15 of 15 Remote Databricks Jobs in Berkshire

based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency ...

communicating insights effectively. •Familiarity with MLOps frameworks, CI/CD pipelines, and model deployment. •Good knowledge of cloud-based data platforms (e.g. AWS, Databricks, Azure) •Knowledge of data governance and ethical AI principles. •Excellent communication skills, with the ability to translate technical results into business impact. •The ability to explain ...

financial services industry. Qualified candidates will have specific hands-on experience with Python, SQL, AWS, building data pipelines, ETL processes, and any exposure to Databricks would be a plus. Financial services experience is required, and knowledge of various asset classes is preferred. BSCS or advanced degree required. Applicants must have ...

ESRI ArcGIS, Power BI, and FME, Excel. Knowledge of wastewater industry, capability in additional geospatial tools, analytical tools and data management (e.g. Python, SQL, Databricks, Azure Data Factory) will be beneficial. Proven ability to produce detailed management reports. High attention to detail with the ability to understand the wider business ...

maximise their output. So let's talk technical skills. To be successful in this role, you will need: SQL Python (Advanced) Azure stack (Synapse, Databricks, ADF) ETL pipelines Some knowledge of Pricing/Actuarial as a business area and what they do This will be a hybrid role, working from ...

Integration: Collaborate with Technology and Finance teams to align data across platforms, ensuring migrations are executed right first time and leveraging modern tools (e.g., Databricks, Datasphere, Purview). Insight & Reporting Enablement: Partner with BI teams to surface unified, reconciled data models that support both management and statutory reporting. Capability Building ...

working in a fast-paced, collaborative environment with strategic and operational responsibilities. Experience with vendor management and contract oversight. Familiarity with tools such as Databricks, Tecton (or Feast), Seldon, or SageMaker. What can they offer you? Private health and mental wellbeing coverage, including access to counselling and coaching. Salary ...

need to have experience with some of the following and be able to learn new technologies or concepts quickly: Deep experience with Databricks on Microsoft Azure, including Delta Lake, Unity Catalog, Delta Live Tables, PySpark and Databricks SQL, alongside complementary services such as Azure Data Factory, Synapse Analytics, and Microsoft … Fabric. Designing and implementing Lakehouse architectures in Databricks to unify data warehousing and data lake capabilities, enabling scalable analytics and governance. Building and orchestrating Databricks notebooks, Delta Live Tables, Databrick Jobs and integration with Azure Data Factory for enterprise-scale data ingestion and transformation. Proficiency in Python and PySpark ...

need to have experience with some of the following and be able to learn new technologies or concepts quickly: Deep experience with Databricks on Microsoft Azure, including Delta Lake, Unity Catalog, Delta Live Tables, PySpark and Databricks SQL, alongside complementary services such as Azure Data Factory, Synapse Analytics, and Microsoft … Fabric. Designing and implementing Lakehouse architectures in Databricks to unify data warehousing and data lake capabilities, enabling scalable analytics and governance. Building and orchestrating Databricks notebooks, Delta Live Tables, Databrick Jobs and integration with Azure Data Factory for enterprise-scale data ingestion and transformation. Proficiency in Python and PySpark ...

technology environment What You'll Work With The platform is built on a Microsoft stack with centrally stored data: Azure Machine Learning Microsoft Fabric Databricks Centralised data lake architecture Microsoft Dynamics CRM AI-powered legal tools focused on due diligence and contract review Nice to Haves Experience working on established ...

automations that reduce manual process by up to 90% in globally significant banks. We've raised $7m from the backers behind Klarna, Spotify and Databricks to continue growing. Our Engineering team Our engineering team is obsessed with our users, endlessly curious about new ways to create value, and deeply technical. ...

pipelines, architecture, and analytics environments are reliable, performant, and secure. Key Responsibilities Platform Development & Maintenance Design and implement data pipelines using Azure Data Factory, Databricks, and related Azure services. Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability … using Azure Data Lake Storage. Implement governance and security measures across the platform. Leverage Terraform or similar IaC tools for controlled and reproducible deployments. Databricks Development Develop and optimise data jobs using PySpark or Scala within Databricks. Implement the medallion architecture (bronze, silver, gold layers) and use Delta Lake ...

aligns with long-term objectives. In this Senior Data Engineering role, you'll design, develop, and maintain data platforms using technologies such as Snowflake, Databricks, Synapse/Fabric, and PySpark, ensuring the scalability, security, and performance of all data systems. As the Senior Data Engineer your role will … that support efficient and reliable data processing. Key Responsibilities of the Senior Data Engineer: Solid grasp of modern data engineering concepts and workflows. Strong Databricks experience Familiarity with Azure and related DevOps tools. Strong Python programming capability. Knowledge of data orchestration, pipeline development, and data modelling. Background in connecting data ...

Senior Data Scientist - Recommender Systems Experience Salaries in the region of £65,000 - £75,000 DoE Hybrid working - 2 days central London office Job Reference J13031 Full UK working rights required/no sponsorship available ...

work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype, and deploy LLM use cases … tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain ...