1 to 25 of 116 Permanent Databricks Jobs in London

designs and techniques Knowledge of Data Warehouse project lifecycle, tools, technologies, and best practices Experience using Cloud Computing platforms (ADLS Gen2), Microsoft Stack (Synapse, DataBricks, Fabric, Profisee), Snowflake Data Integration, Azure Service Bus, Deltalake, BigQuery, Azure DevOps, Azure Monitor, Azure Data Factory, SQL Server, Azure DataLake Storage, Azure App Service more »

create effective data models supporting business processes, including knowledge of dimensional modeling and normalization. Familiarity with big data technologies on Azure, such as Azure Databricks and Azure Stream Analytics. Knowledge of data security practices, cloud architecture principles, scripting languages for automation, data visualization tools, DevOps practices, machine learning frameworks, performance more »

Governance, Data Security processes as part of the solution design About the Candidate Essential experience Experience with the following technologies Azure Synapse, Data Factory, Databricks, SQL Db, Datalake, Key Vault Azure Dev Ops and CI/CD pipelines Coding in SQL and PySpark/Python DW/Data Vault concepts more »

Data Engineer - Databricks - Power BI - London - Up to £75k My client is a multinational organisation who is a leader within their industry. Their projects which have been secured and completed are some of the most impressive projects and put them so far ahead of their competitors. If you're someone … developer who wants to continue to excel using the latest Data technologies. The role is primarily focused around building and maintaining existing pipelines into Databricks but then also created some awesome dashboards and reports using Power BI. The successful applicants will be helping to really utilise the power of data … extensive career development plans which are built specifically around each individual and their aspirations. Required skills: ADF; ability to build pipelines from scratch Azure Databricks Power BI; Ability to build reports from scratch Stakeholder management This is a great opportunity to join outstanding organisation who pride themselves on being one more »

activities Lunch allowance for use within our subsidized onsite canteen Must have skills Working knowledge of Azure DevOps (Git, build and release pipelines), Python, databricks, and snowflake as a requirement. Nice to haves are: PowerBI, and Attunity Replicate Significant information technology and/or application development, database development and/ more »

A global boutique (re)insurance broker are looking for an experienced Azure Data Engineer to join their growing team, to act as the lead Engineer on the support and development of their brand-new next-generation data platform. This is more »

experience with Azure data platform technologies, ideally including Data Lake Gen 2, Synapse, Analysis Services, and Power BI. Proven skills with Azure Data Factory & Databricks/Apache/Sparx, along with extensive SQL knowledge (Microsoft SQL Server 2005+) and SSIS experience. Proficiency in Microsoft DevOps, metadata management, data quality, and more »

experience working in industry as an Azure Data Engineer and/or BI Developer. Proficiency in Azure data tools such as Data Factory, Synapse, Databricks, SQL, Data Lake or Delta Lake. Strong data engineering and data modeling skills, with the ability to craft complex data models. In-depth understanding of more »

data processing and integration. Collaborating cross-functionally to translate complex data requirements into actionable technical solutions that drive business objectives. Leveraging Microsoft Azure and Databricks to architect robust data solutions, prioritizing performance optimization for enhanced operational efficiency. Conducting data modeling, profiling, and quality assessments to uphold the integrity and reliability more »

an organization who are committed to utilizing the latest Microsoft technologies! Requirements: Hands-on experience with Azure Data Factory Hands-on experience with Azure Databricks Excellent SQL and T-SQL skills Visualisation experience using Power BI and use of DAX Experience of working in Agile teams Excellent communication and stakeholder more »

demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AxoWS/Oracle cloud, R, Python. Additional Information Location: This role can be delivered in a hybrid nature from one of these more »

well as batch scripting (e.g. PowerShell) • experience of Python (including TM1Py), Apliqo UX (Cubewise) and Azure Kubernetes is beneficial • broader experience of Apache Spark (Databricks), Business Intelligence (Power BI) and Machine Learning also beneficial • strong analytical, problem-solving and synthesizing skills (you know how to figure stuff out) • Able to more »

