1 to 25 of 37 Databricks Jobs in the South West

with teams across borders. A passion for building high-performing teams and fostering a culture of innovation and continuous learning. Desirable Criteria Experience with Databricks for large-scale data processing. Experience with advanced data visualisation tools (e.g. Tableau, Power BI) with a focus on insightful storytelling. Knowledge of Microsoft ...

e.g., SQL, Python, Spark, cloud platforms), with a commitment to code quality and delivery excellence Preferred qualifications, capabilities, and skills Hands-on experience with Databricks for scalable data engineering, analytics, and collaborative development, as well as proficiency in managing large datasets using Apache Iceberg for efficient, reliable table management ...

Jenkins Azure DevOps (ADO) Jira AWS (EC2, EBS, RDS, S3, EKS) Terraform Ansible CI/CD deployment and automation Unix systems administration Shell scripting Databricks SQL Data Warehouse RBAC Security Model LDAP Integration PowerBI Plotly Dash Enterprise Microsoft SQL Server Database Administration Azure concepts: subscription, resource groups Why Join ...

GCP. We're interested to hear from Data Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflake and more. Additional InformationAssessment process ️ Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick ...

helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Why else you'll love it here ...

JPMorgan Chase within our Corporate Investment Bank , Payments Technology team, you'll design, build, and operate scalable data pipelines and analytics workloads on the Databricks Lakehouse platform. We're looking for a Databricks Engineer to design, build, and operate scalable data pipelines and analytics workloads on the Databricks Lakehouse platform. … deliver trusted datasets, performant ETL/ELT pipelines, and well-governed data products. Job responsibilities Design and implement batch and streaming data pipelines using Databricks (Spark), Delta Lake , and orchestrators (e.g., Workflows , Airflow, ADF). Develop and optimize Spark jobs (PySpark/Scala) and SQL transformations for performance, reliability ...

technologies and orchestration platforms. The successful candidate is likely to have experience with some or all of the following: Terraform Python AWS Microsoft Azure Databricks CI/CD Pipelines DevOps Tooling ETL Frameworks Agile Delivery Methodologies Infrastructure as Code (IaC) Automation & Scripting Soft Skills Strong communication and stakeholder engagement skills. ...

model evaluation, monitoring and risk management. Deep hands-on machine learning experience is not required. Exposure to tools such as Microsoft Purview, Collibra, Alation, Databricks, Microsoft Fabric, Azure ML or Power BI governance would also be useful. Experience within Defence, Central Government, hydrography, sonar, geospatial/mapping or offshore industries ...

work effectively in a collaborative, cross-functional team. Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message queues, experience with scientific, geospatial or time-series data ...

Proficient software development experience in one of J ava, Scala, or Python Software development experience with data-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 ...

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 ...

design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment ...

Strong stakeholder engagement and communication skills. Experience operating within governance and assurance frameworks. Desirable experience includes: TOGAF and/or ITIL certification. Microsoft Fabric, Databricks or data platform certifications. Experience within nuclear, construction, infrastructure or other highly regulated environments. Knowledge of Information Governance and Records Management. Experience supporting AI, automation ...

platforms, and advanced analytics to enhance decision-making and client outcomes. We partner with leading AI and technology providers - including Anthropic, Microsoft, AWS, and Databricks - to accelerate innovation and expand platform capabilities. By connecting proprietary data, AI infrastructure, and commercial strategy, the team drives transformation across Moody's, delivering solutions ...

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 ...

/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud platforms and data science environments such as Azure, AWS, GCP, Databricks or equivalent to build and deploy scalable ML solutions.Strong communication, stakeholder management and problem-solving skills, with the ability to explain complex modelling approaches, trade-offs ...

Central Government, Defence or regulated-sector experience. Defence, maritime, hydrographic, sonar, underwater mapping or oil & gas experience. Experience with Microsoft Purview, Azure ML, Databricks, MLflow or Microsoft Fabric . Knowledge of DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001 or UK GDPR . MLOps, model monitoring or AI risk ...

networking, identity, integration and security. Azure DevOps and modern CI/CD delivery pipelines. Azure integration services and enterprise application integration. MuleSoft integration platform. Databricks and modern data platform technologies. Microsoft SQL Server. Enterprise networking concepts including firewalls, proxies, load balancing and secure connectivity. Producing high-quality architecture documentation ...

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. ...

troubleshooting activities.Familiarity with Microsoft Azure, cloud platforms or enterprise integration technologies would be advantageous.Exposure to modern data platforms and reporting technologies (e.g. Power BI, Databricks or similar) would be beneficial.Experience using IT Service Management tools such as ServiceNow or Jira.ITIL Foundation certification or equivalent experience (desirable).Strong analytical and problem ...

Familiarity with Microsoft Azure, cloud platforms or enterprise integration technologies would be advantageous. Exposure to modern data platforms and reporting technologies (e.g. Power BI, Databricks or similar) would be beneficial. Experience using IT Service Management tools such as ServiceNow or Jira. ITIL Foundation certification or equivalent experience (desirable).Strong analytical ...

z2bz0 years in architecture, engineering, or technical design roles. Knowledge of Azure cloud, networking, security, integration, and DevOps pipelines. Experience with MuleSoft, Databricks, SQL, and enterprise platforms. Understanding of CASB, firewalls, proxies, load balancing. Ability to produce high-quality architecture artefacts. Strong stakeholder engagement and communication skills. Azure Expert certification ...

team to advance the data platform within a DevOps culture. You will play a central role in building and maintaining scalable data pipelines across Databricks & Azure SQL Server, and will bring solid experience with ELT, orchestration, and scripting languages. A firm grasp of data modelling and management will be essential … technical authority accountable for the design and development of the technologies that underpin our data strategy. At the heart of this is our Databricks data platform, and you will take ownership of building, optimising, and maintaining data pipelines using PySpark - orchestrating feeds from source systems through to our group data ...

leaders, cross-functional partners, and non-technical stakeholders Working knowledge of cloud-based data and machine learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products Deep expertise in artificial intelligence, with a track record ...

ensuring service issues are resolved swiftly, with minimal impact. Our Tech Stack Azure: App Services, Functions, Service Bus, Event Hub, CosmosDB, Redis, SQL Server, Databricks, Key Vault, AKS (Kubernetes), Networking, Managed Identity Infrastructure-as-Code (Terraform/Terraform Cloud) CloudFlare GitHub, GitHub Actions, Azure DevOps Pipelines Datadog C#, .NET Core ...