701 to 725 of 1,456 Databricks Jobs

constructive mindset. Nice to have Startup or scale-up experience Energy, utilities, trading, sustainability, or fintech experience Data visualisation experience Experience working with Databricks or similar data platforms Experience using AI-assisted development tools Previous involvement in shaping engineering teams, standards, or architecture Why join A salary ...

moves between them, and contributing to target data models. Proficiency in Python and SQL, and experience working on a cloud data platform (e.g. Azure, Databricks, Snowflake). Built dashboards and automated reporting for non-technical stakeholders. Worked closely with engineers and architects to define paths to Production, including cost ...

launch of three to five new markets and lead the migration of two international businesses onto our shared data infrastructure, including migrations from Databricks and Redshift to GCP. This is a senior leadership role requiring strong organisational judgement, technical credibility, and the ability to operate across strategy, delivery, people leadership ...

Solid software engineering skills in Python, with an understanding of how to write maintainable, testable code Familiarity with ML tooling and platforms such as Databricks, MLflow, Airflow, or equivalent Familiarity with CI/CD pipelines and how they apply to ML systems An understanding of ML lifecycle challenges - versioning, testing ...

with strong knowledge of reusable data-product design, analytical patterns and the implementation of consistent business definitions, calculations and performance measures. Practical experience in Databricks and Power BI, including data transformation, orchestration, semantic model design, performance optimisation and deployment. Demonstrable experience driving adoption of analytical products, engaging users throughout delivery ...

Cloud (IaaS, PaaS, SaaS) in relation to data intensive solutions. Cloud Services Experience Design, configure and optimize data related service in Azure such as Databricks, Data Factory, Synapse, Data Lake, Database & Batch services. Designing solutions and implementation/migration of data intensive applications to Azure Cloud. Ability to design/ ...

Data, or related fields. Technical Knowledge: Strong understanding of modern AI/ML technologies and cloud-based solutions. Tools & Platforms: Familiarity with Snowflake, Databricks, Azure AI Foundry , AWS SageMaker, and other leading platforms. Data Science Expertise: Knowledge of data science fundamentals, solution lifecycles, and MLOps methodology. Generative AI Knowledge: Experience ...

chemistry, pharmacy, bioengineering or related sciences Deep IT technical expertise in designing data foundation environments with the latest technologies. Mandatory hands‐on experience with databricks/snowflake configuration/pipeline implementation and data catalogues. Experience in information architecture design for global digitalization programs in a research and early development context. ...

findings effectively. Some other highly valued skills may include: Machine learning knowledge and practical application experience. Experience using cloud-based data platforms such as Databricks or Snowflake. Knowledge of BI and data visualisation tools. You may be assessed on the key critical skills relevant for success in role, such ...

Experience with distributed computing frameworks (e.g., Spark or similar) and scalable data processing environments. Exposure to cloud-based platforms (e.g., AWS, Azure, GCP or Databricks) and modern ML/MLOps practices. Proven track record managing and growing high-performing data science teams, including technical mentoring and delivery accountability. Strong stakeholder ...

solutions and operations, enabling ethical, scalable, and domain-driven AI adoption. We partner with industry leaders including Oracle, Salesforce, Microsoft, AWS, Snowflake, and Databricks, delivering outcomes across sectors such as Healthcare, Financial Services, Retail, Manufacturing, Higher Education, and the Public Sector.Guided by our core values of Trust, Value, and Velocity ...

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 Hill ...

have: Understanding of RDBMS and Data Repositories (SQL Server, MySQL, Azure, noSQL). Experience with Azure cloud infrastructure and services/Big Data (Databricks, Snowflake) Knowledge of distributed systems and service-oriented architecture. Proficiency using AI tooling Relevant business experience in an international (Re-)Insurance company or in a broking ...

users, covering tool use, retrieval and prompt or context design. Experience with API integrations between AI platforms and enterprise systems (e.g. Salesforce, HubSpot, NetSuite, Databricks) and the data governance that goes with them. Python backend (FastAPI or similar), working React/TypeScript, SQL, one cloud (Azure preferred), infrastructure as code ...

users, covering tool use, retrieval and prompt or context design. Experience with API integrations between AI platforms and enterprise systems (e.g. Salesforce, HubSpot, NetSuite, Databricks) and the data governance that goes with them. Python backend (FastAPI or similar), working React/TypeScript, SQL, one cloud (Azure preferred), infrastructure as code ...

/20022 messaging. Bloomberg or other market-data and client-connectivity platforms. APIs, event-driven integration and cloud-based data platforms such as Databricks or Snowflake. Delivery of workflow automation, intelligent operations or AI-assisted processing. CFA, FRM, MBA Finance or another relevant professional qualification. Typical Deliverables Business requirements document ...

Computer Science, a related field, or equivalent industry experienceNice to Have:- Experience founding or scaling an FDE/solutions engineering function.- Technical founder background. Databricks, AWS Bedrock, or Temporal experience.- Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers). ...

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 ...

Optimization and Scenarios simulation Solid experience with Probabilistic Programming and Bayesian Methods Experience using machine learning frameworks such as scikit-learn, Pymc, TensorFlow, PyTorch, Databricks ML, Keras etc..., Experience with ML at scale Experience coordinating projects across diverse teams. Proven attention to detail, critical thinking, and the ability to work ...

content in commercial terms for non-technical stakeholders, such as customers, sales and product teams Desirable B2B product experience Experience with Spark SQL, PySpark, databricks Experience with CausalAI modelling frameworks (e.g. dowhy, econml) Diversity & Inclusion Intent HQ is an equal opportunities employer with an ethos of commitment to promoting ...

Direct exposure to Electronic Lab Notebooks (ELN), LIMS, CMC, or laboratory data management platforms. Modern Cloud Data & AI Stack: Familiarity with AWS Bedrock, OpenSearch, Databricks, or Model Context Protocol (MCP) tool integrations. Quantitative AI Evaluation: Experience operationalizing automated evaluation harnesses and prompt-testing pipelines (e.g., Ragas, TruLens, or custom benchmark ...

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 ...