676 to 700 of 1,441 Databricks Jobs

Python and SQL Experience building, training and improving machine learning or predictive models Ability to analyse complex datasets and translate findings into business insight Databricks experience would be highly advantageous Experience working with large transactional, behavioural or customer datasets Consulting, agency or client-facing analytics experience is beneficial Strong communication ...

with enterprise systems and data sources. Build RAG pipelines and enterprise search capabilities with accurate source attribution. Develop data pipelines and AI workflows using Databricks and Apache Spark. Support model development, testing, deployment and MLOps processes. Create Copilot experiences with human-in-the-loop review capabilities. Implement testing, monitoring ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/B testing ...

platform innovation-all within a high-performance, data-driven environment. Requirements Experience designing, building and maintaining ETL/ELT pipelines using Spark, Structured Streaming, Databricks, etc. Outstanding communication & collaboration skills at all levels of technical ability Successful track record of optimizing and productionizing research workflows, with particular attention to scalability ...

including LLM hosting, RAG, vector databases, prompt orchestration and guardrails. Knowledge of AI platform tooling such as Azure ML, Amazon SageMaker, MLflow, Kubeflow and Databricks . Ability to evaluate technologies and make evidence-based architectural decisions. Experience designing secure, scalable and cost-optimised AI infrastructure. Strong architecture documentation skills, including ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/B testing ...

manual work and improve the user experience for researchers and ML teams. Enable and maintain integrations between AWS services and supporting technologies such as Databricks, MLflow, CI/CD pipelines and related platforms. Partner closely with stakeholders, translating business and research requirements into effective cloud and platform solutions. Create ...

manual work and improve the user experience for researchers and ML teams. Enable and maintain integrations between AWS services and supporting technologies such as Databricks, MLflow, CI/CD pipelines and related platforms. Partner closely with stakeholders, translating business and research requirements into effective cloud and platform solutions. Create ...

structured and unstructured data alongside structured data A practical track record of using AI to change how your team builds Nice to Have Snowflake, Databricks and AWS Embeddings, vector search, feature stores or knowledge graphs Taxonomy or ontology design Social, web-scale or licensed third-party data A background ...

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 ...

enhanced data engineering. Represent Movar at industry events and contribute to thought leadership in data engineering and cloud architecture. Technical Stack Core: Databricks (expert) SQL Server Strategic: Microsoft Fabric Real-time streaming architectures Leadership: DataOps frameworks What You'll Bring: Professional experience in data engineering, with significant leadership responsibility. Proven ...

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. Overview Indicium AI are looking for an experienced AI & Data Delivery Manager ...

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 ...

events and contribute to thought leadership in analytics and data visualisation. Technical Stack Core: Power BI (expert, including governance and enterprise architecture) DAX (expert) Databricks Strategic: Microsoft Fabric AI-enhanced analytics Multi-cloud analytics strategies Leadership: Analytics governance frameworks What You'll Bring Professional experience in data analytics, with significant ...

Experience: 6–10+ Years Key Skills: MDM, Databricks, PySpark, SQL, Delta Lake, Unity Catalog, Data Quality, Data Governance Role Summary We are looking for an experienced MDM/Databricks Data Engineer to build scalable master data and integration solutions on a modern Databricks Lakehouse. The role will focus on common … Design and implement MDM solutions , including common IDs, Golden Records, entity matching, deduplication, and survivorship rules. Integrate data from multiple source systems into the Databricks Lakehouse . Develop and optimize data pipelines using Databricks, PySpark, SQL, and Delta Lake . Build and enhance Bronze, Silver, and Gold data layers. Implement ...

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 ...

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. Overview Indicium AI are seeking an exceptional Principal Software Engineer to lead ...

executive audiences Preferred qualifications, capabilities, and skills Experience with agent frameworks and protocols (MCP, A2A, Google ADK, LangGraph) and agent evaluation practices Experience with Databricks, MLflow, and model serving on Kubernetes in AWS Experience delivering AI systems through model risk management or equivalent regulatory review Experience running a team within ...

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 ...