76 to 100 of 508 Snowflake Jobs in London

data and AI. Experience with using data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau, Databricks, Snowflake, Microsoft Purview, Collibra, Informatica, Claude, Chat GPT, Microsoft Copilot, Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience of implementing ...

related technical discipline.## **Preferred Qualifications:*** ## To support our strategic roadmap, we would value hands-on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks ...

Better Business Cases, MSP, Agile delivery, TOGAF, SAFe or equivalent strategy/transformation methods. Experience advising on Microsoft Fabric, Azure, AWS, Google Cloud, Databricks, Snowflake, Microsoft Copilotor enterprise data platforms. Experience building new consulting propositions or scaling a consulting capability. Experience working in multi-supplier, client-side advisory or delivery ...

exposure in recent years to Generative AI. Technical Expertise: Experience with Python, SQL and production analytics workflows; familiarity with big‐data platforms such as Snowflake and Databricks; BI tools; APIs and workflow automation would be strong advanced. Demonstrated ability to design, build, and scale complex software systems, including experience with ...

Consulting implementation partner or as part of a delivery/technical consulting team in a software company.* Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture* Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure ...

ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevant You will ...

Experience with SQL & Excel for data manipulation and with data visualisation tools (e.g. PowerBI). Familiarity with Python, FME and cloud data platforms (e.g. Snowflake) Storytelling: Confidence building a story around data insights as well as communicating this with business stakeholders in an understandable and engaging manner Analytical & Problem Solving ...

National Security, Critical National Infrastructure and Law Enforcement. This role is focused on architecting and delivering modern cloud data platforms, with particular emphasis on Snowflake and/or Databricks. You will work directly with customers to design, assess, optimise, and modernise enterprise data ecosystems, ensuring they are scalable, secure, cost … Architect, continuous professional development is a key part of your growth. You will be expected to maintain deep expertise in modern data technologies, particularly Snowflake and Databricks, and help shape both customer and internal data strategies. Clearance Requirements Due to the industries this role will be associated with, we require ...

expectations on data and AI. Exposure to data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau,Databricks, Snowflake, Microsoft Purview, Collibra, Informatica,Claude, Chat GPT,Microsoft Copilot,Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience ...

other projects during this period. Qualifications Must‐Have Data Engineering : Experience with SQL , Python , ETL , ELT , and tools like Spark , Kafka , Airflow , dbt , Snowflake , BigQuery , or Databricks on AWS , GCP , or Azure . Sales : Experience as Account Executives, Account Managers, Customer Success Managers, SDRs, BDRs, or Sales/Revenue Operations ...

Strong engineering experience with technologies such as Python, SQL, Java, .NET or JavaScript Experience working with modern enterprise data technologies such as Snowflake and/or Databricks Good understanding of enterprise data platforms, data architecture, on-premise lakehouse architectures and enterprise systems Knowledge of DevOps, CI/CD, Infrastructure ...

Apache Flink, Apache Kafka, Spark Structured Streaming, or similar technologies Knowledge of modern data lakehouse architectures and ecosystem such as Kafka, Flink, Spark, Databricks, Snowflake, DBT, Airflow, Debezium, Delta/Iceberg, and comfort with Python/Java and SQL Experience with networking and security concepts within AWS, including VPCs, subnets ...

platform architecture, distributed data systems, orchestration, governance, and scalable data product design Experience with technologies and ecosystems such as GCP, AWS, Azure, Databricks, Snowflake, Kafka, Spark, dbt, Kubernetes, Airflow, ML/AI enablement, or similar modern platform tooling Strong commercial acumen and ability to engage credibly with senior technical ...

Data Quality tools, controls and monitoring frameworks. Understanding of GDPR, data privacy and information management principles. Experience working with cloud data platforms such as Snowflake, Azure, AWS or Google Cloud. Exposure to SQL and an understanding of modern data architecture. Experience operating within Agile or change-led environments. Experience managing ...

measurement, semantic consistency). Experience supporting quantitative or research consumers and performance-sensitive data access patterns. Some Cloud-based Data Analytics platform experience in Snowflake, Databricks or similar data cloud solutions. An AWS Certification is preferred, but not a perquisite. #J-18808-Ljbffr ...

ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment approaches where relevant What ...

data lakes, data warehouses, Lakehouse architectures, and distributed computing frameworks Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake Good understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated experience architecting ...

Alteryx). Familiarity with at least one data visualisation tool (e.g. Power BI, Tableau). Familiarity with modern data platforms (e. g. Databricks, Snowflake). Familiarity with Generative AI and agentic systems. Familiarity with web scraping (e.g. Python, webscraper.io). Benefits We are committed to being the best consultancy ...

support your development): Experience with using data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau, Databricks, Snowflake, Microsoft Purview, Collibra, Informatica, Claude, Microsoft Copilot, Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience of scoping, delivering ...

level (e.g. AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer; Azure Solutions Architect Expert; Google Professional Cloud Architect) Experience with competitive platforms (Snowflake, cloud-native data services, Azure Synapse, BigQuery), understanding the landscape you'll position against Background in a data/AI company or cloud provider About ...

level (e.g. AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer; Azure Solutions Architect Expert; Google Professional Cloud Architect) Experience with competitive platforms (Snowflake, cloud-native data services, Azure Synapse, BigQuery) — understanding the landscape you'll position against Background in a data/AI company or cloud provider About ...

customer success. Ourdeepexpertiseenables our customers to navigate the rapidlyevolving technology landscape. We foster strong partnerships withglobal technology leadersincluding Microsoft, AWS, Oracle, Red Hat,OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. Werean award-winning employer reflecting how our employees are at the very ...

closely with the Director of Data Platform and Directors in other functions such as Product, Engineering, Partnerships, Finance and Marketing. Our stack includes AWS, Snowflake, dbt, Looker, Python, R and other best in class, modern tooling for business reporting, experimentation, and analysis. We are heavily invested in advanced AI-enhanced ...

operating models, including team structures, governance, platforms and ways of working. Working knowledge of modern data and reporting platforms, such as Power BI, Tableau, Snowflake, Microsoft Fabric, Databricks or similar. Strong communication skills, with the ability to simplify complexity and tell a clear story from data. Experience leading client engagements ...

Engineering Python REST APIs Git CI/CD Containers Infrastructure as Code Testing AI systems Platform Engineering Kubernetes Azure AI Foundry Databricks Microsoft Fabric Snowflake MLOps/LLMOpstooling Consulting competencies TheAISolutionArchitect should be able to: Facilitate AI discovery workshops. Identify and prioritise business use cases. Estimate business value and ROI. ...