26 to 37 of 37 Remote Snowflake Schema Jobs

stakeholders to fulfil their data requirements and support their work.* Collect, process, and transform datasets from various sources, ensuring data quality and integrity.* Optimise and maintain the organisation's Snowflake infrastructure, providing performance tuning, enhancements, and regular "MOT" checks.* Develop and maintain DBT pipelines, mainly on Snowflake, to enable efficient transformation and modelling of data.* Implement efficient data … Keep abreast of industry trends and emerging technologies in data engineering and cloud infrastructure, continuously improving skills and knowledge. Profile * The Data Engineer will have proven experience working with Snowflake infrastructure, including optimisation and maintenance.* Experience with DBT for data transformation and modelling, ideally in a Snowflake environment.* Proficient in SQL and experienced in database design and administration. 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. … 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. More ❯

and maintaining the company’s data infrastructure and pipelines. This is very much a greenfield environment — the business is currently operating on a serverless setup with plans to implement Snowflake as their data warehouse and lake. You’ll play a key role in designing and deploying the data architecture, integrating data sources, and helping the business get more value … independently and guiding the early stages of data platform implementation. Key Responsibilities Design, build, and manage scalable data pipelines and integrations between core business systems. Lead the implementation of Snowflake as the central data warehouse/lake. Work with third-party providers and internal teams to ingest, transform, and structure data effectively. Replace and modernise existing integrations (e.g. Celigo … environment. Skills & Experience Proven experience as a Data Engineer within a modern data or cloud environment. Strong knowledge of ETL/ELT pipeline design and data modelling. Experience with Snowflake (or similar cloud-based data warehouse solutions). Familiarity with integration and automation tools such as Boomi, Celigo, or equivalent. Experience working in a serverless or modern cloud environment More ❯

and maintaining the company’s data infrastructure and pipelines. This is very much a greenfield environment — the business is currently operating on a serverless setup with plans to implement Snowflake as their data warehouse and lake. You’ll play a key role in designing and deploying the data architecture, integrating data sources, and helping the business get more value … independently and guiding the early stages of data platform implementation. Key Responsibilities Design, build, and manage scalable data pipelines and integrations between core business systems. Lead the implementation of Snowflake as the central data warehouse/lake. Work with third-party providers and internal teams to ingest, transform, and structure data effectively. Replace and modernise existing integrations (e.g. Celigo … environment. Skills & Experience Proven experience as a Data Engineer within a modern data or cloud environment. Strong knowledge of ETL/ELT pipeline design and data modelling. Experience with Snowflake (or similar cloud-based data warehouse solutions). Familiarity with integration and automation tools such as Boomi, Celigo, or equivalent. Experience working in a serverless or modern cloud environment More ❯

Data Engineer (Snowflake) Columbia, MD (Hybrid) Were looking for an experienced Data Engineer to design and build scalable data pipelines and solutions inSnowflake for a leading client. Responsibilities: Develop and optimize Snowflake data models, pipelines, and performance. Build and maintain CI/CD processes and Snowflake features (Streams, Tasks, Views Collaborate with data architects and analysts to … with Snowflake. Strong SQL, Python (Snowpark), and data modeling experience. Familiar with CI/CD (Jenkins), dbt/Kafka integration. Excellent communication and problem-solving skills. Nice to Have: Snowflake certification, healthcare domain experience. Location: Columbia, MD (Hybrid 2 days/month onsite)Type: 12-month Contract-to-Hire More ❯

initiatives. What we’d love you to bring: Proven, hands-on expertise in data modelling, with a strong track record of designing and implementing complex dimensional models, star and snowflake schemas, and enterprise-wide canonical data models Proficiency in converting intricate insurance business processes into scalable and user-friendly data structures that drive analytics, reporting, and scenarios powered by … Delta Live Tables Strong background in building high-performance, scalable data models that support self-service BI and regulatory reporting requirements Direct exposure to cloud-native data infrastructures (Databricks, Snowflake) especially in AWS environments is a plus Experience in building and maintaining batch and streaming data pipelines using Kafka, Airflow, or Spark Familiarity with governance frameworks, access controls (RBAC More ❯

initiatives. What we’d love you to bring: Proven, hands-on expertise in data modelling, with a strong track record of designing and implementing complex dimensional models, star and snowflake schemas, and enterprise-wide canonical data models Proficiency in converting intricate insurance business processes into scalable and user-friendly data structures that drive analytics, reporting, and scenarios powered by … Delta Live Tables Strong background in building high-performance, scalable data models that support self-service BI and regulatory reporting requirements Direct exposure to cloud-native data infrastructures (Databricks, Snowflake) especially in AWS environments is a plus Experience in building and maintaining batch and streaming data pipelines using Kafka, Airflow, or Spark Familiarity with governance frameworks, access controls (RBAC More ❯

