City of London, London, United Kingdom Hybrid / WFH Options
Qurated
data lifecycle management, from data creation to governance Deep expertise in AWS cloud, event-driven architecture, and streaming technologies like Kafka Familiarity with data tooling such as Snowflake, Databricks, S3, and broader ecosystem awareness Strong grasp of architectural frameworks (e.g., TOGAF) and enterprise design principles Confident communicator with the ability to engage exec-level audiences and cross-functional stakeholders More ❯
ingestion processes from APIs and internal systems, leveraging tools such as Kafka, Spark, or AWS-native services. Cloud Data Platforms - Develop and maintain data lakes and warehouses (e.g., AWS S3, Redshift). Data Quality & Governance - Implement automated validation, testing, and monitoring for data integrity. Performance & Troubleshooting - Monitor workflows, enhance logging/alerting, and fine-tune performance. Data Modelling - Handle … IAM), and GDPR-aligned data practices. Technical Skills & Experience Proficient in Python and SQL for data processing. Solid experience with Apache Airflow - writing and configuring DAGs. Strong AWS skills (S3, Redshift, etc.). Big data experience with Apache Spark. Knowledge of data modelling, schema design, and partitioning. Understanding of batch and streaming data architectures (e.g., Kafka). Experience with More ❯
