951 to 975 of 1,869 Databricks Jobs in the UK

close agreements. Build and execute co‐sell motions with Global Systems Integrators (e.g. Accenture, Deloitte, TCS, Wipro) and strategic technology partners (e.g. Anthropic, Databricks) to bring joint migration‐to‐AI propositions to market and accelerate deal cycles. Leverage the AWS partner ecosystem to ensure customers get the right delivery support ...

role design, systems integration, and evaluation of architectures. Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks, data life cycle management, master data systems, legacy data warehouse, workplace productivity tools) and technology operations support services (e.g. service desk, CMDB). Experience ...

role design, systems integration, and evaluation of architectures. Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks, data life cycle management, master data systems, legacy data warehouse, workplace productivity tools) and technology operations support services (e.g. service desk, CMDB). Experience ...

with agentic frameworks* Deep expertise in data modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery)* Significant direct experience with the Salesforce platform, including advanced configuration, customization, and complex development* Demonstrated entrepreneurship, a "get-things-done" attitude, and a focus ...

maintain data pipelines ingestion, transformation, serving, and monitoring using tools such as Airflow, Kafka, dbt, or equivalents. Working familiarity with modern data platforms (Snowflake, Databricks, BigQuery, or similar), including data modeling and performance fundamentals. Strong debugging instincts with imperfect, real-world data in production environments. Supply Chain Domain (Nice ...

reliable partner to the wider organisation. Responsibilities Technical Delivery Design and build ingestion pipelines across a variety of sources using ADF and Databricks orchestration patterns. Build and optimise data transformations in Databricks, including fact/dimension modelling for data marts. Implement metadata-driven engineering practices that use platform contracts … review. Skills & Technologies Core Data Engineering Data warehouse and data mart modeling: fact/dimension design, slowly changing dimensions, schema evolution. Platform Stack Databricks notebooks and workflows; Azure Data Factory pipelines. Metadata-driven orchestration patterns and platform contract design. Analytics Consumption Power BI/Fabric semantic model and report delivery ...

CACI Information Intelligence Group is seeking a Data Architect (Senior Technical Consultant) to design and deliver modern cloud data platforms with Snowflake and Databricks. You will lead platform architecture, governance, and security across multi-cloud ...

best practices in data modelling and architecture Partner with client teams to translate business requirements into tailored data solutions Work hands-on across Snowflake, Databricks, AWS, Azure, or similar environments Contribute to internal initiatives focused on capability development, tooling, and process improvement Engage with stakeholders to influence technical direction … experience, with at least 2 years hands-on across modern data platforms Strong SQL, data modelling, and query optimisation skills Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric Solid grounding in ETL/ELT pipelines and data warehousing principles Strong communication and problem-solving skills Comfortable working both ...

Data Engineer (Azure | Databricks | PySpark | SQL) Contract | Remote | UK Public Sector Project Overview We are seeking a Data Engineer to support delivery of key data components within our evolving data ecosystem. This role will work closely with architects, analysts, engineers, and wider delivery teams to implement pipeline builds, data models … Responsibilities Build and maintain ETL pipelines and code in cloud data platforms. Support ingestion activity and onboarding of new data sources. Work with the Databricks Data Intelligence Platform and develop Data Engineering workloads. Construct raw, refined and curated data layers; catalogue assets appropriately. Validate solutions against functional and non-functional ...

data governance Experience using data modelling tools such as Erwin or equivalent Experience working with cloud‐based data platforms (e.g. Azure Data Lake, Databricks) Familiarity with data cataloguing and lineage tools (e.g. Microsoft Purview) Strong SQL skills and experience with relational and dimensional modelling The ability to translate complex business … analytics use cases Qualifications Essential Significant hands‐on experience in data modelling projects, with experience designing and delivering Gold-layer data products in Databricks or a comparable modern lakehouse platform Strong ability to understand business processes, information flows and source systems, translating them into conceptual, logical and physical data models ...

strong opportunity for a Data Engineer who enjoys working close to the platform. The Role Designing, building and maintaining data pipelines in Databricks Developing and optimising ETL/ELT processes across ingestion, transformation and integration Building data solutions in SQL, Python and PySpark Monitoring and improving data quality, reliability … colleagues and stakeholders across the business Helping mature automation, documentation, development standards and CI/CD practice Essential Skills and Experience Strong experience with Databricks SQL server experience Solid Python and PySpark skills Experience using MS stack, Azure and Spark Familiarity with CI/CD and DevOps Why Apply? Base ...

production environments. Prepare to be tenacious and collaborate to drive the right solutions forward. Have a good understanding of Microsoft Azure tooling including Azure Databricks, preferably with hands-on experience. Strong understanding of data modelling and architectures (e.g. data vaults, data warehousing, data lakes etc.) Experience with Azure based solutions … explain technical concepts to non-technical business stakeholders. Demonstrated experience leading and mentoring data engineers. #UST Skills SQL, Python, Microsoft Azure, Azure Data Factory, Databricks #J-18808-Ljbffr ...

