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 »
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 »
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 »
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 »
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 »
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 »
system connectors via Azure Data Factory.SQL and Python programming skills, along with a good understanding of Machine Learning techniquesExperience using data platforms such as Databricks and SnowflakeExperience of scripting languages such as Javascript, R, Powershell or VBScriptExperience implementing RPA tools such as UiPath and Automation AnywhereExperience of Alteryx Server administrationExperience 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 »
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 »
with Python.Experience building scalable, high-quality data models that serve complex business use cases.Knowledge of dbt and experience with cloud data warehouses (BigQuery, Snowflake, Databricks, Azure Synapse etc).Proficiency in building BI dashboards and self-service capabilities using tools like Tableau and Looker.Excellent communication skills and experience in managing 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 »
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 »
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 »
position as a provider of a Premium technical service.The ideal candidate must have extensive experience of working with Python/PySpark, data pipelines, Azure Databricks (or similar) and data warehousing platforms, as well as a good working knowledge of T-SQL.You will play a leading role in shaping Mace Consult … of experience in a technical leadership roleExperience in one of the main cloud services (AWS, Google Cloud or Azure) and Big Data services (EMR, Databricks, Synapse, HDInsight, Kinesis, Snowflake, etc.)Experience Skilled in use of the Power Platform, including Power Apps, Power Automate and Power BIAdvanced knowledge of Microsoft Excel 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 »
Lead or Senior Data Engineer role * A strong understanding of data architecture concepts * Experience working with Azure technologies such as Data Lakes, Data Factory, Databricks, Synapse Analytics * Strong ETL experience * Experience as a team lead or mentoring other members of the teamThis is just a brief overview of the role. 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 »
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 »
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 »
QualificationsWhat you’ll need:• Technical expertise in tools spanning: data warehousing, ETL, internal visualisation and analytics. Good examples are Snowflake, GCP, Azure Analytics, Sagemaker, Databricks, Tableau, PowerBI, Looker, Quicksight, Airflow, astronomer.io, Alteryx, Collibra.• Hands on experience and\or a detailed and deep understanding of the workflow and approaches of:o more »
