676 to 700 of 1,509 Databricks Jobs

Proven Product Manager or Product Owner experience within a SaaS, technology, or digital environment. Experience working with data platforms, data warehouses, data lakes, Snowflake, Databricks, or similar technologies. Strong stakeholder management skills, with the ability to influence and build relationships across all levels of an organisation. Experience gathering requirements ...

services into production. Strong Python and Java, both of which are in active use across the team's production services. Experience with Snowflake, Spark, Databricks or similar technologies, CI/CD pipelines, and modern DevOps tooling. Solid understanding of SecOps practices and security-conscious system design. Demonstrable track record ...

Science, Economics, Engineering, or a related field. Experience with marketing technology tools, including Adobe Analytics and Adobe Target. Core technical skills, including experience with Databricks (preferred). Ability to handle multiple responsibilities/projects on strict deadlines with minimal supervision. Outstanding analytical thinking and problem-solving abilities. Ability to translate ...

practicalities of quality, flow, and organisation of information. Bring experience in coding in Python and SQL Have solid experience of Snowflake and Azure DataBricks Have a good understanding of AI usage of data Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies ...

discipline such as Mathematics, Statistics, Economics, Engineering, Physics or Data Science. Strong analytical and problem-solving skills. Advanced Excel capability. Experience using SQL, Python, Databricks or similar data tools. The ability to manipulate and interpret large datasets. Strong communication skills with the confidence to engage with stakeholders. A desire ...

experience [Preferred] Specific experience with LLMs and agentic systems [Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow [Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs [Preferred] Experience building AI products in highly accuracy-sensitive domains such ...

procedures, and attacker infrastructure, including account takeover, card testing, and credential stuffing. Hands-on experience with large-scale data-processing platforms, such as Databricks, Trino, or PySpark, to monitor and measure control performance across distributed systems. Experience incubating software features, establishing clear operational handoff criteria, and transitioning ownership to partner ...

Strong architectural judgement, with the ability to balance business value, technical complexity, risk, cost and compliance considerations Practical MDM and metadata management experience, specifically Databricks/Lakehouse platform Experience providing technical leadership and influencing decisions across large-scale programmes, transformation initiatives and diverse stakeholder groups A collaborative approach, with ...

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 ...

data post-import Experience in relational cloud-based database technologies like Snowflake, BigQuery, Redshift Understanding of cloud computing security concepts Familiarity with DBT and Databricks Experience working in an agile environment Experience working with AI tools (Claude Code, Cortex, etc.) to accelerate migration analysis Here’s a taste ...

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 ...

academic qualification Proven and successful track record and experience in a Consumer/loyalty analytics role Data analytics proficiency in modern tools (SQL/Databricks) and frameworks to drive data-driven decisions Eye for detail and storytelling, ability to look at data/trends and translate into engaging and compelling ...

with common standards such as metrics and use of test tools Here’s a snapshot of the technologies that we use: Scala Apache Spark Databricks Apache Parquet Azure Cloud Platform Azure DevOps (Test plans, Backlogs, Pipelines) GIT We’d love to hear from you if you have: Good experience ...

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 effectively with senior stakeholders across Engineering, Product, Legal, Security and Data Governance. Familiarity with privacy and consent technologies, experimentation, personalisation, advertising measurement, Databricks, OpenTelemetry or SQL is valuable but not essential — as is practical experience using AI tools to make engineering work smarter. What it's like here ...

secrets, IAM, least privilege) Ability to lead across teams and communicate clearly with engineers and business stakeholders Preferred Qualifications, Capabilities, And Skills Experience with Databricks/Spark and ML/forecasting execution at scale, including optimizing cold-start/warm-compute Familiarity with TypeScript/React micro-frontends (Module Federation ...

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 ...

engineering, model integration, structured outputs, RAG, or AI workflows. Experience with AWS, Docker, Kubernetes, and CI/CD technologies. Experience with Elasticsearch/OpenSearch, Databricks, Spark, Athena, or other large-scale data platforms. Experience in Broadband, Video, Set-Top Box, embedded devices, networking, RDK, Wi-Fi, or DOCSIS environments. Experience ...

/VC-backed and multi-entity, multi-currency environment experience. Salesforce, Power BI or comparable BI/data-visualisation tools. Data querying (SQL/Databricks) and comfort with a modern data stack. Experience with AI tools such as Claude to automate reporting and analysis. We are building toward a modern ...

transition into the world of Architecture. Knowledge across key principles including data modelling, pipelining, quality and management. Working knowledge with the likes of Databricks, Snowflake, Fabric etc Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in meeting deadlines consistently. A strategic thinker ...

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 ...

TypeScript) and CloudFormation aws-lambda-powertools for observability CI/CD via AWS CodePipeline Grafana dashboards and CloudWatch alarms Product and analysis Databricks SQL, dashboards and notebooks for reporting Jupyter, numpy, pandas, plotly for investigation Cursor, Copilot, and a healthy amount of custom scripting How we work Small, highly collaborative ...

connecting microservices and AI agents. Background in secure containers, sandboxing, or confidential computing for regulated workloads. Experience with data‐intensive systems such as Spark, Databricks, or Data Mesh. Programming experience in Go, Python, or TypeScript. Contributions to open‐source or CNCF community projects. Job Benefits How we work: Hybrid working ...

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 ...

Deep public sector experience, ideally in defence, intelligence, or national security. Solution architecture depth across cloud (AWS or Azure), data engineering (Python, SQL, Spark, Databricks), complex system integrations (REST APIs, SSO/SAML), and containerized deployments (Kubernetes, Docker). A track record partnering with commercial teams on pre-sales, capture ...