data governance* Experience using data modelling tools such as Erwin or equivalent* Experience working with cloud‐based data platforms (e.g. Azure Data Lake, Databricks)* Familiarity with data cataloguing and lineage tools (e.g. Microsoft Purview)* Strong SQL skills and experience with relational and dimensional modelling* The ability to translate complex business … analytics use cases**Qualifications****Essential*** Significant hands‐on experience in data modelling projects, with experience designing and delivering Gold-layer data products in Databricks or a comparable modern lakehouse platform* Strong ability to understand business processes, information flows and source systems, translating them into conceptual, logical and physical data models ...

beyond traditional reporting towards evidence-led, AI-enabled decision making. You will work alongside data engineers, data architects, platform specialists and consultants across Snowflake, Databricks and Microsoft Fabric to develop practical, production-ready machine learning solutions. We are looking for a Data Scientist with a solid background in Machine Learning … Platform Enablement Work with Data Engineering and Architecture teams to access, prepare and validate data for machine learning workloads. Use platforms such as Snowflake, Databricks and Microsoft Fabric where appropriate for data preparation, experimentation and deployment support. Follow good engineering practices for version control, testing, documentation and reproducibility. Contribute ...

that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability. We are building a governed, interoperable data estate that enables self‐service … well‐controlled outputs in a regulated environment. You will have strong SQL and advanced Excel skills as standard, with experience of Power BI and Databricks being a distinct advantage. You should be comfortable engaging stakeholders to shape requirements as you are building the solution hands‐on, motivated by the opportunity ...

Principal or Senior Architect designing large-scale, high-throughput, and mission-critical enterprise distributed systems.**Deep Technical Breadth & Depth:*** Advanced data architecture experience using Databricks, Microsoft Fabric, and large-scale data processing (Data Mesh/Lakehouse patterns).* Strong background in data integration and relational platforms* Proven experience designing highly … will be architecting solutions within a broadly evolving and heterogeneous technology landscape, notably encompassing:Compute & Services: Java, .NET, Python, Cloud-native microservicesData & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka)AI & ML: Azure OpenAI, LLM Integration patterns, Vector DatabasesIntegration & Storage: Azure Data Factory (ADF), SQL Server, Enterprise ...

Principal or Senior Architect designing large-scale, high-throughput, and mission-critical enterprise distributed systems. Deep Technical Breadth & Depth: Advanced data architecture experience using Databricks, Microsoft Fabric, and large-scale data processing (Data Mesh/Lakehouse patterns). Strong background in data integration and relational platforms. Proven experience designing highly … will be architecting solutions within a broadly evolving and heterogeneous technology landscape, notably encompassing: Compute & Services: Java, .NET, Python, Cloud-native microservices Data & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka) AI & ML: Azure OpenAI, LLM Integration patterns, Vector Databases Integration & Storage: Azure Data Factory ...

Job title: SeniorEngineering Manager (Data Platform & Analytics Engineering)Location: London, Bristol or Edinburgh (Hybrid - 3 days in office)Reporting to: Head of Data Science & ProductsThis role is based in London, Bristol or Edinburgh and requires ...

Fabric Consultant Up to £90,000 We are partnering with a leading Microsoft-focused consultancy that specialises in delivering enterprise-scale data, analytics and AI transformation projects. Working with organisations across a range of industries ...

Data Architect Salary: Up to £78,000, based on skills and experience Contract Type: Permanent– 35 hours a week Location: Hybrid working (office based in Birmingham) – typically 2 days in the office per week Closing ...

A bit of background on Rotageek Rotageek helps businesses optimise staff scheduling through data-driven technology. By combining machine learning and advanced algorithms, we help organisations forecast demand, improve workforce management and give employees greater ...

Project Data Architect Salary: Up to £78,000, based on skills and experience Contract Type: Permanent– 35 hours a week Location: Hybrid working (office based in Birmingham) – typically 2 days in the office per week ...

Senior Data ArchitectLocation: London (Hybrid) | Practice Area: Data & Analytics | Type: PermanentDesign the blueprint. Architect the future. Empower data transformation. The RoleCapco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives ...

excellence. Together, we'll create solutions that make a difference. Job Responsibilities Design and deliver scalable, secure, and reliable data pipelines using Python and Databricks to support enterprise-level business needs. Develop and maintain data models and architectures that enable high-quality analytics and reporting across multiple business functions. Drive … Formal training or certification on data engineering concepts and advanced applied experience. Hands-on experience developing and maintaining data pipelines using Python. Proficiency with Databricks for large-scale data processing and analytics. Experience working with both relational and NoSQL databases. Proficiency across the full data lifecycle, including ingestion, transformation, storage ...

s. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3 years applied experience. Good working knowledge of AWS, Databricks, and Python. Experience across the data lifecycle. Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong ...