251 to 275 of 358 Remote Snowflake Jobs

The ability to break down complex problems and dive deep into overlooked issues Proficiency in SQL and experience querying and transforming large datasets (billions of rows) using tools like Snowflake Expertise in BI tools such as Tableau or Looker, with a knack for creating highly accessible and digestible visualisations and dashboards What’s on offer: Competitive salary and generous stock More ❯

The ability to break down complex problems and dive deep into overlooked issues Proficiency in SQL and experience querying and transforming large datasets (billions of rows) using tools like Snowflake Expertise in BI tools such as Tableau or Looker, with a knack for creating highly accessible and digestible visualisations and dashboards What’s on offer: Competitive salary and generous stock More ❯

force. We enable them to accelerate their journey to their digital future with our deep expertise and innovative approach. Our global technology partners – Oracle, Microsoft, AWS, Red Hat, and Snowflake – help us tackle any challenge by leveraging a technology-driven approach. Our people unlock our potential. They immerse themselves into the world of our customers to truly understand the unique More ❯

force. We enable them to accelerate their journey to their digital future with our deep expertise and innovative approach. Our global technology partners – Oracle, Microsoft, AWS, Red Hat, and Snowflake – help us tackle any challenge by leveraging a technology-driven approach. Our people unlock our potential. They immerse themselves into the world of our customers to truly understand the unique More ❯

force. We enable them to accelerate their journey to their digital future with our deep expertise and innovative approach. Our global technology partners – Oracle, Microsoft, AWS, Red Hat, and Snowflake – help us tackle any challenge by leveraging a technology-driven approach. Our people unlock our potential. They immerse themselves into the world of our customers to truly understand the unique More ❯

month contract. The role will involve building and optimising data pipelines, ensuring data quality, and enabling analytics and reporting across the business. Responsibilities: Develop and maintain data pipelines in Snowflake using Python and SQL. Write efficient SQL queries and stored procedures for data processing and reporting. Automate ingestion of structured and semi-structured data sources. Optimise data models and pipelines … stakeholders to deliver reliable datasets. Implement best practices in data quality, governance, and secu rity . Experience: 2-3 years' experience as a Data Engineer, with strong hands-on Snowflake expertise. Proven experience with SQL (advanced query writing, optimisation, performance tuning). Strong Python skills for data transformation, automation, and pipeline development. Experience with ETL/ELT tools (e.g., dbt More ❯

engineering, analytics, and business domains to design scalable, high-quality data models and pipelines. This is a fantastic opportunity to work on cutting-edge projects using technologies such as Snowflake, dbt, Data Vault, and Azure/AWS , while collaborating with data architects, data scientists, and business stakeholders to deliver insights that drive measurable impact. Key Responsibilities: Act as the bridge … Partner with cross-functional teams to deliver insights and recommendations that drive business outcomes. Key Skills: Strong proficiency in SQL for data transformation and analytics. Hands-on experience with Snowflake , dbt , Data Modelling , and Data Vault methodologies. Solid understanding of data warehousing concepts and version control (GitHub) . Experience with cloud platforms (AWS or Azure) and scripting in Python . More ❯

engineering, analytics, and business domains to design scalable, high-quality data models and pipelines. This is a fantastic opportunity to work on cutting-edge projects using technologies such as Snowflake, dbt, Data Vault, and Azure/AWS , while collaborating with data architects, data scientists, and business stakeholders to deliver insights that drive measurable impact. Key Responsibilities: Act as the bridge … Partner with cross-functional teams to deliver insights and recommendations that drive business outcomes. Key Skills: Strong proficiency in SQL for data transformation and analytics. Hands-on experience with Snowflake , dbt , Data Modelling , and Data Vault methodologies. Solid understanding of data warehousing concepts and version control (GitHub) . Experience with cloud platforms (AWS or Azure) and scripting in Python . More ❯

engineering, analytics, and business domains to design scalable, high-quality data models and pipelines. This is a fantastic opportunity to work on cutting-edge projects using technologies such as Snowflake, dbt, Data Vault, and Azure/AWS , while collaborating with data architects, data scientists, and business stakeholders to deliver insights that drive measurable impact. Key Responsibilities: Act as the bridge … Partner with cross-functional teams to deliver insights and recommendations that drive business outcomes. Key Skills: Strong proficiency in SQL for data transformation and analytics. Hands-on experience with Snowflake , dbt , Data Modelling , and Data Vault methodologies. Solid understanding of data warehousing concepts and version control (GitHub) . Experience with cloud platforms (AWS or Azure) and scripting in Python . More ❯

boundaries of what’s possible with data and AI. What You’ll Do Design & build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and … modern data tools and cloud platforms to turn data into something powerful. You’ll bring: 3+ years’ experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire More ❯

boundaries of what's possible with data and AI. What You'll Do Design & build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and … modern data tools and cloud platforms to turn data into something powerful. You'll bring: 3+ years' experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire More ❯

boundaries of what’s possible with data and AI. What You’ll Do Design & build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and … modern data tools and cloud platforms to turn data into something powerful. You’ll bring: 3+ years’ experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire More ❯

boundaries of what’s possible with data and AI. What You’ll Do Design & build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and … modern data tools and cloud platforms to turn data into something powerful. You’ll bring: 3+ years’ experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire More ❯

