sports-betting, gaming, and data-driven customer experiences.

What you will do

• Design, build, and maintain data solutions and products, including data transformation, modelling, reporting, ingestion, and data processing across on-premises and cloud environments.
• Build modern data lake and lakehouse architectures, including solutions based on Apache Iceberg, and enhance real-time processing through domain events.
• Develop self-service analytics capabilities using generative AI features such as Amazon Q and Copilot, with emphasis on performance, scalability, and data accessibility.
• Improve engineering efficiency through automation, CI/CD pipelines, ETL/ELT optimization, testing, release management, troubleshooting, and on-call support as necessary.
• Collaborate with cross-functional stakeholders and Architects to translate business requirements into documented technical solutions and GAPs.
• Support data discovery, governance, quality, compliance, KPI accuracy, and documentation using platforms such as Open Metadata.

Requirements

• 5+ years of data engineering experience, with demonstrated expertise designing and implementing scalable, flexible modern data architectures.
• Experience building modern data lake/lakehouse architectures in cloud environments, such as Apache Iceberg.
• Strong knowledge of AWS data services, including S3 and Redshift, or Azure data services.
• Experience with ETL/ELT processes and data ingestion.
• Proven expertise using transformation tools such as dbt.
• Experience with data pipeline orchestration tools such as Apache Airflow.
• Experience applying data engineering best practices, including testing and CI/CD.

Nice to have

• Experience developing dashboards and reporting solutions with data visualization tools such as Power BI or Amazon QuickSight.
• Experience with generative AI applications in data analytics.
• Some Java experience.

Culture & Benefits

• Agile, cross-functional engineering environment focused on technical excellence, experimentation, accountability, and continuous learning.
• Automated CI/CD culture with a release-small, release-often approach and more than 13,000 production releases per year.
• Learning and development opportunities, social events, activities, and inclusion networks.
• Private medical insurance, Employee Assistance Programme, long-service awards, and pension.