201 to 225 of 298 Remote Snowflake Jobs

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 ❯

.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 ❯

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 ❯

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 ❯

Senior Data Engineer (Snowflake) Manchester Based - Hybrid working 4 days in office Salary £75K to £80K A Consultancy firm is looking for an experienced Senior Data Engineer to their data team. You will drive innovative data solutions within our organisation. The main focus of this Senior Data Engineer/Snowflake Specialist role is to serve as the technical authority and … leader for complex data engineering initiatives, with a specialised emphasis on Snowflake Cloud Data Warehouse architecture and its internal features. You will be responsible for the following activities Design and Build Data Pipelines: The role involves leveraging expertise in ANSI-SQL and Python to design and construct robust and efficient data pipelines. Implement Data Models: You will be responsible for … Data Governance: You must maintain strict adherence to data management and governance principles throughout all activities. Essential Skills Modelling (Data models: Dimensional, ER, Data Vault) Extensive experience working with Snowflake SQL (ANSI-SQL proficiency for pipelines) Programming language such as Python Manchester Based - Hybrid working 4 days in office | Salary £75K to £80K If you are a certified expert in More ❯

Senior Engineer - London - 140k - AWS - Python - Snowflake - Hybrid A leading global trading firm is seeking a Senior Engineer to join its Front Office Technology team and drive the rebuild of the E Tools US Power Analytics Platform. This high-impact role offers the chance to work side by side with traders and commercial teams to deliver a next-generation, cloud … What You'll Bring: - Strong professional experience with Python and a deep understanding of object-oriented programming. - Advanced SQL knowledge and experience with relational databases. - Exposure to AWS and Snowflake technologies. - Strong communication skills and the ability to engage effectively with both technical and commercial stakeholders. Benefits: - Competitive salary and up to 30% performance bonus - Quarterly Innovation & Collaboration Awards - Hybrid More ❯