701 to 725 of 1,801 Databricks Jobs in England

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Deep understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques. Proven ability to handle large ...

models in production settings Experience with multimodal modelling (e.g. text + image) Familiarity with human-in-the-loop systems or moderation workflows Experience with Databricks, PySpark, or large-scale data processing systems Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching ...

degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field.Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus.Deep understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques.Proven ability to handle large datasets ...

environment using advanced experimentation techniquesAdvanced Technical Toolkit: Expert-level SQL is a baseline. You should have experience with large-scale data environments [ e.g. Snowflake, Databricks or BigQuery], visualization tools (e.g. Tableau) and digital analytics [e.g. Amplitude, Adobe or Google Analytics]Trusted Advisor Exceptional ability to "translate" technical findings ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or a related field. Knowledge in Python, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Deep understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques. Proven ability to handle large ...

infrastructure (Kafka or similar), and can talk about what broke as readily as what worked. Strong SQL, Python and warehouse fundamentals , with Snowflake or Databricks experience including query performance tuning and cost optimisation. Track record of engineering standards in dbt — testing, CI/CD, documentation and PR review workflows that ...

reusable integration frameworks. Promote API-first design, event-driven architecture, cloud-native patterns, automation, observability, resilience, and scalable support models across Azure, AWS, Databricks, Snowflake, Kafka, Solace, RMDS/TREP, and related technologies.Governance, Licensing & Operational ControlPartner with governance, compliance, audit, commercial, and technology stakeholders to strengthen market data governance, data ...

must be completed before we canproceedto an offer. Additional Preferred Qualifications Familiarity with modern data architectures, such as data lakes orlakehouseenvironments, and platforms including Databricks, Snowflake, or similar tools. Exposure toperformance analytics, benchmark analysis,backtesting, or investment research methodologies. Experience using AI-enabled tools or automation techniques to scale analytical ...

modern data stack and of graph query languages such as SPARQL, Cypher or equivalent & strong knowledge of data surface infrastructures such as Snowflake/Databricks etc. Practical experience designing knowledge graph, ontology or linked data infrastructure and the entity resolution logic that underpins it. Understanding of fixed income identifier standards ...

activation, and operations.You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform.You are proficient in SQL and can build, debug, and optimize multi-table queries, joins ...

Lead Data Engineer (Databricks) - London (Hybrid) - Up to £110,000 Databricks - Apache Spark - Delta Lake - Python - SQL - Azure We're partnering with a growing technology business investing heavily in its cloud data platform and AI capabilities. This is a senior, hands-on leadership role where you'll own the architecture … development of a modern Databricks environment, drive engineering best practice, and mentor a team of Data Engineers while shaping the future of the organisation's data strategy. The Role As Lead Data Engineer, you'll be responsible for: Leading the design, development and optimisation of a Databricks-based data platform. ...

Location: London (also considering Paris, Munich, and Amsterdam) Overview As a Partner Development Representative (PDR) at Databricks, you will play a critical role in accelerating growth across our Hyperscaler Cloud business by developing and managing strategic relationships with regional stakeholders across the EMEA region. You will … communicate effectively with senior stakeholders internally and externally. Understands the EMEA business landscape and can navigate cultural differences and regional market dynamics effectively. About Databricks Databricks is a data and AI company. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees. ...

building a fast-growing Databricks practice delivering enterprise data and AI solutions across APAC. As Lead Solution Architect – Data Engineering, you will be the technical anchor of the practice: leading solution design on client engagements, owning and defending enterprise architectures in presales, and driving large-scale migration and cloud transformation … assets, and converting delivery success into case studies and go-to-market offerings. Architecture & Delivery Own end-to-end architecture and design decisions on Databricks engagements, ensuring solutions are secure, scalable, performant, and aligned with Lakehouse best practices. Lead delivery of production-grade data platforms — ingestion, transformation, orchestration, governance through ...

join our Data & Business Intelligence team and help develop, maintain and optimise our cloud-based data platform. Working within a modern Azure and Databricks environment, you'll design and maintain scalable data pipelines, transform and model data, and ensure our data architecture provides a reliable foundation for business intelligence, reporting … understand data requirements and deliver effective solutions. Ensure data quality, accuracy and consistency through validation and monitoring processes. Design and maintain data models within Databricks and Azure SQL environments. Transform and prepare data for reporting, analytics and business intelligence. Support Power BI reporting and dashboard solutions alongside the BI team. ...

latest data technologies and trends and make recommendations for technology adoption and improvements. Skills, Knowledge and Expertise Excellent understanding of Azure data tools, especially Databricks Proven experience as a Data Engineer, working with Azure data services. Strong understanding of data modeling concepts and relational and non-relational databases. Proficiency … experience with data integration and ETL tools (e.g., Azure Data Factory, Azure Databricks). Experience with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Azure Data Lake Storage). Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus. Knowledge of data governance and data security ...

