for 5 or more consecutive years Demonstrated experience in data architecture or similar role Practical experience across a variety of platforms and languages i.e. Databricks, Snowflake, Azure, AWS, Oracle Cloud, R, Python or similar Understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines 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 »
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 »
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 »
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 »
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 »
Manchester, North West, United Kingdom Hybrid / WFH Options
Adria Solutions
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 »
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 »
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 »
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 »
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 »
building and deploying Modern Data Architectures Experience defining, implementing and deploying scalable Database architectures within Data Management Systems within platforms such as Snowflake, BigQuery, DataBricks, etc. Experience designing and integrating data algorithms and pipelines ensuring performance, scalability, maintainability, and security with back-end/front-end software systems Expertise in more »
Maidenhead, Berkshire, South East, United Kingdom Hybrid / WFH Options
Cognizant
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 »
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Lorien
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 »
testing tools, and documentation best practices Adheres to quality engineering practices including TDD and BDD Nice to have: Kubernetes EKS/AKS/OpenShift Databricks Experience Log Analytics SSO experience Recent Java experience I will be reviewing profiles on Wednesday and Thursday morning, please apply by then to be considered 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 »
