126 to 150 of 366 Snowflake Jobs in England

with the ability to collaborate and influence Demonstrate experience of a coding language (SQL as a minimum) Have experience of distributed data systems and data lakes, such as Databricks, Snowflake, S3 and/or Lakehouse Be familiar with infrastructure providers such as AWS, Azure or GCP Experience with Spark SQL is preferred Hold an academic qualification or show proven self More ❯

with the ability to collaborate and influence Demonstrate experience of a coding language (SQL as a minimum) Have experience of distributed data systems and data lakes, such as Databricks, Snowflake, S3 and/or Lakehouse Be familiar with infrastructure providers such as AWS, Azure or GCP Experience with Spark SQL is preferred Hold an academic qualification or show proven self More ❯

with the ability to collaborate and influence Demonstrate experience of a coding language (SQL as a minimum) Have experience of distributed data systems and data lakes, such as Databricks, Snowflake, S3 and/or Lakehouse Be familiar with infrastructure providers such as AWS, Azure or GCP Experience with Spark SQL is preferred Hold an academic qualification or show proven self More ❯

with the ability to collaborate and influence Demonstrate experience of a coding language (SQL as a minimum) Have experience of distributed data systems and data lakes, such as Databricks, Snowflake, S3 and/or Lakehouse Be familiar with infrastructure providers such as AWS, Azure or GCP Experience with Spark SQL is preferred Hold an academic qualification or show proven self More ❯

with the ability to collaborate and influence Demonstrate experience of a coding language (SQL as a minimum) Have experience of distributed data systems and data lakes, such as Databricks, Snowflake, S3 and/or Lakehouse Be familiar with infrastructure providers such as AWS, Azure or GCP Experience with Spark SQL is preferred Hold an academic qualification or show proven self More ❯

is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate More ❯

is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate More ❯

Leading technical pre-sales engagements, including RFP/RFI responses and solution presentations. Designing enterprise-scale data platforms using a variety of cloud platforms including Azure, AWS, GCP, Databricks, Snowflake, and Fabric. Advising senior stakeholders on data strategy, governance, and innovation roadmaps. Overseeing technical workshops and shaping solution blueprints that win new business. Mentoring cross-functional teams and providing technical More ❯

Leading technical pre-sales engagements, including RFP/RFI responses and solution presentations. Designing enterprise-scale data platforms using a variety of cloud platforms including Azure, AWS, GCP, Databricks, Snowflake, and Fabric. Advising senior stakeholders on data strategy, governance, and innovation roadmaps. Overseeing technical workshops and shaping solution blueprints that win new business. Mentoring cross-functional teams and providing technical More ❯

analytics, data modelling, architecture, and schema design. Experience building sophisticated dashboards using leading BI tools. What will make you stand out Deep expertise with advanced data platforms (e.g. Databricks, Snowflake, Palantir). Familiarity with Python-based or low-code frameworks for building data-driven applications. Background in financial services or the ability to quickly understand industry-specific challenges. This role More ❯

/warehouses). Desirable Awareness of cloud-based platforms (eg, Azure) and their implications for data and application strategy. Familiarity with data warehousing solutions or modern analytics stacks (eg, Snowflake, Databricks). Understanding of information security best practices and regulatory frameworks (eg, GDPR, ISO 27001). Knowledge of ITIL practices or service management frameworks. Your Experience We are looking for More ❯

platforms Confident communicator who can collaborate effectively with engineers and explain technical matters clearly to non-technical colleagues Bonus points if you have experience with: Data warehouse platforms like Snowflake Python or similar scripting for tooling and automation DevOps practices (CI/CD pipelines, monitoring, log management) SQL performance tuning and data modelling concepts Please note: My client cannot offer More ❯

and build consensus across sales and delivery teams. 🧠 Key Skills & Experience Proven expertise in enterprise data architecture across analytical and streaming environments. Deep knowledge of cloud platforms, data warehousing (Snowflake), and real-time systems. Experience with data modelling standards (e.g., 3NF, Dimensional, Vault 2.0) and tools (e.g., Erwin, Lucidchart). Strong grasp of data governance, metadata management, and compliance frameworks More ❯

and build consensus across sales and delivery teams. 🧠 Key Skills & Experience Proven expertise in enterprise data architecture across analytical and streaming environments. Deep knowledge of cloud platforms, data warehousing (Snowflake), and real-time systems. Experience with data modelling standards (e.g., 3NF, Dimensional, Vault 2.0) and tools (e.g., Erwin, Lucidchart). Strong grasp of data governance, metadata management, and compliance frameworks More ❯

