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.

Data Engineering Lead

Job Description