976 to 1,000 of 1,282 Databricks Jobs in London

Data Engineer - Databricks London - Hybrid (3 days onsite) | 6 Month Contract We're looking for a hands-on Data Engineer to help build scalable data pipelines and support the migration of an enterprise data platform into the cloud. This is a development-focused position rather than a Lead role … requires someone comfortable working independently. Key skills: Databricks Python SQL Oracle Data pipeline development Cloud/data migration experience Enterprise data environments ...

Primus Connect is seeking a Databricks Architect/Champion in the UK, with hybrid work options in Manchester or London. The role offers up to £130k (DOE) plus bonus and benefits and focuses on designing enterprise Databricks platforms and driving data strategy for diverse clients. You will lead Lakehouse implementations … across Azure, AWS and GCP, mentor engineers, and shape governance, security and cost optimisation practices while staying at the forefront of Databricks innovations. #J-18808-Ljbffr ...

analytics team of eight, working closely with senior leadership. The team has already laid the foundations for a modern data platform using Azure and Databricks and is now focused on building out scalable ETL processes, integrating AI tools, and delivering bespoke analytics solutions across the organisation. THE ROLE … Data Engineer, you'll play a pivotal role in designing and implementing robust data pipelines, supporting the migration from legacy Azure systems to Databricks, and working closely with stakeholders to deliver tailored data solutions. This role combines hands-on development with collaborative architecture design, and offers the opportunity to contribute ...

Machine Learning, AI, LLM, GenAIMissionAs a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade … applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader.Impact you will haveArchitecting Workloads: Design and implement production-level ML and AI workloads ...

Lead and oversee multiple audit data analytics engagements, ensuring quality, timeliness and budget control Design and implement data analytics solutions using Databricks, SQL, Python and Power BI Coach and develop managers and more junior team members through hands-on support and formal reviews Engage with Directors, Partners and clients … external audit or regulated assurance environments Ability to lead end-to-end engagements, including planning, risk management, delivery and review Hands-on experience with Databricks, SQL, Python and Power BI Ability to coach others and review technical outputs to a high quality standard Experience managing senior stakeholders and explaining complex ...

solution architects while contributing hands-on to the design and delivery of end-to-end data platform solutions across Pandora’s Azure Synapse and Databricks environments. This is a dual role combining architectural leadership with people management. You will lead a small, experienced team of solution and data architects, setting … close to engineering teams. Architecture accountabilitiesSetting architectural direction across the data platform, ensuring consistency and coherence of solution designs across both Azure Synapse and Databricks environments. Reviewing and providing feedback on technical designs from solution architects and lead engineers, ensuring adherence to data platform standards and best practices. Ensuring solutions ...

solution architects while contributing hands‐on to the design and delivery of end‐to‐end data platform solutions across Pandora’s Azure Synapse and Databricks environments. This is a dual role combining architectural leadership with people management. You will lead a small, experienced team of solution and data architects, setting … engineering teams. Architecture accountabilities Setting architectural direction across the data platform, ensuring consistency and coherence of solution designs across both Azure Synapse and Databricks environments. Reviewing and providing feedback on technical designs from solution architects and lead engineers, ensuring adherence to data platform standards and best practices. Ensuring solutions balance ...

Deloitte is expanding its AI & Data Engineering practice and seeks a Databricks Data & AI Engineer to design, build and optimise scalable data solutions on the Databricks Platform, enabling advanced analytics, machine learning and AI. Working with architects, engineers and AI specialists, you will help clients modernise data platforms and create ...

major financial institutions. You’ll join a small, high‐impact data team as we modernise our estate from Python/MySQL into a Databricks + Snowflake ecosystem built for scale, auditability and reliability. The Role Build & optimise pipelines in Databricks, PySpark, Python, Kafka Modernise legacy systems into a scalable, auditable ...