developer who wants to continue to excel using the latest Data technologies. The role is primarily focused around building and maintaining existing pipelines into Databricks but then also created some awesome dashboards and reports using Power BI. The successful applicants will be helping to really utilise the power of data … extensive career development plans which are built specifically around each individual and their aspirations. Required skills: ADF; ability to build pipelines from scratch Azure Databricks Power BI; Ability to build reports from scratch Stakeholder management This is a great opportunity to join outstanding organisation who pride themselves on being one … in touch ASAP. Send across your CV to t.shahid@nigelfrank.com or alternatively, give me a call on 0191 3387551. Keywords: Azure Data Factory, Azure Databricks, Databricks Lakehouse, MS Power BI, Power BI, Spark, Delta Lake, T-SQL, DevOps, ETL, Data Modelling, DAX, Data Warehousing, London more »

Azure data systems experience. Proficiency in traditional Data Warehouse tools. Understanding of Dimension Modelling. Strong SQL skills. Knowledge of Azure Data Lake, Data Factory, Databricks, and Functions. Essential Experience Support for Data Warehouses. Building Azure data pipelines. Agile methodology experience. Problem-solving skills. Awareness of industry trends. Stakeholder engagement. Desired more »

timely delivery. Requirements; Significant experience working as a Lead Data Engineer within Financial Services Certifications in relevant technologies, such as Azure Data Engineer or Databricks Certified Developer Experience with real-time data processing and streaming technologies like Apache Kafka or Azure Event Hubs Knowledge of data visualization tools, such as more »

and data and information systems design Experience with data management, database management systems, data services (including APIs), and enterprise data platform technologies (e.g. Fabric, Databricks, Snowflake, etc.) Experience architecting data-centric solutions at a conceptual, logical and physical level Experience in architecting, designing and implementing solutions on AWS and Microsoft more »

alongside other benefits. To be successful in this role you will have. Previous experience working in a Data Engineering role. Excellent understanding of Azure Databricks Experience creating data pipelines using Azure Data Factory Experience working with Azure Data Lake storage. Good working knowledge of other Azure cloud services and technologies more »

an organization who are committed to utilizing the latest Microsoft technologies! Requirements: Hands-on experience with Azure Data Factory Hands-on experience with Azure Databricks Excellent SQL and T-SQL skills Visualisation experience using Power BI and use of DAX Experience of working in Agile teams Excellent communication and stakeholder more »

an organization who are committed to utilizing the latest Microsoft technologies! Requirements: Hands-on experience with Azure Data Factory Hands-on experience with Azure Databricks Excellent SQL and T-SQL skills Visualisation experience using Power BI and use of DAX Experience of working in Agile teams Excellent communication and stakeholder more »

Data Mart. Utilize Vector Databases, Cosmos DB, Redis, and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/CD … pipelines, GitHub, and Kubernetes (AKS) for efficient software development and deployment. Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue. Collaborate with stakeholders to … Cloud environments, Azure Data Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such more »

team members. Requirements: experience as a Data Engineer, preferably in the fintech or related industry. proficiency in Azure services, including Azure Data Factory, Azure Databricks, and Azure SQL Database. communication skills with the ability to effectively engage with stakeholders at all levels. experience in gathering and documenting business requirements. in more »

Knowledge of SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge more important) Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Delivering insights using visualisation tools or libraries (Javascript preferred) Experience building and deploying solutions to more »

data transformation tools, and data governance techniques Good understanding of Quality and Information Security principles Experience with Azure, ETL Tools such as ADF and Databricks Advanced Database and SQL skills, alng with SQL, Python, Pyspark, Spark SQL Strong understanding of data model design and implementation principles Data warehousing design patterns more »

Days in Office Salary: £60,000 - £70,000 + 12.5% Bonus Key areas: SQL Data Engineer, Azure Data Engineer, Azure Data Factory, Azure Databricks, Azure Data Services, Snowflake, SQL Server, Data, BI, BI Development, MS BI Chapman Tate is collaborating with a leading Housing Association that is revolutionizing the industry more »

software development principles. Extensive experience with Azure AI solutions, including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or more »