JPMorgan Chase & Co. is seeking a Senior Lead Software Engineer within Wholesale credit risk technology to push the envelope in building trusted, scalable technology products. You will guide cross-team efforts, drive AI-assisted engineering ...

leads and wider stakeholders. Technical Environment Experience with some of the following technologies would be beneficial: Python SQL Cloud platforms – AWS, Azure or GCP Databricks Apache Spark/PySpark Kafka/event-driven architectures Airflow dbt Git/GitHub CI/CD Infrastructure as Code Modern data platforms and distributed … processing technologies Experience with Databricks or Hadoop-style data processing environments is useful, although candidates with strong transferable experience across modern data platforms will be considered. Customer Data & Retail Context Experience within retail or e-commerce would be advantageous, particularly exposure to customer data environments, MarTech, CRM or digital customer ...

data zones (cleansed, conformed business layers) while securely handling identifiable data.Scalable Data Processing: Develop, tune, and monitor large-scale batch processing pipelines using Azure Databricks (Spark-based processing) and PySpark.Orchestration & Workflow: Build automated data workflows using Microsoft Fabric Data Factory and Azure Data Factory to move data efficiently across … with practical exposure to the Microsoft Fabric ecosystem (OneLake, Data Factory, Fabric Lakehouse).Big Data Processing: Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats.Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark).Security & Compliance: Direct experience ...

zones (cleansed, conformed business layers) while securely handling identifiable data. Scalable Data Processing: Develop, tune, and monitor large-scale batch processing pipelines using Azure Databricks (Spark-based processing) and PySpark. Orchestration & Workflow: Build automated data workflows using Microsoft Fabric Data Factory and Azure Data Factory to move data efficiently across … practical exposure to the Microsoft Fabric ecosystem (OneLake, Data Factory, Fabric Lakehouse). Big Data Processing: Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark). Security & Compliance ...

your team. Key Responsibilities Discipline Expertise and Leadership Technology breadth : Deep, production‐grade experience across AWS & or Azure native services, with expert-level Databricks and/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker … metadata management and cataloguing, through to advanced analytics and decision‐making. AI : You understand how AI is built and deployed in modern data platforms (Databricks, Snowflake) and cloud‐native services like Amazon Bedrock, with enough depth to guide teams and advise clients, spanning LLMs and SLMs, agentic automation, Human ...

client's data storage needs for structured and unstructured data, to enable analytics across global clients using modern data tools like MS Fabric, Databricks, or similarDesigning, architecting and implementing a real-time data solution using streaming ingestion and delivering real time analytics, to help our clients respond to customer behaviour … using distributed computing and parallel processing frameworks, such as Spark.Knowledge of Data Architecture & Data Modelling techniques.Experience working with modern data & AI platforms such as Databricks, Dataiku, DataRobot, etc.Knowledge of containerization platforms such as Docker and Kubernetes.Familiarity with software development tools, such as JIRA, Confluence, and Git.Connect to your business - Technology ...

Walters is recruiting a Senior Data & Analytics Engineer for a leading global technology business. This is a hands-on engineering role focused on SQL, Databricks, data pipelines, analytics engineering and infrastructure improvement , with AI tools used to accelerate development rather than as the core product. The Role You will work … challenge existing approaches, identify inefficiencies and propose simpler, more scalable solutions. What We're Looking For Strong SQL Data Engineering or Analytics Engineering experience Databricks or comparable platforms such as Snowflake, Hadoop or SQL Server Python and ideally PySpark ETL/ELT and data modelling Strong problem-solving and critical ...

Principal Azure Data Engineer (Databricks)Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: PermanentLead the architecture of data platforms driving the future of financial services.The RoleAs a Principal Azure Data Engineer (Databricks) at Capco, you'll architect and lead the delivery of enterprise-grade data solutions using the Databricks platform … enhance solution quality while applying sound engineering judgement and responsible AI practices.What You'll DoArchitect and lead the end-to-end delivery of Databricks-based data platforms across Azure environments.Design secure, scalable data pipelines using Delta Lake, Spark Structured Streaming, Unity Catalog, and Azure-native services, applying AI-enabled engineering ...

Senior Azure Data Engineer (Databricks)Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: PermanentEngineer advanced data solutions at scale in a world-class consulting environment.The RoleAs a Senior Azure Data Engineer (Databricks) at Capco, you will play a hands-on role in designing, building, and deploying scalable and secure data … engineering pipelines using the Databricks platform on Azure. You'll partner with clients to understand their data needs and develop innovative solutions that drive business transformation. You'll also contribute to engineering best practices and continuous improvement across cross-functional teams. Databricks platform on Azure. You'll embrace AI-enabled ...

modern cloud platforms. We specialise in the latest frameworks, reference architectures and technologies across AWS, Azure and GCP, and data platforms such as Databricks and Snowflake. Please Note Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC) clearance or DV (Developed Vetting … always available on secure networks Specialist tracks (we'd love depth in one of these; you don't need all of them) Azure/Databricks Azure Data Lake Storage, Databricks, Apache Spark, Delta Lake, Azure Data Factory, MLflow; and, for the AI edge, Databricks Mosaic AI, Vector Search and Unity ...