26 to 50 of 91 Databricks Jobs in London

Data Architecture. Expertise across foundational data domains including data modelling, data engineering, data governance, and data consumption. Working knowledge with the likes of Databricks, Snowflake, Anthropic etc Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in architecting complex data solutions. Experience leading ...

Data Architecture. Expertise across foundational data domains including data modelling, data engineering, data governance, and data consumption. Working knowledge with the likes of Databricks, Snowflake, Anthropic etc Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in architecting complex data solutions. Experience leading ...

scalable data platforms end-to-end on AWS and/or Databricks. Production Coding: Strong, hands-on production experience with Python, SQL, Spark, and Databricks or AWS data tools. Consulting/Client Delivery: Experience working in a consultancy, systems integrator, or client-facing setting with direct accountability to project delivery … Cost Optimization: Experience implementing cost controls, platform monitoring, and optimizing data compute/storage expenses. Clearance: SC clearance, or eligibility for it. Desirable Certifications: Databricks and/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis ...

building and leading high-performing teams, developing communities of practice and embedding a culture of accountability and continuous improvement. Experience with Microsoft Azure and Databricks would be highly desirable, alongside exposure to analytics, data science, machine learning or AI environments. This is a fantastic opportunity to step into a genuinely ...

relevance to secure engineering. Exposure to Agile working environments and DevSecOps practices Ideally experience securing data platforms such as Databricks, Dagster or Snowflake Eligible to work in the UK. What the role offers: £80,000 DOE, negotiable Predominantly remote/hybrid working London office Full-time permanent position Excellent benefits ...

reproducibility: A strong grasp of production inference patterns and reproducible environments (Docker, MLflow or equivalent). Cloud & tooling: AWS, plus SageMaker, Snowflake, Spark/Databricks and Kubernetes. Engineering mindset: A focus on reliability, maintainability and continuous improvement. ...

social impact datasets is desirable Knowledge of sustainability reporting methodologies and frameworks is desirable Strong stakeholder management and business partnering skills Familiarity with Databricks, SQL, Power Automate or similar data tools is desirable Strong analytical and problem-solving skills, with a data-driven approach to developing business solutions Ability ...

Semantic Kernel, Prompt Flow, and enterprise AI governance patterns. 7+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs. Proven ability to own solution architecture … pharmaceuticals, or other regulated industries. Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture. Core Technology Stack Data platform : Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration. AI platform : Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt ...

Experience: 610+ Years Key Skills: MDM, Databricks, PySpark, SQL, Delta Lake, Unity Catalog, Data Quality, Data Governance Role Summary We are looking for an experienced MDM/Databricks Data Engineer to build scalable master data and integration solutions on a modern Databricks Lakehouse. The role will focus on common … Design and implement MDM solutions , including common IDs, Golden Records, entity matching, deduplication, and survivorship rules. Integrate data from multiple source systems into the Databricks Lakehouse . Develop and optimize data pipelines using Databricks, PySpark, SQL, and Delta Lake . Build and enhance Bronze, Silver, and Gold data layers. Implement ...

Azure OpenAI and Azure cloud services. Experience processing and extracting data from complex documents. Strong testing and CI/CD experience. Desirable OCR solutions Databricks Energy sector or Public Sector experience Terraform and Cosmos DB This is an excellent opportunity to work on a cutting-edge AI programme with real ...

Python and SQL Experience building, training and improving machine learning or predictive models Ability to analyse complex datasets and translate findings into business insight Databricks experience would be highly advantageous Experience working with large transactional, behavioural or customer datasets Consulting, agency or client-facing analytics experience is beneficial Strong communication ...

commercial data and AI capability. You will lead the design and delivery of modern cloud data platforms using technologies including Snowflake and Databricks, supporting analytics, AI and customer intelligence use cases. The role combines technical leadership, commercial strategy and senior client engagement. You will shape strategic opportunities, lead presales ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/B testing ...

