51 to 75 of 311 Permanent Snowflake Jobs

problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment and manage multiple ...

already has SC and is a UK national. Additional skills of interest include: An awareness of other data and analytics platforms, such as Snowflake, Databricks, and PowerBI. What you’ll do At Capgemini you will be able to harness your experience to technically implement complex solutions in the data warehousing ...

data sources such as Google Analytics is highly desirable In-depth knowledge of cloud-based data architecture, database development, and management. Previous experience with Snowflake is desirable Best practice for systems and data governance including development processes and documentation Previous responsibility for business-critical data assets and platforms Hands ...

experience : You have operationalised ML models in production, owning deployment, monitoring and lifecycle management (not just experimentation). Cloud platform expertise (AWS strongly preferred; Snowflake a plus) with deep understanding of services for compute, orchestration, storage and ML (e.g., SageMaker, Lambda, ECS/EKS, Step Functions). Experience with MLOps ...

generative AI services. Support analysis across AI platforms and providers such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic, Databricks and Snowflake AI services where relevant. Provide insight into emerging AI pricing models and token-based cost structures to help teams make more informed technology and investment ...

intelligence platforms (Looker, dbt Semantic Layer, AtScale) – Vector databases and hybrid retrieval (Qdrant, Pinecone, pgvector, AlloyDB vector search) – Cloud data platforms at scale (BigQuery, Snowflake, Databricks, Spanner) – Data cataloging and governance (Google Knowledge Catalog/Dataplex, Collibra, Alation, Atlan) – MCP (Model Context Protocol) for agent-data connectivity* Agent & AI Systems ...

data engineers, data scientists, analysts, developers, architects and product teams to support analytics, machine learning and wider data-driven projects.Relevant experience includes:• Databricks or Snowflake, ideally within AWS• Python, PySpark and SQL• ETL pipelines and data transformation• End-to-end data modelling• DBT, SparkSQL, Airflow, Git, Jenkins or similar tools ...

Apply validation and quality checks to ensure accuracy Key Skills & Experience Strong SQL and Python experience Experience working with cloud-based data platforms (e.g. Snowflake, Azure, AWS) Data visualisation experience (e.g. Power BI) Experience building production-ready data outputs Strong stakeholder engagement and communication skills Experience using AI coding tools ...

Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/SQL Server environment This role ...

similar enterprise AI tools Business Analysis Process mapping Stakeholder management & engagement Workshop facilitation Translating business requirements into technical requirements Data Platform Knowledge Exposure to Snowflake Cloud data warehouse concepts ETL/ELT processes Highly Desirable Skills Alteryx experience ERP experience (Epicor, SAP, Oracle, Dynamics, etc.) API integration knowledge AI governance ...

problem-solving skills to collaborate across global teams and translate complex data insights into actionable outputs Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies Ability to communicate technical concepts clearly to non‐technical stakeholders Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning ...

problem-solving skills to collaborate across global teams and translate complex data insights into actionable outputsFamiliarity with data platforms such as Databricks, Spark, Snowflake, or similar technologiesAbility to communicate technical concepts clearly to non‐technical stakeholdersBasic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools ...

task orchestration software (eg. dbt, Airflow/Prefect/Dagster or equivalent) to develop production-grade pipelines that bring data to life \n Strong Snowflake experience is preferred, and Databricks experience would be a bonus \n Practical hands-on experience of at least one cloud platform (AWS, Azure ...

Databricks, Spark, and Delta Lake. Strong SQL skills with experience working on large datasets. Experience with AWS, including S3 and Lambda. Familiarity with Redshift, Snowflake, or other cloud data warehouses. Experience with behavioral datasets. Ability to work across machine learning, data engineering, analytics, and integrations. Ability to design ...

skills with experience working on large datasets. \n\n \n Experience with AWS, including S3 and Lambda. \n\n \n Familiarity with Redshift, Snowflake, or other cloud data warehouses. \n\n \n Experience with behavioral datasets. \n\n \n Ability to work across machine learning, data engineering, analytics, and integrations. ...

complex, data-centric enterprise environments (Business Intelligence, Data Warehousing, Data Science, or Analytics Engineering). Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows).Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs.Expert-level skills ...

modelling; you build and maintain modular, analytics-ready data models (dimensional, star schema) that serve BI tools, AI agents, and automated reports. BigQuery preferred; Snowflake, Redshift, or Postgres transferable Cloud and pipeline fluency; comfortable navigating GCP (BigQuery, IAM, GCS, CLI) and managing end-to-end ELT pipelines using tools like ...

Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). \n Desirable Skills \n \n Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric. \n\n Security Clearance Requirements \n The successful candidate must hold a current high level security clearance. \n Location ...

Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). \n Desirable Skills \n \n Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric. \n\n Security Clearance Requirements \n The successful candidate must be eligible for an enhanced Developed Vetted/eDV security ...

governance, quality standards, and effective stakeholder engagement Desirable Skills Advanced architectures: Data mesh, data fabric, real‐time/event‐driven systems Modern tools: Databricks, Snowflake, Kafka, dbt Cloud engineering maturity: CI/CD, Infrastructure as Code, DataOps, containers AI/ML enablement: Supporting MLOps and advanced analytics platforms Analytics expertise ...

market or enterprise accounts—comfortable in both exec‐level conversations and deep technical design sessions. Familiarity with enterprise data environments: cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift), REST/GraphQL APIs, and common ERP or CRM platforms. Comfort with modern deployment practices: CI/CD, containerization (Docker/Kubernetes), cloud ...

PyTorch, or similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud‐native systems. Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices, and event‐driven architectures. Strong grounding in statistics, experimentation, and analytical methods. Experience deploying and maintaining ...

e.g. ADF, Synapse, Fabric, Azure Functions). \n\n \n Desirable Skills \n \n \n Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric. \n\n \n Security Clearance Requirements \n \n The successful candidate must be eligible for an enhanced Developed Vetted/ ...

quality. What we are looking for Experience Proven leadership of enterprise‐scale data platforms in complex organisations Deep expertise in cloud data technologies, including Snowflake, Databricks, AWS, and Microsoft stack Strong background in platform architecture and multi‐vendor, multi‐cloud environments Experience working in Agile environments with diverse stakeholders Knowledge ...

with large, complex datasets. Strong Python skills for data analysis, automation, modelling, and data processing. Experience working with cloud-based data platforms such as Snowflake and Google BigQuery. Experience using business intelligence and data visualisation tools such as Power BI, Tableau, Looker, or equivalent platforms. Strong understanding of data modelling ...