426 to 450 of 2,092 Databricks Jobs in the UK

Data Analytics, Artificial Intelligence or a related field, or equivalent experience, would be effective, although practical experience is equally valuable.“Nice to Have”Azure, Databricks, Apache Spark or comparable cloud and data platforms.Data pipelines, ETL and workflow-orchestration technologies.Machine-learning methods such as forecasting, prediction or classification.Experience with enterprise platforms ...

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 ...

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 ...

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 ...

executives Commitment to inclusive, collaborative teamwork Strong problem-solving and analytical skills Preferred qualifications, capabilities, and skills Experience with modern data platforms such as Databricks or Snowflake Hands-on expertise with Spark/PySpark and big data processing technologies Knowledge of open-source table formats and catalog services such ...

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 ...

based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.Preferred qualifications, capabilities, and skillsExperience with modern data platforms such as Databricks or SnowflakeDeep hands-on experience with Spark/PySpark and other big data processing technologiesExpertise in open-source table formats and catalog services such ...

environment that deeply cares about its values. To use a range of different tools and technologies depending on the specific task, these include: Databricks, Python, PySpark, R, Excel, Palantir Foundry, SQL and PowerBI. Qualifications Even if you don’t meet every requirement below, feel free to still apply ...

skillsExperience serving as an application owner, site reliability engineer, production management lead, or technology risk and controls partner in a regulated environmentFamiliarity with Databricks and cloud data-lake patterns using object storage as a core data storeExperience driving remediation of security findings and coordinating coordinated upgrades across frameworks, runtimes ...

Experience serving as an application owner, site reliability engineer, production management lead, or technology risk and controls partner in a regulated environment Familiarity with Databricks and cloud data-lake patterns using object storage as a core data store Experience driving remediation of security findings and coordinating coordinated upgrades across frameworks ...

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 ...