Data Engineering Lead

About Us Shuffle Up is a forward-thinking online gaming B2C and B2B company delivering transformational solutions and exceptional user experiences. We pride ourselves on agility, collaboration, and a commitment to delivery.  We are looking for a Data Engineering Lead to join our growing team. This role is key in shaping our data platform, enabling data-driven decision making across the business, and ensuring our data infrastructure remains scalable, reliable, and efficient. About the role As our Data Engineering Lead, you'll play a pivotal role in designing, developing, and maintaining the data platform that powers our business. You will be responsible for building scalable data pipelines, managing our cloud-based data warehouse, and ensuring data is accessible, accurate, and reliable for stakeholders across the organisation. You will work closely with Product, Marketing, CRM, Finance, and Engineering teams to deliver high-quality data solutions that support business growth. This role requires strong technical expertise, a passion for solving complex data challenges, and the ability to take ownership of our data architecture and engineering standards. Key Responsibilities Design, build, and maintain data pipelines using Airflow for orchestration Develop and maintain data models and transformations in dbt Own data warehousing architecture in BigQuery, including performance, cost, and schema design Write production-quality Python for ETL/ELT, tooling, and automation Deploy and manage workloads using Kubernetes and GCP Monitor pipeline health and system performance using Grafana Partner with analytics, product, and engineering stakeholders to understand data needs and translate them into reliable pipelines Troubleshoot and resolve data quality issues and pipeline failures Contribute to technical decisions on data architecture and tooling Qualifications: Experience: 5+ years of experience in data engineering Strong hands-on experience with dbt, Airflow, and BigQuery - these are core to the role Solid Python skills for building and maintaining data pipelines Experience with GCP and Kubernetes Familiarity with monitoring/observability tools (e.g. Grafana) A track record of taking ownership of systems end-to-end Experience with streaming technologies such as Kafka and Flink is a plus Excellent communication skills with the ability to collaborate across technical and non-technical teams. Ability to thrive in a fast-paced, international environment. Skills  Analytical and problem-solving skills, with the ability to translate business needs into technical solutions. Strong communication and interpersonal skills, with experience in stakeholder management and cross-functional collaboration. Ability to prioritize features and enhancements based on business value and customer impact.