201 to 225 of 371 Remote Snowflake Jobs

Success, Operations, or Digital Experience). Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency in Tableau, Qlik, or similar visualization tools. Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes. Exposure to Python or R for automation, experimentation, or analytics. Excellent communication and storytelling skills with both technical and non-technical audiences. Proactive, growth-oriented More ❯

Success, Operations, or Digital Experience). Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency in Tableau, Qlik, or similar visualization tools. Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes. Exposure to Python or R for automation, experimentation, or analytics. Excellent communication and storytelling skills with both technical and non-technical audiences. Proactive, growth-oriented More ❯

Success, Operations, or Digital Experience). Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency in Tableau, Qlik, or similar visualization tools. Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes. Exposure to Python or R for automation, experimentation, or analytics. Excellent communication and storytelling skills with both technical and non-technical audiences. Proactive, growth-oriented More ❯

Success, Operations, or Digital Experience). Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency in Tableau, Qlik, or similar visualization tools. Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes. Exposure to Python or R for automation, experimentation, or analytics. Excellent communication and storytelling skills with both technical and non-technical audiences. Proactive, growth-oriented More ❯

Success, Operations, or Digital Experience). Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency in Tableau, Qlik, or similar visualization tools. Experience with big data tools (Snowflake, Databricks, Spark) and ETL processes. Exposure to Python or R for automation, experimentation, or analytics. Excellent communication and storytelling skills with both technical and non-technical audiences. Proactive, growth-oriented More ❯

diverse audiences—from technical architects to CDOs. Deep Technical Expertise Across Data & AI: You possess comprehensive technical knowledge spanning the entire Data & AI landscape, including cloud platforms (Azure, Databricks, Snowflake, AWS &GCP). Knowledge of AI/ML, Gen AI and Agentic AI capabilities: You understand not just the "what" but the "how" and "why" behind these technologies, enabling you More ❯

diverse audiences—from technical architects to CDOs. Deep Technical Expertise Across Data & AI: You possess comprehensive technical knowledge spanning the entire Data & AI landscape, including cloud platforms (Azure, Databricks, Snowflake, AWS &GCP). Knowledge of AI/ML, Gen AI and Agentic AI capabilities: You understand not just the "what" but the "how" and "why" behind these technologies, enabling you More ❯

diverse audiences—from technical architects to CDOs. Deep Technical Expertise Across Data & AI: You possess comprehensive technical knowledge spanning the entire Data & AI landscape, including cloud platforms (Azure, Databricks, Snowflake, AWS &GCP). Knowledge of AI/ML, Gen AI and Agentic AI capabilities: You understand not just the "what" but the "how" and "why" behind these technologies, enabling you More ❯

diverse audiences—from technical architects to CDOs. Deep Technical Expertise Across Data & AI: You possess comprehensive technical knowledge spanning the entire Data & AI landscape, including cloud platforms (Azure, Databricks, Snowflake, AWS &GCP). Knowledge of AI/ML, Gen AI and Agentic AI capabilities: You understand not just the "what" but the "how" and "why" behind these technologies, enabling you More ❯

diverse audiences—from technical architects to CDOs. Deep Technical Expertise Across Data & AI: You possess comprehensive technical knowledge spanning the entire Data & AI landscape, including cloud platforms (Azure, Databricks, Snowflake, AWS &GCP). Knowledge of AI/ML, Gen AI and Agentic AI capabilities: You understand not just the "what" but the "how" and "why" behind these technologies, enabling you More ❯

Maintain a user-centred mindset , constantly measuring and iterating on how engineering decisions translate into product value. Technical Environment: Languages & Frameworks : Python, TypeScript, React, Svelte Infrastructure & Tools : AWS, PostgreSQL, Snowflake, CI/CD pipelines Ways of Working : Agile squads, continuous delivery, outcome-oriented culture You’ll work in a collaborative, engineering-led environment where autonomy, accountability, and thoughtful innovation are More ❯

Maintain a user-centred mindset , constantly measuring and iterating on how engineering decisions translate into product value. Technical Environment: Languages & Frameworks : Python, TypeScript, React, Svelte Infrastructure & Tools : AWS, PostgreSQL, Snowflake, CI/CD pipelines Ways of Working : Agile squads, continuous delivery, outcome-oriented culture You’ll work in a collaborative, engineering-led environment where autonomy, accountability, and thoughtful innovation are More ❯

Maintain a user-centred mindset , constantly measuring and iterating on how engineering decisions translate into product value. Technical Environment: Languages & Frameworks : Python, TypeScript, React, Svelte Infrastructure & Tools : AWS, PostgreSQL, Snowflake, CI/CD pipelines Ways of Working : Agile squads, continuous delivery, outcome-oriented culture You’ll work in a collaborative, engineering-led environment where autonomy, accountability, and thoughtful innovation are More ❯

