Resourgenix Ltd
Snowflake Senior Developer Location: London (Hybrid) Employment Type: Full-time Seniority: Senior Individual Contributor Reports to: Data Engineering Lead / Manager Summary of role We are seeking a Snowflake Senior Developer to design, develop, and optimise data solutions on our cloud data platform. You will work closely with data engineers, analysts, and architects to deliver high-quality, scalable data pipelines and models. Strong expertise in Snowflake, ETL/ELT, data modelling, and data warehousing is essential. Responsibilities Snowflake Development: Build and optimise Snowflake objects (databases, schemas, tables, views, tasks, streams, resource monitors). ETL/ELT Pipelines: Develop and maintain robust data pipelines using tools like dbt, Airflow, Azure Data Factory, or similar. Data Modelling: Implement dimensional models (star/snowflake schemas), handle SCDs, and design efficient structures for analytics. Performance Tuning: Optimise queries, manage clustering, caching, and warehouse sizing for cost and speed. Data Quality: Implement testing frameworks (dbt tests, Great Expectations) and ensure data accuracy and freshness. Security & Governance: Apply RBAC, masking policies, and comply with data governance standards. Collaboration: Work with BI teams to ensure semantic alignment and support self-service analytics. Documentation: Maintain clear technical documentation for pipelines, models, and processes. Qualifications Matric and a Degree in IT Strong SQL skills (complex queries, performance tuning) and proficiency in Python for data processing. Experience with ETL/ELT tools (dbt, Airflow, ADF, Informatica, Matillion). Solid understanding of data warehousing concepts (Kimball, Data Vault, normalization). Familiarity with cloud platforms (Azure preferred; AWS/GCP acceptable). Knowledge of data governance, security, and compliance (GDPR). Excellent problem-solving and communication skills. Skills Experience with Snowpark, UDFs, dynamic tables, and external tables. Exposure to streaming/CDC (Kafka, Fivetran, Debezium). BI tool integration (Power BI, Tableau, Looker). Certifications: SnowPro Core or Advanced.
Snowflake Senior Developer Location: London (Hybrid) Employment Type: Full-time Seniority: Senior Individual Contributor Reports to: Data Engineering Lead / Manager Summary of role We are seeking a Snowflake Senior Developer to design, develop, and optimise data solutions on our cloud data platform. You will work closely with data engineers, analysts, and architects to deliver high-quality, scalable data pipelines and models. Strong expertise in Snowflake, ETL/ELT, data modelling, and data warehousing is essential. Responsibilities Snowflake Development: Build and optimise Snowflake objects (databases, schemas, tables, views, tasks, streams, resource monitors). ETL/ELT Pipelines: Develop and maintain robust data pipelines using tools like dbt, Airflow, Azure Data Factory, or similar. Data Modelling: Implement dimensional models (star/snowflake schemas), handle SCDs, and design efficient structures for analytics. Performance Tuning: Optimise queries, manage clustering, caching, and warehouse sizing for cost and speed. Data Quality: Implement testing frameworks (dbt tests, Great Expectations) and ensure data accuracy and freshness. Security & Governance: Apply RBAC, masking policies, and comply with data governance standards. Collaboration: Work with BI teams to ensure semantic alignment and support self-service analytics. Documentation: Maintain clear technical documentation for pipelines, models, and processes. Qualifications Matric and a Degree in IT Strong SQL skills (complex queries, performance tuning) and proficiency in Python for data processing. Experience with ETL/ELT tools (dbt, Airflow, ADF, Informatica, Matillion). Solid understanding of data warehousing concepts (Kimball, Data Vault, normalization). Familiarity with cloud platforms (Azure preferred; AWS/GCP acceptable). Knowledge of data governance, security, and compliance (GDPR). Excellent problem-solving and communication skills. Skills Experience with Snowpark, UDFs, dynamic tables, and external tables. Exposure to streaming/CDC (Kafka, Fivetran, Debezium). BI tool integration (Power BI, Tableau, Looker). Certifications: SnowPro Core or Advanced.
