1,251 to 1,275 of 1,445 Databricks Jobs

Contract – Databricks Technical Lead Central London | Hybrid 1–2 days onsite £600 per day 6-month initial contract | Likely extension Global Reinsurance Organisation La Fosse are partnering with a client looking for a hands-on Databricks Technical Lead(interim) to lead delivery of a large-scale enterprise Azure data platform … while leading and mentoring a team of Data Engineers. Key experience: Proven experience leading engineering teams and owning technical delivery Strong technical experience acrossAzure Databricks, PySpark, Python & Delta Lake Strong knowledge of Unity Catalog, RBAC & Medallion Architecture Strong experience withAzure Data Factory and wider Azure ecosystem Insurance, reinsurance or financial ...

Remote 40 hr week. Inside IR35 via umbrella. Start – asap. Must be eligible to work in the UK. Must Have Skills Strong hands-on Databricks, PySpark, Python and SQL Production pipeline engineering and troubleshooting Workflow orchestration and dependency management Idempotency, retry/restart and failure-recovery patterns CI/… automated deployment Monitoring, logging and operational alerting Data-quality and reconciliation controls API/file/SFTP integration patterns Delta Lake/Delta MERGE Databricks Asset Bundles Azure DevOps MLOps/model deployment experience SFMC or Comarch integration Customer decisioning/personalisation platforms Nice To Have Delta Lake/Delta ...

Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase , our fully-managed Postgres offering for intelligent applications . This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption … strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires ...

Capco is seeking a Senior Azure Data Engineer (Databricks) in the UK within a hybrid model across Scotland. You will design, build, and deploy scalable data pipelines on the Databricks platform on Azure, partnering with clients to translate data needs into practical solutions. This role sits in Capco's Scotland ...

discovery process, shape AI-driven solutions, build demonstrations and proofs of value, and present compelling business cases to clients. As a trusted expert in Databricks, Generative AI, Agentic AI, and modern data platforms, you will guide organisations from initial vision through to signed Statements of Work. You will work closely … Agentic AI, automation, data platforms, and self-serve analytics to drive client outcomes. Key Responsibilities: Design and document end-to-end AI solutions using Databricks, Azure AI services, LLMs and related services. Translate business and technical requirements into clear architecture designs that delivery teams can build. Apply our existing standards ...

Package deal experience into playbooks the wider architect community can reuse Co-own architecture patterns with SI and hyperscaler partners (AWS, GCP, Azure, Snowflake, Databricks) Qualifications 15+ years in enterprise architecture, technical consulting, or technical pre-sales in Data/AI Proven Enterprise-architecture Credential (Zachman, TOGAF) — Salesforce … plus. Must clearly demonstrate Salesforce Platform depth Architect-level, hands-on experience on a major data platform (e.g. GCP, Snowflake, Databricks, AWS, or Azure) Track record as an Enterprise Architect, or trusted advisor to Enterprise Architects, in large complex stacks Proven builder of reference architectures/technical GTM narratives ...

broader Insurance environments is highly desirable. The role will also involve working closely with cloud-based data platforms, so experience with AWS and Databricks is essential. This is a predominantly remote opportunity, with occasional travel required for workshops and stakeholder meetings. Key Responsibilities Analyse large and complex datasets to identify … ongoing monitoring and reporting. Contribute to best practice around data governance, data standards and quality management. Analyse and validate data held within AWS and Databricks environments, supporting cloud-based data quality and transformation initiatives. Essential Experience Proven experience working as a Data Quality Analyst, Data Analyst or similar role. Strong ...

