1 to 25 of 1,523 Databricks Jobs in the UK

knowledge and best practices across the wider Professional Services team Own OKRs for revenue and utilization, with a focus on driving customer outcomes and Databricks consumption Raise awareness and be a thought leader in the market by speaking at Databricks and other key ML events Lead Databricks cultural values by … example and champion the Databricks brand What we look for: Extensive experience managing, hiring, and building a team of motivated data scientists/ML engineers, including establishing programs and processes Deep hands-on technical understanding of data science, ML, GenAI and the latest trends While managers do not directly deliver … learning, and driving business value through ML Company first focus and collaborative individuals - we work better when we work together. Preferred Experience working with Databricks and Apache Spark Preferred Experience working in a customer-facing role About Databricks Databricks is the data and AI company. More than 10,000 organizations More ❯

in our Professional Services team, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help … a customers' successful understanding, evaluation, and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect, and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with … Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best More ❯

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 … to Manager, Field Engineering. The impact you will have: Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion More ❯

knowledge and best practices across the wider Professional Services team Own OKRs for revenue and utilization, with a focus on driving customer outcomes and Databricks consumption Raise awareness and be a thought leader in the market by speaking at Databricks and other key ML events Lead Databricks cultural values by … example and champion the Databricks brand What we look for: Extensive experience managing, hiring, and building a team of motivated data scientists/ML engineers, including establishing programs and processes Deep hands-on technical understanding of data science, ML, GenAI and the latest trends While managers do not directly deliver … learning, and driving business value through ML Company first focus and collaborative individuals - we work better when we work together. Preferred Experience working with Databricks and Apache Spark Preferred Experience working in a customer-facing role About Databricks Databricks is the data and AI company. More than 10,000 organizations More ❯

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering … teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the … growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you More ❯

UK Public Sector - SC clearance is an advantage Retail/CPG Media Communications, Media Agencies 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 … 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 … the Manager, Field Engineering. The impact you will have: Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion More ❯

a related data-focused role Strong hands-on experience with Azure data services, including: Azure Data Factory V2 Azure Data Lake Storage V2 Azure Databricks Azure Function Apps & Logic Apps Azure Stream Analytics Azure Resource Manager tools: Terraform, Azure Portal, Azure CLI, and Azure PowerShell Proficient in PySpark, Delta Lake More ❯

Cloud infrastructure, data stores connections, cloud functions concepts Experience in programming languages like Python, Java, or C# Experience in cloud data platforms like Snowflake, Databricks or Azure Synapse Good understanding of Data Modelling techniques Ideally, you'll also have Relevant academic background Participation in the opensource community Expertise in automation More ❯

Microsoft Power Apps Modelling and data science practices 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 Familiarity with continuous integration, continuous delivery, agile methodologies, and Azure DevOps. More ❯

you will have: You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the MIT segment. You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires … business plan. You will lead your team, customers, and partners to identify impactful Data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform. You will support the broader Data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional … of consumption-based, land, and expand sales models advantageous. Understanding how to identify important use cases and buying centres to increase the impact of Databricks for clients. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over More ❯

and documentation for data platforms. Continuously improving development standards and processes. What You Need to Have Solid experience with core Azure tech: Data Factory, Databricks, Data Lake, Azure SQL, Synapse, Data Catalog, Purview. Strong Python and SQL skills for data engineering. Familiarity with Azure databases like Synapse EDW, SQL Managed More ❯

Data Engineer - Leading Energy Company - London (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Company Overview: Join a dynamic team, a leading player in the energy sector, committed to innovation and sustainable solutions. Our client is seeking a talented Data Engineer to help More ❯

Data Engineer - Leading Energy Company - London (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Company Overview: Join a dynamic team, a leading player in the energy sector, committed to innovation and sustainable solutions. Our client are seeking a talented Data Engineer to help More ❯

Data Engineer - Leading Energy Company - London (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Company Overview: Join a dynamic team, a leading player in the energy sector, committed to innovation and sustainable solutions. Our client are seeking a talented Data Engineer to help More ❯

in a product team or domain. Expert fundamentals in multiple technologies and frameworks required such as Azure Data Lake, Azure Data Factory, Event Hubs, Databricks, PowerBI, DevOps, GIT, SQL, Python and PySpark. Excellent knowledge of development lifecycles. Ability to lead and work in a team, as well as being self More ❯

communication skills. Strong desire to learn and adapt to new technologies. Desirable experience: Data governance principles including Microsoft Purview Azure Infrastructure and Networking experience Databricks experience. Machine Learning and AI DevOps experience Power BI semantic modelling Nice to have certifications Microsoft Certified: Fabric Analytics Engineer Associate DP-203 Azure Data More ❯

communication skills. Strong desire to learn and adapt to new technologies. Desirable experience: Data governance principles including Microsoft Purview. Azure Infrastructure and Networking experience. Databricks experience. Machine Learning and AI. DevOps experience. Power BI semantic modelling. Nice to have certifications Microsoft Certified: Fabric Analytics Engineer Associate. DP-203 Azure Data More ❯

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 … the Manager, Field Engineering. The impact you will have: Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion More ❯

The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. … concepts to non-technical and technical audiences alike. Passion for collaboration, life-long learning, and driving business value through ML. Preferred Experience working with Databricks & Apache Spark to process large-scale distributed datasets. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast … Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and More ❯

and documentation for data platforms. Continuously improving development standards and processes. What You Need to Have Solid experience with core Azure tech: Data Factory, Databricks, Data Lake, Azure SQL, Synapse, Data Catalog, Purview. Strong Python and SQL skills for data engineering. Familiarity with Azure databases like Synapse EDW, SQL Managed More ❯

5+ years), ideally in senior or lead roles. Solid command of SQL and Python, with a proven track record in building solutions using Azure Databricks and Synapse Analytics. Proficiency in Microsoft Azure’s data and integration services, and experience working with APIs to enable cloud-based data flows. Strong experience More ❯

5+ years), ideally in senior or lead roles. Solid command of SQL and Python, with a proven track record in building solutions using Azure Databricks and Synapse Analytics. Proficiency in Microsoft Azure’s data and integration services, and experience working with APIs to enable cloud-based data flows. Strong experience More ❯

is beneficial Experience of designing and building data models using Data Analysis Expressions (DAX) Hands-on experience with Azure tools: Azure Data Factory, Synapse, Databricks, SQL, Data Lake, Power BI, Delta Lake, and Spark. Ability to design, build, and deploy interactive user interfaces for interrogating data Experience of Power Automate More ❯

growth and operational excellence. What are we looking for? Hands-on experience designing scalable data platforms in the cloud using Azure D&A stack, Databricks, and Azure Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools like Informatica, and scalable data More ❯

Bring: Extensive experience at a Microsoft Gold Partner or Advanced Specialised business . Expertise in Microsoft Azure Data & AI platforms (Azure Data Factory, Synapse, Databricks and SQL). Strong knowledge of data engineering principles , including data modeling, ETL, and real-time processing. Experience with analytics solutions (Power BI, Microsoft Fabric More ❯