176 to 200 of 951 Snowflake Jobs in the UK

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

secure delivery across the data platform. Share knowledge, document solutions clearly and challengeestablishedapproaches to improve delivery. What you’ll bring Experience designing, buildingand supporting Snowflake data warehouse solutions. Experience delivering data engineering, analyticsor data warehouse solutions in cloud environments, ideally Azure. Strong SQL capability and experience building scalable ...

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 ...

Recipe (About the Role) Shape and deliver the enterprise data and analytics strategy, ensuring data supports business growth and decision-making. Lead the Snowflake data platform, providing trusted, high-quality data across the organisation. Enable self-service reporting through Sigma, Tableau and Microsoft Power BI, supported by clear standards ...

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 ...

technical knowledge of SQL and Python for data extraction, analysis and reporting. Experience working with large datasets and cloud-based data platforms such as Snowflake and data pipelines. Proven ability to create high-quality management information and reporting packs for senior leaders. Strong stakeholder-management skills, with experience gathering requirements ...

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 ...

Proficiency in analytical tools and languages (e.g., SQL, Python, R) and visualisation tools (Power BI, Tableau). Familiarity with modern cloud data environments (e.g., Snowflake, Databricks). Excellent communicator, able to present complex data in clear, concise, and compelling ways to senior stakeholders. Highly collaborative, comfortable working across multiple teams ...

containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure). Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres. Experience designing, deploying, and operating ML models in production, including familiarity with MLOps tooling such as MLflow. Demonstrated ability to work ...

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 ...

Message, or similar value-driven sales frameworks across a team. Deep expertise across cloud computing platforms (AWS, Azure, GCP) and enterprise Cloud Data Platforms (Snowflake, Databricks). Deep domain knowledge in relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL environments (MongoDB, Cassandra, DynamoDB). Hands-on command of integration ...

inclusive, collaborative teamwork Strong problem-solving and analytical skills Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Hands-on expertise with Spark/PySpark and big data processing technologies Knowledge of open-source table formats and catalog services such as Apache Iceberg Experience ...

pipelines, and strong experience with Python, Scala, or similar programming languages. Experience working with modern cloud data platforms such as Databricks (preferred), Delta Lake, Snowflake, or BigQuery. Proven experience driving complex cross‐functional initiatives from concept through production. Experience leading technical architecture discussions and engineering design reviews. Experience in setting ...

market microstructure. Interest in developing this knowledge (e.g. CFA study) is valued. SQL and data platforms. Experience in querying structured data, ideally with Snowflake or similar cloud data warehouses. Data visualisation and design. Experience with dashboarding tools (e.g. Streamlit, Power BI or similar). Platform-level automation. Experience with ...

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 ...

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. ...

experience building and delivering API-driven, cloud-native, distributed systems.* Hands-on experience with Azure and modern cloud-native application architectures.* Experience with Databricks, Snowflake, or similar enterprise data platforms.* Strong understanding of software engineering best practices, including CI/CD, DevSecOps, automated testing, observability, and secure software development.* Strong ...

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 ...

have: Knowledge of R or other programming languages Knowledge of current UK AI/ML compliance and regulation. Experience with AWS Sagemaker Experience with Snowflake Experience with Databricks What will you get in return? Everyone’s different. That’s why at Zurich, we offer a wide range of employee benefits ...