26 to 50 of 311 Permanent Databricks Jobs

Trading experience. The role is Inside IR35 and will be a couple of days per month onsite in London. Skills Required: Essential experience in Databricks, ADF, SQL, PySpark, CI/CD. Strong design and coding skills (e.g. Python, Scala, JavaScript). Experience with Microsoft or AWS data stack e.g. Microsoft more »

warehouse design Detailed knowledge using cloud data products like Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server. Detailed knowledge in developing in Databricks and experience in coding with PySpark. Spark SQL ETL coding standards: ensuring that code is standardised, self-documenting and can be reliably tested Knowledge of 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 »

management expertise. Familiarity with modern data processing technologies (data lakes, warehouses, reporting tools). Knowledge of Microsoft Azure data and analytics tools (including Azure Databricks). Role Highlights: Hands-On Impact: Dive into data, collaborating directly with cross-functional teams to deliver critical information. Analytical Skills: Design repeatable reports and 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 »

infrastructure, including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight. We also widely use other tech such as Snowflake, DBT, Databricks, Informatica, Matillion, Airflow, Tableau, Power BI etc. The Lead Data Architect will liaise with clients to define requirements, refine solutions and ultimately hand over to more »

open source data science libraries and understand how to apply them to various problem types Experience of using the latest Data science platforms (e.g. Databricks, AzureML) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Data wrangling and manipulation techniques Ideally, you'll also have Experience of working on cloud platforms Used 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 »

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. Requirements: Bachelor's degree in Computer Science, Engineering, or related field. Proven experience as a … Data Engineer with a focus on Azure technologies. Strong proficiency in developing data pipelines using Azure Data Factory, Azure Databricks, or similar tools. Experience in building and maintaining data warehouses and data lakes on Azure, utilizing services such as Azure Synapse Analytics, Azure Data Lake Storage, etc. Expertise in implementing more »

high-quality data outcomes via modern data sourcing, integration and modelling techniques. Youll gain exposure to a wide range of modern technology (e.g. Snowflake, Databricks, Spark) and be continually learning. Requirements of the Data Engineer: Strong experience with data analysis, data modelling (Kimball) and governance, with excellent analytical and problem more »

undergoes a complete greenfield re-architecture from the ground up in Microsoft Azure. The Tech you'll be playing with: Azure Data Factory Azure Databricks PySpark SQL DBT What you need to bring: 1-3 year's experience in building Data Pipelines SQL experience in data warehousing Python experience would more »

Proven Experience: You have a track record in Data Architecture and Data Engineering. Azure Proficiency: You’re proficient across Azure Data Factory, Synapse/Databricks, and Azure Data Lake. Azure Analytics: You possess good knowledge of Azure Analytics, Stream Analytics, Event Hubs, and more. Future-Ready: You’re passionate about more »

experience with Python, Spark & SQL. Experience or exposure to Microsoft Fabric. Outstanding communication skills and proven ability to manage internal stakeholders. 💻 Tech stack : Azure, Databricks, Python, Spark, Pyspark, SQL, Azure, Fabric This will be a two-stage interview process, candidates will work hybrid with an expectation to come to the more »

using Azure AI services for various use cases. Integrating Azure AI services with other Azure products and services, such as Azure Machine Learning, Azure Databricks, Azure App Service, and Azure Cognitive Search. Enabling data capture, ingestion, processing, and storage to serve AI and analytics using Azure technologies Optimising the performance more »

technical stakeholders. Ideally you will be familiar with technologies such as Airflow, Talend, AWS Lambda, Redshift, S3, and analytics/visualisation platforms such as Databricks and Tableau. #dataengineering #datalead #teamlead #dataengineeringmanager #datatrasnformation #datadevelopment #python #sql #analytics #aws Please get in touch for more details more »

options. Skills & experience required: Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around Azure Extensive experience in implementing solutions around DataBricks, Azure Data Factory, Azure SQL, CosmosDB, Cognite Services, Storage Accounts, Azure Service bus, Azure Functions, Event Hub, Synapse and Azure Purview. Excellent understanding of Microsoft more »

What are we looking for? Essentials Experience building high quality Business Intelligence products and solutions Good understanding of the Microsoft technology stack, specifically PowerBI, Databricks & Azure Cloud Proficiency in SQL, good understanding of ETL and ELT processes Strong communication skills, ability to translate complex messages into concise, easy-to-understand more »

experienced in database design (SQL and NO-SQL) and administration, data collection, data warehousing and data transformation good understanding of ETL such as Alteryx, Databricks (Spark), Azure Data Factory and firm knowledge of Microsoft Azure know-how of frameworks, orchestrations, logging & monitoring and security sound English skills to communicate with more »

tools. Data modelling how to architect data models in both relational and nonrelational contexts. Data analysis deep knowledge of data analysis tools/methods. Databricks or other ETL tool knowledge. Membership in/active participant in industry-wide groups/meetups pertaining to data. #J-18808-Ljbffr 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 »

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 »

Azure Pull together all of the separate entities data and put them into one place SQL/Python experience Must have experience in Azure Databricks Exposure to testing Understand the data lifecycle Data Analysis/Engineering experience Exposure to data modelling nice to have Power BI nice to have If more »

Azure Pull together all of the separate entities data and put them into one place SQL/Python experience Must have experience in Azure Databricks Exposure to testing Understand the data lifecycle Data Analysis/Engineering experience Exposure to data modelling – nice to have Power BI – nice to have If 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 »

step into that for the first time! Previous management is not essential at all! Key Experience Required: In-depth knowledge of and experience with Databricks 3+ years experience in Data Engineering Azure experience ideally worked with tools such as Synapse, Azure Data Factory, Data Lake etc Experience with SQL is more »