751 to 775 of 1,176 Databricks Jobs

Nice to Haves Direct experience selling customer data platforms, data integration, developer tools, cloud infrastructure, or AI infrastructure. Familiarity with technologies such as Snowflake, Databricks, BigQuery, Redshift, Kafka, dbt, or related modern data platforms. Experience selling infrastructure or consumption‐based software. Prior experience at a company navigating a major product ...

SaaS commercial models, including usage-based or capacity-based pricing.Experience with enterprise identity, governance or administration platforms.Knowledge of enterprise integrations — APIs, connectors, SharePoint, Snowflake, Databricks or MCP frameworks.Domain fluency in financial markets and how regulated institutions evaluate technology.If indicated, please note that years of experience are a guide; we will ...

trusted advisorResolve critical delivery risks and escalations across workstreamsEnsure integration across finance, data, and technology domains (e.g. SAC Planning, BDC, Datasphere/Databricks/Snowflake)2. Commercial LeadershipOwn and contribute to sales pipelines, leading pursuits and proposals for EPMShape client propositions around FP&A TransformationLead bid teams, including solutioning, pricing ...

analytical skills, with experience using tools such as SQL, Python, Tableau, or equivalent.Familiarity with modern data platforms and large‐scale data environments (e.g., Snowflake, Databricks).Experience defining functional, analytical, or risk requirements for technology‐enabled control solutions.Strong stakeholder management skills, with the ability to influence across Product, Technology, Operations, Compliance ...

skills, with experience using tools such as SQL, Python, Tableau, or equivalent. Familiarity with modern data platforms and large ‐ scale data environments (e.g., Snowflake, Databricks). Experience defining functional, analytical, or risk requirements for technology ‐ enabled control solutions. Strong stakeholder management skills, with the ability to influence across Product, Technology ...

experience[Preferred] Specific experience with LLMs and agentic systems[Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow[Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs[Preferred] Experience building AI products in highly accuracy-sensitive domains such ...

skills, with experience using tools such as SQL, Python, Tableau, or equivalent. Familiarity with modern data platforms and large ‐ scale data environments (e.g., Snowflake, Databricks). Experience defining functional, analytical, or risk requirements for technology ‐ enabled control solutions. Strong stakeholder management skills, with the ability to influence across Product, Technology ...

every stage of the deal cycle. Build enablement programs that help the GTM org understand how to co-sell alongside Technology partners (e.g. Shopify, Databricks, Snowflake) and leverage Marketplace channels (AWS, GCP) to source and accelerate opportunities. Establish a consistent operating rhythm with Partnerships and GTM leaders to surface enablement ...

Data Engineering profile. They’re open to people from Data Engineering, Platform, DevOps or Systems Engineering backgrounds, but strong data foundations and hands-on Databricks experience are key.The roleYou’ll work within a cross-functional team, helping continue the move towards a Databricks-native environment and building reliable, scalable data … platform capabilities.You’ll be working across:Databricks, Python, SQL and Spark High-volume data ingestion and transformation Production ETL/ELT pipelines APIs, SFTP/FTPS and automated data retrieval CI/CD, automated testing and deployment Platform reliability, monitoring and troubleshooting Azure infrastructure, security and governance Data Science ...

Warehousing Developer or Business Intelligence Developer. Knowledge, Training & Experience EssentialAdvanced experience of Azure infrastructure or other cloud computing platforms, including Data Factory, ETL processes, Databricks and Data Lake technologiesAdvanced knowledge of Azure infrastructure or other cloud computing platforms, including Data Factory, ETL processes, Databricks and Data Lake technologiesAdvanced knowledge … Warehousing Developer or Business Intelligence Developer. Knowledge, Training & Experience EssentialAdvanced experience of Azure infrastructure or other cloud computing platforms, including Data Factory, ETL processes, Databricks and Data Lake technologiesAdvanced knowledge of Azure infrastructure or other cloud computing platforms, including Data Factory, ETL processes, Databricks and Data Lake technologiesAdvanced knowledge ...

Senior Data Engineer - London - AWS - Databricks - £75K I'm looking for a Senior Data Engineer to join a growing, data and analytics focused client in London with experience on AWS and Databricks. You will work closely with the Data science team too, building pipelines for advanced analytics and machine learning … innovative and exciting company (and potentially love sport) then this could be a great role for you.* Strong experience with AWS services and Databricks * Proficiency in SQL and experience with data modeling * Familiarity with ETL processes and data integration tools * Knowledge of data warehousing concepts and architecture * Ability to work ...

scale reporting and analytics landscapes.In this dual-capability role, you will champion the design and governance of our Common Data Layer (CDL) on Azure Databricks while leading end-to-end data product delivery across global Supply Chain workstreams (including Quality, MAKE, Inventory, and Planning). The ideal candidate bridges … processes to deliver actionable, enterprise-grade business insights.Key ResponsibilitiesData Architecture & CDL Governance: Design, implement, and govern the enterprise Common Data Layer (CDL) on Azure Databricks using Delta Lake and L0–L1–L2 architectures. Establish data quality frameworks, schema evolution standards, and deduplication logic.Pipeline & Integration Engineering: Oversee the creation of scalable ...

