251 to 275 of 811 Snowflake Jobs in England

anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience with Snowflake or another cloud data platform, Streamlit, and Power BI Experience in financial services or another regulated, data-rich environment. About AJ Bell At AJ Bell ...

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. We’rean award-winning employer reflecting how our employees ...

/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 ...

Design and Programming Understanding of Databases and query languages (SQL). Experience of writing tests to a level of production code, using JUnit. Redshift, Snowflake, BigQuery, GWT, Gradle, Jenkins, Linux, Scripting for CLI, CICD, tool automation, etc. Agile methodologies such as Scrum and Kanban Working knowledge of public cloud platforms ...

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 ...

quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent) Desirable Master’s or PhD in a quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps — model deployment, monitoring, and retraining in production Experience building propensity ...

designing and operating high‐availability, production ML services. Hands‐on experience designing and operating data and analytics platforms built on technologies such as Snowflake, Iceberg, Trino, and Postgres. Strong production experience with Kubernetes and at least one major cloud provider (AWS, GCP, or Azure), with working familiarity across multi‐cloud ...

such as Salesforce CPQ, LeanData, or Clay. Exposure to implementing AI capabilities for predictive scoring or automated routing. Practical SQL skills and familiarity with Snowflake or AWS data pipelines. An advanced degree (such as an MBA or related Master's degree). **Please note that visa sponsorship is not available ...

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 ...

manipulate and interpret datasets using Excel and SQL, R or Python. Experience of BI tools (e.g. Tableau or Business Objects) and AWS/Snowflake would be advantageous. Excellent communication skills and experience in collaborating with peers or colleagues. This role will suit you if: You’re looking to grow your ...

Council, ISO 8000, ISO 27001, ISO15489or equivalent data/information management frameworks. Experience with Microsoft Purview, Collibra, Informatica,Ataccama, Alation, Azure, AWS, Databricks, Snowflake, MicrosoftFabricor similar platforms. Experience working with DPOs, SIROs, CISOs, enterprise architects, data platformteamsand business data owners. Experience with GDPR, Data Protection Act 2018, Freedom of Information ...

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 ...

integration platform such as MuleSoft or Informatica Nice to have Experience at a Databricks SI partner, or at Databricks itself Familiarity with competing platforms (Snowflake, Synapse, Fabric, dbt) and how they stack up against Databricks Existing relationships at Databricks Experience standing up a new capability or growing a new team ...

Write and maintain SQL and PL/SQL (Oracle 19c+) for data processing, reporting, and analytics. Help design and maintain data models (3NF, Star, Snowflake) that support reporting and downstream applications. Develop and maintain dashboards and reports using tools such as Power BI. Investigate data issues, perform root‐cause analysis … production. 5+ years working with large datasets in a data engineering or similar role. Good understanding of data warehousing concepts, data modelling (Star/Snowflake/3NF), and ETL/ELT pipelines. Experience tuning SQL/PLSQL queries and improving performance of reports and data extracts. Hands‐on experience with ...

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 ...

fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging technologies such as: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple … leveraging AI-assisted workflows to optimise task efficiency. Strong communication and interpersonal skills. Preferred Qualifications: Certifications in Azure, AWS, or GCP. Certifications in Databricks, Snowflake or similar technologies. Experience in the leading large scale data engineering projects. Excellent understanding of data architecture involving data mesh, data lake, data warehouse ...

Data Engineer – Snowflake We are seeking an experienced Data Engineer with strong expertise in Snowflake, data analysis and data architecture to join our Data Services team and play a key role in delivering our Reporting & Analytics programme. This is an exciting opportunity to help shape and develop an enterprise data … Role As a Data Engineer, you will be responsible for designing, developing and maintaining the enterprise data platform, with a particular focus on Snowflake . You will work across data architecture, engineering and analysis, ensuring data flows seamlessly from source systems into Snowflake and ultimately into the Power BI reporting ...

solutions and insights for senior stakeholders. Essential skills Strong hands-on SQL and advanced Power BI skills, including data modelling and DAX. Hands-on Snowflake experience is essential. Experience with data pipelines, integrations, reporting, data quality and governance. #J-18808-Ljbffr ...

Data Engineer • Bigdata Technologies – PySpark, Spark • Coding Languages – Python, SQL • AWS services – Glue, Cloud formation, Lake Formation, IAM, Lambda, Redshift • Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka. • Work in an Agile environment and participation in scrum daily standups, sprint planning reviews and retrospectives. • Understand project requirements ...

with DevOps and ML tooling, including Kubernetes, Docker, CI/CD, and git-based workflows Familiarity with cloud platforms (AWS) and cloud data warehouses (Snowflake/SQL) Salary: to be discussed, depending on experience Length: 12 months, with the view to extend #J-18808-Ljbffr ...

certifications are desirable Ideally you will have experience with: Azure DataFactory/Azure Databricks MS SQL Server/SSMS/SSAS API Integrations Snowflake Node-RED ThoughtSpot If you are interested in this role, please apply! If you do not receive a response please accept your application is not suitable ...

Risk Team on a critical data platform maintenance and enhancement programme. Investment Data Engineer, key skills: Strong commercial experience in Data Engineering, particularly using Snowflake Proven experience developing and maintaining workflows using Apache Airflow and DBT (Data Build Tool) Experience integrating and supporting Bloomberg data feeds, services or associated investment ...

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 ...

visualisations * Ability to communicate technical findings to non-technical stakeholdersDesirable experience but not essential:* Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA) * BigQuery, Snowflake, or other cloud data platforms * Customer Data Platforms (CDPs) * Data privacy and consent management frameworksApply today with your CV to find out more about this ...

Power Query. Utilize DAX formulas within Power BI to enhance data measurement and meet team requirements. Create and format secure data structures using SharePoint, Snowflake, and PowerApps. Collaborate with cross-functional team members to translate business needs into effective data solutions. Document processes and help train non-technical stakeholders ...