boundaries of what’s possible with data and AI. What You’ll Do Design & build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and … modern data tools and cloud platforms to turn data into something powerful. You’ll bring: 3+ years’ experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire More ❯

on Python/Pyspark/Snowpark for development and integration. Data Pipeline and Warehousing Optimization: Design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless architectures, containerization (e.g., Docker, Kubernetes … CI/CD tools such as Azure DevOps pipelines, and Infrastructure as Code. Professional-level skills in Python/Pyspark development, database management, and data warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative More ❯

on Python/Pyspark/Snowpark for development and integration. Data Pipeline and Warehousing Optimization: Design, implement, and maintain efficient data workflows and data warehousing solutions using tools like Snowflake to ensure seamless data ingestion, transformation, storage, and retrieval. Cloud-Native Solutions: Leverage Azure cloud platforms to deploy scalable data and software solutions, incorporating serverless architectures, containerization (e.g., Docker, Kubernetes … CI/CD tools such as Azure DevOps pipelines, and Infrastructure as Code. Professional-level skills in Python/Pyspark development, database management, and data warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative More ❯

Akkodis is partnering with a reputable client in Finance and they are looking for a Data Engineer with strong Databricks experience to expand their IT Team. They are currently improving their CX transformation programme and making changes to their institutional More ❯

SQL Developer (Snowflake) Location: Fully Remote (UK-based) Employment Type: Permanent Salary: 35,000 - 40,000 We are working with a UK-based organisation dedicated to using data to enhance decision-making and operational efficiency. They are seeking a SQL/Snowflake Developer to join their collaborative data team, contributing to data integration, modelling, and reporting initiatives. This is an … solutions. Youll work within a friendly and motivated data team of around five people, including BI Developers, SQL Developers, and Integration Engineers. What Youll Do As a SQL Developer (Snowflake) , youll take ownership of developing, maintaining, and optimising a modern data warehouse environment. Your day-to-day work will focus on SQL development within Snowflake, supporting BAU and enhancement activities … members with SQL-related tasks and good practice guidance. Benefits Fully remote working flexibility to work from anywhere in the UK. Professional development support , including training and certifications (e.g. Snowflake or SQL). Collaborative, inclusive culture where your input is valued. Exposure to modern cloud data technologies and enterprise-level projects. Make a real-world impact through meaningful, tech-for More ❯

SQL Developer (Snowflake) Location: Fully Remote (UK-based) Employment Type: Permanent Salary: £35,000 - £40,000 We are working with a UK-based organisation dedicated to using data to enhance decision-making and operational efficiency. They are seeking a SQL/Snowflake Developer to join their collaborative data team, contributing to data integration, modelling, and reporting initiatives. This is an … ll work within a friendly and motivated data team of around five people, including BI Developers, SQL Developers, and Integration Engineers. What You’ll Do As a SQL Developer (Snowflake) , you’ll take ownership of developing, maintaining, and optimising a modern data warehouse environment. Your day-to-day work will focus on SQL development within Snowflake, supporting BAU and enhancement … members with SQL-related tasks and good practice guidance. Benefits Fully remote working – flexibility to work from anywhere in the UK. Professional development support , including training and certifications (e.g. Snowflake or SQL). Collaborative, inclusive culture where your input is valued. Exposure to modern cloud data technologies and enterprise-level projects. Make a real-world impact through meaningful, tech-for More ❯

and integration across platforms Experience Required Proven experience in designing modern data platforms Strong understanding of data governance, cataloguing, and data lifecycle Experience with cloud data platforms (Databricks or Snowflake) Familiarity with AI/ML driven data processing would be highly beneficial. This is a primarily remote role, requiring very infrequent travel across Europe to the client's international offices. More ❯

and integration across platforms Experience Required Proven experience in designing modern data platforms Strong understanding of data governance, cataloguing, and data lifecycle Experience with cloud data platforms (Databricks or Snowflake) Familiarity with AI/ML driven data processing would be highly beneficial. This is a primarily remote role, requiring very infrequent travel across Europe to the client's international offices. More ❯

independently with minimal internal support. Strong stakeholder engagement skills, particularly with commercial and operational teams. Experience in the energy sector or B2B environments is desirable. Technical Environment Data platform: Snowflake Production environment: Clients internal Data platform and AWS-based tools Data access will be arranged in collaboration with internal teams. More ❯

independently with minimal internal support. Strong stakeholder engagement skills, particularly with commercial and operational teams. Experience in the energy sector or B2B environments is desirable. Technical Environment Data platform: Snowflake Production environment: Clients internal Data platform and AWS-based tools Data access will be arranged in collaboration with internal teams. More ❯

to Heroku and other Cloud based deployment products. Experience working with a PostgreSQL database. Working knowledge of Git and GitHub. Understanding of GraphQL. Experience working with data warehouses (Clickhouse, Snowflake, GCP etc) (beneficial) Company Culture and Benefits Regular social events and ongoing clubs Provided Latest MacBook Pro laptop to work from Flexi-hours Hybrid Working £200 grant to make your More ❯

peering, PrivateLink, PSC/PSA). (Required) . Your knowledge of compliance frameworks relevant to cloud data will be invaluable in maintaining a secure and compliant data environment. (Optional) Snowflake and Databricks (Optional, but highly desired): Leverage your experience with Snowflake and Databricks to enhance our data platform's capabilities and performance. While not mandatory, experience with these technologies is More ❯