151 to 175 of 752 Snowflake Jobs in England

will: recognise opportunities to reuse existing data flows optimise the code to ensure processes perform optimally Tech Stack: Cloud: On AWS Infrastructure/Access Management: Using Terraform Data Platform: Snowflake Data Integration: Tool Fivetran Data Transformation Tool: DBT core Data Orchestration Tool: MWWA(Airflow managed by AWS) CI/CD Pipelines: Github Actions Program Languages: SQL, Python and Terraform For More ❯

building and operating scalable data platforms. Proven experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management More ❯

building and operating scalable data platforms. Proven experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management More ❯

building and operating scalable data platforms. Proven experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management More ❯

evolving environment. About You Highly proficient in SQL and Python . Experience with data modelling (3NF, Kimball) and modern data integration tools. Exposure to cloud-based platforms such as Snowflake , BigQuery , or similar is advantageous. Experience with DBT , Airbyte , or APIs is desirable. Strong communicator who can link data initiatives to commercial outcomes. Enjoys mentoring, providing direction, and developing others More ❯

evolving environment. About You Highly proficient in SQL and Python . Experience with data modelling (3NF, Kimball) and modern data integration tools. Exposure to cloud-based platforms such as Snowflake , BigQuery , or similar is advantageous. Experience with DBT , Airbyte , or APIs is desirable. Strong communicator who can link data initiatives to commercial outcomes. Enjoys mentoring, providing direction, and developing others More ❯

evolving environment. About You Highly proficient in SQL and Python . Experience with data modelling (3NF, Kimball) and modern data integration tools. Exposure to cloud-based platforms such as Snowflake , BigQuery , or similar is advantageous. Experience with DBT , Airbyte , or APIs is desirable. Strong communicator who can link data initiatives to commercial outcomes. Enjoys mentoring, providing direction, and developing others More ❯

evolving environment. About You Highly proficient in SQL and Python . Experience with data modelling (3NF, Kimball) and modern data integration tools. Exposure to cloud-based platforms such as Snowflake , BigQuery , or similar is advantageous. Experience with DBT , Airbyte , or APIs is desirable. Strong communicator who can link data initiatives to commercial outcomes. Enjoys mentoring, providing direction, and developing others More ❯

Science, Engineering, Data Science, or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement More ❯

Science, Engineering, Data Science, or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement More ❯

Science, Engineering, Data Science, or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with modern data platforms and technologies (e.g., Snowflake, Databricks, BigQuery, Azure/AWS/GCP data services). Deep knowledge of data modeling, APIs, event-driven architectures, and cloud-native data architectures. Proven ability to design and implement More ❯

Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power BI Experience with non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) advantageous Row Level Security (Analysis Services, PowerBI.com, SQL Server) Performance optimisation (Partitioning, Understanding of columnar database concept, SQL indexing) Troubleshooting (SQL Profiler or other More ❯

Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power BI Experience with non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) advantageous Row Level Security (Analysis Services, PowerBI.com, SQL Server) Performance optimisation (Partitioning, Understanding of columnar database concept, SQL indexing) Troubleshooting (SQL Profiler or other More ❯

Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power BI Experience with non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) advantageous Row Level Security (Analysis Services, PowerBI.com, SQL Server) Performance optimisation (Partitioning, Understanding of columnar database concept, SQL indexing) Troubleshooting (SQL Profiler or other More ❯

on backend technologies and building distributed services. Proficiency in one or more programming languages including Java, Python, Scala or Golang. Experience with columnar, analytical cloud data warehouses (e.g., BigQuery, Snowflake, Redshift) and data processing frameworks like Apache Spark is essential. Experience with cloud platforms like AWS, Azure, or Google Cloud. Strong proficiency in designing, developing, and deploying microservices architecture, with More ❯

Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for More ❯

across technical and non-technical teams BENEFITS Salary up to £80,000 Opportunity to shape a new analytics function and drive real business impact Work with modern cloud infrastructure (Snowflake, AWS, Power BI) Hybrid working – 3 days a week in central London More ❯

across technical and non-technical teams BENEFITS Salary up to £80,000 Opportunity to shape a new analytics function and drive real business impact Work with modern cloud infrastructure (Snowflake, AWS, Power BI) Hybrid working – 3 days a week in central London More ❯

across technical and non-technical teams BENEFITS Salary up to 80,000 Opportunity to shape a new analytics function and drive real business impact Work with modern cloud infrastructure (Snowflake, AWS, Power BI) Hybrid working 3 days a week in central London More ❯

across technical and non-technical teams BENEFITS Salary up to 80,000 Opportunity to shape a new analytics function and drive real business impact Work with modern cloud infrastructure (Snowflake, AWS, Power BI) Hybrid working 3 days a week in central London More ❯

business problems, including Generative AI applications What we’re looking for: Hands-on expertise in Python, SQL, Spark, Airflow, Terraform Proven experience with cloud-native data platforms (AWS, Databricks, Snowflake) Strong track record of mentoring or coaching other engineers Knowledge of CI/CD tooling (Git, Jenkins or similar) Experience in batch and real-time data processing Exposure to data More ❯

Microsoft Azure, SQL/DB, Salesforce, Java/JavaScript, BI/Analytics, etc. (Preferred but not mandatory) Understanding of SaaS, iPaaS, and Data platforms like Salesforce, NetSuite, Boomi, Apigee, Snowflake, Azure Data Platform, etc. (Preferred but not mandatory) Experience in Designing Solutions, Requirements Gathering, Team Leadership, Training & Development, Technical Document Preparation, and Object Oriented Analysis. Experience in engineering and software More ❯

through visualisations. Experience with Kimball modelling, data manipulation, mining, and validation. SQL proficiency and familiarity with cloud platforms (Azure or AWS). Exposure to Data Warehousing concepts, ideally with Snowflake or DataFactory. PL-300 certification or near completion. What You'll Bring: Demonstrable experience in analytics within a professional environment. Ability to craft compelling, clear, and engaging stories with data. More ❯

through visualisations. Experience with Kimball modelling, data manipulation, mining, and validation. SQL proficiency and familiarity with cloud platforms (Azure or AWS). Exposure to Data Warehousing concepts, ideally with Snowflake or DataFactory. PL-300 certification or near completion. What You’ll Bring: Demonstrable experience in analytics within a professional environment. Ability to craft compelling, clear, and engaging stories with data. More ❯

through visualisations. Experience with Kimball modelling, data manipulation, mining, and validation. SQL proficiency and familiarity with cloud platforms (Azure or AWS). Exposure to Data Warehousing concepts, ideally with Snowflake or DataFactory. PL-300 certification or near completion. What You’ll Bring: Demonstrable experience in analytics within a professional environment. Ability to craft compelling, clear, and engaging stories with data. More ❯