226 to 250 of 568 Databricks Jobs in England

automation use cases across the following technical environment: Microsoft Heavy Environment (C#/.NET and Python) Azure-centric: Azure Data Platform, Azure Databricks, Azure data services. Comfortable across Data engineering (pipelines, data platform, AI-enabling data work) Knows current GenAI/AI tools, frameworks, model types, public vs private model ...

data security standards. What We're Looking For Proven experience leading large-scale data migration projects Expertise with ETL & reporting tools (Azure Data Factory, Databricks, SSIS, Power BI) Strong understanding of data structures, mapping, and reconciliation Ability to manage dependencies across complex programmes Excellent communication and stakeholder management skills (Travel ...

production ML workflows. Strong grounding in software engineering best practices and cost optimisation. Nice to Have Consulting or pre-sales background. Experience with Databricks or MCP (multi-agent protocol). AWS certifications (ML Specialty, AI Practitioner). ...

work on a brand new AI-focused Digital project in a GDS environment. Technical Responsibilities Build and maintain data pipelines in Azure (ADF, Databricks, Key Vault). Develop ingestion workflows for APIs, structured data, and CSV sources. Implement Infrastructure as Code (Bicep) for Dev/Test environments. Deliver Bronze ...

strategy to exceed revenue objectives Working on Microsoft Azure PaaS and IaaS, specifically: App Services, Azure SQL Database, SQL Server, Storage, Synapse Analytics, Purview, Databricks, Azure data Factory, Azure data lake. Understand which Azure data focused components to use for which purpose Your Skills and Experience Our projects are varied ...

collaborate closely with client stakeholders to translate ambiguous requirements into clean, maintainable solutions that drive real impact. Familiarity with tools such as Airflow, DBT, Databricks, dashboarding frameworks, and Typescript is a strong plus as you help deliver end-to-end production-ready systems. Interview Process Teams conversation (introductory chat) Technical ...

payments industry. Programming Languages: Knowledge of scripting or programming languages (Python, Java, etc.) for data manipulation. Tools : Knowledge on Snowflake/DBT, Kubernetes, S3, Databricks etc. Role and Responsibility :- The Data Mapping Specialist is responsible for analyzing, mapping, and migrating data between legacy and new processing systems. This role ensures ...

maintain scalable Python-based ETL pipelines for ingesting and transforming market data from multiple sources. Design and manage cloud-based data lake solutions (AWS, Databricks) for large volumes of structured and unstructured data. Implement rigorous data quality, validation, and cleansing routines to ensure accuracy of financial time-series data. Optimize ...

mentality. You must have been a Developer before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise in maintaining ...

mentality. You must have been a Developer before moving into Product Ownership Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management: Demonstrated expertise in maintaining ...

have managed complex, Global products. Read on for more details Experience required: Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise in maintaining ...

Develop robust backend systems and APIs to support workflows. Build and maintain CI/CD pipelines, infrastructure-as-code, and container orchestration (Kubernetes, Airflow, Databricks Jobs). Ensure best practices in model tracking, versioning, performance monitoring, logging, and retraining workflows. Collaborate with cross-functional teams to align technical delivery with ...

cost have a solid understanding and hands-on experience of ML, anomaly detection and analytics tools, models and algorithms. e.g. Pandas, SciKit, AzureML, TensorFlow, Databricks, ADX be experienced with the complete software development lifecycle, including DevOps/CI/CD/Automation have hands-on development experience in C# ...

into clear, actionable insight for non-technical audiences. Hands-on experience delivering data products using modern cloud platforms and analytics tools (for example Azure, Databricks, Power BI or Tableau). A collaborative and inclusive leadership approach, with curiosity about emerging technologies such as AI and machine learning and how they ...

audiences. Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training ...

audiences. Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training ...

audiences. Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training ...

platforms such as AWS or GCP. An interest in stream processing frameworks (e.g. Spark, Beam, or Flink) or modern data warehouse architectures (e.g. Snowflake, Databricks). What we're offering We take a structured, objective approach to salary-setting, which is based on market information, our compensation strategy, and your ...

solutions using MVP/test-and-learn approaches. Apply strong coding practices, version control, CI/CD, and maintain analytics infrastructure in Azure (including Databricks). Work with cross-functional teams to define problems, test solutions, and implement improvements. Qualifications . Strong skills in optimisation, simulation, or machine learning. Proficient ...

solutions using MVP/test-and-learn approaches. Apply strong coding practices, version control, CI/CD, and maintain analytics infrastructure in Azure (including Databricks). Work with cross-functional teams to define problems, test solutions, and implement improvements. Qualifications . Strong skills in optimisation, simulation, or machine learning. Proficient ...

create scalable, self-service dashboards. Strong stakeholder engagement across engineering, insights, finance, and operations. Independent, proactive working style. Nice to Have: Experience with Databricks Python exposure HOW TO APPLY: Please register your interest by sending your CV to Mojola Coker via the apply link on this page. ...

product, technical, and commercial stakeholders to deliver high-impact AI solutions. Tech Environment Python LangChain/Langfuse (open to other modern AI frameworks) Azure & Databricks Experience deploying AI/ML models into production Understanding of microservices architectures Strong MLOps practices Experience with conversational AI tools is a plus About ...

product, technical, and commercial stakeholders to deliver high-impact AI solutions. Tech Environment Python LangChain/Langfuse (open to other modern AI frameworks) Azure & Databricks Experience deploying AI/ML models into production Understanding of microservices architectures Strong MLOps practices Experience with conversational AI tools is a plus About ...

Senior Data Engineer who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster management for microservice style API data consumption Consultative behaviour - strong stakeholder engagement skills, providing true consultancy ...

/CD pipelines (ideally Azure DevOps) and cloud security best practices Strong collaboration and communication skills Nice to have: Immediate availability Experience with Databricks or Synapse Knowledge of Data governance in Azure ecosystems Infrastructure as Code (IaC) tooling If you're interested in this role, click 'apply now' to forward ...