1 to 25 of 26 Databricks Jobs in Central London

Experience working in secure, regulated, or complex enterprise environments Exposure to large-scale data platforms or transformation programmes Knowledge of tools such as Spark, Databricks, Airflow, or similar Experience in consulting or client-facing delivery environments Security Requirements Must be a sole UK citizen Must be eligible for Security Clearance ...

reporting and analytics Support development of Power BI dashboards Assist in AI use cases (automation, simple models, insights) Work within Azure-based environments (Databricks, Data Lake, etc.) Test, validate, and document solutions Training Possible promotion within the organisation Moving onto a higher level apprenticeship Apprenticeship Standard Data technician (level ...

data tools. Keen eye to deliver project deliverables that are concerned with architecture, security, and integration features. Extensive knowledge Data platforms - Fabric, Snowflake, CosmoDB, DataBricks, MongoDB, RDBMS Data replication/CDC - Qlik Replicate, Oracle Golden Gate Data modeling - ERStudio Message-oriented data movement API design and access Data Analytics ...

Quality Engineers at all levels with strong Data and ETL pipeline testing. With Python and SQL skills to join our team. An understanding of Databricks and Azure ADF is also desirable. The successful candidate will form part of the Enterprise Data Platform team (NOVA) responsible for delivering on the product ...

improving data, reporting, and insight delivery. Key Technical Skills: Advanced PowerBI Visualisation or equivalent (2 years) Database or platform experience in tools such as Databricks or equivalent (2 years) Applied experience in Python & SQL (2 years) Optimising costs on exceedingly large queries + cluster management Soft Skills: Independent Self Starter ...

across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment approaches where relevant You'll also work with ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

15+ years of experience in data architecture, data engineering, and analytics platforms Experience with AWS, GCP, Snowflake, Databricks and Azure data services Strong background in data integration, reporting, and big data ecosystems Design and implement AI and Gen AI solution for data value chain Lead enterprise data platform modernization from ...

production. What you'll do Design, build, and operate cloud-native AI platform infrastructure across AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases ...

scale operating models and shared services environments is beneficial. Required Skills AI & Agent Platforms: Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry Data & MLOps: Databricks, Azure SQL, ADLS, Azure AI Search Cloud & Integration: Microsoft Azure, API Management, Containers Identity & Security: Azure Entra ID, Key Vault, RBAC Observability & Governance: Logging, usage ...

Data Solution Architect - Databricks Location: UK Wide (Hybrid) Salary: Up to £110,000 + Bonus + Excellent Benefits Security Clearance: Must be eligible for SC Clearance The Opportunity We're recruiting for an experienced Data Solution Architect with strong Databricks expertise to join a leading technology consultancy delivering large-scale … designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives across ...

shaping high-level designs to deliver critical business outcomes. The ideal candidate will have strong experience in AI engineering and data platforms, including Databricks and Azure services, along with excellent communication skills and the ability to influence C-level clients. #J-18808-Ljbffr ...

generated content and tool integrations. Experience with CrowdStrike or equivalent EDR/SIEM platforms, including integration with compliance logging pipelines. Exposure to Microsoft Fabric, Databricks or similar data platform environments. Experience operating within a Big Four or Top Ten professional services firm, including understanding of client confidentiality obligations and engagement ...

alternative GIS platforms (e.g., QGIS) is advantageous. Cloud & Infrastructure Expertise – Solid knowledge of IT infrastructure and databases; experience with cloud‐based platforms such as Databricks is highly desirable. UK Geographic & Hazard Data Mastery – Excellent understanding of UK geographic datasets, hazard data, and Ordnance Survey products; ability to maximise business value ...

engineering function, including defining structure, operating model, and delivery standards Own end-to-end delivery of scalable AI solutions across enterprise platforms (including Databricks and Microsoft Azure AI services) Lead the productionisation and industrialisation of AI use cases across business functions Manage hybrid teams combining internal engineers, AI Ops/ ...

number of exciting transformation programmes across the energy, oil & gas, and nuclear sectors. They are looking for contractors across: Palantir/Data & AI/Databricks SAP Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. ...

