426 to 450 of 1,314 Databricks Jobs in London

features. Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes).Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines).Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI)Strong problem-solving abilities, with the capacity to learn ...

changed how you work, not just how fast. We expect you to enjoy leveraging AI and agentic systems to operate more effectively.Tech environmentScala | Spark | Databricks | AWS | Claude | Airflow | Kubernetes | Terraform | Functional ProgrammingYou will thrive here if youEnjoy end-to-end ownership, from writing the code to architecture design to coaching ...

Experience designing and enforcing data contracts and quality SLAs in distributed data ecosystems. Proficiency in Python, Java, or Scala, and experience building pipelines with Databricks, Spark, or Kafka. Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices. Familiarity with metadata management and data catalog ...

work, not just how fast. We expect you to enjoy leveraging AI and agentic systems to operate more effectively. Tech environmentScala | Spark | Databricks | AWS | Claude | Airflow | Kubernetes | Terraform | Functional ProgrammingYou will thrive here if youEnjoy end-to-end ownership, from writing the code to architecture design to coaching others through ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Proficient in Python, R, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. Strong understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques. Skilled in handling large datasets ...

several of the areas below and working knowledge across the rest. AI platform & cloud architecture Architect AI andDataPlatforms using a mix of technologies including Databricks, Snowflake,Claude Enterpriseand the native services of Azure,AWSand GCP-selecting the right tool for the workload rather than defaulting to a single vendor. Design ...

prioritising investment decisions. Demonstrated success working with cross-functional teams in Agile environments. Familiarity with modern cloud data platforms and technologies, including Azure, Databricks and dbt. Strong understanding of data governance, data quality and security best practices. Ability to work confidently with technical teams and translate complex concepts into business ...

creating roadmaps and prioritising investment decisions.Demonstrated success working with cross-functional teams in Agile environments.Familiarity with modern cloud data platforms and technologies, including Azure, Databricks and dbt.Strong understanding of data governance, data quality and security best practices.Ability to work confidently with technical teams and translate complex concepts into business outcomes.Exceptional ...

Bring4+ years of professional experience building and shipping production-quality software.Strong SQL skills and real experience integrating with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, or similar).Solid grounding in at least one of Java or Python, and willingness to be effective in both.A genuine DevOps mindset: comfortable owning build ...

Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field.· Proficient in Python, R, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus.· Strong understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques.· Skilled in handling 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 ...

following areas: Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps ...

/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud platforms and data science environments such as Azure, AWS, GCP, Databricks or equivalent to build and deploy scalable ML solutions.Strong communication, stakeholder management and problem-solving skills, with the ability to explain complex modelling approaches, trade-offs ...

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 ...

partners, and it moves faster than a normal product organisation is allowed to.inference workloads Data foundations: pipelines and lakehouse patterns (Microsoft Fabric/OneLake, Databricks, or equivalents), streaming and event-driven integration where the problem demands it Enterprise integration: API design and consumption at scale, including REST, OData, GraphQL ...

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 ...

TitleAnalytics EngineerJob Description SummaryAnalytics Engineer | Databricks | Agentic AI | EMEA & APAC We lead the data transformation of our EMEA and APAC business, and we are looking for an Analytics Engineer to join us. Our lakehouse platform is mature and well established. It is built on Databricks and already runs the business … business, and we are looking for an Analytics Engineer to join us. Our lakehouse platform is mature and well established. It is built on Databricks and already runs the business end to end. What comes next is the harder part, putting agentic capability to work at real enterprise scale ...

A leading technology company is seeking a Senior Data Engineer to design and implement a cloud-based data platform. The role requires expertise in Azure data tools and a strong understanding of data modeling and ...

Title Analytics Engineer Job Description Summary Analytics Engineer | Databricks | Agentic AI | EMEA & APAC We lead the data transformation of our EMEA and APAC business, and we are looking for an Analytics Engineer to join us. Our lakehouse platform is mature and well established. It is built on Databricks and already … business, and we are looking for an Analytics Engineer to join us. Our lakehouse platform is mature and well established. It is built on Databricks and already runs the business end to end. What comes next is the harder part, putting agentic capability to work at real enterprise scale ...

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. ...

Canopius is looking for a Data Architect in Greater London to drive the end-to-end design of their enterprise data architecture. You will work closely with cross-departmental teams to ensure effective data management ...

automation tasks.Key Responsibilities:Azure Platform Support & MonitoringSupport and maintain Azure-based data solutions, including:Azure Data Factory (ADF) pipelines, dataset, linked service, triggerAzure Databricks (Spark jobs, notebooks, clusters)Azure Machine Learning models and endpointsPower BI dashboards and dataset refreshesMonitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure … Monitor, Log Analytics, and custom alerting. DevOps & AutomationKnowledge in maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, etc. for ADF, Databricks and ML models deployments.Develop automation scripts using Python, PowerShell, or Bash to reduce manual intervention and improve service reliability.SQL and Data Warehouse OperationsWrite, optimize, and troubleshoot ...

hands-on design experience with cloud-based services for modern analytics on the Microsoft Cloud (e.g. e.g. Azure Data Lake, Azure Data Factory, Azure Databricks & Unity Catalog, MS Purview, PowerBI, Ms Fabric) Deep expertise in data architecture, including data modelling (conceptual and logical), Master and Reference Data Management, data quality … 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), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise ...