1 to 25 of 36 Databricks Jobs in Berkshire

understanding of statistics and practical machine learning concepts (classification, regression, clustering). Knowledge of big data platforms and cloud-based AI analytics environments (e.g., Databricks, Snowflake, Azure ML, or AWS SageMaker). Ability to present complex issues as simple, compelling, and data-driven narratives, enhanced by AI-supported visualization ...

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 ...

best practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

reliability. Optimise data workflows for performance, cost efficiency, and maintainability using modern data-engineering tools and platforms (e.g., Azure Data Factory, AWS Data Pipeline, Databricks, Apache Spark). Support the integration of data into visualisation platforms and analytical environments (e.g., Power BI, ServiceNow). Ensure adherence to data governance, security ...

increasing exposure to technical leadership, client strategy, and people management. Access to 20 dedicated development days per year. Funded certifications in technologies like Snowflake, Databricks, AWS, and Azure. Hands-on leadership development, exposure to strategic projects, and collaboration with senior consultants. Role Details Contract Type: Permanent Salary ...

Expert SQL and strong Python or R skills. Proven experience with Tableau/Power BI/Looker/Qlik and modern cloud platforms (Snowflake, Databricks, Spark). Strong understanding of statistical methods, experiment design, and ML/AI concepts (preferred). Experience with call centre or digital support KPIs ...

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 ...

Title: Azure Databricks Data Engineer Primary skills: Advanced SQL, Azure Databricks, Azure Data Factory, Azure Datalake. Secondary skills: Azure SQL, PySpark, Azure Synapse. Experience: 10+ Years of Experience Hybrid - 3 Days/Week onsite is MUST About the job We are looking for an experienced Databricks Data Engineer to design … develop, and manage data pipelines using Azure services such as Databricks, Data Factory, and Datalake. The role involves building scalable ETL solutions, collaborating with cross-functional teams, and processing large volumes of data. You will work closely with business and technical teams to deliver robust data models and transformations ...

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 ...

Experience working with Python, C#, and Angular. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with PyTorch, Scikit-learn, Go, Databricks, JavaScript, and Azure Pipelines is desirable, but not essential. Experience in leading software engineering efforts for AI-enabled SaaS products is desirable, but not essential. ...

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 ...

across the entire data ecosystem. Essential tech skills include proficiency in Python, Spark, and Airflow, alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery. Familiarity with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. Experience with one or more major ...

automation. Strong Infrastructure-as-Code skills. Experience designing and delivering modern IT/cloud architectures. Knowledge of modern data/ML platforms (e.g., Databricks, Azure ML, Synapse, MLflow, Airflow). Desirable Disaster recovery and cloud security best practices. Experience in research, life sciences, or health data environments. Data sharing agreements ...

significant experience in: Complex programme planning and delivery in the data and AI domains Data platform and engineering technologies and services such as Databricks, Snowflake, Palantir. Data services from major cloud providers such as Google Cloud, AWS, and Microsoft Azure. Designing and deploying robust, scalable, and secure cloud-based solutions ...

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 ...

Develop and deploy advanced analytics, data science, and machine learning solutions across a variety of use cases. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to extract actionable insights from complex datasets. Contribute to the design and implementation of scalable data science workflows and best … deep learning techniques (e.g., TF-IDF, word embeddings, CNNs, RNNs). Familiarity with generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, or Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large, complex organisations or regulated industries. Strong working ...

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. ...

Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). • Model Deployment & Management: Implement robust MLOps practices for continuous integration, continuous delivery (CI/CD), monitoring, and retraining of machine learning … model registration, deployment (AKS, ACI), and monitoring. • Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics. • Solid understanding of software engineering principles, including version control (Git), testing, and code review. • Experience with containerization technologies (Docker, Kubernetes). ...

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 ...

ALTEN, an engineering and technology consultancy, We are a leading Engineering and IT consultancy operating across 30 countries, making waves in all sectors: Aeronautics, Space, Defence, Security and Naval, Automotive, Rail and mobility, Energy and ...