126 to 150 of 429 Snowflake Jobs in the UK

enhancements. Design robust data models and seamless integration patterns connecting SFMC with Core Salesforce (Sales/Service Cloud), Data Cloud and enterprise data warehouses (Snowflake, BigQuery, etc.). Guide implementation teams, developers, and platform admins on best practices for Automation Studio, Journey Builder, SSJS, AMPscript, and SQL queries. Partner closely ...

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 ...

quantitative equities Experience working directly alongside portfolio managers or quantitative researchers Experience with any of the following would be advantageous: S&P Xpressfeed Snowflake Bloomberg MSCI Barra Databricks Quantitative equity research platforms Large Language Models (OpenAI, Claude) Additional Information Initial contract opportunity Excellent day rate Hybrid working in London Permanent ...

Required experience: Excellent SQL development experience Highly experienced in data ingestion, processing and storage techniques on cloud native platforms Experience with cloud data management (Snowflake, AWS, DBT or similar Paas/SaaS) Experience of enterprise data management and security at scale Knowledge of data modelling and optimisation Expert in data ...

information through clear and compelling data visualisations, ideally using Tableau Experience of cloud-based data science technologies, ideally including AWS SageMaker, AWS Bedrock and Snowflake , would be highly desirable A passion for continuous learning and staying up to date with emerging data science tools, technologies and practices Join ...

industries, including Financial Services, Public Sector, Retail, Energy, Healthcare, Aviation, and more, and we are partnered with leading technology providers such as Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers. Through continuous learning, real-world experience, and a collaborative culture, we help ...

will be relying on you to make them more efficient/AI-enabled Proficient in PostgreSQL and one or more of the data platforms (Snowflake, BigQuery, Databricks, Firebolt, etc.) Experience with our product stack (Node.js & Typescript) preferred Feel like you are never building fast enough. You have start-up experience ...

junior talent. Delivery-focused, with a passion for quality and innovation, and a flexible, adaptable attitude willing to accept and drive change. Familiarity with Snowflake, AWS, and GCP, or equivalent cloud infrastructure. Strong understanding of modern machine learning workflows and production deployment considerations, including orchestration tools. What We Offer Competitive ...

/CD, application resiliency, and security Practical cloud‐native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands‐on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such ...

Your experience: Excellent SQL development experience. Highly experienced in data ingestion, processing and storage techniques on cloud native tooling. Experience cloud data management i.e. Snowflake, AWS, DBT, or similar Paas and SaaS offerings. Experience of enterprise data management and security at scale. Knowledge of data modelling and optimisation. Expert ...

support data validation, automation, or optimisation. Familiarity with a range of database systems, including relational (Oracle, SQL Server, PostgreSQL, MySQL), columnar (Amazon Redshift, Snowflake), and NoSQL (MongoDB, Cassandra). Advanced communication and collaboration skills, with the ability to work effectively with product managers, engineering teams, governance forums, and business stakeholders ...

platforms); recognized as a credible technologist and escalation authority by senior technical stakeholders Platform Familiarity: Strong working knowledge of enterprise data and cloud platforms (Snowflake, Databricks, AWS, GCP, Azure), sufficient to shape architecture decisions and rollout strategy at an enterprise scale Governance Background (preferred): Meaningful exposure to data ...

owners and governance stakeholders to establish common definitions, terminology and semantic alignment.* Supporting the implementation of enterprise semantic architectures across modern data platforms, including Snowflake, Databricks and associated metadata ecosystems.* Collaborating closely with manufacturing SMEs, solution architects, data engineers and governance teams to ensure enterprise-wide consistency and reuse ...

data and building reproducible analysis pipelines. Ability to design pragmatic evaluation metrics where ground truth is fuzzy. Familiarity with modern data stack tools: dbt, Snowflake, Hex, Omni, Looker, or similar. Clear communicator who can influence without authority. Nice to Have Experience with product analytics platforms (e.g. Amplitude, Mixpanel, or similar ...

