1,276 to 1,300 of 1,816 Databricks Jobs in the UK

Databricks Inc. is seeking a high‐impact leader to head the Enterprise Named and Strategic Account Executives in UKI. You will coach a team to exceed quotas, craft territory plans, and deliver accurate revenue forecasts while expanding existing business and driving customer value. You will partner with cross‐functional teams ...

Databricks is seeking a Senior Executive to lead our Energy industry go-to-market strategy across EMEA. This role involves shaping how we engage with top energy companies, building relationships, and driving initiatives that harness data and AI for business value. The ideal candidate will bring over 10 years ...

description: Develop and Manage the SAP Data & Analytics portfolio which includes Atos differentiated offerings for SAP Business Data Cloud, DataSphere, SAP Analytics Cloud, Databricks, Snowflake as well as offerings for Data Management etc. Key Responsibilities: Actively promote the offerings into the GEOs. Run regular sales enablement workshops. Assist with ...

sales experience with 100%+ quota attainment. Strong consultative selling skills and C-level credibility. Background in high-growth, MEDDIC-style organisations (e.g. MongoDB, Databricks, Snowflake, Zscaler, Palantir or other fast-scaling SaaS businesses). If you feel you have the relevant experience please reply to this advert or email ...

early-stage fund alongside angels from Shopify, Nike, UiPath and Apple. The product has already been validated with sellers and sales teams at UiPath, Databricks, Dell and Snowflake , with a Snowflake Accelerator partnership being formalised. They're targeting £300-500k ARR by early 2027 , before pushing beyond ...

early-stage fund alongside angels from Shopify, Nike, UiPath and Apple. The product has already been validated with sellers and sales teams at UiPath, Databricks, Dell and Snowflake , with a Snowflake Accelerator partnership being formalised. They're targeting £300-500k ARR by early 2027 , before pushing beyond ...

Computer Science or other technical discipline 3+ years of experience in a similar information security role Working experience with cloud offerings such as AWS, Databricks, etc Technical understanding of a range of enterprise IT and cloud-based architectures and technologies, such as networking, server infrastructure, operating systems, web applications, databases ...

scalable pipelines and platforms that power reporting and analytics across the whole organisation. You'll be working hands-on with Microsoft Fabric and Databricks, building out a new Lakehouse architecture and introducing data products that people across the business can actually trust and use. Essential Skills & Experience: Hands-on experience … with Databricks and Microsoft Fabric Experience building and running production-grade pipelines Strong PySpark and SQL skills Experience with Delta Lake and Lakehouse architectures Good grasp of data modelling, orchestration and workflow automation Comfortable working with structured and semi-structured data (Parquet, JSON, CSV) Solid understanding of CI/ ...

Title Senior Data Engineer Job Description Summary Senior Data Engineer | Databricks | Agentic AI | EMEA & APAC We are the team leading the data transformation of our EMEA and APAC business, and we are hiring a Senior Data Engineer to help build what comes next. Our Databricks-native Lakehouse is established … across a breadth of domains, and shaping how we win in the age of AI. Job Description Role: Senior Data Engineer Senior Data Engineer | Databricks | Agentic AI | EMEA & APAC We are the team leading the data transformation of our EMEA and APAC business, and we are hiring a Senior Data ...

most complex business issues, let’s talk. What you’ll do Design, development, and delivery of enterprise‐grade analytics solutions based on Azure and Databricks technologies Evangelise and evolve best practices for our clients and our team including mentoring your colleagues, supporting their personal development Constantly developing technical skills … latest Azure and Databricks technologies – achieving & maintaining relevant certifications Working directly with high‐profile clients across a variety of sectors to understand their requirements and present solutions to customer sponsors Skills and experiences Demonstrable end‐to‐end experience in Data Engineering, including large‐scale projects Experience in working with ...

Designing, building, and maintaining scalable data pipelines using Python and Scala , leveraging Spark and PySpark within an Azure ecosystem (including Azure Data Factory and Databricks ). Developing and maintaining reusable data engineering templates, frameworks, and tooling to support data teams across ASOS. Driving standardisation and best practices across data ingestion … where people can grow, create, and succeed. Qualifications Strong experience as a Data Engineer building scalable data platforms Deep expertise in Azure (ADF, ADLS, Databricks) Proficiency in Python and/or Scala (PySpark/Spark) for large‐scale data processing Hands‐on experience with Databricks and Delta Lake Solid understanding ...

data processing and manipulation SQL and no SQL database technologies e.g. Azure SQL or SQL Server, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB Databricks and Azure DevOps ELT/ETL tools such as Azure Data Factory and Databricks Over time you will help to build and configure data ingestion ...

decisions and run high quality experiments at scale. Job DescriptionWhat You'll Be Doing Behavioural Data Modelling Build and extend core behavioural models in Databricks that describe how customers interact with ASOS across web and app Design and maintain: Session logic Funnels and journeys Attribution logic Feature usage and engagement … teams and analytics Data Quality & Observability In collaboration with the teams software engineers implement end-to-end data quality checks across frontend ingestion Analytics Databricks Monitor and alert on: Schema changes and validation failures Event completeness and coverage Cardinality drift Volume anomalies Identity and user stitching integrity Proactively identify ...

strategic decision-making across the Elizabeth Line. Design, develop, and maintain advanced data reporting and analytics solutions using tools such as Power BI, Azure Databricks, and Python, ensuring scalability, robustness, and alignment with future needs. Develop automated workflows and applications using Power Automate and Power Apps to streamline business processes … within Power Platform and Azure environments. Act as the technical authority and subject matter expert for advanced analytics and data engineering solutions (including Azure, Databricks and Python), providing guidance on architecture, standards and continuous improvement to ensure solutions are scalable, robust and aligned to future need. Act as a trusted ...