shape appropriate technologies for scalable analytics, trading strategy development, tick or time-series data, workflow automation and AI/ML-enabled use cases.• Prefer Databricks, Spark and modern lakehouse patterns for scalable analytics where suitable, while recognising transferable experience with Snowflake and other enterprise data platforms.• Ensure delivery choices balance … senior stakeholders, define OKRs, shape roadmaps and deliver enterprise data or analytics products.• Hands-on understanding of data technologies and modern analytics platforms, preferably Databricks/Spark and lakehouse patterns; Snowflake experience is relevant and transferable but Databricks experience is preferred.• Experience with Python, SQL and production analytics workflows; familiarity ...

maintain Power BI reports and dashboards. Develop reporting and analytics solutions to improve business insight and operational efficiency. Support data engineering activities using Databricks, Azure Data Factory, and SQL. Contribute to data governance, data quality, and reporting improvement initiatives. Essential Skills & Experience Strong experience with Databricks, Azure Data Factory ...

opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.Scale and maintain a managed AWS Databricks platform, and provides engineering and operational support for the platform to Application/Engineering teams.Drives reuse-first adoption of enterprise-authorized AI capabilities within … reinforce organization-level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes.Extensive experience with AWS, Databricks, or Snowflake platform administration and engineering support is a MUST.Experience with monitoring tools, automation frameworks, and CI/CD pipelines.Proficient in Python application program development with ...

Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Azure Datalake, Databricks, Python (Azure Reference architecture). Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data … Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Azure Datalake, Databricks, Python (Azure Reference architecture). Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data ...

Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Azure Datalake, Databricks, Python (Azure Reference architecture). Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data … Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Azure Datalake, Databricks, Python (Azure Reference architecture). Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data ...

Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Azure Datalake, Databricks, Python (Azure Reference architecture). Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data … Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Azure Datalake, Databricks, Python (Azure Reference architecture). Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data ...

governance and quality.What we are looking for: ExperienceProven leadership of enterprise-scale data platforms in complex organisationsDeep expertise in cloud data technologies, including Snowflake, Databricks, AWS, and Microsoft stackStrong background in platform architecture and multi-vendor, multi-cloud environmentsExperience working in Agile environments with diverse stakeholdersKnowledge of DevOps, CI/… relevant fieldExtensive experience in data platforms, platform architecture, and analytics within large, complex organisationsStrong hands-on expertise across:Modern data stack & DataOps (Snowflake, Databricks)Platform architecture & engineering (ETL/ELT, modelling, warehousing)Cloud platforms (AWS, Azure, GCP)Programming (SQL essential, Python, Spark, Java/Scala)Data governance & security (including GDPR ...

Job Role: Data EngineerEvery functional area, in every industry, is on an AI Journey. The power of machine learning to dramatically improve company key performance indicators is being proven every day. But, although we feel ...

Role : Data Architect Location: City of London Salary: up to £120,000 Flexible working: 1xday a week in the office We're working with a leading financial services organisation investing heavily in its data platform ...

architectures and take ownership from data foundations through to AI-driven outcomes. You will work within the Data Platforms team, at the forefront of Databricks Lakehouse, Azure AI, and emerging agentic frameworks, helping clients modernise and transform their data and AI capabilities. PLEASE NOTE: Security Clearence: To be successfully appointed … about your citizenship in the application process. The Focus Of Your Role You will shape next-generation data and AI platforms by combining deep Databricks expertise with modern engineering practices. Using tools such as VS Code and AI-assisted development, you will rapidly design, build, and scale enterprise solutions while ...

FEQ227R117Location: London, United KingdomIndustry:Professional Business Services (Consultancy, Legal, etc)At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. … will influence stakeholders at all levels through complex engagements with the broader cloud ecosystem and third-party applications, ensuring they are excited by the Databricks vision and solution strategy.Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture ...

technology leadership, you'll define the architectural vision while driving the implementation of a modern Lakehouse and Data Warehouse environment built on Microsoft and Databricks technologies. Responsibilities: Designing enterprise-scale data warehouse and Lakehouse architectures Developing data platform strategies using Microsoft Fabric OneLake and Databricks Building scalable data models … translate strategic objectives into technical solutions Requirements: Enterprise data warehouse architecture and design Microsoft Fabric, Azure Data Platform technologies and modern Lakehouse architectures Databricks, Unity Catalog and Delta Lake PySpark, Databricks, SQL Medallion Architecture implementation Data modelling approaches including Star Schema and Data Vault Data governance, security and access management ...

technology leadership, you'll define the architectural vision while driving the implementation of a modern Lakehouse and Data Warehouse environment built on Microsoft and Databricks technologies. Responsibilities: Designing enterprise-scale data warehouse and Lakehouse architectures Developing data platform strategies using Microsoft Fabric OneLake and Databricks Building scalable data models … translate strategic objectives into technical solutions Requirements: Enterprise data warehouse architecture and design Microsoft Fabric, Azure Data Platform technologies and modern Lakehouse architectures Databricks, Unity Catalog and Delta Lake PySpark, Databricks, SQL Medallion Architecture implementation Data modelling approaches including Star Schema and Data Vault Data governance, security and access management ...