276 to 300 of 2,102 Databricks Jobs in the UK

ability to influence senior technical leaders on safe scaling patterns and reuse. Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Deep hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services ...

technologies – Azure experience would be beneficial, but we're open to candidates with transferable experience from other cloud platforms. (Desirable) Progress OpenEdge experience. (Desirable) Databricks, Spark or PySpark experience. (Desirable) Experience feeding data into AI systems, including RAG pipelines, vector stores, embedding workflows, or using Azure AI Foundry or similar ...

semi-structured data. Experience with batch and near real-time processing across multiple sources and targets. Practical capability with Azure Data Factory and Databricks or Spark, plus Azure Blob Storage or Azure Data Lake. Understanding of data modelling, data marts, metadata-driven development, data dictionaries and lineage. Experience delivering through ...

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 architecture, including ...

real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks* Ability to think strategically and relate architectural decisions and recommendations to customer needs.* Ability to assess traditional and modern data architectural components based on business ...

code, code review, CI/CD). Data & Pipeline Expertise: Hands-on experience optimizing data models and access patterns for modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats ...

expectations on 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 ...

Robotics- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials- Demonstrating proficiency in AI implementation and machine learning libraries- Utilizing complex data analysis and data modeling techniques- Excelling ...

Consulting implementation partner or as part of a delivery/technical consulting team in a software company.* Experience with large data such as Snowflake, Databricks, AWS, Google Cloud Storage/Big Query, Azure administration or architecture* Experience with Customer Data platforms such as Segment, Tealium, Adobe Experience Platform, Amperity, Treasure ...

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 also work with ...

global, cross-functional teamsPreferredExperience with NLP, computer vision, or multimodal AI modelsKnowledge of AI safety, guardrails, and responsible AI practices in productionFamiliarity with Snowflake, Databricks, or similar data platformsPrior experience acting as an AI champion or innovator within a larger organisationConsulting or client-facing delivery experienceBachelor or Master degree ...

Value Use Cases: Lead customers, partners, and internal teams to uncover impactful Data and AI use cases while proving out their value on the Databricks Data Intelligence Platform. Execute Transformation Strategies: Implement customer data and AI transformation goals through strategic partnerships, well-scoped professional services, training, and targeted C-level … Global System Integrators (GSIs). Executive Presence: Proven capability to co-develop business cases and secure buy-in from C-level executives. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever ...

Senior Databricks Data Engineer | Global Real Estate Investment Manager | London (Hybrid) Marks Sattin is partnering with a global real estate investment and asset management organisation undergoing a significant transformation of its data estate. As part of a wider modernisation programme, the business is migrating critical real estate data capabilities from … legacy SQL Server environments into a modern Databricks platform, creating a more scalable, governed and future-ready foundation for analytics, reporting and investment decision-making. This is an opportunity to play a key role in shaping the future of a business-critical data platform used across real estate equity ...

Senior Databricks Data Engineer | Global Real Estate Investment Manager | London (Hybrid) Marks Sattin is partnering with a global real estate investment and asset management organisation undergoing a significant transformation of its data estate. As part of a wider modernisation programme, the business is migrating critical real estate data capabilities from … legacy SQL Server environments into a modern Databricks platform, creating a more scalable, governed and future-ready foundation for analytics, reporting and investment decision-making. This is an opportunity to play a key role in shaping the future of a business-critical data platform used across real estate equity ...

power of analytics and AI, and make better decisions faster. Today, we're at the forefront of delivering solutions built on Microsoft Fabric, Azure, Databricks, Power BI and AI technologies, enabling our clients to turn data into a genuine competitive advantage. Why Coeo? We're more than just technology specialists. … delivery and client engagements. Key Responsibilities Deliver complex Data & AI, analytics and platform modernization projects using Azure data services including Microsoft Fabric and Azure Databricks . Lead client workshops, architecture discussions and technical engagements. Design scalable, secure and governed data platform and analytics solutions. Support sales and pre‐sales activities ...

place where you can grow, belong and thrive. Your day at NTT DATA Primary Responsibilities Client Engagement & Delivery Data Pipeline Development (Batch and Streaming) Databricks & Lakehouse Architectures Data Modelling & Optimisation ( Delta Lake , Medallion architecture ) Collaboration & Best Practices Quality, Governance & Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers … Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms. Strong consulting values with ability to collaborate effectively in client-facing environments. Hands-on expertise across the data lifecycle: ingestion, transformation ...

