376 to 400 of 1,819 Databricks Jobs in England

with senior leaders and executivesCommitment to inclusive, collaborative teamworkStrong problem-solving and analytical skillsPreferred qualifications, capabilities, and skillsExperience with modern data platforms such as Databricks or SnowflakeHands-on expertise with Spark/PySpark and big data processing technologiesKnowledge of open-source table formats and catalog services such as Apache IcebergExperience ...

application, integration, and technology architectures with material experience in business architecture. Strong knowledge of enterprise data platforms, public cloud services (e.g., Amazon Web Services, Databricks, Microsoft Azure, ServiceNow), and application, data, process, service, and system integration toolsets. Experience supporting Master Data Management, Data Governance, and Analytics initiatives. Experience of understanding ...

years post related and 2 years function related experience.Demonstrable experience of delivering data integration projects using Al and or Machine Learning Tools e.g. Databricks, Watson, Microsoft Cognitive Toolkit, TensorFlow. Demonstrable experience of using mathematical and statistical models to solve business problems.Demonstrable experience of applying data science, analytics and data integration ...

platform at scale, ideally in a consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale, encompassing both batch processing ...

solving skills with the ability to work across software, data, cloud, and connected-product teams Desirable Experience with Azure IoT services, Azure Data Explorer, Databricks, containerisation, APIs, or cloud-native application deployment Experience with infrastructure as code, automated testing, observability, logging, or platform monitoring Awareness of MLOps concepts such ...

they can be effectively applied across the organisation.Understanding of Master Data Management (MDM) concepts and strategies.Exposure to Cloud Data Platforms such as Databricks or Snowflake, with hands on experience in real world scenarios.Understanding of entity-relationship modelling, metadata systems, and data quality tools and techniques Ability to think strategically ...

development standards and best practices. About you Extensive experience designing and delivering enterprise-scale data engineering solutions Strong hands-on experience with Azure Databricks, including PySpark, Delta Live Tables and Databricks Workflows and orchestration Microsoft Fabric experience, including Lakehouse, Data Factory, Warehouse and Spark Knowledge of Azure Data Platform services ...

related technical discipline. Preferred Qualifications: To support our strategic roadmap, we would value hands‐on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks, LLM integration ...

Economics, Applied Mathematics, Business Analytics, Marketing, or a related analytical field. - Strong technical proficiency in Python, R, SQL, or similar analytics tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. - Experience or willingness to learn visualisation tools such as PowerBi and Tableau - Experience building ...

Strong technical understanding of modern data architectures and platforms, including data modeling concepts, ETL/ELT patterns, cloud data platforms such as Snowflake and Databricks, data quality tools, metadata tools, lineage tools and data governance tools such as Collibra, Unity Catalog. Working knowledge of SQL and data-analysis techniques, with ...

related technical discipline.## **Preferred Qualifications:*** ## To support our strategic roadmap, we would value hands-on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks ...

data, application, cloud, integration and security.Working knowledge of data architecture concepts – including data modelling, integration, governance, visualisation and migration – and tools such as Databricks, Snowflake or equivalent.An appreciation of how technology can solve complex business problems, and comfortable operating at the intersection of business and technology.Strong written and verbal communication ...

expert‐level Python proficiency and experience with core data science and ML libraries (e.g., scikit‐learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark‐based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt ...

discuss the merits and trade-offs of using any particular design approach and technology.Technical ExpertiseStrong hands-on experience in:Azure cloud services, Python, Databricks and ETLsProtocols and formats REST/SOAP, JSON, XML, etcDevOps tools, CI/CD pipelines, Git, and automated testing frameworksStrong understanding of data warehousing, data pipelines ...

including proficiency in Python and experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt ...

strong partnerships with AWS, Azure and GCP. We'reinterested to hear fromDataArchitects with experienceacross the majority ofleading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflakeand more. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Round ...

frameworks, and machine learning principles to generate conversational analytics, predictive and advanced marketing insights. Comfortable working in modern cloud data environments (e.g., Snowflake, BigQuery, Databricks, Fabric). Understanding the data structures and reporting capabilities within major marketing and martech platforms (e.g., Adobe Campaign/AJO, Salesforce Marketing Cloud). Ability ...

including expert-level Python proficiency and experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow).Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing.Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering ...

Strong technical understanding of modern data architectures and platforms, including data modeling concepts, ETL/ELT patterns, cloud data platforms such as Snowflake and Databricks, data quality tools, metadata tools, lineage tools and data governance tools such as Collibra, Unity Catalog. Working knowledge of SQL and data-analysis techniques, with ...

Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector ...

Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector ...

Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector ...

Data Architect/Lead Data Engineer - Databricks Worcester | Hybrid working £70,000 - £80,000 plus bonus and benefits Permanent We are recruiting for a newly created Data Architect position within an established technology-led organisation based in Worcester. This is a hands-on role for someone who can combine data … role You will work across modern cloud data platforms, helping the organisation improve how data is structured, governed, integrated and delivered. The environment includes Databricks, cloud technologies, data lakes, analytics, reporting and emerging AI and machine-learning products. Your responsibilities will include: Defining and evolving data architecture principles, standards ...

NTT DATA is seeking a highly experienced Data Solutions Architect (Modern Big Data) to lead design and delivery of scalable data platforms in the Data & AI practice. You will steer cloud-native architectures, guide streaming ...

A leading asset management firm based in Sheffield is seeking a full-time Technical Lead in Data Engineering. You will architect new data flows, rebuild data pipelines, and mentor a growing team. Key responsibilities include ...