351 to 375 of 2,092 Databricks Jobs in the UK

business problems.Preferred:Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses.Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow.Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI.Experience applying AI tools, including large language ...

patterns such as data mesh, data lakehouse, or event-driven analytics- Familiarity with common financial services data platforms and vendors (e.g. KDB+, Bloomberg, Snowflake, Databricks) and how they integrate with cloud-native servicesAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central ...

least one major cloud provider (AWS, Azure, or GCP). Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate. Disciplined use of AI tools across the delivery process with the ability to validate output ...

patterns such as data mesh, data lakehouse, or event-driven analytics Familiarity with common financial services data platforms and vendors (e.g. KDB+, Bloomberg, Snowflake, Databricks) and how they integrate with cloud-native services Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central ...

proficiency in Python and experience developing data‐intensive applications and services. Experience with React and modern front‐end development frameworks and libraries. Familiarity with Databricks, Snowflake, and modern cloud‐based data platforms. Experience with full‐stack application architecture and distributed systems. Solid understanding of web application security, performance optimization ...

Python, Business Intelligence platforms, or Product Analytics tools. Familiarity with databases and cloud data warehouses (e.g., Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks). A successful record of experience in sales engineering, customer success, client‐facing professional services, consulting, or technical project management. Excellent written, analytical, communication, and presentation ...

Experience in retail, ecommerce or fashion, particularly across commercial, buying, merchandising or supply chain. Data skills including SQL, data modelling and platforms such as Databricks or Microsoft Fabric. Experience with responsible AI and governance, emerging agent standards such as Model Context Protocol (MCP), or ITIL based service management. ...

Book, 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 ...

Datasphere, SAP Analytics Cloud, or SAP BTP certifications.Experience in Life Sciences, Pharmaceutical, Biotechnology, or highly regulated industries.Experience with Microsoft Fabric, Azure Data Platform, Snowflake, Databricks, or other modern cloud data ecosystems.Strong knowledge of AI-driven analytics, data products, and enterprise information management frameworks.Equal Employment Opportunity (EEO)It is the policy ...

Book, 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 Copilot or enterprise data platforms. Experience building new consulting propositions or scaling a consulting capability. Experience working in multi-supplier, client-side advisory ...

Experience in retail, ecommerce or fashion, particularly across commercial, buying, merchandising or supply chain. Data skills including SQL, data modelling and platforms such as Databricks or Microsoft Fabric. Experience with responsible AI and governance, emerging agent standards such as Model Context Protocol (MCP), or ITIL based service management. ...

Identity management Software 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 ...

Strong organisational and leadership capabilities. Desirable Experience supporting Generative AI, machine learning, large language model (LLM), or agentic AI solutions. Experience with Azure AI, Databricks, Microsoft Copilot Studio, Azure OpenAI, Foundry, or similar AI technologies. Understanding of Responsible AI principles, model monitoring, bias management, and AI governance requirements. Experience within ...

predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands‐On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like ...

quality & pace of your output Technologies we love Languages: Python, Spark, SQL Tools: AWS, Azure, Git, Rest APIs, Kubernetes, Docker, Terraform, Datadog Datastores: Databricks, OpenSearch, Postgres Equal Opportunity Statement At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We’re proud to be an equal ...

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 cloud architectures ...

least one major cloud provider (AWS, Azure, or GCP).Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate.Disciplined use of AI tools across the delivery process with the ability to validate output, supported ...

concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences.Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC).Hands-On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas ...

Overview Strategic Account Executive - Consumer Goods Industry, London, United Kingdom. Databricks is seeking a Strategic Account Executive to grow one of our most strategic CPG customers in the UK, leveraging experience in selling to the sector and managing large, multi-national accounts. Reporting to the Director, Sales, you will bring … usage and booking goals. Lead your team, customers and partners to identify impactful big data and AI use cases and demonstrate value on the Databricks Data Intelligence Platform. Implement the customer’s big data and AI transformation goals through strategic partnerships, scoped professional services, training and targeted Executive Engagement. Develop ...

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 cloud architectures, distributed ...

frameworks, and machine learning principles to generate conversational analytics, predictive and advanced marketing insights. Comfortable working in modern cloud data environments (e.g., Snowflake, BigQuery, Databricks, Fabric). Understanding the data structures and reporting capabilities within major marketing and martech platforms (e.g., Adobe Campaign/AJO, Salesforce Marketing Cloud). Ability ...

Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Confident in delivering solutions using Databricks & developing and optimising data pipelines using PySpark within Databricks environments. Proven experience building, publishing, and supporting dashboards and reports using Power BI Strong experience … familiarity with different development methodologies and disciplines (e.g. Agile, Waterfall Scrum, DevOps, Testing). Experience of DevOps and infrastructure deployments (Azure and Databricks). Ideally, you’ll also have: Delivery experience using the following technology: SAS (SAS EG, SAS DI, SAS Viya). Relational Databases and Data Warehousing concepts. Enterprise ...

JPMorgan Chase & Co. in London seeks a Data Engineer to design and deliver scalable data pipelines and architectures. You will work in an agile team to collect, store, and analyze data securely, enabling business functions ...

architectural standards, design patterns, and best practices across data ingestion, transformation, storage, and consumption layers. Provide technical leadership for Azure-based data platforms, including Databricks, Data Factory, Data Lake, and analytics solutions. Collaborate with Product Managers, Engineers, Analysts, and business stakeholders to translate requirements into robust technical solutions. Own solution … long-term platform strategy. Skillset Extensive experience designing and delivering enterprise-scale Data & Analytics solutions. Strong expertise in Microsoft Azure services including Azure Databricks, Azure Data Factory, Azure Data Lake Storage (ADLS Gen2), Azure SQL, and related data services. Deep understanding of modern data architectures including Data Lakes, Data Warehousing ...

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 SOC 2 and GDPR … Implement access controls, data lineage tracking, and encryption standards Build resilient automated workflows using Step Functions and Databricks Workflows Implement monitoring, logging, and alerting systems for reliability and data quality Guide junior engineers and contribute to internal knowledge-sharing initiatives Stay current with emerging technologies and champion continuous improvement ...