application, cloud, integration and security. Working knowledge of data architecture concepts – including data modelling, integration, governance, visualisation and migration – and tools such as Databricks, Snowflake or equivalent. An appreciation of how technology can solve complex business problems, and comfortable operating at the intersection of business and technology. Strong written ...

know when a model is degrading and what to do about it. [Bonus] Experience with VertexAI TOOLS & TECHNOLOGIES Languages: Python, SQL Data & Transformation: dbt, Snowflake, BigQuery Visualisation & BI: Looker Engineering & MLOps: Docker, GitHub Workflow & Orchestration: Vertex AI Pipelines (GCP), Kubeflow LLMs & GenAI: Gemini API, Claude API INTERVIEW PROCESS Step ...

building or working with agent frameworks or multi‐agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most ...

flows, partner-driven experiences). Having worked alongside or led engineers building AI or ML systems in production. Comfort with cloud-native data warehousing (Snowflake or comparable) and the analytics or AI data layer. Experience working in a distributed team across distant time zones, where the core engineering team ...

develop scalable, reusable data products for analytics, reporting, and machine learning pipelines Implement query tuning, indexing, partitioning, and caching strategies in platforms such as Snowflake and Databricks Collaborate with data scientists, engineers, and business teams to deliver analytics-ready datasets Establish and enforce data governance practices aligned with … development, cloud-based data solutions, or data products for analytics, automation, or machine learning Deep expertise in AWS services, including S3, Lambda, Glue, and Snowflake Experience designing scalable and cost-efficient data architectures Proficiency in Python, including modularization and production-ready code for data transformations, automation, and workflow orchestration Expert ...

checks across the platform. Architect for Scale & Cost Efficiency Work with Toumetis’ Principal Cloud Engineer to evaluate and advise on cloud data technologies (e.g. Snowflake, Databricks, Redshift, Azure Data Services), balancing cost, performance, and long‐term flexibility. Challenge existing constraints and design patterns pragmatically, appropriate to a small but growing … experience with Python, SQL, and infrastructure‐as‐code. Experience across major cloud providers (AWS, Azure, or GCP). Familiarity with modern data platforms (e.g. Snowflake, Databricks, Redshift, Hadoop ecosystems). Solid understanding of data science and machine learning workflows and their infrastructure pain points. Experience with Microsoft data platforms ...

Data modeling, optimizing and structuring queries to be used across disparate datasets. 5+ years of experience designing and building data pipelines (e.g., Databricks, Snowflake, Glue, Azure Data Factory, dbt, etc.). 3+ years of experience deploying code using a source control product like GitLab or GitHub. Proven experience designing … depth knowledge of modern data modeling techniques (dimensional, relational, etc.) and cloud data warehousing principles. Expertise with cloud data warehouse solutions such as Databrick, Snowflake or Redshift. Proven experience in DataOps, CI/CD (MLOps is a plus) Exceptional written, verbal, and listening communication skills, with the ability to effectively ...

Senior Data Engineer (tech lead) - hands on Team Leader is required by a FTSE100 employer in London. Tech stack - AWS, GCP, Azure, Snowflake, Python, ELT/ETL, SQL, RAID Logs. £800.00 per day + ...

player-coach position with about 50/50 split between leadership and hands-on delivery, requiring hands-on SQL and Python, and experience with Snowflake and Power BI. Strong stakeholder management and the ability to translate complex data into clear commercial insight in a data-rich environment are #J ...

mission needs into technical solutions Lead teams across data, engineering, and delivery Influence strategy, capability, and technical direction Tech landscape AWS | Azure | GCP Databricks | Snowflake Data lakes | Warehouses | Distributed systems DevOps | Infrastructure as Code | Secure deployment Data governance | Secure access | Analytics layers What you bring Active DV clearance (essential) Proven ...

machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager ...