1,051 to 1,075 of 1,819 Databricks Jobs in the UK

hands-on architect. Cloud & Platform Mastery: Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake). Data Governance & Compliance: Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing … Alignment: Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely. Pre-Sales & Data Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution ...

hands-on architect. Cloud & Platform Mastery: Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake). Data Governance & Compliance: Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing … Alignment: Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely. Pre-Sales & Data Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution ...

insights to our clients and help them to understand the risks and key drivers for their business using software such as Python, R, Azure, Databricks/other ML services, SQL, Tableau and Power BI. Development and delivery of new and innovative data science and machine learning tools and solutions … best practices. E.g. test-driven development, smart data structure and algorithm selection. Experience in using cloud environment (e.g. Azure, AWS). Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services. Experience using Excel, SQL, Power BI, Tableau. Experience using Docker and Kubernetes. Experience working ...

type: Permanent/Full-time Sector and subsector: IT | Data Engineer Salary: Competitive salary Platform Architecture & Engineering responsibilities: Design and implement scalable Databricks Lakehouse platforms on AWS and/or Azure aligned to client requirements Architect end-to-end data platforms including ingestion, storage (Delta Lake), processing, and consumption layers … data governance (Unity Catalog), and access controls Define environment strategies (dev/test/prod), CI/CD pipelines, and release processes for Databricks deployments Implement monitoring, logging, cost optimisation, and performance tuning across the platform Design and implement data pipelines using Delta Live Tables, Auto Loader, and Databricks Workflows ...

Cushman & Wakefield in London is hiring a Senior Data Engineer to lead the data transformation across EMEA/APAC. You will work on Databricks-based Lakehouse, design data models, and build agentic AI workflows that scale. The role emphasizes hands-on development, production troubleshooting, and collaboration with analysts and engineers … raise data quality. The ideal candidate has 6+ years in data engineering, strong SQL, Python/PySpark, and experience with Databricks and Azure, with a passion #J-18808-Ljbffr ...

architectures and take ownership from data foundations through to AI‐driven outcomes. You will work within the Data Platforms team, at the forefront of Databricks Lakehouse, Azure AI, and emerging agentic frameworks, helping clients modernise and transform their data and AI capabilities. Please Note Security Clearence: To be successfully appointed … about your citizenship in the application process. The Focus Of Your Role You will shape next‐generation data and AI platforms by combining deep Databricks expertise with modern engineering practices. Using tools such as VS Code and AI‐assisted development, you will rapidly design, build, and scale enterprise solutions while ...

architectures and take ownership from data foundations through to AI-driven outcomes. You will work within the Data Platforms team, at the forefront of Databricks Lakehouse, Azure AI, and emerging agentic frameworks, helping clients modernise and transform their data and AI capabilities. PLEASE NOTE:Security Clearence: To be successfully appointed … about your citizenship in the application process. The Focus Of Your Role You will shape next-generation data and AI platforms by combining deep Databricks expertise with modern engineering practices. Using tools such as VS Code and AI-assisted development, you will rapidly design, build, and scale enterprise solutions while ...

excellence. Together, we'll create solutions that make a difference. Job Responsibilities Design and deliver scalable, secure, and reliable data pipelines using Python and Databricks to support enterprise-level business needs. Develop and maintain data models and architectures that enable high-quality analytics and reporting across multiple business functions. Drive … Formal training or certification on data engineering concepts and advanced applied experience. Hands-on experience developing and maintaining data pipelines using Python. Proficiency with Databricks for large-scale data processing and analytics. Experience working with both relational and NoSQL databases. Proficiency across the full data lifecycle, including ingestion, transformation, storage ...

databases Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3 years applied experience. Good working knowledge of AWS, Databricks, and Python. Experience across the data lifecycle. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases. Significant experience with statistical data analysis ...

IDAs a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally … adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet ...

team culture — one built on excellence, collaboration, and continuous improvement. Job responsibilities Develop workflows and extract, load, and transform pipelines using Python and Databricks to support scalable and reliable data solutions Support the review of controls to ensure sufficient protection of enterprise data across the data lifecycle Implement data security ...

semantic relationships; and methodologies for validation and processing of data against contracts. Enablement: Establish a stable data serving layer for Grafana and Analytics (via Databricks/MLflow), unblocking the Data Science team. Mentorship: Upskill the existing team in good practices (dbt, git workflows, SQL optimisation, data modelling). Experience & Background … missing data, spiky load, variable schemas, etc.) would be beneficial. Skills Advanced Data Engineering: Proven experience building data platforms on Azure. You know Databricks inside out – not just how to write a notebook, but how to architect a Lakehouse, manage clusters, and optimise costs. Data Modelling Proficiency: You understand that ...

Engineer to build, maintain, and optimise robust data pipelines. This role develops efficient ETL/ELT workflows using both Microsoft Fabric tools and the Databricks Lakehouse Platform to deliver clean, production-ready data for enterprise analytics. Role Requirements Strong proficiency in PySpark, Databricks SQL, T-SQL, and handling Delta Lake … formats Hands-on experience building production pipelines inside Databricks workspaces and Fabric capacities Practical knowledge of structural data formats including Parquet, JSON, and CSV Experience with orchestration tools, scheduling dependencies, and error handling in a cloud environment Familiarity with unit testing data pipelines and implementing automated data quality checks Role ...

Connect to your Industry Do you want to lead some of the UK's most strategic and ambitious Data & AI transformation opportunities, powered by Databricks? Technology & Transformation helps organisations unlock the full value of their data and AI investments by bringing together business strategy, industry expertise, and leading technology. … Databricks Client Solution Lead, you'll work with senior client stakeholders to understand their most complex challenges, shape compelling Data & AI transformation programmes, define the technology strategies and target architectures required to deliver measurable business outcomes. Working at the intersection of our clients, Deloitte, and Databricks, you'll combine deep ...

Platform Specialist Solutions Architect (SSA), you will serve as a trusted technical advisor, guiding enterprise customers through the architecture, administration, and security of their Databricks deployments on their cloud of choice (AWS, Azure, or GCP). You combine deep technical expertise with strategic thinking to position Databricks as the foundation … your customers' data and AI strategy. The Impact You Will HaveGuide strategic customers through the full lifecycle of Databricks on their cloud platform, including platform administration from initial architectural design to production deploymentArchitect secure, scalable enterprise deployments that satisfy complex cloud networking (virtual networks, private connectivity), identity (cloud ...

technology leadership, you'll define the architectural vision while driving the implementation of a modern Lakehouse and Data Warehouse environment built on Microsoft and Databricks technologies. Responsibilities: Designing enterprise-scale data warehouse and Lakehouse architectures Developing data platform strategies using Microsoft Fabric OneLake and Databricks Building scalable data models … translate strategic objectives into technical solutions Requirements: Enterprise data warehouse architecture and design Microsoft Fabric, Azure Data Platform technologies and modern Lakehouse architectures Databricks, Unity Catalog and Delta Lake PySpark, Databricks, SQL Medallion Architecture implementation Data modelling approaches including Star Schema and Data Vault Data governance, security and access management ...

Moody’s is seeking a Databricks Solution Engineer to design, build, and support scalable data, analytics, and AI solutions on the Databricks Lakehouse Platform. You will work with enterprise stakeholders to translate requirements into scalable, cost-efficient data products. The role requires 6+ years in data/analytics engineering, 4+ … years on Databricks, and strong Spark, SQL, Python skills. You will integrate Salesforce, Power BI, Snowflake, and Fabric, while advancing CI/CD, governance, and #J-18808-Ljbffr ...

Location: London, UK (5 Days/Week Onsite) Type: Contract Inside IR35 Exp: 5 to 10 Years A Python + React + SQL + Databricks developer role blends backend data engineering with frontend application development, requiring strong coding skills in Python, React. . click apply for full job details ...

days per week onsite in London. You'll be responsible for: Developing AI, GenAI and Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow click apply for full job details ...

engineering, product, design, digital services and data to deliver a cohesive digital estate. The role requires transformation leadership, cloud data platform expertise (Azure/Databricks) and governance with UK GDPR. #J-18808-Ljbffr ...

DeepL ищет специалиста по данным для построения и эволюции облачной инфраструктуры данных в гибридном формате. Вы будете развивать lakehouse на базе Databricks, работать с Kafka и развивать инструменты для data-инженеров. Кандидат должен владеть Terraform/Terragrunt, Docker/Kubernetes, Python на продакшн-уровне и фокусироваться на масштабировании платформы ...

vision for the Data & AI platform estate. You will lead solution design, influence stakeholders, and drive architecture across multiple initiatives while partnering with Microsoft, Databricks, and technology communities. The role focuses on Data, Analytics, and AI platforms, with enterprise-scale data and AI solution delivery, governance, and modernisation ...

engineering, aligning data solutions with compliance standards. The role involves creating architecture artifacts, designing scalable data solutions with cloud technologies like Snowflake and Databricks, and collaborating with solution architects. This hybrid position offers a salary of £450 - £500 per day, commensurate with experience. #J-18808-Ljbffr ...

Databricks seeks a senior technologist to architect production-grade ML and AI workloads, spanning end-to-end pipelines, training/inference optimization, and MLOps lifecycle management with cloud-native integration. You will lead GenAI initiatives, advise solution architects during pre-sales and post-sales cycles, influence the AI roadmap ...

testing for client data platform deployments in a fast-moving AI-enabled environment. You will design, run, and govern structured test programs across Databricks pipelines and analytics datasets, ensuring accuracy, completeness, and fit for purpose. You will work with AI-assisted tooling, collaborate with Data Engineers, UAT teams, and client ...