601 to 625 of 1,456 Databricks Jobs

decisions and mentor other engineers. Experience building agents for high‐stakes or regulated decision‐making , working with data scientists on non-deterministic systems, using Databricks , or working within insurance would be useful, but these are nice‐to-haves rather than requirements. Core Values Love what you do: We show ...

capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side‐by‐side with top partners, including Anthropic, Databricks, AWS, OpenAI, and Microsoft, to deliver modern AI with speed and measurable impact. The Opportunity Ready to tackle the most complex challenges in energy trading ...

process, for example by contributing to proposals, estimates or client presentations Nice to have Data platform experience, such as lakehouse design and migration on Databricks, Fabric or Snowflake, or an open table format stack like Delta or Iceberg Production applied AI experience, such as RAG pipelines, evaluation ...

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

colleagues within machine learning engineering or software development teams Experience with cloud platforms such as AWS, Azure, or GCP, or ML platforms such as Databricks Exposure to evaluating LLM-based applications, including AI-as-a-judge approaches Experience with Generative AI techniques such as retrieval-augmented generation, fine-tuning ...

while contributing effectively within a cross-functional team. Nice to have Prior experience in a business-critical/high-uptime production environment Experience with Databricks Understanding of asynchronous programming, containerised deployments (Docker), and modern service architectures Hands-on experience with Infrastructure as Code, particularly Terraform Experience designing and building distributed ...

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

early and obtain approval before implementation. Capture architecture decisions, exceptions and deviations in logs, plans and technical documentation. Technical Requirements: Strong Azure platform experience: Databricks, Azure Functions, IAM/RBAC, Storage Accounts, Networking, Virtual Machines, Key Vault, Monitoring and Alerting. Infrastructure as Code using Terraform. Azure DevOps Pipelines ...

Sales, to limited interactions with external customers. Write production and offline analytical code in Python. Work with distributed data pipelines in Spark/Databricks/GCP. Requirements A degree in computer science or a comparable analytical field. 3+ years of post-undergrad work experience required. Strong verbal and written communication ...

early and obtain approval before implementation. Capture architecture decisions, exceptions and deviations in logs, plans and technical documentation. Technical Requirements: Strong Azure platform experience: Databricks, Azure Functions, IAM/RBAC, Storage Accounts, Networking, Virtual Machines, Key Vault, Monitoring and Alerting. Infrastructure as Code using Terraform. Azure DevOps Pipelines ...

social impact datasets is desirable Knowledge of sustainability reporting methodologies and frameworks is desirable Strong stakeholder management and business partnering skills Familiarity with Databricks, SQL, Power Automate or similar data tools is desirable Strong analytical and problem-solving skills, with a data-driven approach to developing business solutions Ability ...

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 ...

operations. You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins ...

systemsAdvanced programming skills in PythonExperience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph , Haystack)Experience working with Databricks or similar distributed data/ML platformsStrong understanding of experimentation design, evaluation frameworks, and statistical analysisProficiency with data visualization and analytical tooling (e.g., Tableau, Power ...

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

responsible approaches to using enterprise data for automation and insight. Experience with complementary data and MDM technologies such as Informatica, Collibra, Syniti, Microsoft Azure, Databricks, Snowflake or equivalent platforms. A strong external network, relevant certifications and a visible contribution to the SAP data community through industry perspectives, client innovation ...

Strong programming skills in Python Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data and machine learning platforms Understanding of experimentation methodologies, evaluation frameworks, and statistical analysis Proficiency with data visualization and analytical tooling (e.g. ...

large data volumes and high-traffic applications. Strong integration knowledge: Salesforce APIs, event-driven integration, MuleSoft or equivalent, and enterprise data platforms (e.g. Snowflake, Databricks, Azure, MS Fabric). A track record of defining technical strategy and roadmaps, and of org and platform strategy (single vs multi-org, including ...

orchestration. Experience with content, publishing, or knowledge‐management workflows (CMS integrations, editorial tooling, document processing). Exposure to modern data platforms (e.g. Snowflake, ClickHouse, Databricks, BigQuery) or working with data engineering teams. A background or coursework in machine learning, NLP, or data science. Open‐source contributions, side projects, or writing ...

driving products. Collaborate with internal teams to understand requirements and build solutions with global geospatial data. Design and build data pipelines with PySpark and Databricks to enrich fleet data with mapping and road-network information at global scale. Build applications and datasets that support route planning and the preparation ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Deep understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques. Proven ability to handle large ...

technological footprint in the market This role will require a solid understanding of Azure-based architectures, data and AI platforms (e.g., Databricks, M365 integrations), and modern DevOps practices to ensure effective collaboration across globally distributed development teams. Your key responsibilities Within large projects, define and maintain realistic delivery plans, ensuring ...

large data volumes and high-traffic applications. Strong integration knowledge: Salesforce APIs, event-driven integration, MuleSoft or equivalent, and enterprise data platforms (e.g. Snowflake, Databricks, Azure, MS Fabric). A track record of defining technical strategy and roadmaps, and of org and platform strategy (single vs multi-org, including ...

platforms, AI governance and responsible AI.Familiarity with major cloud and AI platforms such as Microsoft Azure, AWS, Google Cloud, OpenAI, Anthropic, Google/Gemini, Databricks, Snowflake and other relevant enterprise AI technologies.Understanding of the UK Banking regulatory environment and the implications of AI for risk, governance, resilience and compliance.Experience creating ...

large data volumes and high-traffic applications.Strong integration knowledge: Salesforce APIs, event-driven integration, MuleSoft or equivalent, and enterprise data platforms (e.g. Snowflake, Databricks, Azure, MS Fabric).A track record of defining technical strategy and roadmaps, and of org and platform strategy (single vs multi-org, including the business, cultural ...