276 to 300 of 1,307 Databricks Jobs in London

deployment) Proficient software development experience in one of J ava, Scala, or Python Software development experience withdata-processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools Expert in SQL or SQL extensions for analytical use case Expert understanding of distributed data stores and data processing frameworks ...

drive business transformation through data. Lead and inspire specialist data, analytics, and AI teams. Leverage a modern technology ecosystem including Azure, Power BI, Fabric, Databricks, Salesforce, and Microsoft Dynamics to deliver impactful solutions. What We're Looking For Degree qualified and/or professionally qualified, with significant experience leading enterprise ...

methodologies, CI/CD, application resiliency, and security Practical cloud-native experience Preferred Qualifications, Capabilities, and Skills: Experience with modern data technologies such as Databricks or Snowflake Hands-on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Experience in data engineering, data solution design, or data architecture roles, with strong expertise in Microsoft Azure data services and modern cloud platforms (e.g. Databricks) Good understanding of end-to-end data architecture, including ingestion, transformation, storage, modelling, and reporting Experience with Azure services such as Data Factory, Databricks, Synapse ...

insight from data Experience in data integration and modelling including ELT pipelines Hands-on experience designing and delivering solutions using Azure Data Factory, Azure Databricks, Azure Storage, and Azure DevOps Strong proficiency in Python and SQL Experience working with Data Architects for technical design Experience designing data models, including Star … Capabilities Planning and Organising Skills Negotiation Skills Commercial Awareness Industry Keywords Insurance Analysis Data Governance Data Quality Data Security Data Operations Tools & Technologies Azure Databricks Azure Storage Azure DevOps Power BI Data Lakehouse #J-18808-Ljbffr ...

fast-paced environment. Key ResponsibilitiesDesign, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.Implement … interpersonal skills.Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse.Preferred Qualifications:Certifications in Azure, AWS, or GCP.Certifications in Databricks, Snowflake or similar technologies.Experience in the leading large scale data engineering projects.Working ConditionsHybrid work arrangement: two-three days per week working from the office ...

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the Credit data ...

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the Credit data ...

small team. Define and own the target data architecture, standards, reference patterns and technical roadmap for a strategic enterprise data capability. Design a modern Databricks lakehouse foundation that enables secure, scalable use of data across a complex product landscape. Establish scalable medallion patterns across Bronze, Silver and Gold layers, including … capabilities and engineering standards. Significant experience as a Data Architect, Lead Data Architect, Principal Data Engineer or comparable senior technical leader. Advanced, hands-on Databricks experience in production environments, including lakehouse architecture, Delta Lake and relevant governance, workflow, SQL and optimisation capabilities. Proven ownership of modern data platforms or data ...

Aubay UK is seeking an experienced Tech Lead (Azure Databricks Data Platform) to lead the design, development, and delivery of enterprise-scale data platform solutions leveraging the Azure Data Platform and Databricks ecosystem. The successful candidate will be responsible for providing end-to-end technical leadership across data engineering initiatives … requirements into scalable, high-performance data solutions that support critical business operations and analytics capabilities. This role requires deep hands-on expertise in Azure Databricks, Structured Streaming, Delta Live Tables (DLT), PySpark, Python, and SQL, alongside strong stakeholder management and leadership skills. The ideal candidate will have a proven track ...