offre Objectif de la mission Recherche d'un ingénieur en ingénierie des données senior avec une solide expérience sur les plateformes Azure (Databricks, ADF, Synapse), Python, SQL et Power BI. Missions principales Gestion de données dans le cadre de projets d'ingénierie des données Développement et maintenance de solutions basées … Azure (Databricks, ADF, Synapse) Intégration et gestion de données avec Python, SQL et Power BI Profil recherché Expérience solide en ingénierie des données et/ou développement sur Azure #J-18808-Ljbffr ...

seeks an Azure Databricks Data Engineer to design, develop and deliver cloud-based data integration and analytics solutions for our Insurance portfolio in London. You will build scalable pipelines, optimise performance and ensure data quality and governance, working across data engineering, modelling and transformation initiatives in a hands-on role. … This position offers a hybrid working model with exposure to cutting-edge Azure and Databricks technologies and collaboration with senior data #J-18808-Ljbffr ...

data ownership, stewardship, policies, and operating models aligned to business and regulatory needsConfigure and integrate Purview with Azure data platforms, Microsoft Fabric, Power BI, Databricks, other data sources, and MDM tools, ensuring governance is embedded within delivery pipelinesSupport the implementation and governance of Databricks Unity Catalog, aligning technical controls with ...

consulting team. TheLeadPlatform Engineer contributes to CF’s commercial activities in a focused way: providing technicalexpertiseto support partnership opportunities with platform vendors such as Databricks and with data and researchorganisationsandcontributing technical input to proposals where platform architecture or infrastructure design is relevant. Responsibilities Platform architecture and design Produce detailed technical … designs for CF’s cloud infrastructure (OCI, Databricks) and NHS data pipelines, working within the strategic architecture set by the Director Define integration patterns, data flowdesignsandcomponentspecifications that the data engineering team implements Make implementation-level technology decisions (tooling, frameworks, configuration approaches) within the Director’s strategic technology selections Design scalable ...

processes that keep our platform running smoothly and efficiently. Responsibilities: Own the day-to-day stability and performance of our Azure data platform (Synapse, Databricks, ADF, Power BI). Act as the primary point of contact for incidents and outages — driving resolution, root cause analysis, and clear stakeholder communication. Define … triage, root cause analysis, escalation handling, and defining/enforcing SLAs with cross-functional teams. Azure Data Stack: Hands-on experience with Azure Synapse, Databricks, ADF, and Power BI, with the ability to guide best practices and optimisations. Automation & CI/CD: Familiar with CI/CD processes and automation ...

PaaS components, including Azure DevOps, Vault, and other security and configuration services (AKS experience is beneficial) Integrate and optimize data processing frameworks with Spark, Databricks, or Cloudera platform (Hue, Hive, HDFS) Support ETL pipelines built for master data management, customer profiles, and consent management workflows Ensure environments are stable, secure … Previous experience working on data‐driven projects and master data management solutions Nice to Have Skills Hands‐on experience with Azure Data Factory and Databricks for advanced data processing Knowledge of AKS (Azure Kubernetes Services) for containerised workloads Background in development using Java, C#, or JavaScript for automation or service ...

/or industry environment Technical Skills You’ll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you’ve held … GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. ...

time Sector and subsector: IT | Test & QA Salary: Competitive salary You will own the quality assurance of Sagacity's client data platform deployments — the Databricks Lakehouse pipelines, gold-layer views, and analytics datasets that drive marketing, billing, credit and debt outcomes for our clients across financial services, retail, energy, telecoms … volume checks, data quality rules, and migration parity — using SPHERE's YAML-driven test framework Investigate test failures systematically: trace root causes through the Databricks Lakehouse stack (bronze → silver → gold), distinguish pipeline bugs from data issues, and produce clear, evidenced findings for the development team Manage QA work items ...

transformation, troubleshooting, and maintaining the data platform. Proficiency in both SQL and NoSQL databases. Hands‐on experience with Azure resources such as ADLS, Synapse, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, and Azure Functions. First 6 months: Lead the Council’s data modernisation programme that is looking … data platform. Proficiency in both SQL and NoSQL databases is essential, along with hands‐on experience with Azure resources such as ADLS, Synapse, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, and Azure Functions. You should be skilled in data modelling, ETL processes and SQL‐based analytics, and have ...

