17 of 17 Databricks Jobs in South Wales

bring Strong experience in data engineering, analytics engineering, or applied data science Cloud and data platform exposure, AWS, Azure, GCP, and/or Databricks Python, ideally PySpark, R helpful but not essential End-to-end pipelines, feature engineering, and production ML workflows Familiarity with LLMs, GenAI, or agent-based systems ...

bring Strong experience in data engineering, analytics engineering, or applied data science Cloud and data platform exposure, AWS, Azure, GCP, and/or Databricks Python, ideally PySpark, R helpful but not essential End-to-end pipelines, feature engineering, and production ML workflows Familiarity with LLMs, GenAI, or agent-based systems ...

suited the individuals’ desires and capabilities. Essential Skills Proven experience as a Data Architect (or similar/related role) Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience with Big Data Experience with Enterprise level Data sets Experience of using programming languages such ...

data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency … Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead teams ...

with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure environment Important Details: Fully remote across ...

LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. Be creative, ambitious and curious. ...

LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python are a must. Be creative, ambitious and curious. ...

academic and professional services communities to drive adoption. Desirable Experience with major cloud and AI stacks such as Azure OpenAI/OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service … pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments. Knowledge of data privacy, accessibility ...

academic and professional services communities to drive adoption. Desirable Experience with major cloud and AI stacks such as Azure OpenAI/OpenAI, Azure ML, Databricks, Kubernetes, and Docker. Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service … pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments. Knowledge of data privacy, accessibility ...

experience with modern data platforms and architectures Comfortable working in a client-facing data role Experience across cloud and data tools (Azure, AWS, GCP, Databricks, Snowflake, etc.) Confident communicator with both technical and non-technical stakeholders Passion for data & AI and emerging technologies The details: Location: Bristol - Once a month ...

hands-on experience with the opportunity to gain Microsoft focus certifications and accreditations. Responsibilities Build and manage data pipelines using Azure Synapse, Data Factory, Databricks or Microsoft Fabric Design, implement and maintain data lakes data warehouses and ETL/ELT processes Develop scalable data models for reporting in Power … solutions that best fit the individual needs of the business Skills and Experience Hands-on experience Azure services such as Synapse, Data Factory or Databricks Strong SQL skills Proficiency in Python and/or PySpark Experience with Power BI and data modelling What is on offer Salary ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/Gold layers …/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ years of experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda ...

will initially be for 6 months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/Gold layers …/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ years of experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda ...

heard and your career can grow. In this role, you will be responsible for: Building and managing data pipelines using Azure Synapse, Data Factory, Databricks, or Microsoft Fabric Designing and maintaining data lakes, data warehouses, and ETL/ELT processes Developing scalable data models for reporting in Power BI Work … successful in this role, you will have: Hands-on experience creating data pipelines using Azure services such as Synapse, Data Factory or Databricks Strong understanding of SQL and Python/PySpark Experience with Power BI and data modelling Commercial experience with Microsoft Fabric would be advantageous Some of the package ...

architectures, covering data ingestion, identity resolution, segmentation, and activation Define how the CDP integrates with, Data lake/lakehouse platforms (e.g. Databricks), CRM and sales platforms (e.g. Salesforce), Marketing automation and engagement tools (e.g. Braze) Apply strong understanding of batch vs real-time data flows, consent, and privacy-aware design … data architectures, spanning CDP and identity resolution, Marketing automation and engagement platforms, CRM and customer-facing systems, Data lake/lakehouse platforms (e.g. Databricks). Proven track record of leading discovery, requirements definition, and solution shaping in complex or ambiguous environments Previous exposure and comfortable engaging with senior business ...

architectures, covering data ingestion, identity resolution, segmentation, and activation Define how the CDP integrates with, Data lake/lakehouse platforms (e.g. Databricks), CRM and sales platforms (e.g. Salesforce), Marketing automation and engagement tools (e.g. Braze) Apply strong understanding of batch vs real-time data flows, consent, and privacy-aware design … data architectures, spanning CDP and identity resolution, Marketing automation and engagement platforms, CRM and customer-facing systems, Data lake/lakehouse platforms (e.g. Databricks). Proven track record of leading discovery, requirements definition, and solution shaping in complex or ambiguous environments Previous exposure and comfortable engaging with senior business ...