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 »
Central and North West London NHS Foundation Trust
data security measures. Experience in the use of cloud based BI tools including Microsoft Azure BI solutions (e.g. Azure Data Factory, MS SQL server, Databricks/Snowflake or equivalent tool) Experience with other programming languages such as Python and 'R' Experience of using any reporting tool preferably Tableau Previous experience more »
as an Azure Solution Architect in Microsoft Data and AI. Extensive, hands-on, current experience in Azure data and AI technologies, like Fabric, Synapse, Databricks, Spark, Python, GitHub, Data Factory, Azure Data Lake, Power BI, Cognitive Services, Purview, etc. Strong data analysis and modeling skills. High-level understanding of Azure 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 »
Better Placed Ltd - A Sunday Times Top 10 Employer in 2023!
experience working as a Data Engineer, preferably on the Azure platform. Strong knowledge of Azure data services, such as Azure Data Lake Storage, Azure Databricks, and Azure SQL Database. Proficiency in SQL and programming languages like Python or Scala. Experience with data modeling and ETL/ELT concepts. Strong problem more »
and unit testing. Infrastructure-as-code expertise with CI/CD pipelines. Ability to communicate complex topics clearly. Nice to Have: Experience with Snowflake, Databricks, and GCP or Azure. Knowledge of streaming data architectures. Data security and compliance implementation. Machine Learning Operations (MLOps) experience. 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 »
Kimball & inmon, and hybrid data warehouse design. Cloud data products such as: Data factory Events Hubs Data Lake Synapse Azure SQL Server Experience developing Databricks and coding with PySpark and Spark SQL. Proficient in ETL coding standards Data encryption techniques and standards Knowledge of relevant legislation such as: Data Protection 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 »
Business Intelligence products and solutions Strong ability to coach, guide and motivate junior team members Deep understanding of the Microsoft technology stack, specifically PowerBI, Databricks & Azure Cloud Proficiency in SQL, strong understanding of ETL and ELT processes Strong communication skills, ability to translate complex messages into concise, easy-to-understand 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 »
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 »
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 »
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 »
experience in DWBI, Big Data, Cloud Technologies • Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks • Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark 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 Person Specification • Self motivator with a desire to learn new skills and embrace new technologies 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 »
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 Person Specification Self motivator with a desire to learn new skills and embrace new technologies 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 »
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 »
Senior Databricks Migration Consultant Remote This role demands in-depth knowledge of data engineering, cloud technologies (preferably AWS), and a successful record in enterprise level data migrations into Databricks. You will ensure the efficient and secure transition of our data assets to the Databricks Lakehouse Platform, working closely with our … impacts, and project dependencies. - Develop detailed data migration strategies, including architectural plans, data quality evaluations, testing, and creating robust data pipelines and workflows for Databricks best practices. - Maintain data integrity, security, and compliance with regulations like GDPR. - Manage data migration from legacy analytics data warehouses, data lakes, and ETL tools … to Databricks within set deadlines. - Comfortable operating in all project phases, adjusting requirements, and supporting the transition from build and migration to production. - Serve as a Databricks SME, sharing knowledge, technical guidance, and troubleshooting. Basic skillset requirements - Proven experience in AWS and/or Azure data migrations - Databricks architecture, components more »