Data & Analytics strategy Manage and develop a small data team Stay hands-on technically when required Lead the architecture and optimisation of Microsoft Fabric, Databricks & Power BI Oversee data engineering, pipelines, lakes, warehouses and integrations Drive advanced analytics, predictive modelling and ML Partner with senior stakeholders to turn data into … with a strong technical background and the ability to operate strategically. You'll ideally have: Experience leading a Data & Analytics function Strong Microsoft Fabric, Databricks and Power BI experience A background across data engineering, architecture and analytics Experience managing a small team The ability and willingness to remain hands ...

technical pointof contact during the Monthly, Quarterly and Year-end Close process. Designand build scalable ETL workflows using Azure Data Factory and Databricks,replacing legacy SSIS pipelines. Identifying opportunities toharden and automate manual steps within the Finance Close workflow ConductT-SQL performance tuning across on-prem and cloud environments.ConductT … documentation. Key Requirements Experience of supporting thePhinsys System is highly desirable. Hands-on experience of Cloudbased platforms and technologies such as Synapse Analytics, Fabric,Databricks, Snowflake. Azure DBA experience isadvantageous. Solid knowledge of ETLtechnologies, specifically SSIS and Azure Data Factory and pipelines. Solid knowledge of core SQLServer elements including ...

IR35 Start date asap 40 hours per week Must be eligible to work in the UK Must have: - Advanced SQL, Python/Spark and Databricks data engineering. Workflow orchestration, dependency management, idempotency and scheduled/triggered jobs. CI/CD, Git/Azure DevOps, PR review, unit/integration testing … production validation. Own production cutover, rerun/recovery, observability, alerting and incident technical response. Key Skills: Must Have: Advanced SQL, Python/Spark and Databricks data engineering. Workflow orchestration, dependency management, idempotency and scheduled/triggered jobs. CI/CD, Git/Azure DevOps, PR review, unit/integration testing ...

take ownership of a customer-focused Golden Layer data domain within a remote working environment connected to Canary Wharf. The role is centred on Databricks, SQL, Python/Spark, dimensional modelling, and high-volume transaction processing, with responsibility for data quality, lineage, workflow scheduling, and runtime optimisation. This position will … observability, and production environments Experience working with high-volume transaction processing and performance optimisation Required Skills: Expert SQL Strong Python and Spark capability Strong Databricks expertise Dimensional modelling and data product modelling SCD1 and SCD2 design and implementation Workflow scheduling, trigger dependency management, and freshness monitoring Data lineage, data quality ...

full development lifecycle. You’ll work across a variety of projects as a consultant using big data technologies such as SQL, AWS and Databricks to add business value and collaborate with global clients. The role offers extensive training, structured career progression, and opportunities to work with leading brands … handling big data projects using SQL and Python. ETL/ELT, Data warehousing Concepts You can demonstrate tangible experience using AWS and/or Databricks Excellent communications skills: an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences A passion ...

Develop secure, high-quality production code in Python, and review and debug code written by others Build data pipelines and feature engineering jobs on Databricks to prepare payments data for model training and agent retrieval Contribute to the MLOps path for optimization and prediction models, including training jobs, automated tests … Qualifications, Capabilities, and Skills: Experience with agent frameworks (e.g., Google ADK, LangGraph) and agent protocols such as MCP, A2A, or AG-UI Experience with Databricks, MLflow, and Delta Lake or Apache Iceberg Exposure to model serving on Kubernetes and to model monitoring (drift, latency, accuracy) Familiarity with CRM platforms such ...

pricing and commercial performance data. Enable measurement of realised price uplift, pricing adoption, discount effectiveness, and commercial outcomes. Design scalable pricing analytics within the Databricks and BI environment. Develop governance and reporting frameworks supporting and executive decision-making. What we’re looking for: Must have skills and experience : 5+ years … Commercial Analytics Data Architecture Data Analysis Business Intelligence Experience designing enterprise-scale data models. Advanced expertise with SQL or similar technologies. Strong experience with: Databricks Salesforce CPQ platforms B2B SaaS or adjacent-industry pricing experience. Experience building leadership dashboards and KPI frameworks. Ability to translate complex data into business recommendations. ...