Maintain a user-centred mindset , constantly measuring and iterating on how engineering decisions translate into product value. Technical Environment: Languages & Frameworks : Python, TypeScript, React, Svelte Infrastructure & Tools : AWS, PostgreSQL, Snowflake, CI/CD pipelines Ways of Working : Agile squads, continuous delivery, outcome-oriented culture You’ll work in a collaborative, engineering-led environment where autonomy, accountability, and thoughtful innovation are More ❯

Maintain a user-centred mindset , constantly measuring and iterating on how engineering decisions translate into product value. Technical Environment: Languages & Frameworks : Python, TypeScript, React, Svelte Infrastructure & Tools : AWS, PostgreSQL, Snowflake, CI/CD pipelines Ways of Working : Agile squads, continuous delivery, outcome-oriented culture You’ll work in a collaborative, engineering-led environment where autonomy, accountability, and thoughtful innovation are More ❯

Proven expertise working with Microsoft Azure In-depth knowledge of data modelling, data integration, and data management principles and techniques. Experience working with Modern Data Warehouse platform such as Snowflake or similar. Whats in it for you: Competitive salary and performance-based bonuses. Flexible work hours and remote work options. Competitive pension contributions Private health and dental care. Income protection More ❯

buildkite) and Docker Cloud: You have worked with cloud-based environments before (we use AWS) SQL: You have a good grasp of SQL, particularly with cloud data warehouses like Snowflake Version control: You are proficient with git Soft Skills: You are an excellent communicator, with an ability to translate non-technical requirements into clear, actionable pieces of work You have More ❯

developing the next generation of tech leaders. They are known for their collaborative culture, focus on learning, and delivery of innovative data solutions. The Role We’re seeking a Snowflake Centre of Excellence Lead to be the technical authority on all things Snowflake. In this hands-on role, you’ll: Establish and lead the Snowflake Centre of Excellence. Develop Snowflake … IP, including best practices, accelerators, frameworks, and reference architectures. Provide technical assurance and leadership across delivery projects. Support pre-sales activities, thought leadership, and client advisory. Explore Snowflake’s app development and integrations to power new business offerings. Collaborate with colleagues to design repeatable Snowflake-based solutions. Skills & Experience Essential: Extensive hands-on experience designing and delivering Snowflake solutions, including … Snowpipe, Streams & Tasks, Data Sharing, Native Apps, Snowpark, Data Clean Rooms, and Cortex. Track record of training and upskilling colleagues or clients in Snowflake. Recognised Snowflake certifications (SnowPro Core, SnowPro Advanced: Architect/Data Engineer). Experience optimising Snowflake performance and cost. Solid understanding of software engineering lifecycles and modern development practices (Python or similar). Experience leading multidisciplinary data More ❯

developing the next generation of tech leaders. They are known for their collaborative culture, focus on learning, and delivery of innovative data solutions. The Role We’re seeking a Snowflake Centre of Excellence Lead to be the technical authority on all things Snowflake. In this hands-on role, you’ll: Establish and lead the Snowflake Centre of Excellence. Develop Snowflake … IP, including best practices, accelerators, frameworks, and reference architectures. Provide technical assurance and leadership across delivery projects. Support pre-sales activities, thought leadership, and client advisory. Explore Snowflake’s app development and integrations to power new business offerings. Collaborate with colleagues to design repeatable Snowflake-based solutions. Skills & Experience Essential: Extensive hands-on experience designing and delivering Snowflake solutions, including … Snowpipe, Streams & Tasks, Data Sharing, Native Apps, Snowpark, Data Clean Rooms, and Cortex. Track record of training and upskilling colleagues or clients in Snowflake. Recognised Snowflake certifications (SnowPro Core, SnowPro Advanced: Architect/Data Engineer). Experience optimising Snowflake performance and cost. Solid understanding of software engineering lifecycles and modern development practices (Python or similar). Experience leading multidisciplinary data More ❯

developing the next generation of tech leaders. They are known for their collaborative culture, focus on learning, and delivery of innovative data solutions. The Role We’re seeking a Snowflake Centre of Excellence Lead to be the technical authority on all things Snowflake. In this hands-on role, you’ll: Establish and lead the Snowflake Centre of Excellence. Develop Snowflake … IP, including best practices, accelerators, frameworks, and reference architectures. Provide technical assurance and leadership across delivery projects. Support pre-sales activities, thought leadership, and client advisory. Explore Snowflake’s app development and integrations to power new business offerings. Collaborate with colleagues to design repeatable Snowflake-based solutions. Skills & Experience Essential: Extensive hands-on experience designing and delivering Snowflake solutions, including … Snowpipe, Streams & Tasks, Data Sharing, Native Apps, Snowpark, Data Clean Rooms, and Cortex. Track record of training and upskilling colleagues or clients in Snowflake. Recognised Snowflake certifications (SnowPro Core, SnowPro Advanced: Architect/Data Engineer). Experience optimising Snowflake performance and cost. Solid understanding of software engineering lifecycles and modern development practices (Python or similar). Experience leading multidisciplinary data More ❯

