201 to 225 of 308 Remote Snowflake Jobs

DATA ENGINEER - PRIVATE HEALTHCARE - SNOWFLAKE, AZURE, ETL, SQL POWER BI, SSRS, PYTHON Progressive, forward thinking, innovative international private healthcare organisation urgently require a talented Data Engineer to help then shape the future state of the organisation You will: Help create and develop data as they move forward into their new Snowflake environment to ensure they deliver critical data in an … accurate and timely information to the rest of the organisation. Develop and implement data pipelines that extract, transform and load data using into our Snowflake environment for use with reporting tools such as Power BI and SSRS. You are: An Experienced Data Engineer - ETL With in depth experience of: Azure, Snowflake, Power BI, SSRS SQL, ETL Python Aptitude to Solve More ❯

RBAC). Monitoring performance and optimising costs using Azure-native and third-party tools. Proven experience in Azure cloud engineering and infrastructure automation. Experience supporting data platforms (Databricks, dbt, Snowflake). Comfortable working in Agile teams and collaborating with stakeholders. Certifications like Azure Solutions Architect Expert or Terraform Associate are a plus. Apply now or reach out for a confidential More ❯

be responsible for troubleshooting, DevOps, and facilitating cross-platform integration in a hybrid working environment. Key Responsibilities: System Integration & Architecture Design and implement solution integrations across Databricks, ServiceNow, SAP, Snowflake, and Mulesoft . Architect containerized applications with secure connectivity to backend services. Develop and test APIs for integration across cloud and on-premises environments. Application Development & Deployment Oversee the build More ❯

development and process automation, particularly within the Microsoft Power Platform ecosystem. Skilled in leveraging cloud technologies such as Azure for infrastructure and data solutions, with hands-on experience in Snowflake, Matillion, and QlikSense for modern analytics and data transformation. Leadership Capabilities: Demonstrated success in leading multidisciplinary IT teams, fostering collaboration across technical and business functions. Adept at managing relationships with More ❯

in e-commerce and B2B platforms, with exposure to ERP, CRM, Product, Data, and Supply Chain systems. Knowledge of modern platforms and technologies such as: Cloud: AWS, Azure Data: Snowflake, Kafka, databases Customer Platforms: Adobe Commerce, Salesforce, Informatica, Treasure Data Engineering: Java, Node.js, React, GraphQL, containers, Terraform Integration: MuleSoft, SAP IS, Apollo GraphQL, Kong Minorities, women, LGBTQ+ candidates, and individuals More ❯

in e-commerce and B2B platforms, with exposure to ERP, CRM, Product, Data, and Supply Chain systems. Knowledge of modern platforms and technologies such as: Cloud: AWS, Azure Data: Snowflake, Kafka, databases Customer Platforms: Adobe Commerce, Salesforce, Informatica, Treasure Data Engineering: Java, Node.js, React, GraphQL, containers, Terraform Integration: MuleSoft, SAP IS, Apollo GraphQL, Kong Minorities, women, LGBTQ+ candidates, and individuals More ❯

development and process automation, particularly within the Microsoft Power Platform ecosystem. Skilled in leveraging cloud technologies such as Azure for infrastructure and data solutions, with hands-on experience in Snowflake, Matillion, and QlikSense for modern analytics and data transformation. Leadership Capabilities: Demonstrated success in leading multidisciplinary IT teams, fostering collaboration across technical and business functions. Adept at managing relationships with More ❯

.NET, React, Azure) Job Type: Permanent Location: London (Hybrid) Industry: ReInsurance (Insurance experience is a must) Salary: £100,000-£110,000 + Bonus Skills: C#, .NET, React, Azure, REST, Snowflake Roc Search have partnered with a global Insurance company who are looking for a Senior Developer to join their Reinsurance unit. The Position The Senior Developer, development, and implementation of More ❯

As the platform lead, you'll head of strategic plan and shape the future of the Cloud Data offering, driving innovation through cutting-edge cloud and SaaS solutions (AWS, Snowflake, Salesforce, Vermilion and FactSet). Utilising deep experience in architectural design, implementation, and data engineering, the role holder will be at the forefront of enhancing the firm's client reporting 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 ❯

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 ❯

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 ❯

Senior Data Engineer London based (Hybrid working 2-3 days a week) 6 months contract £550 to 700 per day (Umbrella) iO Associates are working with a Snowflake Partner Consulting firm, who are looking for a Senior Data Engineer to support on some of their key Snowflake projects, to better serve and deliver valuable data products to their customers. The … right candidate will be well versed in Snowflake (including Snowpro certifications) as a Data Engineer, with strong SQL and Python skills, as well as tools such as dbt and Airflow. Additional skills in The successful candidate should have the following skills: Extensive hands-on experience with Snowflake data platform. Proficiency in SQL and ETL/ELT processes. Strong programming skills More ❯

Senior Data Engineer London based (Hybrid working 2-3 days a week) 6 months contract £550 to 700 per day (Umbrella) iO Associates are working with a Snowflake Partner Consulting firm, who are looking for a Senior Data Engineer to support on some of their key Snowflake projects, to better serve and deliver valuable data products to their customers. The … right candidate will be well versed in Snowflake (including Snowpro certifications) as a Data Engineer, with strong SQL and Python skills, as well as tools such as dbt and Airflow. Additional skills in The successful candidate should have the following skills: Extensive hands-on experience with Snowflake data platform. Proficiency in SQL and ETL/ELT processes. Strong programming skills More ❯

Senior Data Engineer London based (Hybrid working 2-3 days a week) 6 months contract £550 to 700 per day (Umbrella) iO Associates are working with a Snowflake Partner Consulting firm, who are looking for a Senior Data Engineer to support on some of their key Snowflake projects, to better serve and deliver valuable data products to their customers. The … right candidate will be well versed in Snowflake (including Snowpro certifications) as a Data Engineer, with strong SQL and Python skills, as well as tools such as dbt and Airflow. Additional skills in The successful candidate should have the following skills: Extensive hands-on experience with Snowflake data platform. Proficiency in SQL and ETL/ELT processes. Strong programming skills More ❯

high-growth, innovation-led team shaping the next generation of cloud security solutions. What You’ll Do Design, build, and maintain scalable data pipelines and models using dbt and Snowflake . Develop automated workflows and ETL processes in Python to ensure high reliability and performance. Collaborate with analytics and engineering teams to turn business needs into robust data solutions. Use … a best-in-class data culture. What You’ll Bring Proven experience as a Data Engineer in a fast-moving tech or SaaS environment. Strong expertise in dbt Core , Snowflake , Python , and SQL . Experience with ETL/ELT pipelines , workflow orchestration (ideally Prefect ), and AWS (S3, ECS). Familiarity with BI governance, compliance, and CI/CD practices. A 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 ❯