1 to 25 of 53 Snowflake Jobs in Central London

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 ...

Experience leading data engineering projects, workstreams or technical teams. Strong knowledge of cloud data platforms and modern data services. Experience with platforms such as Snowflake, Microsoft Fabric, Databricks or equivalent. Strong understanding of data modelling, data warehousing, Lakehouse and modern data architecture. Experience with data governance, data quality and metadata ...

data quality frameworks. Experience working with AI and machine learning within data platforms, alongside an understanding of AI governance. Familiarity with platforms such as Snowflake or Microsoft Fabric. Experience delivering analytics and reporting solutions using tools such as Power BI, Tableau or Looker. Strong stakeholder management skills with the ability ...

data engineering, analytics engineering, or BI development role. Strong hands‐on experience with Databricks or an equivalent enterprise data platform (Azure Synapse, Microsoft Fabric, Snowflake). Proficiency in SQL and experience building and optimising semantic or data models at scale, including window functions and complex business logic. Solid understanding ...

modern cloud data platforms, ideally AWS, Azure or GCP. Strong understanding of Data Engineering architecture and modern data pipelines. Experience with platforms such as Snowflake, Databricks, BigQuery or equivalent. Strong understanding of Python and SQL environments. Experience delivering Machine Learning models into production. Knowledge of Generative AI, LLMs ...

/or Python . Expertise in SQL and large-scale data modelling. Strong cloud experience across GCP, AWS, or Azure . Experience with Databricks, Snowflake, or Hadoop ecosystems . Knowledge of data ingestion, ETL/ELT frameworks, and batch/real-time processing. Applications are now open. #J-18808-Ljbffr ...

application: Experience with front‐end web technologies and frameworks such as React and Next.js. Experience with nextgen datawarehouse/data analytics platforms such as Snowflake or Databricks Your First 6 Months You can expect to quickly become involved in meaningful production work, including: 1. AWS Cloud Migration Support key elements ...

core language. Strong expertise in SQL and relational databases. Solid experience with Cloud providers such as AWS, Azure or GCP. Solid experience working with Snowflake and dbt. Strong experience working with different data formats, e.g., CSV, JSON and XML. Expert knowledge in building reliable and scalable Data Pipelines. Deep experience ...

willingness to work towards one. Strong stakeholder management and communication skills. Ability to manage multiple projects and priorities effectively. Experience with tools such as Snowflake, Fivetran, Airbyte, Segment, Power BI, or similar technologies would be advantageous. ...

Expectations, dbt tests, Elementary, Soda, or Deequ. Familiarity with AWS data services ( S3, Athena, Glue ) Experience working with data lakes or modern data warehouses ( Snowflake, Redshift, BigQuery ) A pragmatic problem solver who can balance technical excellence with business needs Able to architect custom AI solutions and smart automated systems that ...

/ELT: Experience using ingestion tooling and orchestration platforms to build and manage automated data pipelines. Cloud Data Platforms: Hands-on experience with Snowflake (highly desirable) or similar cloud-based data warehouses (e.g., BigQuery, Redshift). Additional Programming: Knowledge of C# and experience working within a .NET environment. AI Tooling ...

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 ...

combination of: Data architecture, modelling, integration, governance or migration Cloud technologies such as Azure, AWS or GCP Modern data platforms such as Databricks or Snowflake Application and integration architecture AI, ML or GenAI Technology transformation and modernisation Architecture frameworks, roadmaps and solution design Working directly with clients and senior stakeholders ...

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 ...

across both digital and physical/store channels Experience within retail, eCommerce or another consumer-facing environment would be highly beneficial Experience with Databricks, Snowflake, BigQuery or similar cloud data platforms would be advantageous Python would be a plus The successful candidate will be a commercially minded Marketing Analytics professional ...

workflows in production environments Strong understanding of data quality, reconciliation and validation practices Experience working with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake or Redshift (beneficial) Experience with version control systems (preferably GitLab) and tools such as JIRA and Confluence Comfortable working with messy, incomplete or evolving datasets ...

optimisation Confident communicating insights to technical and non-technical stakeholders Experience with modern cloud and data platforms such as Databricks, AWS, Azure or Snowflake Exposure to customer analytics, credit risk, collections, telecommunications or utilities is advantageous Comfortable taking ownership of projects and working independently What They Offer Salary ...

Jira. Strong Python skills, including FastAPI and Pytest. Experience within a regulated environment. Desirable Docker, Kubernetes, Helm, Serverless, GitOps and CDK. Penetration testing exposure. Snowflake, MongoDB, Databricks, GitHub and Terraform Cloud. Certifications Associate-level cloud certification (AWS, Azure, GCP or equivalent). Cyber security certification such as CySA+, CISA, GSEC ...

customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. Were an award-winning employer reflecting how our employees are at the very ...

governance, data quality management, and enterprise data architecture principles Experience integrating cloud and software-as-a-service platforms such as Salesforce, Microsoft Power BI, Snowflake, and Microsoft Fabric Working knowledge of Git, continuous integration and continuous delivery pipelines, DevOps practices, and automation frameworks Demonstrated proficiency in artificial intelligence concepts, with … scalable solutions Implement best practices for performance optimization, security, data quality, compliance, and governance Support integration of enterprise platforms including Salesforce, Microsoft Power BI, Snowflake, Microsoft Fabric, and other business applications Contribute to platform standards through automation, continuous integration and continuous delivery practices, and DevOps initiatives Monitor, troubleshoot, and enhance ...

Data Engineering Consultant, Data Specialist, Data Bricks, Snowflake, Data Analytics, Azure, Fabric, ML, Azure, Mainly Remote Data Consultant/Data Specialist required to join a fast growing Professional Services business based in the City of London. As this is an external client facing consulting role, you will be expected … Data Engineering 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 of implementing ...

communication skills A genuine passion for data and improving how organisations use it Experience developing or implementing data governance frameworks Experience with Azure and Snowflake would be highly beneficial Experience within the London Market, insurance or financial services is advantageous, although candidates from other regulated environments will also be considered ...

Data, or related fields. Technical Knowledge: Strong understanding of modern AI/ML technologies and cloud-based solutions. Tools & Platforms: Familiarity with Snowflake, Databricks, Azure AI Foundry , AWS SageMaker, and other leading platforms. Data Science Expertise: Knowledge of data science fundamentals, solution lifecycles, and MLOps methodology. Generative AI Knowledge: Experience ...

have: Understanding of RDBMS and Data Repositories (SQL Server, MySQL, Azure, noSQL). Experience with Azure cloud infrastructure and services/Big Data (Databricks, Snowflake) Knowledge of distributed systems and service-oriented architecture. Proficiency using AI tooling Relevant business experience in an international (Re-)Insurance company or in a broking ...

with the ability to manage ambiguity and prioritize effectively. Passion for innovation, collaboration, and continuous improvement. Desirable Skills: Experience with data platforms such as Snowflake, Azure Data Lake, or similar cloud-based technologies. Understanding of model monitoring, observability, and performance tracking practices. Exposure to AI/ML-enabled products ...