Python and SQL and the ability to write complex SQL queries. Use of GitHub and CI/CD practices. Support development of the Azure Databricks Lakehouse platform, shaping frameworks and solutions that other engineering teams will adopt in future data projects. Build, optimise, and maintain data processing frameworks using Python … deliver approved solutions. Take ownership of requirements, communicate effectively across teams, and deliver high quality solutions. Experience of DevOps and infrastructure deployments (Azure and Databricks). A proactive awareness of industry standards, regulations, and developments. Multi-skilled experience in one or more of the following disciplines: Data Management, Data Engineering ...

Computer Science, Data/Business Analytics, or a relevant field (or equivalent experience) Exposure to big data processing frameworks such as Spark or Databricks Experience implementing CI/CD pipelines for data or reporting workflows Familiarity with data governance, security, and compliance frameworks Retail industry experience is preferred … modern data engineering practices, including DevOps, CI/CD, and agile delivery methods Exposure to cloud‐based data platforms and distributed data processing (e.g. Databricks, Spark) We are committed to developing your career and nurturing your talent, regardless of age; disability; gender reassignment; marriage and civil partnership; pregnancy and maternity ...

responsible for several key activities: Design, build, and maintain scalable, secure, and high performing data pipelines using Azure Data Factory, Synapse, Fabric Pipelines, or Databricks Integrate data from multiple systems into Azure Data Lake Storage or OneLake, ensuring consistency, reliability, and performance Develop and maintain ELT/ETL processes using … Contribute to internal knowledge sharing, best-practice development, and engineering accelerators or templates Deep understanding of Azure Data Factory, Synapse, Fabric, Power BI and Databricks Experience in Fabric/data architecture Experience in Fabric/data migrations Understanding of the requirements of stringent data governance Ability to consult with clients ...

place where you can grow, belong and thrive. Your day at NTT DATA Primary Responsibilities Client Engagement & Delivery Data Pipeline Development (Batch and Streaming) Databricks & Lakehouse Architectures Data Modelling & Optimisation (Delta Lake, Medallion architecture) Collaboration & Best Practices Quality, Governance & Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers … Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms. Strong consulting values with ability to collaborate effectively in client-facing environments. Hands-on expertise across the data lifecycle: ingestion, transformation ...

place where you can grow, belong and thrive. Your day at NTT DATA Primary Responsibilities Client Engagement & Delivery Data Pipeline Development (Batch and Streaming) Databricks & Lakehouse Architectures Data Modelling & Optimisation (Delta Lake, Medallion architecture) Collaboration & Best Practices Quality, Governance & Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers … Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms. Strong consulting values with ability to collaborate effectively in client-facing environments. Hands-on expertise across the data lifecycle: ingestion, transformation ...

place where you can grow, belong and thrive.Your day at NTT DATAPrimary Responsibilities• Client Engagement & Delivery• Data Pipeline Development (Batch and Streaming)• Databricks & Lakehouse Architectures• Data Modelling & Optimisation (Delta Lake, Medallion architecture)• Collaboration & Best Practices• Quality, Governance & SecurityBusiness Relationships• Solution Architects• Data Engineers, Developers, ML Engineers, and Analysts• Client stakeholders … Data Architect, and Analytics leadershipTo thrive in this role, you need to have:Key Competencies• Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.• Strong consulting values with ability to collaborate effectively in client-facing environments.• Hands-on expertise across the data lifecycle: ingestion, transformation ...

place where you can grow, belong and thrive.Your day at NTT DATAPrimary Responsibilities• Client Engagement & Delivery• Data Pipeline Development (Batch and Streaming)• Databricks & Lakehouse Architectures• Data Modelling & Optimisation (Delta Lake, Medallion architecture)• Collaboration & Best Practices• Quality, Governance & SecurityBusiness Relationships• Solution Architects• Data Engineers, Developers, ML Engineers, and Analysts• Client stakeholders … Data Architect, and Analytics leadershipTo thrive in this role, you need to have:Key Competencies• Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.• Strong consulting values with ability to collaborate effectively in client-facing environments.• Hands-on expertise across the data lifecycle: ingestion, transformation ...

improve day‐to‐day workflows to scale the team output Build a collaborative culture within a rapid‐growth team. To embody and promote Databricks' customer‐obsessed, teamwork and diverse culture Support an increase in consumption revenue through the investment of Solutions Architect involvement in sales cycles Promote a solution … value‐based selling field‐engineering organisation Display an understanding of business needs and revenue potential for accounts in the assigned region Build Databricks' brand in UK&I in partnership with the Marketing and Sales team Lead from the front by engaging directly with key customer stakeholders to ensure and speed ...

RDQ127R176 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform … lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics. The impact you will have Lead and grow an engineering ...