301 to 325 of 1,307 Databricks Jobs in London

Databricks is seeking an Infrastructure & Platform Specialist Solutions Engineer in the UK to guide enterprise customers through Databricks deployments on AWS, Azure or GCP. You will architect secure, scalable cloud deployments with strong identity and networking controls and work with cross-functional teams to address complex requirements. You will demonstrate ...

Role: Databricks Lead Engineer Location: London (Hybrid/On-site requirement: 3 days per week in London ) Rate: Up to £575/day (Inside IR35) Contract Length: 6 months with potential extension Start Date: ASAP Role Summary We are seeking an experienced Databricks Lead Engineer to drive the design, development … optimization of enterprise-scale data platforms. The ideal candidate will have strong technical leadership capabilities, deep expertise in the Databricks Lakehouse platform, and a proven track record of delivering robust data pipelines and architecture in complex environments. Key Responsibilities Lead the design and implementation of scalable data architectures ...

performing Analytics & Data Science team. This role focuses on delivering advanced analytics, ML, and generative AI solutions across diverse projects, using Python, R, Azure, Databricks, SQL, Power BI and Tableau. You will influence business decisions and collaborate with senior stakeholders in a cloud-based environment. #J-18808-Ljbffr ...

client sites as needed. Ideal candidate has FS regulatory experience, data governance expertise, and hands-on use of tools such as Alteryx, Power BI, Databricks, Snowflake, Python and SQL to deliver practical analytics assurances and audits. #J-18808-Ljbffr ...

influence senior leaders. Understanding of data governance, compliance and enterprise operating models. Experience with Microsoft technologies such as Azure, Fabric, Power BI and Databricks is advantageous. ...

mission needs into technical solutions Lead teams across data, engineering, and delivery Influence strategy, capability, and technical direction Tech landscape AWS | Azure | GCP Databricks | Snowflake Data lakes | Warehouses | Distributed systems DevOps | Infrastructure as Code | Secure deployment Data governance | Secure access | Analytics layers What you bring Active DV clearance (essential) Proven ...

Extensive experience as an Enterprise Data Architect within large, complex organisations Previous line management or leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives ...

data ingestion, transformation, orchestration and SQL based development Experience working with senior stakeholders, Enterprise Architecture and governance functions Bonus, experience with Microsoft Fabric, Databricks or Azure Synapse This is a Permanent role, with hybrid working based in London. Paying around £80,000 - £85,000 #J-18808-Ljbffr ...

identify opportunities for improvement and set a high standard across engineering quality, performance and delivery.Responsibilities will include:Designing and improving engineering patterns across Azure Databricks and Azure Data FactoryDriving performance and optimisation across caching, indexing, partitioning and costReviewing code and acting as a technical quality gateImproving DevOps practices across ...

genuine interest in developing into an architectural role Experience working closely with Data Engineers, Analytics teams, and business stakeholders Exposure to Microsoft Fabric, Databricks, Python, PySpark, or dbt would be beneficial Experience with data modelling tools such as Sparx EA, Sparx Enterprise Architect, Enterprise Architect, ER/Studio, ERwin, Erwin ...

years in Azure cloud; 5+ years in AI/ML. Hands‐on with Azure OpenAI, Azure AI Foundry, Document Intelligence, Data Factory, ML Service, Databricks, Key Vault, Blob Storage, Synapse Analytics, DevOps. Strong LLM, embeddings, RAG, prompt engineering knowledge. Expertise in secure API/event‐driven design, microservices, DDD. Experience ...

data science toolsets. Machine Learning and Predictive Analytics. Generative AI, LLMs, RAG, and Agentic AI frameworks. Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms. Data visualisation and storytelling tools such as Power BI. MLOps and model lifecycle management. Preferred Qualifications Experience in client-facing consulting ...

Python, PostgreSQL, DynamoDB, OpenSearch Experience with APIs, webhooks, and system integrations Familiarity with cloud platforms (AWS, Azure, or GCP) Experience working with Snowflake, Databricks or similar data warehouses Knowledge of AI/ML concepts and how they apply to business processes Customer-Facing Skills Excellent communication skills with both technical ...

architecture governance Desirable Experience Investment banking, wholesale banking, or capital markets. Transaction monitoring, risk, finance, regulatory reporting, or data platforms. Cloud migration factory approaches. Databricks and modern data platforms. AI, analytics, and data engineering workloads. Azure/GCP architecture certifications. ...

integration design·Using Python and SQL to build robust, scalable AI and data solutions·Working with cloud platforms such as AWS, Azure, GCP or Databricks·Supporting MLOps, LLMOps, CI/CD and software engineering best practice·Collaborating with technical and non-technical stakeholders across complex programmes·Helping identify technical, delivery ...

inherent in the Life Sciences value chain.Core Architecture: Expertise in Data Modernization, Microservices, Cloud Architecture, and Lakehouse patterns.Data & AI: Deep hands-on proficiency in Databricks (Spark, PySpark, DLT), GenAI (Agent Core, Copilot Studio, Amazon Bedrock), and Graph Databases (Neo4j).Cloud & Tools: Strong command of AWS (Lambda, Glue, EMR, MWAA ...

Strong foundation in Python and SQL Experience building models for real commercial use cases (e.g. propensity, clustering, regression) Comfortable working with tools like PySpark, Databricks, Tableau or Power BI (nice to have, not essential, since the group uses a mix across its businesses) A track record of translating technical work ...

streaming, data mesh principles). Strong knowledge of one or more leading cloud data stacks (e.g. GCP BigQuery, AWS Redshift/Glue, Azure Synapse, Databricks, Snowflake). Experience designing data models for analytics and AI, and working with structured and unstructured data. Familiarity with data governance, security, privacy and compliance ...

help the team do better and be better, again and again Write maintainable, testable code and enjoy providing code reviews Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance Be strong in Python, SQL, and PySpark ...

with some combination of: Data architecture, modelling, integration, governance or migration Cloud technologies such as Azure, AWS or GCP Modern data platforms such as Databricks or Snowflake Application and integration architecture AI, ML or GenAI Technology transformation and modernisation Architecture frameworks, roadmaps and solution design Working directly with clients ...

fast-paced, distributed environment with both technical and non-technical teams Nice to Have Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance Experience automating BI administration through platform APIs, or identity and access through Okta, SCIM or role-based access controls Experience supporting ...

including API-first delivery and AI data access enablement.What You Bring • Hands-on experience designing schemas for relational databases, messaging, data lakes/lakehouses (Databricks, Snowflake, or equivalent), and API/message formats (JSON Schema, OpenAPI, Avro, Protobuf). Strong understanding of metadata and lineage management.• 5+ years of experience ...

communicate findings effectively. Stay current with developments in AI and machine learning through continuous learning. Technical Stack Core: Power BI LangChain basics MLflow Databricks Hugging Face Transformers What You'll Bring Hands-on experience in data science or applied analytics. Solid Python programming skills and understanding of machine learning fundamentals. ...

versioning and release management. Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security. Data engineering depth (Spark/Databricks; ETL/ELT); cloud-native data + AI architectures. Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback). Consulting leadership: stakeholder, budget ...

Technical Skills Essential • Strong SQL and Excel skills. • Good working knowledge of Python. • Understanding of the opportunities presented by AI tools and technologies. Desirable • Databricks experience or knowledge. • Power BI, SSIS, SSRS, VBA or DAX experience. What we offer Enjoy a benefits package designed to help you thrive, both professionally ...