communicate, and demonstrate the business impact of fraud initiatives. Experience working with cross-functional stakeholders to implement analytical solutions. Exposure to AWS SageMaker and Databricks would be beneficial. How to Apply If you are interested in this Fraud Data Scientist opportunity and would like to learn more, please apply with ...

including LLM hosting, RAG, vector databases, prompt orchestration and guardrails. Knowledge of AI platform tooling such as Azure ML, Amazon SageMaker, MLflow, Kubeflow and Databricks . Ability to evaluate technologies and make evidence-based architectural decisions. Experience designing secure, scalable and cost-optimised AI infrastructure. Strong architecture documentation skills, including ...

early and obtain approval before implementation. Capture architecture decisions, exceptions and deviations in logs, plans and technical documentation. TECHNICAL REQUIREMENTS Strong Azure platform experience: Databricks, Azure Functions, IAM/RBAC, Storage Accounts, Networking, Virtual Machines, Key Vault, Monitoring and Alerting. Infrastructure as Code using Terraform. Azure DevOps Pipelines ...

Senior Data Engineer to help shape the future of its data platform. You'll take ownership of building scalable data solutions in Databricks primarily, establishing a single source of truth, and enabling trusted, self-service access to data across the business. Location: UK, remote with very occasional visits … plus 10% bonus and an extensive benefits package. What you'll be doing Design, build and maintain scalable data pipelines and data products using Databricks , PySpark, Spark SQL and Delta Lake. Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems. Shape ...

About Scale Factory We are an AI enablement consultancy. Delivering quality-led AI-first foundations, embedding capability and excellence into the foundational fabric of the companies we work with. We give leaders the confidence to ...

Responsibilities Develop and maintain scalable data pipelines using Azure Data Factory. Build and manage ETL processes using SQL and Python. Work with Azure Databricks and Azure SQL/SQL Server to process and manage large datasets. Design and implement data models using Kimball, 3NF and dimensional modelling approaches. Develop metadata … security throughout the data lifecycle. Experience Required Strong commercial experience working within Azure data environments. Hands-on experience with Azure Data Factory, Azure Databricks and Azure SQL/SQL Server. Strong SQL and Python skills. Previous experience working within Financial Services environments (Banks/Insurance/FinTech) Good understanding ...

master data standards. Define architecture designs, data flows and integration specifications. Provide technical leadership across architecture and engineering teams. Essential Skills: Strong AWS and Databricks expertise, including Lakehouse and Delta Lake. Extensive data modelling and enterprise data architecture experience. Supply chain planning, demand forecasting and inventory optimisation. Knowledge of SCOR ...

generative AI Experience working within scalable cloud environments (AWS preferred) Ability to operate in a senior or technical leadership capacity Desirable: Graph-RAG experience Databricks exposure Experience deploying customer-facing AI systems This is an excellent opportunity to join a forward-thinking organisation where AI is a genuine strategic priority ...

developing and deploying scalable, production-ready AI applications Experience working with cloud platforms and AI technologies, such as Azure, AWS or GCP Exposure to Databricks, Microsoft Foundry or similar AI and data platforms would be beneficial Strong stakeholder management skills If you're an experienced Staff AI Engineer looking ...

performance. Skills & Experience 8+ years in Data Analytics or Data Science (Customer Success, Operations, or Digital Experience ideal) Strong SQL skills; experience with Snowflake, Databricks, Spark Dashboarding expertise (Tableau, Qlik, or similar) Python or R for analytics/automation (preferred) Knowledge of statistical methods and A/B testing Experience ...

influence and build consensus without direct authority • Any understanding of data platforms and Data Lakes would be very useful but is not essential • Databricks experience is advantageous but not also not essential • Good understanding of the software development lifecycle • Experience with Jira, Azure DevOps, Linear or similar delivery tools Experience ...

frameworks. Excellent understanding of statistics, machine learning methodologies, and model evaluation. Experience delivering AI solutions from proof-of-concept through to production. Exposure to Databricks, MLflow, Spark, or similar cloud-based data platforms. Ability to influence senior stakeholders and lead technical strategy Desirable Experience Experience building multi-agent AI systems ...