1 to 25 of 31 Permanent Databricks Jobs in Central London

Title: Databricks Architect Location: London, UK Work Mode: Onsite Experience: 10–15 Years (minimum 5+ years in Databricks) Employment Type: Full-time About the Role We are seeking a highly experienced Databricks Architect to lead the design, development, and optimization of scalable data platforms and advanced analytics solutions. This role … requires a deep understanding of Databricks Lakehouse architecture, big data engineering, cloud ecosystems, and enterprise data strategy. The ideal candidate will partner with business and technology leaders to deliver high-performance data systems that support analytics, AI/ML, and real-time insights. Key Responsibilities Architecture & Solution Design Architect ...

development of AI/ML solutions. * MLOps practices: CI/CD, model monitoring, retraining. * Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). * Generative AI features: embeddings, RAG, AI agents. * Clean, testable code with modern engineering practices. * Align with enterprise architecture and governance. * Collaborate with architects ...

reliability. Optimise data workflows for performance, cost efficiency, and maintainability using modern data-engineering tools and platforms (e.g., Azure Data Factory, AWS Data Pipeline, Databricks, Apache Spark). Support the integration of data into visualisation platforms and analytical environments (e.g., Power BI, ServiceNow). Ensure adherence to data governance, security ...

increasing exposure to technical leadership, client strategy, and people management. Access to 20 dedicated development days per year. Funded certifications in technologies like Snowflake, Databricks, AWS, and Azure. Hands-on leadership development, exposure to strategic projects, and collaboration with senior consultants. Role Details Contract Type: Permanent Salary ...

technologies in the Microsoft ecosystem (e.g., Azure ML, AI Foundry, Copilot 365, OpenAI Service). Desirable: Working understanding of Azure Data Factory, Azure Databricks and Azure Data Lake. Familiarity with Microsoft Purview. Proven success in a technical/functional Pre-sales role within a consulting environment. The Person: Strong commercial ...

Title: Azure Databricks Data Engineer Primary skills: Advanced SQL, Azure Databricks, Azure Data Factory, Azure Datalake. Secondary skills: Azure SQL, PySpark, Azure Synapse. Experience: 10+ Years of Experience Hybrid - 3 Days/Week onsite is MUST About the job We are looking for an experienced Databricks Data Engineer to design … develop, and manage data pipelines using Azure services such as Databricks, Data Factory, and Datalake. The role involves building scalable ETL solutions, collaborating with cross-functional teams, and processing large volumes of data. You will work closely with business and technical teams to deliver robust data models and transformations ...

techniques and processes. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with PyTorch, Scikit-learn, Go, JavaScript, Azure Pipelines, and Databricks is desirable, but not essential. Experience of participation in software engineering efforts for AI-enabled SaaS products is desirable, but not essential. Why Join ...

strategy to exceed revenue objectives Working on Microsoft Azure PaaS and IaaS, specifically: App Services, Azure SQL Database, SQL Server, Storage, Synapse Analytics, Purview, Databricks, Azure data Factory, Azure data lake. Understand which Azure data focused components to use for which purpose Your Skills and Experience Our projects are varied ...

across the entire data ecosystem. 🚀Essential tech skills include proficiency in Python, Spark, and Airflow , alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery . 🚀Familiarity with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. 🚀Experience with one or more ...

3+ years experience in a commercially driven customer environment Strong Python skills and solid grounding in AI/ML fundamentals. Experience with some of Databricks, LangChain , vector databases , or LLM orchestration tools . Knowledge of RAG pipelines , transformers , and modern AI architectures . Understanding of deployment or MLOps best practices ...

mentality. You must have been a Developer before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise in maintaining ...

corporate banking preferred) Experience supporting regulatory reporting data environments Strong analytical and problem-solving skills Desirable ECB onboarding/AQR reporting exposure Experience with Databricks Exposure to middleware technologies (Kafka, MQ, IIB) The Role Develop and maintain ETL pipelines using DataStage Build and optimise SQL-based data transformations Design ...

engineering. With a focus on intuitive front-end creation, robust backend Frameworks and strong data design Lead, a globally dispersed team Experience with AWS, Databricks, DBT, PySpark, React, JavaScript Terraform. Experience with AI/ML/Gen AI/LLM What you need to do now If you're interested ...

