Endava is hiring a Senior Data Engineer (Snowflake)

Design, build, and maintain scalable ETL/ELT pipelines to ingest data from multiple source systems into Snowflake. Develop and optimize Snowflake data warehouse structures, including databases, schemas, tables, views, and materialized views. Implement data transformation logic using SQL, dbt, Python, or similar tools within Snowflake-centric architectures. Manage and optimize Snowflake virtual warehouses for performance, concurrency, and cost efficiency. Use Snowflake features such as stages, tasks, streams, time travel, zero-copy cloning, and secure data sharing where appropriate. Load and process structured and semi-structured data, including JSON, Avro, and Parquet. Monitor query performance, troubleshoot failures, and tune Snowflake workloads for reliability and scalability. Implement data quality checks, validation frameworks, and monitoring for production pipelines. Work closely with analysts, BI developers, architects, and business stakeholders to translate data requirements into technical solutions. Apply best practices for data governance, security, role-based access control, and compliance within Snowflake. Support CI/CD, automation, and deployment processes for data engineering workflows. Maintain technical documentation for pipelines, models, Snowflake objects, and operational proc