facing products, reporting, artificial intelligence, machine learning and operational activities Co-author data governance practices covering metadata, data quality, lineage, privacy and compliance within Databricks Unity Catalog Review solution designs to ensure architectural alignment, reduce risk, eliminate duplication and maximise reusability at an efficient scale Establish appropriate guardrails … event-driven, medallion and big data architectures Advanced data modelling expertise, with the ability to apply industry reference models where appropriate Strong experience with Databricks and an understanding of Azure cloud data platforms Experience supporting or managing long-term data migration projects between bespoke or legacy systems Knowledge of data ...

needs and translate them into clear, deliverable requirements Design, build and maintain semantic models, datasets and reporting solutions using Power BI, paginated reports and Databricks Improve report and dataset performance by reviewing data models, DAX calculations, queries and refresh approaches Apply data validation, reconciliation and testing to ensure analytics outputs … technical audiences Experience with AI-assisted development tools and copilots to improve productivity and delivery outcomes is advantageous Familiarity with Tabular Editor and Databricks is desirable Familiarity with specialty (re)insurance or Lloyd’s market data such as bordereaux, delegated authority, underwriting and claims is advantageous Core Competencies Demonstrates expertise ...

/Bronze, Silver & Gold patterns Delta tables SQL Azure Git/source control CI/CD Testing, monitoring and data quality Experience with Azure Databricks is particularly relevant and transfers well into what the team is building within Fabric. You don't necessarily need commercial Fabric experience … worked in a modern Databricks/Spark/Python engineering environment. Equally, we're open to strong Python Data Engineers who have built production-grade data solutions through code and are looking to move deeper into PySpark, distributed processing and Fabric. What makes this different? The business isn't simply ...

mandatory) Employment Type: Permanent | Fixed-Term Contract | Contract (Inside IR35) Start Date: Immediate Key Responsibilities Lead the architecture, design, and implementation of Azure and Databricks-based data platforms. Provide technical leadership, mentoring, and guidance to engineering teams. Collaborate with business and technical stakeholders to define platform roadmaps and best practices. … using Terraform and Azure services. Support strategic decision-making by aligning platform capabilities with business objectives. Essential Skills & Experience Strong hands-on experience with Databricks development and platform architecture. Good understanding of Azure infrastructure, networking, and Terraform. Proven experience in solution architecture, technical design, and stakeholder management. Experience leading technical ...

deploying production-ready AI and machine learning solutions Developing LLM-powered applications using RAG, vector search, retrievers and prompt orchestration Designing data pipelines using Databricks, Python, PySpark and SQL Evaluating and benchmarking AI models for quality, reliability and business impact Applying AutoML to accelerate traditional machine learning use cases Establishing … engineering standards What we’re looking for: 5+ years’ experience across AI, machine learning or data engineering Strong commercial experience with Python and Databricks Solid SQL, ETL/ELT and data pipeline experience Experience building and deploying LLM applications Knowledge of traditional machine learning and AutoML Experience taking ...

eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Scale and maintain a managed AWS Databricks platform, and provides engineering and operational support for the platform to Application/Engineering teams. Drives reuse-first adoption of enterprise-authorized AI capabilities within … reinforce organization‐level practices for reviewing AI‐assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes. Extensive experience with AWS, Databricks, or Snowflake platform administration and engineering support is a MUST. Experience with monitoring tools, automation frameworks, and CI/CD pipelines. Proficient in Python application ...

domain expertise and demonstrable experience with cloud-based services for data analytics and AI on the Microsoft Cloud (e.g. Azure ML, AI Foundry, Azure Databricks ) Experience shaping proof of concepts and evolve designs to productionised solutions with appropriate AI governance incorporating MLOps and LLMOps to manage risk and auditability Experience … role design, systems integration, and evaluation of architectures. Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks, data life cycle management, medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics) #J ...

design, build, and maintain scalable, secure, and high-performing cloud infrastructure on Microsoft Azure. This role is heavily focused on enabling data platforms—including Databricks, Event Hubs, and Azure Storage—through infrastructure-as-code, automation, and modern DevOps practices. You will work closely with engineering, data, and platform teams … Infrastructure-as-Code).Build and maintain CI/CD pipelines for applications and data platforms. Deploy and support Azure-native data services including Azure Databricks, Azure Event Hubs, Azure Storage (ADLS Gen2, Blob)Manage and optimize SQL-based systems (Azure SQL/PostgreSQL/related platforms).Automate operational tasks using ...

+ package Active SC or DV Clearance required 2-stage virtual interview process Experience required in Python, SQL, Spark, Databricks and Customer Consultancy We're working with a fast-growing, high-performing technical consultancy seeking an experienced Data Engineer to join a team specialising in data, AI and software solutions … Experience designing and building data-intensive applications and pipelines Strong programming skills in Python and SQL or similar Experience with technologies such as Spark, Databricks, AWS, Azure, GCP and/or Airflow Strong focus on data quality, testing and reliability Solid software engineering fundamentals and high engineering standards Strong communication ...

from diverse data sources and formats Hands‐on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross‐functional stakeholders, with strong communication skills for both technical and non‐technical audiences Awareness … support highly scalable data engineering solutions that power Moody’s next‐generation digital content platform. Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades Collaborate with Moody’s technical teams ...

deliver reusable technical assets — reference architectures, POV frameworks, or architectural playbooks — at scale.Fluency across the modern data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.Hands … trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration and MDM, alongside Snowflake, Databricks, BigQuery, and Redshift.AI & Agentic Architecture Foundational ML concepts, data preparation, Python, applied AI, Generative AI, prompt engineering, retrieval-augmented generation (RAG), vector stores, and agentic architectures. Hands ...