and build consensus across sales and delivery teams. 🧠 Key Skills & Experience Proven expertise in enterprise data architecture across analytical and streaming environments. Deep knowledge of cloud platforms, data warehousing (Snowflake), and real-time systems. Experience with data modelling standards (e.g., 3NF, Dimensional, Vault 2.0) and tools (e.g., Erwin, Lucidchart). Strong grasp of data governance, metadata management, and compliance frameworks More ❯

and build consensus across sales and delivery teams. 🧠 Key Skills & Experience Proven expertise in enterprise data architecture across analytical and streaming environments. Deep knowledge of cloud platforms, data warehousing (Snowflake), and real-time systems. Experience with data modelling standards (e.g., 3NF, Dimensional, Vault 2.0) and tools (e.g., Erwin, Lucidchart). Strong grasp of data governance, metadata management, and compliance frameworks More ❯

and build consensus across sales and delivery teams. 🧠 Key Skills & Experience Proven expertise in enterprise data architecture across analytical and streaming environments. Deep knowledge of cloud platforms, data warehousing (Snowflake), and real-time systems. Experience with data modelling standards (e.g., 3NF, Dimensional, Vault 2.0) and tools (e.g., Erwin, Lucidchart). Strong grasp of data governance, metadata management, and compliance frameworks More ❯

and build consensus across sales and delivery teams. 🧠 Key Skills & Experience Proven expertise in enterprise data architecture across analytical and streaming environments. Deep knowledge of cloud platforms, data warehousing (Snowflake), and real-time systems. Experience with data modelling standards (e.g., 3NF, Dimensional, Vault 2.0) and tools (e.g., Erwin, Lucidchart). Strong grasp of data governance, metadata management, and compliance frameworks More ❯

and build consensus across sales and delivery teams. Key Skills & Experience Proven expertise in enterprise data architecture across analytical and streaming environments. Deep knowledge of cloud platforms, data warehousing (Snowflake), and real-time systems. Experience with data modelling standards (e.g., 3NF, Dimensional, Vault 2.0) and tools (e.g., Erwin, Lucidchart). Strong grasp of data governance, metadata management, and compliance frameworks More ❯

knowledge of algorithms and data structures. Degree in Computer Science or related field (preferred). Nice to Have Experience with TDD, BDD, or other testing methodologies. Familiarity with PostgreSQL, Snowflake, and data pipeline frameworks (Airflow, etc.). Experience with event streaming platforms (Kafka). Exposure to web frameworks (Django, Flask, FastAPI). Knowledge of Java. Domain knowledge in financial markets More ❯

knowledge of algorithms and data structures. Degree in Computer Science or related field (preferred). Nice to Have Experience with TDD, BDD, or other testing methodologies. Familiarity with PostgreSQL, Snowflake, and data pipeline frameworks (Airflow, etc.). Experience with event streaming platforms (Kafka). Exposure to web frameworks (Django, Flask, FastAPI). Knowledge of Java. Domain knowledge in financial markets More ❯

knowledge of algorithms and data structures. Degree in Computer Science or related field (preferred). Nice to Have Experience with TDD, BDD, or other testing methodologies. Familiarity with PostgreSQL, Snowflake, and data pipeline frameworks (Airflow, etc.). Experience with event streaming platforms (Kafka). Exposure to web frameworks (Django, Flask, FastAPI). Knowledge of Java. Domain knowledge in financial markets More ❯

knowledge of algorithms and data structures. Degree in Computer Science or related field (preferred). Nice to Have Experience with TDD, BDD, or other testing methodologies. Familiarity with PostgreSQL, Snowflake, and data pipeline frameworks (Airflow, etc.). Experience with event streaming platforms (Kafka). Exposure to web frameworks (Django, Flask, FastAPI). Knowledge of Java. Domain knowledge in financial markets More ❯

knowledge of algorithms and data structures. Degree in Computer Science or related field (preferred). Nice to Have Experience with TDD, BDD, or other testing methodologies. Familiarity with PostgreSQL, Snowflake, and data pipeline frameworks (Airflow, etc.). Experience with event streaming platforms (Kafka). Exposure to web frameworks (Django, Flask, FastAPI). Knowledge of Java. Domain knowledge in financial markets More ❯

some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn CI/CD tooling (e.g. GitHub Actions), containerization (Docker), and workflow orchestration tools (Airflow/AstroCloud) Strong debugging and troubleshooting skills More ❯