Liverpool Street (London) Role The Data Engineer Lead is responsible for designing, building, and supporting modern data platform, with a particular focus on Databricks, cloud-based data engineering, and leading the migration of legacy Oracle systems into scalable, cloud-native environments. The role supports the organisation's data strategy especially … role leads the design, implementation, and optimisation the Data Mart and migration processes, ensuring alignment with enterprise data architecture and compliance standards. Core Responsibilities Databricks/Modern Data Platform Engineering Lead the design and development of Data Marts using Databricks (SQL/Python). Follow engineering best practices including version ...

Leading hands-on technical delivery of AI projects, contributing actively to codebases and architectural decisions Developing and deploying production-grade AI systems using Azure, Databricks and Generative AI tooling Owning the implementation of ML pipelines, APIs and data integration workflows Enforcing MLOps best practices, coding standards, version control and performance … lifecycle best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong ...

architectures, and make data available for reporting, AI, and conversational analytics. Maintain awareness of channels to market and the ability to work within the Databricks and Microsoft ecosystem to ensure customer success. Exhibit high energy and intent to help clients understand the fast‐moving data industry, product and service evolution. … data analysis, streaming data, IoT, AI, GenAI, and related analytics fields. Comfortable engaging and leading sales and business development opportunities with clients. Qualifications Hold Databricks certifications, ideally the Databricks Champion or equivalent knowledge and experience. Strong experience in AI engineering, data platforms, reporting, and self‐serve analytics. Experience designing ...

15+ years of experience in data architecture, data engineering, and analytics platforms Experience with AWS, GCP, Snowflake, Databricks and Azure data services Strong background in data integration, reporting, and big data ecosystems Design and implement AI and Gen AI solution for data value chain Lead enterprise data platform modernization from … prem to cloud for banking and insurance clients. Architect and implement scalable solutions using Snowflake and Databricks on AWS, GCP and Azure platforms. Design and implement AI and Gen AI solution for data value chain Design data integration pipelines (batch, real-time, big data) and analytics platforms ...

. Cloud Ecosystem Connectivity: Seamlessly integrate data across major cloud platforms (AWS, Azure, GCP), SaaS applications, and modern data warehouses like Snowflake or Databricks . Performance Tuning: Act as the senior technical lead for debugging, advanced error handling, and pipeline optimization to ensure high scalability and performance. Collaboration: Partner closely … requirement). The Full Suite: Deep proficiency in both CDI and CAI modules. Data Environment Knowledge: Solid experience integrating with cloud data platforms (Snowflake, Databricks) and cloud providers (AWS/Azure/GCP). Experience: 6-8 years of overall experience in ETL/Data Integration. Best Practices: A strong ...

build a strategic pipeline, influence go‐to‐market direction, and make a visible impact on business growth within a high‐performing, specialist Databricks AI & data consultancy. The Opportunity: We’re partnering with a fast‐growing AI and Data Consulting firm trusted by enterprise organisations to deliver large‐scale Lakehouse … transformation programmes. The business is looking for a senior sales leader with deep experience selling Databricks‐centric data and AI solutions into complex enterprises. This role is not about transactional licences, it’s about shaping multi‐year transformation journeys, positioning Databricks at the core, and partnering with clients to unlock ...

scalable MLOps and AI deployment approaches Drive high-quality engineering practices across testing, deployment, monitoring, and optimisation Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/… Strong understanding of Generative AI and modern AI engineering practices Exposure to Agentic AI frameworks or autonomous AI workflows Experience working with Azure and Databricks Good understanding of backend engineering and API development Experience collaborating across cross-functional engineering and product teams Ability to mentor or support junior engineers Strong ...

through to measurable impact. Self-source the data you need by navigating our data platform, writing SQL, understanding upstream structures, and working confidently with Databricks or similar lakehouse patterns. Build and operate scalable, secure pipelines and curated data layers that power analytics, risk insights, and insurance recommendations. Implement front … component architecture, state management, and experience delivering data-heavy user interfaces. Strong SQL and data querying skills, with the ability to self-serve from Databricks or similar data platforms. Solid mathematical and quantitative skills, with the ability to implement and validate computations accurately. Experience building APIs and services that connect ...

We’re hiring a Solution Architect to join our Data & AI Practice, helping enterprise clients bring their vision to life through impactful, responsible, and scalable Data & AI solutions. This senior, client‐facing leadership role is ...