101 to 125 of 283 Databricks Jobs in the UK

Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »

Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »

Version 1 has celebrated over 26 years in the Technology industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »

offers competitive compensation and ample room for professional growth. Key Responsibilities: Engineering: Design, develop, and maintain data pipelines using Azure Data Factory (ADF) and Databricks, ensuring the seamless flow of data across various systems and platforms. BI Reporting: Utilize Power BI to create visually appealing and insightful reports and dashboards … a strong background in building and maintaining data pipelines and Power BI reports. Skills: Proficiency in Azure services, including Azure Data Factory (ADF) and Databricks, is essential. Experience with Power BI is required, along with a solid understanding of SQL and data modelling principles. Mindset: Strong analytical and problem-solving more »

and marketing purposes around pricing, promotions, recommendations, Computer Vision, NLP, forecasting and media performance optimisation Experience with cloud platforms such as Snowflake, AWS and DataBricks Excellent problem solving skills to deliver best in class data science products and solutions for end clients Exposure to cloud based analytical platforms such as … Databricks, Snowflake, Google BigQuery etc. more »

business benefits. Regularly launching products and services resulting from your work and actively contributing to their success. Experience we are seeking: Good understanding of DataBricks and PySpark. Proficient knowledge of SQL and CosmosDB (or similar) databases. Expertise in designing, constructing, administering, and maintaining data warehouses and data lakes. Familiarity with … Catalog, and Master Data Management. (You will be skilled up in this sought after area) Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, Azure ML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written communication skills. Please apply if of interest. more »

on-prem, but the direction of travel is cloud engineering. You'll be executing code in different places across the following tech stack: Azure, Databricks, PySpark and Pandas. You will steer the data engineering function within a wider product team. There'll be lots of connecting and interaction with stakeholders … and inclusive environment where you can grow your career and make a real difference. Essential criteria: Enterprise-scale experience with Azure data engineering tools, Databricks, PySpark and Pandas Experience of data modelling and transforming raw data into datasets Experience of building team capability through role modelling, mentoring, and coaching Able more »

techniques and the CRM environment. RESPONSIBILITIES: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the business Building predictive, segmentation and personalisation-based models with … Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is a bonus Experience of management BENEFITS: Pension scheme Gym Membership Share options Bonus Hybrid working HOW TO APPLY: Register your interest by sending your more »

techniques and the CRM environment. RESPONSIBILITIES: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the business Building predictive, segmentation and personalisation-based models with … Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is a bonus Experience of management BENEFITS: Pension scheme Gym Membership Share options Bonus Hybrid working HOW TO APPLY: Register your interest by sending your more »

content platform. This consultancy is known for their technical expertise in the market, and they work with some of the most innovative tools including Databricks, Snowflake, AWS, Google Cloud Platform (GCP), Azure and more! The role is based in London, with 3 days in the office and it is offering … least one cloud platform including AWS, GCP and/or Azure Data modernisation and data ingestion experience Experience leading at least one implementation of Databricks and/or Snowflake is required Data Lake and data storage design experience for both structure and unstructured data Experience working for a consultancy or more »

Lead Product Manager London - Hybrid 2/3 days a week £115,000 - £125,000 + amazing benefits About The Company We have partnered with an organisation that is truly helping people make better informed and clearer financial decisions to more »

Platform Engineer – 6 - month contract My customer requires an experienced Platform Engineer to join an existing team for an initial 6-month engagement. This Platform Engineer will be responsible for managing and leading the operation of Cloud Infrastructure (Azure). more »

instrumental in shaping their data infrastructure, ensuring it supports the strategic objectives. You will leverage cutting-edge technologies, primarily focusing on Microsoft Azure and Databricks, to develop and maintain robust, scalable data solutions. Responsibilities: Leadership and Strategy: Lead the data engineering team, setting standards and best practices. Contribute to the … and mentorship to junior data engineers, fostering a culture of continuous learning and improvement. Essential Skills: Technical Expertise: Extensive experience with Microsoft Azure and Databricks, including data storage, processing, and analytics. Programming Skills: Proficiency in Python, SQL, and other relevant programming languages. Big Data Technologies: Experience with big data technologies 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 »

and insightful. Working closely with data engineers to integrate backend data. Technical skills: Proficiency in front-end visualisation tools - Power BI Experience with Azure Databricks Strong skills in data storytelling and dashboard creation Understanding of backend data processes (ETL, data integration) Experience with SQL, Python, Git Additional skills: Excellent communication more »

data science and analytics team in deploying pipelines. Coach and mentor the team to improve development standards. Key requirements: Strong hands-on experience with Databricks, Spark, SQL or Scala. Proven experience designing and building data solutions on a cloud based, big data distributed system (AWS/Azure etc.) Hands-on more »

of data, generally time series and numeric data Experience of or willing to learn the following technologies: Microsoft Fabric or its related technologies: Azure Databricks Azure Synapse Analytics Azure DW Azure SQL DB Azure Data Factory Azure Data Lake Experience of taking different business applications and use cases and supporting 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 »

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 »

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 »

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 »

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 »