1 to 25 of 961 Snowflake Jobs in the UK

client-facing leadership role for someone who can work directly with senior business and technology stakeholders to identify high-value business problems, shape Snowflake-based AI and data solutions, and lead delivery teams to build scalable outcomes.You will combine deep expertise in the Snowflake AI Data Cloud, Snowflake Cortex … Cortex Agents, Cortex Analyst, Snowpark, Snowflake data engineering, governance, secure data sharing and modern cloud data architecture with a strong consulting and commercial mindset.Snowflake is increasingly positioning Cortex AI as a way to build AI-powered analytics, work with structured and unstructured data, orchestrate data agents and keep AI close ...

build a better working world. Location: London, UK (Hybrid) Level: Senior Manager Practice: AI & Data Shape the Future of Data and AI with Snowflake This is a client-facing leadership role for someone who can work directly with senior business and technology stakeholders to identify high-value business problems, shape … Snowflake-based AI and data solutions, and lead delivery teams to build scalable outcomes. You will combine deep expertise in the Snowflake AI Data Cloud, Snowflake Cortex AI, Cortex Agents, Cortex Analyst, Snowpark, Snowflake data engineering, governance, secure data sharing and modern cloud data architecture with a strong consulting ...

Vacancy detailSnowflake Lead Architect 700-750 GBPHybrid WORKINGLocation: Central London, Greater London – United Kingdom Type: ContractNEW CONTRACT ROLE – SNOWFLAKE LEAD ARCHITECTA new contract opportunity has just landed for an experienced Snowflake Lead Architect to play a key role in the design, governance and strategic development of an enterprise Snowflake platform.This … role for a Data Engineer who simply uses Snowflake as part of their day-to-day delivery. We are looking for someone with genuine Snowflake platform architecture experience who has helped organisations design, build and establish their Snowflake environment from a platform, governance and operating model perspective.You will lead ...

which may include but are not limited to: -Data Querying - Structured Query Language (SQL), Python – Essential, C# -idealData Engineering – Microsoft ADF, DBT - EssentialDatabase & Fabric – Snowflake, Promethium and Microsoft FabricData Visualization - Microsoft Power BI, TableauVersion Control – Git, DataOps.live, and experience of CI/CD for data pipelines.Good to have certifications inExperience ...

Understanding of data governance, data quality, and security practices. Familiarity with CI/CD pipelines and version control tools. Preferred Skills Experience with Databricks, Snowflake, Redshift, Synapse, or BigQuery. Knowledge of real-time streaming technologies such as Kafka. Exposure to Agile delivery methodologies. Experience in large-scale data transformation ...

knowledge transfer to production support teams. Required Skills & Experience Data Engineering & Development Strong expertise in SQL database development and optimization. Hands-on experience with: Snowflake DBT Azure Data Factory Python Experience designing and developing enterprise-scale data pipelines and integrations. Strong knowledge of data modeling, data warehousing, and ETL/ ...

data engineering frameworks. Experience deploying machine learning models into production. Strong knowledge of cloud platforms such as Azure, AWS or GCP. Experience with Databricks, Snowflake or similar data platforms. Knowledge of Infrastructure as Code tools such as Terraform. Experience with Kubernetes, Docker and CI/CD pipelines. Strong understanding ...

solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps ...

programming or query languages such as SQL, PL/SQL, Python, Java, Ruby or R.Experience with relevant modern data technologies such as BigQuery, Databricks, Snowflake, MongoDB, Hadoop, Redis, Kafka or similar.The ability to select technologies based on scalability, performance, security, interoperability and business requirements.Experience documenting complex architectures clearly through diagrams ...

Experience designing architectures that enable trusted, governed, and scalable AI adoption, underpinned by strong data foundations using platforms such as Azure AI Foundry, Databricks, Snowflake, AWS Bedrock, GCP Vertex etc.What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days ...

with structured and semi-structured data formats including SQL tables, CSV, XML, JSON, and Parquet.Exposure to cloud-based data and analytics platforms such as Snowflake, Databricks, AWS, Azure, or Google Cloud.Familiarity with reporting and business intelligence tools such as Power BI, Tableau, ThoughtSpot, or similar platforms.Understanding of API-based integrations ...

data pipeline lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster).Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg).Advanced SQL skills and proficiency in Python. Strong background in modern software development practices ...

specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake**Please Note:**Security Clearance: **To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.** To obtain SC clearance, the successful ...

data engineering experience (AWS, Azure or GCP), including object storage, compute and managed data services.Strong experience with modern data warehousing/lakehouse tools (e.g., Snowflake, BigQuery, Redshift, Databricks).Hands-on orchestration experience (e.g., Airflow, Dagster, Prefect) and CI/CD for data pipelines.Experience with streaming and event-driven data (e.g. ...

building and maintaining ETL/ELT pipelines Commercial experience working with Azure or AWS cloud platforms Experience with modern data platforms such as Databricks, Snowflake or Redshift Experience using orchestration tools such as Airflow, Azure Data Factory or Prefect Strong understanding of data warehousing and data modelling principles Excellent problem ...

retrieval. Familiarity with database technologies like PostgreSQL, MongoDB, CosmosDB, and SQL Server is also beneficial. Knowledge of data warehousing technologies such as Databricks SQL, Snowflake Warehouses, Amazon Redshift, and Google BigQuery is important for structuring and managing large volumes of data. Data engineers should be adept at Extract, Transform, Load ...

infrastructure-as-code practices, and ideally container orchestration with Kubernetes. Familiarity with SQL and NoSQL databases (Cassandra, Postgres), ideally combined with data collaboration platforms (Snowflake, Databricks) Strong DevOps mindset with experience in CI/CD pipelines, monitoring, and observability tools (Grafana or equivalent). Exposure to analytics, reporting ...

Azure)Experience with large-scale distributed data processing and performance tuningHands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience with SQL-based transformation ...

with AWS and its data and AI/ML services such as SageMakerExperience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake)Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloadsUnderstanding of Data Security, Data Governance and responsible ...

with AWS and its data and AI/ML services such as SageMakerExperience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake)Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloadsUnderstanding of Data Security, Data Governance and responsible ...

specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake**Please Note:**Security Clearance: **To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.** To obtain SC clearance, the successful ...

Traded Market Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions. Familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms. Knowledge of market data vendors, data mastering ...

Risk, Traded Market Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions.Familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms.Knowledge of market data vendors, data mastering, golden ...

processes, tools and best practices across the wider data community. Key Requirements Strong hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments. Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines and data transformation. ...

organizational adoption Data & Technical Proficiency Strong hands-on capability wi th SQL and data exploration too ls.Solid working knowledge of cloud data platforms (e.g., Snowflake, Databricks, BigQuery, AWS, Azur e).Conceptual understanding of data modeling practices, modern ETL/ELT architecture, APIs, and microservices .Exposure to modern BI tools (e.g. ...