526 to 550 of 1,738 Databricks Jobs in England

platforms, and advanced analytics to enhance decision-making and client outcomes. We partner with leading AI and technology providers — including Anthropic, Microsoft, AWS, and Databricks — to accelerate innovation and expand platform capabilities. By connecting proprietary data, AI infrastructure, and commercial strategy, the team drives transformation across Moody's, delivering solutions ...

optimisation.* AI observability and evaluation.**Preferred Certifications*** Google Cloud AI/ML or Vertex AI certification.* Azure AI Engineer or AWS Machine Learning certification.* Databricks, BigQuery, or data engineering certification.* Kubernetes certification.* TM Forum Autonomous Networks or Open API certification.**Nice-to-Have Qualifications*** Experience with Google Vertex AI, Gemini ...

automation, deployment)Proficient software development experience in one of Java, Scala, or PythonSoftware development experience with data-processing platforms from vendors including Informatica,Azure Databricks or any relevant ETL toolsExpert in SQL or SQL extensions for analytical use caseExpert understanding of distributed data stores and data processing frameworksAbility to simply ...

cross‐domain consistency at scale. Partnering with engineering teams to shape physical schemas, optimise performance, and guide workload placement across cloud platforms (AWS, Snowflake, Databricks). Influencing senior stakeholders across Product, Controls, Architecture, and Engineering to align on business rules, semantic definitions, and strategic priorities. Some other highly valued skills ...

environments is a plusWhile we advocate using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and AzureFamiliarity with Generative AI (GenAI ...

challengesWhile we advocate using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and AzureExperience with Generative AI (GenAI ...

design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment ...

professional qualification or professional accreditation with 4 years post related experience.Demonstrable experience of delivering data integration using AI and or Machine Learning Tools e.g. Databricks, Watson, Microsoft Cognitive Toolkit, TensorFlow. Demonstrable experience of designing mathematical and statistical models to resolve business challenges.Demonstrable experience applying data science, analytics and data integration ...

content rights and confidentiality.Key ResponsibilitiesML & LLM Engineering, Search and Recommendation EnginesAutomate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI) Maintain and version model registries and artifact stores to ensure reproducibility and governance Develop and manage CI/ ...

extraction, transformation, and pipeline development. Experience with dashboarding and visualisation tools (e.g., Tableau, Qlik, or similar). Familiarity with big data tools (e.g., Snowflake, Databricks, Spark) and ETL processes. Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences. Strong problem-solving skills ...

features.Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes).Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines).Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI)Strong problem-solving abilities, with the capacity to learn quickly ...

Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes). Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) Strong problem-solving abilities, with the capacity ...

features. Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes).Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines).Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI)Strong problem-solving abilities, with the capacity to learn ...

fast‐paced, distributed environment with both technical and non‐technical teams Nice to Have Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance Experience automating BI administration through platform APIs, or identity and access through Okta, SCIM or role‐based access controls Experience supporting ...

enterprise deals Leverage a background in technical leadership roles within a Data & AI Center of Excellence or Enterprise Architecture group Maintain advanced proficiency across Databricks, Snowflake, and at least one major cloud platform including AWS, Azure, or GCP Demonstrate deep technical mastery in data pipeline architecture, data democratization, security guardrails ...

bring both the strategic acumen of a consultant and the competitive drive of a closer.Demonstrated experience selling in or alongside platforms such as Snowflake, Databricks, AWS, Azure, Google Cloud, or similar.Skilled in uncovering strategic business pain points and aligning value-driven solutions that accelerate AI readiness and trust in data.Strong ...

supporting enterprise-scale data platforms, pipelines and integration solutions, with a proven track record delivering successful data transformation initiatives. Strong technical expertise in Azure, Databricks, T-SQL and modern cloud-based data technologies, with a solid understanding of data architecture, integration patterns and governance principles. Demonstrated ability to develop technical ...

both the strategic acumen of a consultant and the competitive drive of a closer. Demonstrated experience selling in or alongside platforms such as Snowflake, Databricks, AWS, Azure, Google Cloud, or similar. Skilled in uncovering strategic business pain points and aligning value-driven solutions that accelerate AI readiness and trust ...

/mentor junior colleagues. Essential Strong hands‐on experience with Azure services: App Service, Azure SQL Database, Application Gateway, API Management, Servicebus, Storage Accounts, Databricks Expertise in Infrastructure as Code using Terraform and scripting knowledge (PowerShell, bash). Experience building and managing CI/CD pipelines with Azure DevOps, experience ...

changed how you work, not just how fast. We expect you to enjoy leveraging AI and agentic systems to operate more effectively.Tech environmentScala | Spark | Databricks | AWS | Claude | Airflow | Kubernetes | Terraform | Functional ProgrammingYou will thrive here if youEnjoy end-to-end ownership, from writing the code to architecture design to coaching ...

leading cloud-based data platforms and production-grade data workflowsWorking with data pipelines, data modelling, orchestration and modern cloud data tools such as Databricks, BigQuery, Spark or similarEvent-driven or streaming data patterns, as well as more traditional operational, legacy or non-event-driven data environmentsDesigning reliable, observable and well ...

self-organising in a fast-paced, distributed environment with both technical and non-technical teamsNice to HaveExperience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performanceExperience automating BI administration through platform APIs, or identity and access through Okta, SCIM or role-based access controlsExperience supporting ...

data, 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 ...

Experience designing and enforcing data contracts and quality SLAs in distributed data ecosystems. Proficiency in Python, Java, or Scala, and experience building pipelines with Databricks, Spark, or Kafka. Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices. Familiarity with metadata management and data catalog ...

work, not just how fast. We expect you to enjoy leveraging AI and agentic systems to operate more effectively. Tech environmentScala | Spark | Databricks | AWS | Claude | Airflow | Kubernetes | Terraform | Functional ProgrammingYou will thrive here if youEnjoy end-to-end ownership, from writing the code to architecture design to coaching others through ...