Data Engineer II

• Build and optimise scalable, maintainable, and high-performance data pipelines and workflows. • Ingest, transform, and deliver high-volume data from a range of structured and unstructured sources, including MySQL databases and real-time Kafka streams. • Design and maintain performant data models in Redshift, and optimise SQL queries to support analytics and reporting workloads. • Contribute to our cloud migration journey and help evolve the data architecture with new ideas and improvements. • Collaborate with cross-functional, globally distributed teams to translate business requirements into robust technical solutions. • Embed data quality, reliability, observability, and security as first-class principles across the data platform. • Support and enhance data solutions operating in a mission-critical payments environment. • Continuously learn, share knowledge, and help raise standards across data governance, quality, and security practices. • Minimum 4 years of professional experience in Data Engineering or a related role. • Strong SQL expertise, including query optimisation, complex transformations, and datamodelling. • Solid Python skills for data engineering and pipeline development. • Hands-on experience with AWS services such as Redshift, Lambda, Glue, and S3, as well as Airflow for orchestration. • Familiarity with modern transformation and modelling practices using tools such as dbt. • A collaborative mindset, strong problem-solving skills, critical thinking, and a willingness to take ownership and initiative. • Experience contributing to large-scale cloud migration initiatives. • Knowledge of real-time data streaming using Kafka. • Exposure to CI/CD pipelines and infrastructure-as-code for data platforms. • Interest in exploring AI/ML use cases within modern data ecosystems. • Understanding of the payments domain or fintech data challenges.