software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would ...

related roles within financial services or global markets Demonstrated experience in stakeholder management and business analysis Strong understanding of data technologies (e.g., KDB, Databricks) and their application to financial markets Experience in data modelling and governance frameworks Proven ability to translate business requirements into technical solutions Excellent communication and teamwork ...

data platform patterns. Strong experience with cloud-based analytical platforms such as Snowflake or equivalent modern data platforms (e.g. Fabric, Databricks) and understanding where they fit within a wider solution. Practical experience designing and implementing data pipelines, covering ingestion, transformation, modelling, and consumption using SQL-first and cloud-native approaches. ...

into scalable solutions What you bring: Deep experience with Microsoft Azure , particularly around data services Proven track record delivering with tools such as Fabric , Databricks or Snowflake Proficiency in SQL, Python, and modern data engineering patterns Leadership experience within engineering or delivery teams A consultancy mindset - adaptable, curious, and client ...

deals? In this role, you’ll sell into finance, insurance, retail/eCommerce, and professional services backed by powerhouse partners like AWS, Azure, GCP, Databricks, and Snowflake while shaping and closing complex, high-impact service engagements. With uncapped earnings, double OTE, and soaring demand for AI, cloud, and modernisation services ...

Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). • Model Deployment & Management: Implement robust MLOps practices for continuous integration, continuous delivery (CI/CD), monitoring, and retraining of machine learning … model registration, deployment (AKS, ACI), and monitoring. • Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics. • Solid understanding of software engineering principles, including version control (Git), testing, and code review. • Experience with containerization technologies (Docker, Kubernetes). ...

based data technologies. Role Overview As a Data Platform Engineer, you will design, build, and maintain scalable cloud-based data infrastructure using Azure and Databricks . Youll play a key role in ensuring that data pipelines, architecture, and analytics environments are reliable, performant, and secure. Key Responsibilities Platform Development & Maintenance … Design and implement data pipelines using Azure Data Factory , Databricks , and related Azure services. Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability of data services. Infrastructure & Architecture Architect and deploy scalable data lake solutions using Azure Data ...

Databricks Data Engineer London | Senior Manager | Up to £100K + Bonus Ready to take your data engineering career to the next level? Join a global consultancy on a major transformation project within the insurance domain. This is your chance to work with cutting-edge technologies, influence strategic decisions, and make … strategic decision-making and innovation in the insurance domain. What We're Looking For Proven Data Engineer with 5+ years of hands-on Databricks experience. Insurance domain expertise - essential. Strong background in data management, ETL, and SQL. Familiarity with Azure and Microsoft BI tools. Immediate start No VISA sponsorship. This ...

Data Engineer candidate will have the chance to make a significant impact in designing the platform and working on cutting-edge technologies like Databricks and Snowflake in the heart of a leading global Investment Banks’ front-office. This is a rare greenfield role that offers the opportunity to solve … many different sectors. What We’re Looking For 5 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets environment. Previous experience in implementing best practices ...

Data Engineer candidate will have the chance to make a significant impact in designing the platform and working on cutting-edge technologies like Databricks and Snowflake in the heart of a leading global Investment Banks’ front-office. This is a rare greenfield role that offers the opportunity to solve … many different sectors. What We’re Looking For 10 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets environment. Previous experience in implementing best practices ...

Data Engineering Technical Lead Global Investment Bank London - Hybrid Permanent - Excellent Package + Benefits We are working with one of the world's leading banking groups, who we have partnered with for 15 years. We ...

experience managing a squad of 47 Data Engineers. Youll bring solid SQL skills, cloud expertise (preferably Azure), and familiarity with tools such as Snowflake, Databricks, ADF, Python, and GenAI. Youll manage a squad of engineers and play a key role in delivering scalable, modern data solutions as part … Services experience is a plus. Experience managing Data Engineering teams Strong SQL and cloud skills (Azure preferred) Familiar with modern data tools (e.g. Snowflake, Databricks, ADF, Python) Track record of building/maintaining robust data pipelines Agile experience Financial Services experience is a bonus If you are an experienced Data ...