301 to 325 of 676 Permanent Snowflake Jobs

some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn CI/CD tooling (e.g. GitHub Actions), containerization (Docker), and workflow orchestration tools (Airflow/AstroCloud) Strong debugging and troubleshooting skills … some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn CI/CD tooling (e.g. GitHub Actions), containerization (Docker), and workflow orchestration tools (Airflow/AstroCloud) Strong debugging and troubleshooting skills More ❯

some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn CI/CD tooling (e.g. GitHub Actions), containerization (Docker), and workflow orchestration tools (Airflow/AstroCloud) Strong debugging and troubleshooting skills … some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn CI/CD tooling (e.g. GitHub Actions), containerization (Docker), and workflow orchestration tools (Airflow/AstroCloud) Strong debugging and troubleshooting skills More ❯

strategy at a top London Market client. This is a senior technical leadership position. Must Have Skills: Experience with implementations and data warehousing Proficiency with AWS and cloud environments Snowflake experience is advantageous Ability to create and manage data models Insurance industry experience is essential, including knowledge of London market insurance Global experience is a plus Skills and Experience: Previous More ❯

strategy at a top London Market client. This is a senior technical leadership position. Must Have Skills: Experience with implementations and data warehousing Proficiency with AWS and cloud environments Snowflake experience is advantageous Ability to create and manage data models Insurance industry experience is essential, including knowledge of London market insurance Global experience is a plus Skills and Experience: Previous More ❯

and data analytics solutions. Ensure best practices in data management, data integration, and data security are adhered to throughout the project lifecycle. Collaborate with AWS, Azure, GCP, Databricks, and Snowflake experts to leverage cloud capabilities and ensure optimal performance of data solutions. Stakeholder Management: Act as the primary point of contact for clients, providing regular project updates and addressing any … data architectures, data integration, and data analytics. Experience with cloud platforms including AWS, Azure, and Google Cloud Platform (GCP). Experience migrating On prem data platforms to Databricks and Snowflake for data engineering and analytics. Experience with SAP systems and SAP HANA is a plus. Excellent project management skills, with proficiency in project management tools (e.g., MS Project, Jira). More ❯

have a track record of delivering results, we would love to hear from you. What You Will Be Doing • Developing and delivering technical KPIs and using tools like SQL, Snowflake and Power BI. • Conducting detailed analysis of P&SM performance and identifying root causes of issues and developing effective action plans. • Collaborating with leadership and cross-functional teams to embed … strong, influential relationships with leadership teams, finance, and commercial teams, ensuring that data-driven insights directly shape key business decisions. About You • Strong technical skills in analytics platforms (e.g. Snowflake, Power BI). • Proven experience in performance analysis and stakeholder engagement. • Deep understanding of Product and Supplier Management and business processes. • Organised, detail-oriented, and passionate about continuous improvement. • Excellent More ❯

have a track record of delivering results, we would love to hear from you. What You Will Be Doing • Developing and delivering technical KPIs and using tools like SQL, Snowflake and Power BI. • Conducting detailed analysis of P&SM performance and identifying root causes of issues and developing effective action plans. • Collaborating with leadership and cross-functional teams to embed … strong, influential relationships with leadership teams, finance, and commercial teams, ensuring that data-driven insights directly shape key business decisions. About You • Strong technical skills in analytics platforms (e.g. Snowflake, Power BI). • Proven experience in performance analysis and stakeholder engagement. • Deep understanding of Product and Supplier Management and business processes. • Organised, detail-oriented, and passionate about continuous improvement. • Excellent More ❯

multiple databases and instances in a cloud environment. • Experience in developing and remediating database views, functions, and stored procedures. • Experience in ETL and Analytics technologies (SSIS, SSAS, Click Replicate, Snowflake, Power BI) • Working for a medium size organisation in a period of rapid change. More ❯

enterprise , we are relied upon to ensure our systems are trusted, reliable and available . The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent , Astronomer/Airflow , and Kubernetes . This forms part of a longer-term strategic direction to implement Data Mesh, and with it establish … ensure tasks are achievable , and driv ing a culture of iterative improvemen t. Modern data stack - hands-on deploy ment and govern ance of enterprise technologies at scale (e.g. Snowflake, Tableau, DBT, Fivetran , Airflow, AWS , GitHub, Terraform, etc ) for self-service workloads . Thought leadership and influencing - deep interest in data platforms landscape to build well-articulated proposals that are More ❯