through to data exploration, feature engineering, model development, and deployment. Working with large and complex datasets, you'll use Python, PySpark, SQL, and Azure Databricks to develop robust predictive models and analytical solutions. Just as importantly, you'll be able to explain your findings in a clear and engaging … delivering tangible business value Advanced Python skills, with experience using machine learning and statistical modelling techniques in commercial environments Strong experience with Azure Databricks or similar technology, SQL, and large-scale data analysis, with the ability to work confidently across modern cloud-based data platforms Experience developing ...

grow customer accounts, specifically focusing on net dollar retention.• Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery)• ETL experience• Experience implementing production business intelligence solutions• Startup experienceAbout us:Sigma is the AI Apps and agentic analytics platform built on the cloud … 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 ...

data quality to own the design and hold the build to account. You know how EPM sits alongside platforms like Snowflake, Palantir Foundry or Databricks as a governed data and AI foundation for finance. AI-augmented, intelligent finance. You own the design of the AI and machine-learning use cases … experience with one or more leading EPM platforms (Oracle EPM, OneStream or Anaplan); experience integrating EPM with modern data platforms — Snowflake, Palantir Foundry or Databricks — as a governed data and AI foundation for finance; a track record of data, analytics or AI-enabled finance solutions, including predictive forecasting and generative ...

grow customer accounts, specifically focusing on net dollar retention. Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery) ETL experience Experience implementing production business intelligence solutions Startup experience Additional Job details Compensation may vary outside of this range depending on a number … 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 ...

internal knowledge. Build agentic workflows, research assistants, analytical tools, dashboards and workflow automations. Integrate applications with WisdomTree's data and technology platforms, including Databricks, databases, APIs, identity systems and cloud infrastructure. Debug unfamiliar systems pragmatically. You should be comfortable tracing a problem across application code, containers, APIs, authentication, networking … are. Desired Skills and Experience A bachelor's or master's degree in Computer Science, Mathematics, Engineering, Physics, Statistics, Finance or another quantitative discipline. Databricks, Spark or modern cloud data platforms. SQL and large financial or analytical datasets. Docker Compose, development containers or improving complex local development environments. Azure ...

solutions run across modern cloud and data ecosystems. Advise on AI patterns across Azure OpenAI, Microsoft Fabric, AWS Bedrock, GCP Vertex AI, Snowflake Cortex, Databricks, Anthropic Claude, OpenAI and other relevant enterprise platforms. Understand the foundations required for safe and scalable AI delivery, including identity, permissions, environments, data lineage, observability … automation, prompt engineering, evaluation and AI solution design. Familiarity with platforms such as Azure OpenAI, Microsoft Fabric, AWS Bedrock, GCP Vertex AI, Snowflake Cortex, Databricks, Anthropic Claude, OpenAI and related enterprise tooling. Understanding of the data foundations required for AI, including structured data, unstructured data, semantic layers, vector search, permissions ...

scientific data, and that Applied AI and data engineering teams build against internally. Own the end-to-end model and prompt lifecycle across Databricks MLflow and AWS Bedrock, including registration, versioning, asset bundles, staged promotion, rollback, and multi-model serving. Design the inference substrate for both real-time and batch … judgment to critically evaluate AI-generated code for correctness, security, and architectural fit. Production-level experience with a model registry and serving stack, ideally Databricks MLflow, including model registration, versioning, asset bundles, and serving workflows. Experience treating AI evaluation as a release gate rather than post-hoc reporting, including eval ...

FTC Permanent DevOps Engineer Azure | CI/CD | Infrastructure as Code | MLOps Location: Worthing, near Brighton (1-2 days per week on site) Salary: £70,000 PRO-RATA 3 months Help build and automate a ...

Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Bristol ...

Our client is a UK digital technology and software consultancy. Join our client and Shape the Future We're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we ...

About the Job you are considering:We are seeking a highly skilled AI Cloud DevOps & Platform Engineer who is responsible for the deployment, operation and continuous optimisation of AI, Machine Learning and Generative AI solutions ...