/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held … GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading ...

packaging transformation initiatives. Enable the measurement of realised price uplift, pricing adoption, discount effectiveness, and commercial outcomes. Design scalable pricing analytics solutions within Databricks and Power BI environments. Develop governance and reporting frameworks that support executive and board-level decision-making. Key Responsibilities Pricing Data Design and maintain enterprise pricing … translate complex data into meaningful business outcomes. Essential Experience Proven experience designing and managing pricing, revenue, or commercial data architectures. Strong expertise in: Databricks Power BI Salesforce CPQ platforms Experience working within a SaaS or subscription-based business environment. Strong understanding of pricing strategies, discounting, renewals, and revenue performance metrics. ...

stakeholders. Enable self-service analytics for partners through well-designed reporting tools. Data Management & Tooling Work with large-scale datasets using modern platforms (e.g., Databricks, Spark, SQL-based systems). Ensure high standards for data quality, metric consistency, and instrumentation reliability. Collaborate with engineering to improve logging, tracking, and observability … Python for large-scale data analysis Advanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn) Experience working with Databricks or similar large-scale data platforms Excellent understanding of experimentation design, A/B testing, and statistical analysis Experience defining and analyzing search/retrieval ...

builds and governs the data foundation that powers the business. You'll work within our stack — Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks — helping move data reliably and securely from source to decision-ready output.You'll implement features and fixes against a given design, handle known classes … root-causing pipeline issues independently before escalating Experience with workflow orchestration tools (Airflow or similar) and a cloud data warehouse/lakehouse (Snowflake, Databricks, or similar) Solid understanding of data pipeline concepts: idempotency, schema evolution, backfills, and data quality/testing Experience giving substantive code review feedback, not just style ...

intersection of software engineering, applied AI, and technical leadership, turning the latest LLM capabilities into reliable, production-grade systems built on our Azure and Databricks platform. As a senior member of the team, you will not only build high-quality AI solutions, but also help shape technical direction, guide architecture … Hands-on experience with Azure AI Search or other vector/hybrid search solutions, including vector search, hybrid search, and retrieval evaluation. Experience with Databricks and PySpark for large-scale data processing. Experience designing evaluation frameworks for LLM systems, including offline metrics, hallucination detection, and production monitoring. Experience implementing responsible ...

technical and business stakeholders.Enable self-service analytics for partners through well-designed reporting tools.Data Management & ToolingWork with large-scale datasets using modern platforms (e.g., Databricks, Spark, SQL-based systems).Ensure high standards for data quality, metric consistency, and instrumentation reliability.Collaborate with engineering to improve logging, tracking, and observability of search … Python for large-scale data analysisAdvanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn)Experience working with Databricks or similar large-scale data platformsExcellent understanding of experimentation design, A/B testing, and statistical analysisExperience defining and analyzing search/retrieval metrics (e.g., NDCG ...

quality analytics solutions to clients in collaboration with Product, Research, Architecture, and Sales teams.Architect and implement cloud-native solutions leveraging platforms such as Azure, Databricks, and Snowflake.Extend and support a multi-cloud and hybrid cloud platform for Analytics workloads.Drive agile engineering practices, including CI/CD, DevSecOps, MLOps/LLMOps … resilient, distributed applications.Proven experience building and delivering API-driven, cloud-native, distributed systems.Hands-on experience with Azure and modern cloud-native application architectures.Experience with Databricks, Snowflake, or similar enterprise data platforms.Strong understanding of software engineering best practices, including CI/CD, DevSecOps, automated testing, observability, and secure software development.Strong programming ...