151 to 175 of 303 Databricks Jobs

Title: Databricks Data Architect Location: Remote (UK) - London preferred Employment Type: Permanent About the Client Our client is a specialist data & analytics consultancy delivering large-scale data platform and AI transformation programmes across financial services and enterprise clients. Role Overview We're hiring a Databricks Data Architect to lead solution … advanced analytics initiatives. This is a highly client-facing role requiring a strong blend of commercial pre-sales capability and deep hands-on Databricks expertise. Key Responsibilities Lead design of enterprise Databricks Lakehouse architectures Play a key role in pre-sales activities, including solution shaping, cost estimation, effort sizing ...

understanding of regulatory and compliance requirements impacting data Strong stakeholder management skills Strong analytical skills Experience in leadership and shaping architectural direction Knowledge of Databricks, Azure, SQL Medallion Architecture and AI Fundamentals For further info, please contact me on the details below. ...

role: SQL Server MS SSIS T-SQL Azure Data Factory Visual Studio Strong written & verbal communication Desirables: Python Azure Synapse/Databricks Flink/Kafka The role will be on a hybrid working basis with 3 days per week in the Liverpool office. The role is commutable from the surrounding ...

required: Proven record developing & supporting MI & Data Warehouse systems SQL Server Management Studio SSIS MS Azure (Data Factory) Visual Studio Sharedo Azure Synapse/Databricks Python (desirable) The DBA role is based in Liverpool city centre & will be hybrid working with 3 days per week in the office. The role ...

required: Proven operational leadership for large-scale data platforms. Expertise in incident management, SLA enforcement, and stakeholder communication. Hands-on experience with Azure Synapse, Databricks, ADF, Power BI. Familiarity with CI/CD and automation. Strong FinOps mindset and cost management experience. Knowledge of monitoring and observability frameworks. Salary ...

data platforms Required Technical Expertise - Data Migration & Data Synchronisation Architecture - SQL/Python/Scala - Data Engineering & Data Pipelines - Relational & NoSQL Databases - Apache Spark - Databricks - Data Warehousing/Data Lakes - Cloud & On-Prem Data Integration Additional Requirements - Freelance contractor only - Must be eligible for security clearance - Availability to work ...

teams (0–10/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks, and ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance or regulated financial services preferred. ...

they can focus on tagging strategy and implementation Your Skills and Experience You will need:* Strong SQL capability, with experience working in BigQuery or Databricks* Hands-on experience with GA4 and digital performance reporting* Experience using Power BI within the last few years* Strong understanding of digital funnels, conversion metrics ...

platform integrates with modern technology stacks including: • Cloud infrastructure such as AWS, GCP, or Azure • APIs and distributed services • Data platforms including Snowflake, Databricks, BigQuery, and Kafka • SaaS integrations and enterprise software ecosystems • Automation and scripting using Python or JavaScript We’re Looking For • Experience in Solutions Engineering, Sales Engineering ...

delivery without close supervision. Confident stakeholder engagement skills with the ability to hold both business and technical conversations. Hands-on technical capability: SQL Python (Databricks preferred) Power BI M365 tools A proactive mindset, willingness to learn, and confidence using new tools (including copilots). Why Apply? Take ownership ...

delivery of business-as-usual (BAU) reporting, ensuring accuracy & timeliness. Drive efficiency through automation and process improvement using tools such as SQL , Python , & Databricks , with a focus on building scalable, future-proof systems. Collaborate with stakeholders to understand challenges and identify opportunities where data can deliver value. Design & implement data ...

delivery of business-as-usual (BAU) reporting, ensuring accuracy & timeliness. Drive efficiency through automation and process improvement using tools such as SQL , Python , & Databricks , with a focus on building scalable, future-proof systems. Collaborate with stakeholders to understand challenges and identify opportunities where data can deliver value. Design & implement data ...

with a particular focus on London. The firm specialises in delivering enterprise data platforms, with core expertise in Snowflake and increasing focus on Databricks, ensuring vendor-agnostic solutions. Projects are large, complex engagements spanning data strategy, advisory, platform implementation, BI/analytics, and team augmentation, often evolving into multi-year ...

large enterprise BI setup, with at least 5 years specifically within BI Operations . Core Tech Stack: Extensive, hands-on experience with Data Lakehouse , Databricks , and Power BI . Knowledge: Expert-level understanding of Data Warehousing, database technologies, and ETL/ELT principles. Preferred Skills: Communication: Ability to bridge ...

