526 to 550 of 1,315 Databricks Jobs in London

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 ...

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 ...

code as your default way of working rather than something you've picked up Substantial experience with a modern lakehouse or warehouse platform — Databricks ideally, or Snowflake/BigQuery — including the performance, cost and governance decisions that come with running one at scale Real production experience with Fivetran … owning experience for everyone. Our Technology Stack We believe in using the right tool for the job. Our current stack includes: Data Platform: Databricks, dbt, Fivetran Languages: Python, SQL Databases: SQL Server (legacy, being modernised), plus lakehouse storage on S3 Cloud & Infrastructure: AWS (EventBridge, Kinesis, Lambda, S3, EC2), Terraform (Infrastructure ...

# Technology Architect - Databricks at N Consulting LtdWork mode: Hybrid Number of days a week worked in the office: 3 Contract duration: 8 months Location: London End client: Bank --------------------------------------- JOB DETAILS Role Title: Technology Architect Technology Architect – Databricks with over 12 years of experience in designing and leading large scale … data engineering, analytics, and cloud transformation initiatives. The ideal candidate will have deep expertise in Databricks, big data architectures, cloud platforms (Azure), and modern data engineering frameworks. This role will be responsible for defining end to end architectural solutions, driving best practices, and guiding engineering teams to deliver scalable, secure ...

Engineering team in the UK. You will build and govern data infrastructure powering our platforms, using Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks to move data securely from source to decision-ready output. You will implement end-to-end ingestion sources, investigate and fix pipeline issues, and ensure ...

data quality and drift detection, and drive a governed retraining lifecycle while collaborating with data scientists, data engineers, and DevOps on Azure/AWS, Databricks, and Snowflake. #J-18808-Ljbffr ...

analytics solutions that drive action-led insights across Elizabeth Line functions. You will translate operational challenges into scalable technical solutions leveraging Power BI, Databricks and Python. The role requires building automated workflows with Power Automate and Power Apps, ensuring data quality and governance across multiple sources, and collaborating with #J ...

Xiatech in London is seeking a Senior Insight Analyst to drive data-driven decisions by building analytics pipelines in SQL, using Databricks with Python, and creating dashboards in Tableau or Power BI. You will collaborate with cross-functional teams, mentor juniors, and help shape analytics infrastructure while advancing your career ...

across the Group. Reporting to the CIO, you will lead analytics, governance, and value realisation, building capable data teams and leveraging Azure, Power BI, Databricks, and other modern platforms to drive operational efficiency #J-18808-Ljbffr ...

consultants. Ideal candidates will have 3–5 years in data science, strong Python and SQL, and hands-on ML library experience. Familiarity with Snowflake, Databricks and Fabric is advantageous. #J-18808-Ljbffr ...

drive a cloud-native transformation and oversee data integrity across on-prem and cloud platforms. The role targets expert ETL with Azure Data Factory, Databricks, Synapse Analytics, and other cloud technologies, coordinating with IT and finance stakeholders to deliver scalable data workflows and robust documentation. #J-18808-Ljbffr ...

seeking a QA-focused data specialist to own the testing of client data platform deployments. You will design and execute structured test programmes for Databricks pipelines, validate data quality across bronze–silver–gold stages, and ensure accuracy and completeness of analytics data. You will work with AI-assisted tooling ...

data platforms, AI/GenAI, automation, or digital transformation. Desirable Experience delivering large-scale retail, digital, data, or analytics transformation programmes. Familiarity with Azure, Databricks, and enterprise data platforms. Experience working with AI/GenAI-enabled solutions and data products. #J-18808-Ljbffr ...

segmentation and measuring the impact of loyalty initiatives Supporting personalised targeting, promotions, and CRM activity Building and enhancing reporting using SQL, Power BI, and Databricks Designing and evaluating tests across loyalty, rewards, and communications Partnering with Marketing, Ecommerce, Product, and Data Science teams to maximise programme performance Your Skills & Experience ...

data applications - scoping and implementing architectural improvements for long-term global scalability, robustness and operational efficiency Interface with the established data warehouse, built on Databricks Take ownership of data platform improvements that enhance the capabilities for all teams and drive trust in the stability of the system Requirements Strong aptitude ...

from scratch Awesome to have Experience with open banking data or affordability modeling Familiarity with building dashboards for model monitoring, ideally with tools like Databricks Experience with monitoring and observability tools such as Datadog Background in underwriting, credit risk, or fraud detection use cases Please include a CV in English ...

work across Power Automate, Power Apps, Copilot, Claude, SharePoint and Teams, with the opportunity to develop further into areas such as Python, SQL, APIs, Databricks and AI agents. Desired background/skillset: Some practical experience or a strong interest in Microsoft Power Automate, Power Apps and Microsoft 365, particularly SharePoint ...

work across Power Automate, Power Apps, Copilot, Claude, SharePoint and Teams, with the opportunity to develop further into areas such as Python, SQL, APIs, Databricks and AI agents. Desired background/skillset: Some practical experience or a strong interest in Python, SQL Microsoft Power Automate, Power Apps and Microsoft ...

within insurance. Strong programming skills in at least one language, ideally Python. Experience using Radar or a similar tool such as Earnix. Exposure to Databricks and Power BI would be an advantage. A numerate degree (2:1 or above) in mathematics or a related discipline. Knowledge of actuarial techniques, such ...

foundation in statistics, machine learning, and mathematical modelling. Experience designing evaluation frameworks for AI systems, including model performance and monitoring. Hands-on experience with Databricks, MLflow, Spark, or similar cloud-based data platforms. Knowledge of responsible AI, model governance, and explainability. Strong communication skills with the ability to explain complex ...

Python skills, including FastAPI and Pytest. Experience within a regulated environment. Desirable Docker, Kubernetes, Helm, Serverless, GitOps and CDK. Penetration testing exposure. Snowflake, MongoDB, Databricks, GitHub and Terraform Cloud. Certifications Associate-level cloud certification (AWS, Azure, GCP or equivalent). Cyber security certification such as CySA+, CISA, GSEC, SSCP ...

teams Experience managing complex, multi‐team technology and data deliveries Strong understanding of data platforms and data engineering environments Experience working with Data Lakes Databricks experience is a big advantage! Excellent stakeholder management, facilitation and communication skills Experience with Agile, Scrum and Lean delivery practices Strong ability to manage dependencies ...