1 to 25 of 283 Databricks Jobs in England

Data Engineers. Providing Technical guidance to Data Engineers Knowledge, Experience and qualifications Excellent level of knowledge & experience in Azure Data, including DataLake, Data Factory, DataBricks, Azure SQL (Indicative experience = 5yrs+) Build and test processes supporting data extraction, data transformation, data structures, metadata, dependency and workload management. Knowledge on Spark architecture more »

ongoing support and maintenance. Why should you work at Microsoft Business Group? Multi Award Winning Business Official and Award-Winning Microsoft Partner Award Winning Databricks Partner Official GitHub Partner Cloud Native Organisation Growing International and Diverse teams Hugely collaborative environment, where ideas and knowledge sharing are actively encouraged Private Medical more »

storage Highly Preferred Technical Skills: Experience with Kubernetes for container orchestration and data platform scalability Expertise in database tuning for performance optimization Familiarity with Databricks for large-scale data processing If interested, please apply or message me directly at 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 »

ensure data quality, and escalate technical issues as necessary. What you’ll be getting up to: Monitoring and recovery of Azure Data Factory and Databricks jobs Proactive monitoring of data quality Becoming a subject matter expert on the company's data sources and ingestion methods. Assisting in developing and adhering more »

architecture modelling toolsDeep domain expertise in cloud scale analytics and experience in one or more technologies e.g. Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure Synapse, Azure ML, Azure Cognitive Services, PowerBIKnowledge and exposure of financial regulation is highly desirableAwareness of industry trends across wider technology 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 »

VB, C#, SQL, Python), code version control systems (e.g. GitHub), and industry standard software development approaches.Experience with technologies such as Microsoft Azure, .Net development, Databricks, Synapse, ServiceNow, Microsoft Power Platform (including PowerApps, Power Automate and Power BI) is desirable. People & CultureEmbrace and embed our culture ambition of high challenge, high more »

a Data Engineer Experience with analytical reporting and reporting tools - Tableau, Powerbase, SAP BO, Cognos (or similar) Experience with Data Integration tooling/Frameworks - Databricks, Oracle Data, Oracale Warehouse, AWS Glue, Azure Data Factory (or similar) Extensive experience with Python, Spark, SQL, SAS, MATLAB Strong SQL experience Good understanding of more »

in the Banking and Financial Services sector is advantageous. Deep knowledge or experience with using as much of the following: Azure Cloud Data Components | Databricks | Python | PySpark | Terraform | APIs | Lakehouse | Data Mesh | Nosql DBs | GitHub Oversee the evolution of the data platform, encompassing data pipelines, storage, and processing. Establish and 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 »

best practice solutions. * Develop strong relationships with key stakeholders to ensure smooth operational delivery.Skills & Qualifications * Some technical knowledge of Azure Data; Azure Data Factory, Databricks, Azure SQL, Azure Synapse - or similar transferable experience within the Microsoft stack. * Experience leading a team within the IT space. * Confident in speaking to and more »

in PowerBI, DAX, Power Query, and SQL Strong understanding of data modelling and database concepts Familiarity with data visualisation techniques Experience with Azure and Databricks is a plus Prior experience in financial services or commodities is a must If interested please come back with an updated CV and contact number 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 »

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 »

practices. A team player with excellent communication & collaboration skills. Desirable: Experience developing and maintaining data warehouses/lakes using big data solutions (e.g., Snowflake, Databricks). Familiarity with SQL Server, PostgreSQL or NoSQL database technologies. Previous experience within banking or finance desirable, but by no means necessary. If you're more »

Python Experience developing in the cloud (AWS preferred) Solid understanding of libraries like Pandas and NumPy Experience in data warehousing tools like Snowflake, Pyspark, Databricks Commercial experience with performant database programming in SQL Capability to solve complex technical issues, comprehending risks prior to the circumstance. Please apply today or get more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

data solutions from the earliest discovery phases of projects through prototyping, architectural design and delivery. You will be working with Azure tools such as Databricks, Data Factory as well as Hadoop to create big data environments which, in turn, will help businesses to gain greater insight into their big data … BI/Analysis Services/DAX Data Modelling/Data Warehouse Theory Nice to Have Azure Modern Data Platform Services (Data Lake, Data Factory, Databricks, Synapse) Azure DevOps/CI/CD/YAML/ARM/Terraform MSBI Traditional Stack (SQL, SSAS, SSIS, SSRS) Azure Automation/PowerShell Azure more »

A minimum of 5 years experience within a similar role, experience within the healthcare industry would be advantageous Proven working knowledge of the following: Databricks, Python, Power BI, TSQL, ETL, Agile methodologies and Refactoring Great communication skills, comfortable presenting yourself and information in presentations and/or meetings Company Benefits more »

Job Title: Azure Data Engineer (Contract) Duration: 3 months Rate: £400 per day Location: Remote Skills: Databricks/Azure Data Lake/Kubernetes IR35 Determination: Outside IR35 Company Overview: We are seeking a skilled and experienced Azure Data Engineer to join our team on a contract basis. This is an … reliability, efficiency, and performance of our data solutions on the Azure platform. Responsibilities: Design, develop, and implement data solutions using Azure services, including Azure Databricks, Azure Data Lakes, and other cloud-native technologies. Work closely with cross-functional teams to understand data requirements and translate them into technical specifications. Build … Contract Details: Duration: 3months Start Date: ASAP Rate: £400 Outside IR35 Data Engineer/Day Rate/Contractor/Azure/Data Lakes/Databricks/Remote/Outside IR35 Data Engineer/Day Rate/Contractor/Azure/Data Lakes/Databricks/Remote/Outside IR35 Data more »

bring fresh ideas to the table. Key Responsibilities Engineer and orchestrate data flows & pipelines in a cloud environment using a progressive tech stack e.g. Databricks, Spark, Python, PySpark, Delta Lake, SQL, Logic Apps, Azure Functions, ADLS, Parquet, Neo4J, Flask Ingest and integrate data from a large number of disparate data … in training and learn new technologies and techniques Tackle challenging project tasks demonstrating ownership and responsibility Skills: Experience in processing data using Spark/Databricks or similar Experience working in a cloud environment (Azure, AWS, GCP) Experience in at least one of: Python (or similar), SQL, PySpark Experience in building more »