improve efficiency and introduce AI-driven workflows Are highly proficient in PostgreSQL and at least one major data platform (e.g., Snowflake, BigQuery, Databricks, Firebolt) Experience with Node.js and TypeScript is a plus Thrive in fast-paced startup environments and feel energized by ambiguity Move quickly and constantly look for ways ...

remote teams Ability to manage your own workload and work independently Stakeholder engagement experience and confidence presenting to groups Any exposure to Azure or Databricks is a bonus Background in client facing environments, ideally within a charity, would be a bonus What you’ll get in return for your experience ...

Lead Azure Databricks Engineer - Consulting (Lloyd's of London) Base Salary: £78,000-£95,000 Location: Hybrid - London Sector: Data Engineering/Cloud/Insurance Type: Permanent We are searching for an accomplished Lead Azure Databricks Engineer to join our consulting practice and take technical ownership of complex cloud data … engagements. What you'll do Lead the engineering, optimisation and governance of Azure-based data platforms, spanning ADF, Data Lake, Azure Functions, Key Vault, Databricks, Delta Lake, PySpark and Unity Catalog . Collaborate closely with insurance domain teams- Underwriting, Actuarial, Delegated Authority, Bordereaux, Exposure Management, Reinsurance, Finance, Risk and Solvency ...

future demands. Role Responsibilities Lead the design, development, and deployment of scalable, secure, and cost-effective distributed data solutions using Azure services (e.g., Azure Databricks, Azure Data Lake Storage, Azure Data Factory). Architect and implement advanced data pipelines using Databricks, Delta Lake, Python and Spark, ensuring performance, reliability … development of reusable frameworks, templates, and patterns to accelerate delivery and ensure consistency across projects. Minimum Criteria Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory. Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed ...

Data Consultant (Databricks)/Data Engineering Architect Contract Length: Initial 7 weeks (immediate start) with strong potential for extension Location: London (Victoria) Hybrid - 1-2 days per week onsite Outside IR35 We are looking for an experienced Data Engineering Architect/Consultant with strong Databricks expertise to support a private … organisations as they navigate change and pursue long-term growth. Key Responsibilities Define the architecture and blueprint for a federated data platform built on Databricks Design and shape a centralised data lake architecture Translate business and PE investment metrics into measurable data engineering KPIs Identify data gaps, data availability issues ...

within the Public Sector, s previous experience within the NHS/Healthcare is essential. Requirements: Python, AWS (Serverless), Lambda, StepFunctions, DynamoDB are essential PySpark & Databricks are desirable Excellent communication, leadership & stakeholder management skills are required Contract Details: Principal Python Developer 6 Month Contract Inside IR35 Hybrid - 1 day per week ...

Microsoft Azure solutions Proven background in a client-facing consulting role Broad experience across Cloud, Data, and AI , including exposure to Microsoft Fabric, Azure Databricks, and Azure OpenAI Bachelor’s degree in IT, Business, Computer Science, or a related discipline Must have the right to work in the UK ; sponsorship ...

required: Proven operational leadership for large-scale data platforms. Expertise in incident management, SLA enforcement, and stakeholder communication. Hands-on experience with Azure Synapse, Databricks, ADF, Power BI. Familiarity with CI/CD and automation. Strong FinOps mindset and cost management experience. Knowledge of monitoring and observability frameworks. Salary ...

architecture: medallion architecture (Bronze/Silver/Gold), Delta Lake, or equivalent. Proficiency in dimensional modelling (Kimball methodology) and enterprise data modelling. Experience with Databricks (Unity Catalog, Delta Lake) or Snowflake on AWS. Knowledge of Semantic Layer design patterns: pre-computed aggregations, business-facing views, Tableau integration. Experience migrating from ...

parties and navigate typical NHS governance and assurance processes There’s also an element of working within a broader data ecosystem, including a Databricks platform managed by the team. Tech Environment Frontend: React, TypeScript Backend: Node.js (TypeScript) Cloud: AWS (serverless) Lambda, Step Functions, API Gateway S3, DynamoDB Cognito, CloudFront Infrastructure ...

platform and will be working across different client setups. Typically, that includes: AWS, Azure and GCP depending on the project Tools like Databricks, Snowflake and Synapse Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kafka or Kinesis You will use your expertise to choose ...