626 to 650 of 762 Databricks Jobs

Enterprise Data organisation, this role leads the engineering of cloud-native data services for the firm’s strategic platform, driving the migration to Databricks and delivering scalable Spark/Scala solutions on AWS.The overall objective of this role is to lead applications systems analysis and programming activities. Proven leadership … processing, advances matching engines, AI/GenAI services and large-scale data platforms. This role will drive transformation of enterprise data capabilities using Databricks, scala/spark and cloud native architectures, ensuring platform is stable, scalable, resilient, secure and AI enabled.* As platform landscape evolved towards cloud-native, AI enabled ...

Senior Quantexa Data Engineer - Manchester/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

Senior Quantexa Data Engineer - Birmingham/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

Senior Quantexa Data Engineer - Leeds/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

Senior Quantexa Data Engineer - London/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

context. Principal Accountabilities Data model development for change control branch Experience in software development, data engineering, data visualisation Development of PowerBI dashboards drawing on databricks conformed data model Align business requirements, logic implemented in data model and reporting outputs Interface with wider IT, IIM, IDA stakeholders Support upskilling of team … adoption of more data-centric ways of working Databricks development in SQL and Python Knowledge, Skills, Qualifications & Experience Knowledge & Skills Degree in a relevant science or engineering subject or strong technical background preferred Experience within the Nuclear Industry useful but not mandatory Experience in software development, data engineering, data visualisation ...

greater reliability before evolving towards a more federated, domain-led operating model. You’ll also own the roadmap for the wider data ecosystem, with Databricks at the heart of the target architecture, alongside Power BI and Looker, while driving the rationalisation of legacy platforms and reporting. Key areas of focusL … large, complex organisation. You’ll ideally bring: Experience owning enterprise data platforms and engineering at scale Strong knowledge of modern cloud data environment. Databricks experience would be particularly relevant A track record of improving data governance, quality, lineage and stewardship Experience building data product and self-service analytics capabilities Leadership ...

diverse team! Aufgaben Collaborate with data scientists, analysts, and product owners to build reliable, maintainable pipelines and products Design, build, and operate Databricks pipelines using Python, Lakeflow Declarative Pipelines, and Jobs/Workflows Use Azure Data Factory for ingestion/orchestration; integrate and optimize SQL/NoSQL databases Ensure pipeline … documentation for group-wide use Profil Degree in Computer Science, Software Engineering, Data Engineering/Data Science, or equivalent experience Hands-on with Databricks (Python, Spark SQL, Lakehouse), Declarative Pipelines, and Jobs/Workflows Experience with Azure Data Factory, data modeling, performance tuning, and production data systems DataOps mindset: versioning ...

Contribute to solution design, including API contracts, service boundaries, integration patterns, and deployment considerations - Collaborate with data engineers to expose data products from the Databricks + AWS platform as secure external services - Work with product owner, architect, and engineers to translate business needs into scalable technical solutions - Support integrations with … Python, TypeScript/Node.js - Strong hands-on experience with AWS and cloud-native service development - Experience with Infrastructure as Code is preferred - Experience with Databricks, data platforms, or data product environments is a plus - Experience with Azure, Alicloud and cross-cloud integration is a plus - Experience in automotive, mobility ...

Product Owners, architects, engineers and business SMEs; comfortable shaping acceptance criteria, priorities, value measures and handover into production.* Practical exposure to Azure data services, Databricks, SQL, Python/Spark, event-based integration and DevOps practices; hands-on engineering experience is beneficial.* Degree in a relevant discipline or equivalent experience; Azure … Data Engineer, Databricks or data governance certifications are a plus.**What we offer**You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You’ll have the opportunity to develop the skills ...

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. ...

Consulting Limited is seeking a Technology Architect with deep expertise in Databricks to lead data engineering and cloud transformation initiatives. The ideal candidate will have over 12 years of experience and will be responsible for defining scalable architectural solutions and guiding engineering teams. The role focuses on designing data platforms … using Databricks Lakehouse architecture and optimizing ETL pipelines. Ideal candidates are expected to evaluate technologies and implement best practices while ensuring data governance. This is a hybrid role with 3 days in the office per week. #J-18808-Ljbffr ...

Developer/Senior Developer - Azure Data Platform/DataBricks Location: Leicester (Hybrid: 3 days per week in-office) Contract Type: 12-Month Fixed Term Contract Job Schedule: Full-time The Opportunity We are seeking a skilled Developer/Senior Developer to join a rapidly expanding Business Intelligence Systems team ...

JPMorgan Chase & Co. is seeking a Software Engineer II in the Payments Technology team to design, build, and operate scalable data pipelines on the Databricks Lakehouse. You will collaborate with data analysts, data scientists, and application teams to deliver trusted datasets and well-governed data products. Responsibilities include designing batch …/streaming pipelines with Databricks Spark, Delta Lake, and orchestrators; developing Spark jobs and SQL transformations; building data models and #J-18808-Ljbffr ...

Join Kainos and Shape the Future At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge ...

As an ML (Machine Learning) Engineer at Checkout.com in the Disputes ML team, you will contribute to the development of our brand‐new ML‐driven dispute optimisation suite. This is a unique opportunity to get ...

hackajob is partnering directly with Kainos to hire for this role. Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. ...

Associates is seeking a Senior SC Cleared Data Engineer with extensive Azure Databricks experience to join a UK Central Government data team responsible for designing and developing high-volume datasets and robust data pipelines. You will work with Spark-based technologies, build, automate and operate data pipelines, and apply ...

Citi Belfast is seeking an experienced Data Engineering Lead to drive cloud-native data services and Databricks adoption. You will lead Spark/Scala implementations, AI-enabled analytics, and scalable data platforms on AWS, aligning with enterprise standards and governance. You will mentor engineers, coordinate with senior leaders, and guide ...

DraftKings is looking for a Senior Data Platform Engineer to enhance our data capabilities. In this role, you will own and operate the Databricks infrastructure, ensuring its performance and reliability. You’ll build cloud infrastructure with AWS and Terraform while leading engineering projects from design to implementation. The ideal candidate ...

Clearance. (SC clearance can take 3 months to get) You will guide high-performing teams to design and implement scalable data solutions leveraging Databricks and cloud-native tools. This role blends technical leadership with strategic oversight, shaping the future of data platforms for some of our most high-impact clients … guiding our teams in modern approaches and best practices. Key Responsibilities Lead and mentor cross-functional data engineering teams to deliver end-to-end Databricks solutions. Own project delivery, stakeholder communication, and issue resolution across cloud data engagements. Enforce best practices around data governance, observability, and CI/CD pipelines. ...

GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications … Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including ...

Databricks is seeking a Forward Deployed Engineer to work with customers to design, build and productionize data and AI solutions on the Databricks platform. You will own the architecture and deliver end-to-end systems across data engineering, ML/AI, and application development. This hands-on, customer-facing role ...

Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production‐grade ML and AI applications … Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production‐level ML and AI workloads, including ...

work with modern AI technologies and help influence how they’re adopted across the wider business. You'll be working with technologies including Azure Databricks, Azure Machine Learning, Azure AI Foundry, LangChain, LangGraph and Python, building enterprise AI applications using RAG, vector databases, prompt orchestration and tool‐calling patterns. … need experience with: Deploying LLMs and machine learning models into Azure enterprise environments. Azure Databricks, Azure Machine Learning and ideally Azure AI Foundry. Building production AI applications using LangChain, LangGraph and Python. MLOps/LLMOps including deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool‐calling ...