76 to 100 of 579 Databricks Jobs in England

that support analytics and decision-making Solid coding skills in SQL and Python (Spark/SQL variants beneficial) Experience with cloud data platforms (Azure, Databricks, Snowflake, or similar) Understanding of modern data architectures (e.g. medallion/lakehouse approaches ) Exposure to Agile delivery and collaborative, cross-functional teams Confident communicator with ...

working with a leading technology consultancy delivering secure, mission critical digital capabilities across Secure Sector programmes. They’re looking for an experienced Databricks Data Engineer to design and build scalable, resilient data applications that support operational users, analytics platforms, and AI-enabled capabilities. This is a hands-on technical role ...

with the SQL Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/SQL Server ...

Previous experience as a Data Platform Architect, Data Architect, Cloud Architect, or similar Strong expertise designing cloud-native data solutions on AWS Experience with Databricks, Redshift, Snowflake, or related technologies Understanding of modern data engineering and analytics frameworks Exposure to AI and Machine Learning technologies Strong knowledge of data governance ...

Azure or GCP also considered) * Experience with Docker, Kubernetes and CI/CD tools * Familiarity with Infrastructure as Code, ideally Terraform Desirable * Experience with Databricks, Snowflake or BigQuery * Cloud certifications (AWS, Azure or GCP) * Experience mentoring junior engineers or working in a consulting environment This is an excellent opportunity ...

identify trends and business opportunities. Excel Advanced Excel skills, including: Power Query Power Pivot Complex formulas and modelling techniques Preferred Skills: Experience working with Databricks in a modern data platform environment. Knowledge of dbt (Data Build Tool) for data transformation and modelling. Familiarity with cloud-based data platforms, particularly Microsoft ...

through data. You'll ideally have experience with: Python, SQL and either R or similar analytical languages. Machine Learning, predictive modelling and statistical analysis. Databricks or comparable cloud-based analytics platforms. Tableau, Power BI or other data visualisation tools. Working with cloud data platforms, data lakes and enterprise data warehouses. ...

pipelines and modern engineering practices Exposure to MLOps/LLMOps principles Experience working with at least one cloud hyperscaler (AWS, Azure, GCP, or Databricks) Strong Agile delivery experience (Agile, SAFe, XP, Jira, Confluence, etc.) Proven ability to lead technical programmes and cross-functional teams Strong stakeholder management and client-facing ...

experience designing and evolving enterprise-scale data platforms Deep expertise in cloud-based data and analytics services on the Microsoft Azure platform (e.g. Azure Databricks, Azure ML) Experience shaping proofs of concept and evolving designs into production solutions Strong stakeholder engagement skills, including engagement with senior stakeholders Experience leading ...

experience designing and evolving enterprise-scale data platforms Deep expertise in cloud-based data and analytics services on the Microsoft Azure platform (e.g. Azure Databricks, Azure ML) Experience shaping proofs of concept and evolving designs into production solutions Strong stakeholder engagement skills, including engagement with senior stakeholders Experience leading ...

level understanding of data platform architecture and integration. Experience working alongside technical teams and solution architects. Familiarity with cloud-based data technologies such as: Databricks Azure Data Factory Power BI Understanding of data warehousing and data modelling concepts. Awareness of data governance, security and compliance principles. Skills & Attributes ...

implementing analytical environments for credit risk. Able to design scalable solution architecture for credit risk platforms. Desirable Experience designing architectures involving Azure Data Lake, Databricks, AWS, GCP or similar modern data platforms. Relevant cloud certifications (e.g. Azure Solutions Architect Expert). Experience working within regulated industries (finance or other data ...

identity management, and governance frameworks. Ability to balance strategic thinking with hands-on problem solving. Desirable Experience designing architectures involving Snowflake, Azure Data Lake, Databricks, or similar modern data platforms. Relevant cloud certifications (e.g. Azure Solutions Architect Expert). Experience working within regulated industries (finance or other data-sensitive environments ...

science, machine learning or data engineering, including experience with Python and/or R. Strong understanding of cloud‐based technologies and solutions (Azure and Databricks preferred), DevOps practices and API‐driven architectures. Experience with large language models (LLMs), generative AI technologies including AI agents and their practical applications. Proven experience ...

