451 to 475 of 1,389 Permanent Databricks Jobs

Workcollaboratively in multi-functional agile squads SupportML and GenAI infrastructure and workflows Skills and experience: Passionfor building scalable, resilient cloud data platforms Strongexperience with Databricks or Snowflake on AWS ProvenPython skills, including Spark and Airflow expertise AdvancedSQL skills and end‐to‐end data modelling experience Experiencebuilding batch and real-time ...

consulting and commercial experience, including business development and selling work. Experience engaging senior stakeholders and presenting at governance/board level. Desirable Experience with Databricks, Azure, AWS, GCP, Snowflake, semantic layers, data products, agentic AI architectures and responsible AI in production would be highly beneficial. This is an opportunity ...

platforms, machine learning or Generative AI. Senior client leadership, team management and a demonstrable consulting or commercial track record. Nice-to-Have Experience with Databricks, Azure, AWS, GCP, Snowflake or major AI platforms. Background in semantic layers, data products, knowledge platforms, agentic architecture or responsible AI. Job Owner: d.prosser #J ...

requirements. Strong communication skills and attention to detail. Desirable Experience Microsoft Fabric. SAP Business Objects or other legacy reporting migrations. Power BI paginated reports. Databricks or similar modern data platforms. Experience working in financial services or insurance. You don't need to have experience with every technology listed above. Strong ...

across teams, improving platform engineering quality and capability Key Skills Deep expertise designing and operating large-scale BI/analytics platforms (Fabric, Power BI, Databricks, Synapse) Strong knowledge of capacity planning, cost optimisation and scaling strategies Expert understanding of platform security, governance and compliance controls Proven experience with infrastructure ...

Python, PostgreSQL, DynamoDB, OpenSearch Experience with APIs, webhooks, and system integrations Familiarity with cloud platforms (AWS, Azure, or GCP) Experience working with Snowflake, Databricks or similar data warehouses Knowledge of AI/ML concepts and how they apply to business processes Customer-Facing Skills Excellent communication skills with both technical ...

integration and ingestionSkill in data manipulation and processingProficiency with GitHub Actions and Azure DevOpsExperience with data platforms and tools such as Azure Data Factory, Databricks, SQL Database, Synapse Analytics, Stream Analytics, AWS Glue, Airflow, Kinesis, Redshift, SonarQube and PyTestExperience in commodity trading and supply operations, ideally within the energy sectorStrong ...

with different technical challenges. Your experience Strong experience working with SQL and large datasets. Python programming and sound software engineering practices. Exposure to Spark, Databricks, AWS, Azure or Google Cloud Platform. Experience with data orchestration tools such as Airflow. Understanding of data modelling, data quality and feature engineering. Ability ...

with different technical challenges. Your experience Strong experience working with SQL and large datasets. Python programming and sound software engineering practices. Exposure to Spark, Databricks, AWS, Azure or Google Cloud Platform. Experience with data orchestration tools such as Airflow. Understanding of data modelling, data quality and feature engineering. Ability ...

analytics and performance activities. Work extensively with Python and SQL to process, transform and manage complex datasets. Support and develop the organisation's growing Databricks environment, improving the scalability and efficiency of its data platform. Manage and integrate different sources of performance data, including event data and tracking information. Work ...

training or certification on infrastructure engineering concepts and advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation) Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation ...

risks.. Experience with agentic AI, generative AI, model evaluation, responsible AI controls or production observability. Experience with data products, data governance, analytics platforms, GCP, Databricks or comparable cloud and data ecosystems. Understanding of SRTA, its partnership model and internal governance routes, including GTOM or AEO. Experience developing portfolio dashboards, unit ...

using Python and/or PySpark, such as batch jobs, reconciliation pipelines, or platform integrations Experience with data engineering and orchestration tooling such as Databricks and Airflow or similar platforms Exposure to cloud services such as managed streaming for Apache Kafka, compute, container orchestration, object storage, managed databases, and serverless ...

deploying generative AI solutions, including LLMs, prompt engineering, fine-tuning, RAG techniques, and AI agents. Proficiency in cloud platforms such as Azure and Databricks, and familiarity with Azure DevOps tools like Boards, Repos, and Pipelines. Good knowledge of explainable AI and best practices in MLOps and LLMOps, with the ability ...

deploying generative AI solutions, including LLMs, prompt engineering, fine-tuning, RAG techniques, and AI agents. Proficiency in cloud platforms such as Azure and Databricks, and familiarity with Azure DevOps tools like Boards, Repos, and Pipelines. Good knowledge of explainable AI and best practices in MLOps and LLMOps, with the ability ...

deploying generative AI solutions, including LLMs, prompt engineering, fine-tuning, RAG techniques, and AI agents. Proficiency in cloud platforms such as Azure and Databricks, and familiarity with Azure DevOps tools like Boards, Repos, and Pipelines. Good knowledge of explainable AI and best practices in MLOps and LLMOps, with the ability ...

operation of reporting and planning systems using the following tools and skill sets:Data Warehousing (e.g. SAP BW)/Data ModellingData integration (Fabric/Databricks)SAP BW query writingBI Report developmentData SecurityMaster Data ManagementImplementation of AI in digital solutionsWorking with Finance data and processesCustomer service skillsDevelop knowledge of Rolls-Royce ...

communication skills. Demonstrate deep D&A expertise, including data platforms, migrations, modelling, governance, and analytics, with hands-on exposure to cloud technologies such as Databricks, Snowflake, and Power BI. Apply solid understanding of data architecture, operating models, and retail data domains (product, customer, inventory, pricing, forecasting, etc.) to guide effective ...

portfolio, customer or market analytics products within financial services, risk analytics, SaaS or enterprise software organisation preferred Familiarity with Power BI, Tableau, SQL, Python, Databricks or cloud-based analytics environments, and experience with product discovery, user research, adoption planning or change management preferred Basic understanding of artificial intelligence concepts, with ...

dynamic environment Comfortable manipulating and analysing data in a scripting language Our tech stack Python as our main programming language DBT for data modelling Databricks as our datalake platform Kubernetes for data services Orchestra for task orchestration Terraform for infrastructure Lightdash for data applications Airflow and Astronomer for job scheduling ...

Proven experience designing and delivering AI, GenAI, and Data architectures within platforms such as AWS (Bedrock/SageMaker), Microsoft (Azure AI Foundry/Copilot), Databricks, Google Cloud (Vertex AI), Snowflake, or Palantir. Hands-on Modern AI & Agentic Builder Experience: Direct hands-on experience building, prototyping, or solutioning with frontier LLMs ...

collecting, parsing, cleansing and analysing large data sets and articulate data insight in a clear way Working knowledge of multiple relevant technologies such as (Databricks, Azure ML, SQL databases, Data Visualisation tools such as Tableau or PowerBI) Strong knowledge of one or more relevant languages such as Python/ ...

contractor resources to maintain operational continuity and quality output Knowledge of data processing frameworks, including ETL pipelines, data integration, and data modeling (experience with Databricks or Spark preferred) Strong analytical and problem‐solving skills with the ability to communicate clearly to both technical and non‐technical stakeholders Basic understanding ...

similar, supporting a technical sale. Real depth in data. You know at least one of these areas well: data warehouses (such as Snowflake, Databricks or BigQuery), cloud data infrastructure on AWS, or behavioural event data. You’re comfortable going deep in the one you know best. A consultative approach. ...

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 ...