26 to 50 of 359 Databricks Jobs in England

Spark SQL. Experience working with large datasets and distributed computing tools such as Azure Synapse and Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML, TensorFlow). Experience with data visualisation tools such as Power BI. Strong commercial acumen with the ability to translate ...

capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise “data” is broad, that’s why we’re keen ...

contexts. Preferred Skills & Experience Exposure to management information (MI) and analytics platforms . Experience with Azure-based data platforms , including Azure Data Factory and Databricks . Knowledge of external emissions and environmental data providers . Strong understanding of modern data platforms and enterprise IT frameworks. Experience working within BCBS239-aligned ...

manage vector databases (Pinecone, Weaviate, FAISS, Milvus) to enable enterprise knowledge solutions Data & Engineering Excellence Lead the evolution of modern, enterprise-scale data platforms (Databricks, Snowflake, Synapse, BigQuery) Ensure robust data engineering and governance practices across a distributed global data estate Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi ...

shape how businesses operate in today’s digital world. Data Engineer What you will do Build and maintain scalable data pipelines using Snowflake and Databricks Manage and optimise data platforms for performance and reliability Develop modular ETL workflows and orchestrate data processes Write efficient PySpark code, including UDFs and Pandas ...

architectures, including data lakes, data warehouses, Lakehouse architectures, and distributed computing frameworks Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake Good understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated ...

architectures, including data lakes, data warehouses, Lakehouse architectures, and distributed computing frameworks Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake Good understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated ...

Location: London, Watford or Bristol (Hybrid working options available) The Lead Data Engineer will provide hands-on technical leadership in Azure cloud and Databricks-based solutions within our Enterprise Data Platform. The role requires strong expertise in Azure cloud services, Databricks, data engineering, and DevOps, leading a cross-functional team … Leading Product Increment planning to break down solutions into Features and Epics for incremental delivery. Designing and implementing scalable data solutions on Azure and Databricks within the assigned domain. Ensuring appropriate engineering standards are applied to maintain data quality, performance and reliability. Duties/Responsibilities Work with Product Owners ...

want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks! Leading a team of Enterprise Named and Strategic Account Executives, you will be measured by achieving your team's overall quota and growing Databricks consumption. This … Customers. Knowledge of the partner ecosystem to help grow Enterprise strategic territories Success implementing strategies for consumption and commitment-based sales revenue models About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune ...

data aggregation and analytics platforms i.e. Data Lakehouse and Data Warehouse, and this would ideally have involved the use of technologies like Azure/Databricks/ADF but other cloud and database technologies considered (e.g. AWS/GCP, Snowflake, Fabric). You must be confident engaging with technical ...

data governance and engineering standards The successful candidate will ideally have: Experience with at least one cloud platform (Azure, AWS, or Snowflake) Exposure to Databricks or similar modern data processing tools Working knowledge of SQL and some experience with Python An understanding of data warehousing concepts A strong desire ...

Teams, and OneDrive Desirable Experience with data governance, standards, or quality frameworks Exposure to modern data platforms such as Fabric, Azure Data Factory, or Databricks Scripting or analytical experience using Python or R Experience supporting organisations moving away from manual or spreadsheet-driven reporting ...

data integration Experience within banking or financial services ideally regulatory reporting Strong understanding of data quality and governance Nice to Have Exposure to Azure Databricks Experience with middleware tools Kafka MQ IIB Knowledge of AQR ECB reporting Personal Skills Strong analytical and problem solving ability Excellent communication skills with both ...

engineering or a similar production-focused role Strong Python (Pandas) and SQL skills Experience building and maintaining data pipelines Hands-on experience with Spark, Databricks or Delta Lake/Lakehouse architectures Familiarity with cloud data platforms, particularly within Azure environments Good understanding of data modelling, storage formats and performance optimisation ...

travel between Trust sites Desirable: Knowledge of data governance and data quality frameworks Familiarity with modern data platforms (e.g., Microsoft Fabric, Data Factory, Databricks) Experience supporting digital transformation initiatives Experience with Python or R for data analysis or transformation Experience building deployment pipelines in Microsoft 365 environment We recognise ...

shape how businesses operate in today’s digital world. Data Engineer What you will do Build and maintain scalable data pipelines using Snowflake and Databricks Manage and optimise data platforms for performance and reliability Develop modular ETL workflows and orchestrate data processes Write efficient PySpark code, including UDFs and Pandas ...

external stakeholders, including customers and regulatory authorities. Tools, Systems & Continuous Improvement Manage and optimise the use of tools (e.g. Apache Spark, AWS Glue, Databricks or equivalent). Support system enhancements of data processing and transformation, migrations, and process improvements. Contribute to the development of engineering data management policies, procedures ...

complex, regulated, or customer-centric environment Degree in a quantitative field (e.g., Data Science, Economics, Engineering, Business Analytics) Deep understanding of data platforms (e.g., Databricks, Tableau Cloud), data governance, and AI/ML applications in business contexts Strategic thinker with a bias for action and a passion for unlocking business ...

Databricks Data Engineer (Contract) | London (Hybrid) | £500–£650 per day (Inside IR35) Peaple Talent are working with a data consultancy who partner with a range of enterprise clients to deliver modern cloud data platforms. They’re currently looking for a Databricks Data Engineer to support multiple client engagements across large … scale data transformation programmes. 💻 The Role This is a hands-on Databricks Data Engineering contract where you’ll be working across different client environments, helping design, build and optimise scalable data platforms. You’ll be focused on delivering robust data pipelines and analytics-ready datasets using Databricks, working across cloud ...

making • Working closely with data engineering and platform teams • Translating complex outputs into clear, actionable insight • Agile, cross-functional delivery Tech Python, SQL, R, Databricks, PySpark, GIS tools, optimisation frameworks, cloud platforms Requirements Degree or higher in Data Science, Mathematics, Operational Research, Engineering, Physics, Geography, or similar Experience working with ...

organisation's data landscape. Experience within a regulated industry (e.g. utilities, finance, defence). Broad knowledge of modern data platforms (AWS, Azure, GCP, Snowflake, Databricks). Strong data modelling expertise. Comfortable working through ambiguity and able to communicate architectural decisions at a senior level. Apply now to speak with VIQU ...

delivering data governance and data cataloguing initiatives end-to-end • Hands-on experience with Microsoft Purview • Strong Azure Data Platform experience: ADLS Gen2, Azure Databricks, Data Factory • Hands-on data engineering experience (Spark/PySpark, Delta Lake) • Knowledge of security and compliance controls, GDPR, PII/DLP, RBAC/ABAC ...

Strong communication skills and experience working with stakeholders Desirable Experience with RAG pipelines and LLM-based solutions Exposure to Microsoft Copilot Studio Experience with Databricks, SQL or Python Knowledge of CI/CD and DevOps practices Background working in regulated environments ...

Data Science, ideally within Customer Success, Digital or Operations environments Strong SQL skills (essential) Experience with Tableau, Qlik or PowerBI Exposure to Snowflake, Databricks, Spark or ETL processes (desirable) Python experience (nice to have) Strong understanding of statistics, A/B testing and experimentation Experience working with customer/digital ...

defence). Energy/utilities experience (gas, water, power, electricity) would be highly desirable. Broad knowledge of modern data platforms (AWS, Azure, GCP, Snowflake, Databricks). Experience working within SAP environments/modules (e.g. S/4 HANA, RISE) would be advantageous. Strong data modelling expertise. Comfortable working through ambiguity ...