701 to 725 of 1,397 Permanent Databricks Jobs

Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks) Relevant technical depth: You have practical experience in one or more of information retrieval, semantic search, natural language processing, clustering or LLM-based applications ...

across PostgresDB and MongoDB databases. Cloud & Platform Operations: Support the deployment and monitoring of application environments hosted on Microsoft Azure, Container App Environments, and Databricks under supervision. AI & Continuous Integration Workflows: Assist in integrating AI/LLM capability workflows (such as Claude and Gemini) into existing services, utilizing Azure DevOps ...

sales within the context of highly technical sales, specifically in Public Sector and/or Nonprofit Expertise in modern cloud data platforms (e.g., Snowflake, Databricks, BigQuery) and data analytics tools (e.g., Tableau), acquired through years of technology sales experience Experience with AI-driven customer engagement solutions and the Salesforce platform ...

Data & AI - Seen as a credible thought partner to CXOs, with strong understanding of Data, AI, Analytics and tech ecosystems (AWS, Azure, GCP, Databricks, Palantir), enabling articulation of value, limitations, and ROI while influencing strategic decisions and guiding Data & AI-led transformation EXL Differentiation - Position EXL as a Data ...

sales within the context of highly technical sales, specifically in Public Sector and/or Nonprofit. Expertise in modern cloud data platforms (e.g. Snowflake, Databricks, BigQuery) and data analytics tools (e.g. Tableau), acquired through years of technology sales experience. Experience with AI-driven customer engagement solutions and the Salesforce platform ...

Data & AI - Seen as a credible thought partner to CXOs, with strong understanding of Data, AI, Analytics and tech ecosystems (AWS, Azure, GCP, Databricks, Palantir), enabling articulation of value, limitations, and ROI while influencing strategic decisions and guiding Data & AI-led transformation EXL Differentiation - Position EXL as a Data ...

JPMorgan Chase. Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter ...

work. We're technology-agnostic but technology-deep. We hold premium partnerships with the platforms shaping this industry, including Google, Anthropic, OpenAI, Databricks, and AWS, giving our consultants direct access to the newest capabilities before they reach the mainstream. Half of our projects involve collaboration across more than two offices ...

e.g., Datadog, Grafana, Conviva) and handling high-volume telemetry data. Familiarity with large-scale data platforms and distributed data processing tools (e.g., PySpark, Pandas, Databricks, Snowflake). Knowledge of prompt design, model evaluation, and fine-tuning foundation models (GPT-4, Claude). Experience implementing production-grade systems at scale within ...

roadmaps, standards, reference patterns, guardrails and work packages. Maintain coherence across EFC’s strategic platforms and domains, including Azure, SAP and SAP BTP, ServiceNow, Databricks, the DRS core, integration services, RVM connectivity and external retailer and supplier interfaces. Operate the day-to-day Architecture and Technical Design Authority within delegated ...

Navigating Large-Scale Disparate Data: Direct the extraction, wrangling, and consolidation of messy, unstructured, and semi-structured datasets from disjointed platforms (e.g.Salesforce, Stripe, NetSuite, Databricks data warehouse ,and distributor billing CSVs). Single Source of Financial Truth: Collaborate with Data Engineering to automate data pipelines, standardize core SaaS metrics, andestablishautomated ...

commercial performance, including revenue, profitability, customer behavior and product adoptionDeveloping forecasts, scenario models and sensitivity analysis to support commercial planning, prioritization and investment decisionsUsing Databricks, SQL and Python notebooks to build reproducible analyses and automate reporting workflowsProducing and maintaining stakeholder-facing dashboards, clearly communicating performance, trends and prioritiesPresenting findings ...

cloud governance. Platform engineering, DevSecOps and governance-as-code. Containers and orchestration technologies such as Kubernetes and Azure Kubernetes Service (AKS). Microsoft Purview, Databricks or enterprise data platform architecture. Zero Trust architecture, secure access service edge and technologies such as Zscaler. Artificial intelligence, Microsoft Copilot or agentic AI architecture ...

cloud governance. Platform engineering, DevSecOps and governance-as-code. Containers and orchestration technologies such as Kubernetes and Azure Kubernetes Service (AKS). Microsoft Purview, Databricks or enterprise data platform architecture. Zero Trust architecture, secure access service edge and technologies such as Zscaler. Artificial intelligence, Microsoft Copilot or agentic AI architecture ...

cloud governance. Platform engineering, DevSecOps and governance-as-code. Containers and orchestration technologies such as Kubernetes and Azure Kubernetes Service (AKS). Microsoft Purview, Databricks or enterprise data platform architecture. Zero Trust architecture, secure access service edge and technologies such as Zscaler. Artificial intelligence, Microsoft Copilot or agentic AI architecture ...

practice. Nice to have Experience integrating with AI/ML systems or model-serving infrastructure. Exposure to enterprise data platforms (for example Palantir Foundry, Databricks or Snowflake). Observability tooling (Prometheus/Grafana, ELK/OpenSearch). Container orchestration (Kubernetes, ECS) and infrastructure as code. Experience in regulated, safety-critical ...

vector databases and semantic search pipeline design. Essential - Experience with Model Context Protocol (MCP). Essential - Experience with large‐scale data platforms such as Databricks and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Essential - Demonstrated ability to design enterprise‐grade AI systems with strong ...

world. About the role: This role sits within the Great Lakes Data & BI team, responsible for building and maintaining data products within the Azure Databricks lakehouse, including Silver and Gold table transformations and semantic layer outputs, and for diagnosing and resolving data issues arising from the data intake platform. Reporting … while collaborating with the wider business, from Underwriters to Actuaries. Key Responsibilities: Design, build, and maintain Silver and Gold table transformations within the Azure Databricks lakehouse, in line with agreed medallion architecture principles Contribute technical input into data modelling discussions for Silver and Gold layers, working closely with ...

reliable partner to the wider organisation. Responsibilities Technical Delivery Design and build ingestion pipelines across a variety of sources using ADF and Databricks orchestration patterns. Build and optimise data transformations in Databricks, including fact/dimension modelling for data marts. Implement metadata-driven engineering practices that use platform contracts … review. Skills & Technologies Core Data Engineering Data warehouse and data mart modeling: fact/dimension design, slowly changing dimensions, schema evolution. Platform Stack Databricks notebooks and workflows; Azure Data Factory pipelines. Metadata-driven orchestration patterns and platform contract design. Analytics Consumption Power BI/Fabric semantic model and report delivery ...

seeking a Senior Data Engineer to join Primark’s Data Platform & Engineering team, leading the design and delivery of scalable data solutions on our Databricks-based enterprise platform. You will build and optimise trusted data products that power reporting, analytics, AI and data science across the business. Working closely with … technical leadership, mentor Data Engineers and drive engineering best practices. This is a hands-on role for an experienced engineer with deep expertise in Databricks, dbt Cloud, Spark and SQL, who is passionate about delivering high-quality data solutions. You will play a key role in Primark’s migration from ...

role for you. Responsibilities Building and operating cloud data and platform solutions across modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data … requirements and contribute to solutions that meet both technical and business needs Required Experience Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Python and SQL, with strong engineering fundamentals Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering ...

will work across the following: Building and operating cloud data and platform solutions across modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data … meet both technical and business needs We are looking for experience in the following: Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Python and SQL, with strong engineering fundamentals Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering ...

will work across the following: Building and operating cloud data and platform solutions across modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data … meet both technical and business needs We are looking for experience in the following: Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Python and SQL, with strong engineering fundamentals Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering ...

will work across the following: Building and operating cloud data and platform solutions across modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data … meet both technical and business needs We are looking for experience in the following: Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake Python and SQL, with strong engineering fundamentals Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering ...

Halfords is seeking a Data Solution Architect to design end-to-end data solutions that deliver genuine business value. You’ll work with Data and Lead Solution Architects to translate requirements into data flows, models ...