DevOps Engineers, and Solution Architects who help our clients deliver and operate cloud data platforms on AWS, Azure and GCP, including technologies such as Databricks and Snowflake. As a DataOps Engineer, you will partner closely with engineering and delivery teams to standardise ways of working, improve data application reliability ...

Preferred: Experience working in gaming, digital products, consumer technology, e‐commerce or subscription businesses. Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow. Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI. Experience applying AI tools, including ...

real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks* Ability to think strategically and relate architectural decisions and recommendations to customer needs.* Ability to assess traditional and modern data architectural components based on business ...

real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks Ability to think strategically and relate architectural decisions and recommendations to customer needs. Ability to assess traditional and modern data architectural components based on business ...

development standards and best practices. About you Extensive experience designing and delivering enterprise-scale data engineering solutions Strong hands-on experience with Azure Databricks, including PySpark, Delta Live Tables and Databricks Workflows and orchestration Microsoft Fabric experience, including Lakehouse, Data Factory, Warehouse and Spark Knowledge of Azure Data Platform services ...

consumption of generative AI services. Support analysis across AI platforms and providers such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic, Databricks and Snowflake AI services where relevant. Provide insight into emerging AI pricing models and token-based cost structures to help teams make more informed technology ...

master data management Knowledge of data governance, metadata management, and data quality frameworks Hands-on experience with technologies such as Azure Data Factory, Databricks, Snowflake, Microsoft Fabric, Airflow, or similar Excellent stakeholder management and communication skills Experience mentoring engineers and providing technical leadership Strong analytical and problem-solving abilities Experience … Hybrid and flexible working options Opportunity to shape enterprise-wide data strategy and architecture Work with cutting-edge cloud technologies including Azure, Microsoft Fabric, Databricks, and Snowflake Technical leadership role with significant influence across the organisation Ongoing professional development and certification opportunities Collaborative engineering culture with genuine career progression INTERVIEW ...

audit requirements. Extensive experience designing and implementing resilient data ingestion, orchestration, and provisioning capabilities for enterprise-scale workloads. Strong hands‐on experience with Databricks (AWS and/or Azure), including Lakehouse architecture, distributed processing, and production operations. Strong hands‐on experience with Apache Kafka and event-driven integration architectures. Proven … engineering solutions. Desirable: Experience in financial services, with exposure to ETD and OTC derivative markets highly desirable. Hands‐on experience with: Azure Data Factory, Databricks Asset Bundles, Power BI, Dbt, NodeJS, Amazon API Gateway Experience working with Kafka or similar Experience with Azure DevOps (ADO), Bitbucket, and Git‐based workflows. ...

Developer/Senior Developer - Azure Data Platform/DataBricks Location: Leicester (Hybrid: 3 days per week in-office) Contract Type: 12-Month Fixed Term Contract Job Schedule: Full-time The Opportunity We are seeking a skilled Developer/Senior Developer to join a rapidly expanding Business Intelligence Systems team … within an agile, multidisciplinary team to support and enhance over 70 active BI products. What You'll Bring Essential Skills & Experience: Core Technologies: Azure Databricks (or similar Spark-based platforms) and Azure Data Factory (ADF). Languages: SQL and Python. Data Platforms: Azure Data Lake and SQL Server RDBMS. ...

Senior Manager, Databricks Architect, AI & Data, FS Location: London Other locations: Primary Location Only Date: 11 Jul 2026 Overview The EY Financial Services AI & Data team is continuing to grow and develop unique advisory propositions aligned to market needs and demand. We are currently looking for an exceptional Senior Manager … help them design and implement modern data visualisation and reporting solutions Key Responsibilities Lead the design and implementation of scalable data architecture solutions using Databricks on Azure . Architect and optimize data pipelines for structured and unstructured financial data, ensuring performance, reliability, and compliance. Demonstrate prior experience in standing ...

data solutions. Key Responsibilities Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks , Snowflake , AWS and GCP . Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver ...