Data Engineering Lead

About the role

Shuffle Up is a forward‑thinking online gaming company that serves both B2C and B2B customers. We are looking for a Data Engineering Lead to own and evolve our data platform, enabling data‑driven decisions across product, marketing, finance and engineering. The role combines hands‑on development with strategic architecture responsibilities.

Key responsibilities

• Design, build, and maintain data pipelines using Airflow for orchestration.
• Develop and maintain data models and transformations in dbt.
• Own the BigQuery data‑warehousing architecture, including performance, cost, and schema design.
• Write production‑quality Python for ETL/ELT, tooling, and automation.
• Deploy and manage workloads using Kubernetes and Google Cloud Platform.
• Monitor pipeline health and system performance with Grafana.
• Partner with analytics, product, and engineering stakeholders to translate data needs into reliable pipelines.
• Troubleshoot and resolve data quality issues and pipeline failures.
• Contribute to technical decisions on data architecture and tooling.

Required profile

• 5+ years of data engineering experience.
• Strong hands‑on experience with dbt, Airflow, and BigQuery.
• Solid Python programming skills.
• Experience with Google Cloud Platform and Kubernetes.
• Familiarity with monitoring/observability tools such as Grafana.
• Proven track record of taking ownership of end‑to‑end systems.
• Excellent communication skills for collaboration with technical and non‑technical teams.
• Ability to thrive in a fast‑paced, international environment.

Required skills

• Python
• Airflow
• dbt
• BigQuery
• Google Cloud Platform (GCP)
• Kubernetes
• Grafana
• Kafka
• Flink