76 to 100 of 1,821 Databricks Jobs in England

Azure or GCP), including object storage, compute and managed data services.Strong experience with modern data warehousing/lakehouse tools (e.g., Snowflake, BigQuery, Redshift, Databricks).Hands-on orchestration experience (e.g., Airflow, Dagster, Prefect) and CI/CD for data pipelines.Experience with streaming and event-driven data (e.g., Kafka, Kinesis, Pub/ ...

Market Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions, familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms, knowledge of market data vendors, data mastering, golden ...

practices across the wider data community Skills and experience you need as Analytical Engineer Strong hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines ...

Tableau or other data visualisation platforms for client facing deliverables Working with large and complex datasets, ideally in structured databases and distributed systems like Databricks Cloud-based platforms such as Microsoft Azure, AWS or Google Cloud Experience in some of the following areas would also be beneficial: Generative ...

London, United Kingdom Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production‐grade … applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ...

Market Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions. Familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms. Knowledge of market data vendors, data mastering, golden ...

Traded Market Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions.Familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms.Knowledge of market data vendors, data mastering, golden-source ...

technical stakeholders Proficient in Microsoft Fabric platform (Great to have skill) Relevant certifications in cloud technologies are a plus, such as: Data Engineering certifications, Databricks certifications We encourage you to apply even if your profile does not meet all the requirements for the role. We are looking for a diverse ...

Market Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions. Familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms. Knowledge of market data vendors, data mastering, golden ...

operational workloads,AIand emerging usecases. You may work with technologies and architectural approaches including, butnotlimited to: Cloud platforms:AWS,Azureand GCP Modern data platforms:Databricks, Snowflake and cloud-native data services Data architecture:Lakehouse, medallion, datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed processing technologies Data storage:Delta ...

GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications … Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including ...

copy that data into proprietary silos while customers expect real-time, personalized experiences. Customer Lake, the agentic Customer Data Platform (CDP) built natively into Databricks, changes that equation. It unifies first- and third-party data into governed Customer 360 profiles, resolves identities, and uses agents to build audiences, recommend next … Architect (Customer Lake) team is part of a dedicated, global go-to-market organization focused on driving adoption and revenue growth for Customer Lake, Databricks’ agentic Customer Data Platform (CDP) built natively into the Data Intelligence Platform. The Customer Lake SA will engage clients across business units and verticals, build ...

Data & AI transformation programmes Technology & Transformation helps organisations unlock the full value of their data through modern platforms, cloud technologies, and AI. As a Databricks Architect & Delivery Lead, you'll define the technical vision and lead its successful delivery designing enterprise-scale architectures, shaping technology strategy, and ensuring data, machine … deliver impact how and where it matters most.Connect to your opportunity We're expanding our AI & Data practice and are looking for experienced Databricks architects who combine deep technical expertise with strategic thinking and delivery leadership. You'll work alongside exceptional data, AI, cloud, and engineering specialists to define enterprise ...

data engineering solutions. We're looking for someone with at least three years' experience in Data Engineering and hands-on experience with Microsoft Fabric, Databricks, Snowflake or similar cloud platforms. You'll have strong Python/PySpark skills, experience integrating with APIs, and a background in Agile development. ...

data engineering solutions. We're looking for someone with at least three years' experience in Data Engineering and hands-on experience with Microsoft Fabric, Databricks, Snowflake or similar cloud platforms. You'll have strong Python/PySpark skills, experience integrating with APIs, and a background in Agile development. ...

pipelines Strong understanding of data modelling and modern data architecture principles Experience working with cloud platforms such as Azure, AWS or GCP Knowledge of Databricks, Azure Data Factory, Microsoft Fabric or similar modern data platforms Experience with Git, CI/CD and DevOps best practices Strong communication skills with ...

expertise in data engineering, delivering data architectures, data pipelines and solutions that are robust and scalable using modern delivery frameworks and tools (e.g. Databricks) Experience in using cloud technologies (Azure, AWS, GCP) as both infrastructure and as a service, as well as big data platforms either on‐premise or cloud ...

strong track record of delivering modern cloud-based data platforms and possess expertise across data engineering, architecture, governance and analytics. Experience with Microsoft Azure, Databricks, SQL and Python is essential, alongside a strong understanding of data warehousing, data modelling and information lifecycle management. You will be equally comfortable discussing strategy ...

database design principles Experience with Microsoft Azure and Azure Data Lake Storage (ADLS) Experience with data engineering tools such as Azure Data Factory, Databricks, Apache Spark, dbt or Airflow Experience with cloud data platforms such as Azure Synapse Analytics or Snowflake Experience using Git for version control Experience integrating REST ...

proactive, self-directed mindset with strong problem-solving skillsDesirable:Experience within the airline or travel industryExposure to AI/ML solutions and productionisationExperience with Databricks, Snowflake or modern lakehouse platformsInfrastructure-as-code and serverless pipeline experienceData lake migration and solution architecture experienceWHAT YOU’LL GET IN RETURNUp to 20% maximum ...

capability (semantic modelling, DAX, dataflows) and data-visualisation expertise.Strong SQL and data modelling skills, building scalable and performant solutions.Experience with modern data platforms (Databricks lakehouse, Azure cloud data ecosystem).Ability to build trusted, well-governed datasets with strong data-quality and validation practices.Proactive delivery mindset, managing priorities, dependencies and stakeholder ...

Strong experience building and maintaining data pipelines using SQL, Python, or similar technologies.Experience with modern cloud data platforms, ideally Snowflake, or alternatives such as Databricks, Redshift, Synapse, BigQuery, or Azure Data Lake.Experience developing cloud-based solutions, with AWS preferred, or equivalent experience in Azure or GCP.Familiarity with data transformation ...

e.g., SQL, Python, Spark, cloud platforms), with a commitment to code quality and delivery excellence Preferred qualifications, capabilities, and skills Hands-on experience with Databricks for scalable data engineering, analytics, and collaborative development, as well as proficiency in managing large datasets using Apache Iceberg for efficient, reliable table management ...

Management, Data Governance, Service Catalogue, Data Lineage tools, Operational Dash boards, Process Monitoring toolsWorking knowledge in Azure/AWS cloud platforms with Snowflake and Databricks is a huge plus Knowledge about internal and external integrations, triage issues and implement/recommend solutions to data problems and anomalies.Experience and/ ...

Data Governance, Service Catalogue, Data Lineage tools, Operational Dash boards, Process Monitoring tools. Working knowledge in Azure/AWS cloud platforms with Snowflake and Databricks is a huge plus. Knowledge about internal and external integrations, triage issues and implement/recommend solutions to data problems and anomalies. Experience and/ ...