501 to 525 of 1,820 Databricks Jobs in England

mission needs into technical solutions Lead teams across data, engineering, and delivery Influence strategy, capability, and technical direction Tech landscape AWS | Azure | GCP Databricks | Snowflake Data lakes | Warehouses | Distributed systems DevOps | Infrastructure as Code | Secure deployment Data governance | Secure access | Analytics layers What you bring Active DV clearance (essential) Proven ...

ownership, stewardship, and federated operating models Experience designing data architectures for regulatory, security, and compliance requirements Awareness of modern cloud data platforms such as Databricks, Microsoft Fabric, and Spark-based ecosystems Ability to communicate complex data concepts to technical and non-technical stakeholders Comfortable working independently in complex, regulated environments ...

squads SupportML and GenAI infrastructure and workflows Skills and experience as the Senior Data Engineer: Passionfor building scalable, resilient cloud data platforms Strongexperience with Databricks or Snowflake on AWS ProvenPython skills, including Spark and Airflow expertise AdvancedSQL skills and end-to-end data modelling experience Experiencebuilding batch and real-time ...

model deployment using MLOps frameworks; Strong Python and SQL programming skills, with experience in PyTorch, TensorFlow, and Hugging Face; Experience with Databricks, Spark, and other data platforms and big data frameworks; Excellent communication skills for engaging C-level stakeholders and aligning technical outcomes with business value; Nice to have: Experience ...

Able to extract meaningful insights from complex datasets and demonstrate clear business impact. Technical Expertise – Strong experience with SQL, Power BI, Python/PySpark; Databricks is a plus but not essential. Stakeholder Management – Confident in engaging with senior stakeholders, translating data into compelling narratives that drive business decisions. Commercial Mindset ...

Data Architect with strong data modelling expertise.·Strong SQL Server and data architecture experience.·Experience working within Tableau reporting environments.·Experience with Microsoft Fabric, Databricks or similar modern cloud data platforms would be advantageous.·A track record of supporting data transformation or migration programmes.·Strong commercial awareness and the ability ...

with CI/CD pipelines and supporting production environments. Desirable Skills Experience with Kong API Gateway. Exposure to Cyber Security engineering environments. Knowledge of Databricks, Spark, or Data Lake technologies. Experience supporting Data Engineering platforms. Understanding of API security concepts including OAuth2, JWT, and mTLS. Knowledge of Site Reliability Engineering ...

with CI/CD pipelines and supporting production environments. Desirable Skills Experience with Kong API Gateway. Exposure to Cyber Security engineering environments. Knowledge of Databricks, Spark, or Data Lake technologies. Experience supporting Data Engineering platforms. Understanding of API security concepts including OAuth2, JWT, and mTLS. Knowledge of Site Reliability Engineering ...

Experience with microservices, event-drivenarchitectures, or serverless technologies. Exposure to security practices, OAuth2, SSO, andsecure coding principles. Prior experience mentoring teams or leadingdevelopment streams| DataBricks, PowerBI, Python #J-18808-Ljbffr ...

Python, PostgreSQL, DynamoDB, OpenSearch Experience with APIs, webhooks, and system integrations Familiarity with cloud platforms (AWS, Azure, or GCP) Experience working with Snowflake, Databricks or similar data warehouses Knowledge of AI/ML concepts and how they apply to business processes Customer-Facing Skills Excellent communication skills with both technical ...

multidisciplinary teamsExperience Required:·Experience designing AI, ML or modern data architectures within enterprise environments·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies·Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments·Experience with LLMs, prompt engineering, embeddings, semantic search ...

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 ...

quality standards Deep Data & Analytics expertise , including data platforms, data migration, modelling, governance, master data, or analytics products Experience with cloud technologies such as Databricks, Snowflake, Power BI Strong understanding of data architecture fundamentals and how delivery interacts with data engineering, BI, and governance Experience maturing D&A operating models ...

Java/Scala, with clean coding, testing and code review practices. Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, Databricks, or equivalent. Proven experience with Kubernetes, Docker, Helm and infrastructure as code (Terraform/CloudFormation). Cloud experience with AWS, Azure or GCP (networking ...

with some combination of: Data architecture, modelling, integration, governance or migration Cloud technologies such as Azure, AWS or GCP Modern data platforms such as Databricks or Snowflake Application and integration architecture AI, ML or GenAI Technology transformation and modernisation Architecture frameworks, roadmaps and solution design Working directly with clients ...

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 ...

levels. A proactive and commercially focused mindset with the ability to balance technical excellence with business outcomes. Technical Skills Python SQL SAS R Snowflake Databricks Power BI Tableau Machine Learning and Predictive Modelling Techniques GLMs, GBMs, Demand and Behavioural Modelling What's on Offer? Opportunity to influence pricing strategy ...

Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development ...

marketplace. Good understanding of tools and platforms used across the Lloyd’s insurance ecosystem. Proficiency in Azure ecosystem: Blob Storage, Data Lake, Synapse Analytics, Databricks, Functions, and Monitor. Demonstrated expertise in analytics consulting, data analysis, and data analytics. Strong business acumen with the ability to connect technology decisions to business ...

practices Solid grasp of MLOps principles with experience deploying models in production Proficiency in Python and tools/platforms such as Azure, AWS, GCP, Databricks, MLFlow, and Airflow Strong communication skills with the ability to engage business and technical stakeholders We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits ...

least one scripting language (Python, JavaScript, or similar) Experience working with APIs, webhooks, and system integrations Familiarity with modern data stacks (e.g., Snowflake, Databricks, BigQuery) and ETL workflows Experience in cloud environments (AWS, Azure, or GCP) Ability to translate complex technical concepts into clear business outcomes for both technical ...

Python and SQL with experience in frameworks such as PyTorch, TensorFlow and Hugging Face Experience using data platforms and big data frameworks like Databricks and Spark Excellent communication skills for engaging C-level stakeholders and aligning technical outcomes with business value Nice to have Experience applying AI in drug discovery ...

operations, outage reporting or regulatory reporting exposure. Hyper‐V, Red Hat server environments and IT/OT infrastructure refresh projects. Power BI, Business Objects, Databricks or operational reporting modernization exposure. Personal High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal ...

users. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3 years applied experience. Good working knowledge of AWS, Databricks, and Python. Experience across the data lifecycle. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases. Significant experience with statistical data analysis ...

have experience with some combination of:Data architecture, modelling, integration, governance or migrationCloud technologies such as Azure, AWS or GCPModern data platforms such as Databricks or SnowflakeApplication and integration architectureAI, ML or GenAITechnology transformation and modernisationArchitecture frameworks, roadmaps and solution designWorking directly with clients and senior stakeholdersExperience with industry platforms ...