476 to 500 of 1,439 Databricks Jobs

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 ...

domains as delivery priorities evolve. Desirable Experience Previous experience working within a major banking or financial services organisation. Experience with modern data platforms, including Databricks, data lakes or data warehouses. Experience working with Scrum teams and Agile delivery frameworks. Experience managing multiple data-related business initiatives. This ...

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 ...

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 ...

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 ...

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 ...

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/ ...

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 ...

management, and data lineage tools. Familiarity with data privacy regulations (e.g., GDPR) and compliance requirements. Proficiency in data management platforms (e.g., Azure Data Lake, Databricks) and BI tools (e.g., PowerBI). Excellent analytical, problem‐solving, and organizational skills. Experience working with both onshore and offshore teams. Strong communication and stakeholder ...

skills Formal training or certification on software engineering concepts and advanced applied experience with SQL, Data Transformation, ETL, Python. Working knowledge of AWS, Databricks and big data technologies and concepts. Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code ...

Data Architecture. Expertise across foundational data domains including data modelling, data engineering, data governance, and data consumption. Working knowledge with the likes of Databricks, Snowflake, Anthropic etc Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in architecting complex data solutions. Experience leading ...

experience with libraries such as XGBoost, PyTorch, TensorFlow, or Hugging Face Experience working with cloud‐based data and AI platforms, particularly Azure and Databricks Strong stakeholder engagement and storytelling capabilities; able to translate technical complexity into executive‐level narratives Experience working within agile, cross‐functional product and delivery teams Strong ...

pipelines you have built and operated.Deep hands-on knowledge of at least one hyperscaler: AWS, Microsoft Azure or Google Cloud, plus experience administering Databricks or Snowflake.Good understanding of open-source technologies.Strong security fundamentals across identity, secrets and network isolation, with a practical understanding of cloud cost management.Strong Python scripting skills ...

customer-facing teams and convert technical capabilities into clear commercial value Hands-on familiarity with application programming interfaces, cloud data platforms such as Databricks and Snowflake, and generative or agentic artificial intelligence architectures Experience building partner ecosystems and co-sell motions with consultancies, systems integrators, and technology or cloud partners ...