1 to 25 of 309 Permanent Databricks Jobs in the UK

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that … culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity … assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect. Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications. Contribute to building the Databricks technical through engagement more »

We are seeking a dynamic and experienced Databricks professional to join our client, a growing Data & AI consultancy, as a Databricks Solutions Architect. Databricks Solutions Architect, you will play a pivotal role in driving the success of our client's Databricks practice through your expertise in presales, strong technical acumen … consulting skills, and effective team management. Key Responsibilities: Presales Expertise: Leverage your in-depth understanding of Databricks to engage with clients in presales activities, providing comprehensive insights and solutions tailored to their unique needs. Collaborate with the sales team to create compelling proposals, presentations, and demonstrations that showcase the value … of Databricks solutions. Technical Mastery: Possess a robust technical background in Databricks, enabling you to guide clients through complex technical challenges and articulate the benefits of adopting Databricks technologies. Stay current with industry trends and emerging technologies related to Databricks, ensuring our client's offerings remain innovative and competitive. Consulting more »

and develop the analytical infrastructure, including cloud data warehouses, data lakes, ETL/ELT pipelines, and workflow automation tasks. Utilize advanced tools like Snowflake, Databricks, Fivetran, and dbt, and gain certifications to validate your expertise. Code in SQL, Python, and Spark, adhering to software engineering best practices such as version more »

Data Engineers. Providing Technical guidance to Data Engineers Knowledge, Experience and qualifications Excellent level of knowledge & experience in Azure Data, including DataLake, Data Factory, DataBricks, Azure SQL (Indicative experience = 5yrs+) Build and test processes supporting data extraction, data transformation, data structures, metadata, dependency and workload management. Knowledge on Spark architecture more »

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 »

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 »

solutions utilising: Azure Data Analytics platform including Azure Synaps Azure Logic Apps, Azure Functions, Azure Storage Azure SQL Data Warehouse, Azure Data Lake, Azure Databricks Azure Cosmos DB, Azure Data Factory, Azure Search, Azure Stream Analytics Delta Lake and Data Lakes Apache Spark Pools, SQL Pools (dpools and spools) Experience more »

person to have worked on real-time Azure projects in various commercial domains. The person will have exposure to modern data tools including Azure Databricks, Cosmos, and data integration technologies. Additional exposure to working with data science teams, and supporting machine learning activity would be highly valued. MAIN RESPONSIBILITIES Be more »

or more of the following Azure data services (ADS): Azure Data Factory, Azure Data Lake Store and Azure Data Lake Analytics with uSQL, Azure Databricks, Azure SQL DB and Azure SQL DW/Azure Synapse Analytics, Azure Analysis Services with DAX, etc... Power BI data visualization (Power BI Desktop, Power more »

problems and translate them into technology solutions. Explore and analyse data from various sources and formats using tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML 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 Application development, database development and/or python scripting experience Must have more »

Architecture, Various Datastores, etc). Strong proficiency in SQL & Python . Experience working with Spark (Pyspark) , data streaming, and big data solutions. Experience with Databricks would be great. Designing and building data warehouses & data lakes in BigQuery, including data modeling and mapping using techniques such as medallion and star schema. more »

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 »

in technical computing, analysis, design, and development. Experience designing and operating analytics solutions using Azure cloud technologies. Proficiency with Azure data resources: Data Factory, Databricks, Storage Account, SQL Database, SQL Data Warehouse. Senior-level experience in data engineering, including designing data models and ETL pipelines, engineering robust solutions, and conducting 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 »

and Python, with knowledge of data warehousing and big data frameworks. * Familiarity with technologies such as Airflow, Talend, AWS services, and visualization platforms like Databricks and Tableau. * Experience with testing, versioning, and documentation tools. * A bachelor's or master's degree in Computer Science, Software Engineering, or a related field. more »

on the Azure side, you will learn about and use data services such as Azure SQL, Synapse Analytics, Azure Data Factory, Azure Data Warehouse, Databricks, Bicep & PowerBI. About You: You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services and platforms. You 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 »

to optimise workflows and analysis for map reduce processing Experience with BI software (Power BI, Tableau, Qlik Sense) Any experience with data engineering, PySpark, Databricks, Delta Lakes beneficial Confident presenting complex problems in ways suitable to target audience Experience leading or managing a small analysis team Familiarity working in an 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 »

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 »

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 »

a wide variety of corporate structured and unstructured sources, 3rd party providers and publicly available data. Leverage cloud data processing frameworks like Apache Spark, Databricks, or similar for handling, processing and analysing complex, high-volume data both structured and unstructured. Ability to script repetitive data tasks in an explainable and more »