Senior Engineer to join our Data & Analytics team. This role is instrumental in delivering clean, modern, and efficient data solutions across cloud-native platforms. Key Responsibilities Develop solutions across Snowflake, Azure, and DBT platforms. Lead migration and optimisation of applications using Azure cloud-native services. Write clean, testable, and maintainable code following industry standards. Implement CI/CD pipelines … deliver user-centric solutions. About the Candidate The ideal candidate will possess the following: Strong understanding of data warehousing, ELT/ETL processes, and data modelling. Proficiency in Azure, Snowflake, and DBT. Experience in application modernisation and migration. Ability to produce clean, testable, maintainable code. CI/CD pipeline implementation and test automation. Familiarity with AI-powered development tools More ❯

with data scientists, analysts, and engineers to deliver clean, structured, and reliable data. Develop robust data transformations in Python and SQL, ensuring performance and accuracy. Work hands-on with Snowflake to model, optimise, and manage data flows. Continuously improve data engineering practices - from automation to observability. Bring ideas to the table: help shape how data is collected, processed, and … years of experience in data engineering or a similar role. Strong Python skills for data processing and pipeline development. Proven experience writing complex and efficient SQL. Hands-on Snowflake experience (data modelling, performance tuning, pipelines). Familiarity with orchestration tools (e.g., Airflow, dbt) is a plus. A solid understanding of data best practices, version control (Git), and CI/ More ❯

excellent opportunity within a growing commercial business for a Senior Machine Learning Pricing Analyst to join a thriving team. You will use machine learning and AI-driven analytics through Snowflake to analyse sales and pricing data, and identify lost customer opportunities, and develop strategies to increase sales and profitability. This role combines data science and commercial analysis to assist … the business to drive growth and profitability. Key Areas of the Role: Analyse sales and customer data to identify commercial patterns. Develop and maintain AI/ML models (via Snowflake) that predict customer conversion success. Collaborate with sales, pricing, and commercial teams to develop data-informed pricing strategies. Identify customer segments or pricing bands where win rates are below More ❯

landscapes (MDM, CRM, ERP, Cloud DWH) through pragmatic and scalable architectural blueprints. Cloud Data Platform Leadership Design and implement high-performance cloud data platforms (AWS, Azure, Google Cloud, Databricks, Snowflake), overseeing data modelling, integration, transformation, and DevOps pipelines. Integrated Solution Architecture Design seamless integrations between cloud data platforms, AI/GenAI platforms, and business-critical systems (e.g., MDM, CRM … as a Data Architect , leading design and implementation of complex cloud-based data ecosystems. Solid engineering background with hands-on data platform implementation experience (AWS, Azure, GCP, Databricks, or Snowflake). Proven ability to evaluate data architecture decisions, influence business and IT stakeholders, and define strategic data direction. Strong understanding of coding best practices , code quality tools (e.g., SonarQube More ❯

landscapes (MDM, CRM, ERP, Cloud DWH) through pragmatic and scalable architectural blueprints. Cloud Data Platform Leadership Design and implement high-performance cloud data platforms (AWS, Azure, Google Cloud, Databricks, Snowflake), overseeing data modelling, integration, transformation, and DevOps pipelines. Integrated Solution Architecture Design seamless integrations between cloud data platforms, AI/GenAI platforms, and business-critical systems (e.g., MDM, CRM … as a Data Architect , leading design and implementation of complex cloud-based data ecosystems. Solid engineering background with hands-on data platform implementation experience (AWS, Azure, GCP, Databricks, or Snowflake). Proven ability to evaluate data architecture decisions, influence business and IT stakeholders, and define strategic data direction. Strong understanding of coding best practices , code quality tools (e.g., SonarQube More ❯