GCP, with hands-on experience in cloud-based data services. Proficiency in SQL and Python for data manipulation and transformation. Experience with modern data engineering tools, including Apache Spark, Kafka, and Airflow. Strong understanding of data modelling, schema design, and data warehousing concepts. Familiarity with data governance, privacy, and compliance frameworks (e.g., GDPR, ISO27001). Hands-on experience with More ❯
of the following key skills Strong Data engineering skills including ETL pipeline creation, data warehousing and visualization Strong database architecture understanding – PostgreSQL, MongoDB, MS SQL Event sourcing/messaging – Kafka, CQRS etc Experience working in a high growth, product focussed business within small cross functional engineering teams Solid cloud provisioning – GCP, Azure, AWS etc A good appreciation of software … lead role in shaping the technical output of a successful, scaling organisation please apply now to be considered and for further info. Lead Developer ETL, data warehousing, MongoDB, SQL, Kafka, event messaging, software engineering More ❯