developing the next generation of tech leaders. They are known for their collaborative culture, focus on learning, and delivery of innovative data solutions. The Role We’re seeking a Snowflake Centre of Excellence Lead to be the technical authority on all things Snowflake. In this hands-on role, you’ll: Establish and lead the Snowflake Centre of Excellence. Develop Snowflake … IP, including best practices, accelerators, frameworks, and reference architectures. Provide technical assurance and leadership across delivery projects. Support pre-sales activities, thought leadership, and client advisory. Explore Snowflake’s app development and integrations to power new business offerings. Collaborate with colleagues to design repeatable Snowflake-based solutions. Skills & Experience Essential: Extensive hands-on experience designing and delivering Snowflake solutions, including … Snowpipe, Streams & Tasks, Data Sharing, Native Apps, Snowpark, Data Clean Rooms, and Cortex. Track record of training and upskilling colleagues or clients in Snowflake. Recognised Snowflake certifications (SnowPro Core, SnowPro Advanced: Architect/Data Engineer). Experience optimising Snowflake performance and cost. Solid understanding of software engineering lifecycles and modern development practices (Python or similar). Experience leading multidisciplinary data More ❯

developing the next generation of tech leaders. They are known for their collaborative culture, focus on learning, and delivery of innovative data solutions. The Role We’re seeking a Snowflake Centre of Excellence Lead to be the technical authority on all things Snowflake. In this hands-on role, you’ll: Establish and lead the Snowflake Centre of Excellence. Develop Snowflake … IP, including best practices, accelerators, frameworks, and reference architectures. Provide technical assurance and leadership across delivery projects. Support pre-sales activities, thought leadership, and client advisory. Explore Snowflake’s app development and integrations to power new business offerings. Collaborate with colleagues to design repeatable Snowflake-based solutions. Skills & Experience Essential: Extensive hands-on experience designing and delivering Snowflake solutions, including … Snowpipe, Streams & Tasks, Data Sharing, Native Apps, Snowpark, Data Clean Rooms, and Cortex. Track record of training and upskilling colleagues or clients in Snowflake. Recognised Snowflake certifications (SnowPro Core, SnowPro Advanced: Architect/Data Engineer). Experience optimising Snowflake performance and cost. Solid understanding of software engineering lifecycles and modern development practices (Python or similar). Experience leading multidisciplinary data More ❯

the technical design, engineering quality, and delivery of data ingestion, integration, transformation, and data product pipelines. The ideal candidate will bring deep expertise in AWS cloud-native data platforms, Snowflake, and modern data engineering practices, with proven experience in banking and insurance domains. Key responsibilities: Lead the design and development of data ingestion, integration, and transformation frameworks. Architect and deliver … platforms, including: AWS Glue, Lambda, Step Functions, Athena, Redshift, S3, CloudWatch AWS SDKs, Boto3, and serverless architecture patterns Strong programming skills in Python and Apache Spark Proven experience in Snowflake data engineering, including: Snowflake SQL, Snowpipe, Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration More ❯

the technical design, engineering quality, and delivery of data ingestion, integration, transformation, and data product pipelines. The ideal candidate will bring deep expertise in AWS cloud-native data platforms, Snowflake, and modern data engineering practices, with proven experience in banking and insurance domains. Key responsibilities: Lead the design and development of data ingestion, integration, and transformation frameworks. Architect and deliver … platforms, including: AWS Glue, Lambda, Step Functions, Athena, Redshift, S3, CloudWatch AWS SDKs, Boto3, and serverless architecture patterns Strong programming skills in Python and Apache Spark Proven experience in Snowflake data engineering, including: Snowflake SQL, Snowpipe, Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration More ❯

the technical design, engineering quality, and delivery of data ingestion, integration, transformation, and data product pipelines. The ideal candidate will bring deep expertise in AWS cloud-native data platforms, Snowflake, and modern data engineering practices, with proven experience in banking and insurance domains. Key responsibilities: Lead the design and development of data ingestion, integration, and transformation frameworks. Architect and deliver … platforms, including: AWS Glue, Lambda, Step Functions, Athena, Redshift, S3, CloudWatch AWS SDKs, Boto3, and serverless architecture patterns Strong programming skills in Python and Apache Spark Proven experience in Snowflake data engineering, including: Snowflake SQL, Snowpipe, Streams & Tasks, and performance optimization Integration with AWS services and orchestration tools Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration More ❯