Lead in a software environment. Strong background in hands-on software engineering (.NET, Java, or similar). Comfortable working with modern cloud (Azure or AWS), SQL data platforms (e.g., Snowflake, MS SQL). Familiar with automation-first QA environments and CI/CD best practices. Curiosity and passion for learning new technologies and improving how teams work. If this role More ❯

Lead in a software environment. Strong background in hands-on software engineering (.NET, Java, or similar). Comfortable working with modern cloud (Azure or AWS), SQL data platforms (e.g., Snowflake, MS SQL). Familiar with automation-first QA environments and CI/CD best practices. Curiosity and passion for learning new technologies and improving how teams work. If this role More ❯

We’re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience More ❯

Expertise in Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernization and creating new AI applications. Expertise in Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligence, and reporting with integrated Data Security & Governance. Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive More ❯

ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS , ODI, Informatica, Data Factory) Power BI Development including the data model, DAX, and visualizations If you are interested in this Data anlyst More ❯

ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS , ODI, Informatica, Data Factory) Power BI Development including the data model, DAX, and visualizations If you are interested in this Data anlyst More ❯

to work on multiple projects simultaneously Strong interpersonal and communication skills Quick, self-learning capabilities and creativity in problem-solving Preferred: Familiarity with Python Familiarity with Airflow, ETL tools, Snowflake and MSSQL Hands-on with VCS (Git) Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf More ❯

weeks ago Senior Cloud and Data Solution Architect Enterprise Information Technology Architect London, England, United Kingdom 4 days ago London, England, United Kingdom 5 days ago Data Architect - AWS & Snowflake Expertise City Of London, England, United Kingdom £500.00-£750.00 1 week ago London Area, United Kingdom £80,000.00-£90,000.00 10 hours ago We’re unlocking community knowledge in a More ❯

discovery, combining quantum-inspired physics with generative models Real-World Impact : Every feature shipped helps scientists prioritize molecules and design better candidates, faster Modern Stack & Challenges : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale High Ownership, High Impact : Engineers contribute to architecture, tooling, and scientific decision-making Interdisciplinary Team : Collaborate with chemists, physicists, ML researchers More ❯

and its data related services. Strong SQL and PySpark skills, with a focus on writing efficient, readable, modular code. Experience of development on modern cloud data platforms (e.g. Databricks, Snowflake, RedShift). Familiarity of Data Lakehouse principles, standards and best practices. Understanding of event-driven architecture and data streaming technologies. Familiarity with Agile delivery methodologies, Azure DevOps and CI/ More ❯

discovery, combining quantum-inspired physics with generative models Real-World Impact : Every feature shipped helps scientists prioritize molecules and design better candidates, faster Modern Stack & Challenges : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale High Ownership, High Impact : Engineers contribute to architecture, tooling, and scientific decision-making Interdisciplinary Team : Collaborate with chemists, physicists, ML researchers More ❯

CRM journey logic Exceptional time management skills and the ability to juggle multiple priorities Youll stand out if youve worked with: SQL (Stored Procedures, SSMS), SSIS Cloud technologies like Snowflake and AWS Glue REST APIs and data integration strategies Campaign platforms like Acoustic, DotDigital, Salesforce Marketing Cloud Analytics and automation platforms such as Apteco Reporting tools like Tableau and Power More ❯

to self-organise and deliver a project over a period of up to a few months Strong problem solving skills Strong communication skills Computer science or other STEM degree Snowflake - Desirable AWS - Desirable Competitive salary 25 days holiday plus bank holidays Share Options after completion of probationary period Discretionary Bonus Pension Scheme Private Medical Insurance Work remotely abroad for up More ❯

high, even during challenging times The Desirable Tools, Systems & Platforms you may have used are: Jira, Confluence, Visio, Lucid, PowerPoint, SQL, Cloud Platform knowledge (such as GCP, AWS, Azure, Snowflake) Are you ready to embark on an exciting adventure as our Scrum Master/Business Analyst Extraordinaire? Apply now and let your superhero skills shine! If you don't fit More ❯

with the ability to pivot strategies in response to innovative technologies, insights, or regulatory developments. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Snowflake, Spark). Strong communication skills, with the ability to distill complex data concepts into clear messages for non-technical stakeholders. Excellent stakeholder management and cross-functional collaboration skills, with the More ❯

Benioff (Salesforce) and 20VC, to scale toward $50M. We've been through HF0 in San Francisco, the world's leading AI startup accelerator, learning directly from leaders at OpenAI, Snowflake, and Instacart. We're now in hyper growth mode and data is at the heart of how we scale. Why This Role Matters As our first Analytics Engineer with a More ❯