26 to 50 of 1,066 Databricks Jobs

reporting best practice. Experience with Azure data services such as Azure Data Factory, Azure Synapse Analytics, Azure SQL, Data Lake Storage or Databricks would be advantageous. Understanding of data governance, security, access control, data quality and data lifecycle management. Ability to troubleshoot data platform, refresh, integration, performance and configuration issues. ...

modelling and ETL/ELT concepts Experience implementing data validation and testing processes Strong communication and stakeholder engagement skills Desirable Skills Azure Data Factory Databricks Synapse Analytics Microsoft Fabric Azure SQL Data Lake technologies Experience within regulated sectors Cloud-based data platform experience ...

within the Insurance sector Strong knowledge of Life, General Insurance or Reinsurance data environments Deep expertise across Azure Data Factory, Synapse Analytics, ADLS and Databricks Strong understanding of Data Warehousing, Lakehouse architecture and modern data platforms Experience with Kimball, Inmon or Data Vault modelling approaches Knowledge of data governance, security ...

modern data engineering frameworks. Experience deploying machine learning models into production. Strong knowledge of cloud platforms such as Azure, AWS or GCP. Experience with Databricks, Snowflake or similar data platforms. Knowledge of Infrastructure as Code tools such as Terraform. Experience with Kubernetes, Docker and CI/CD pipelines. Strong understanding ...

wide range of projects that include internal and external suppliers. Essential Skills Proven experience as a Data Engineer Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience with Microsoft Fabric Experience of using programming languages such as Python, Scala and SQL. Demonstrable knowledge ...

with workflow orchestration tools (e.g., Apache Airflow, Dagster).Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg).Advanced SQL skills and proficiency in Python. Strong background in modern software development practices (testing, code review, CI/CD, Infrastructure ...

expertise in data engineering, delivering data architectures, data pipelines and solutions that are robust and scalable using modern delivery frameworks and tools (e.g. Databricks) Experience in using cloud technologies (Azure, AWS, GCP) as both infrastructure and as a service, as well as big data platforms either on-premise or cloud ...

London, United Kingdom Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production‐grade … applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ...

Market Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions. Familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms. Knowledge of market data vendors, data mastering, golden ...

cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake**Please Note:**Security Clearance: **To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.** To obtain ...

Traded Market Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions.Familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms.Knowledge of market data vendors, data mastering, golden-source ...

technical stakeholders Proficient in Microsoft Fabric platform (Great to have skill) Relevant certifications in cloud technologies are a plus, such as: Data Engineering certifications, Databricks certifications We encourage you to apply even if your profile does not meet all the requirements for the role. We are looking for a diverse ...

expertise in data engineering, delivering data architectures, data pipelines and solutions that are robust and scalable using modern delivery frameworks and tools (e.g. Databricks)Experience in using cloud technologies (Azure, AWS, GCP) as both infrastructure and as a service, as well as big data platforms either on-premise or cloud ...

thought leader in the industry by authoring white‐papers, speaking at events, and engaging with C-suite Become trusted advisor to multiple stakeholders within Databricks from product, sales, pre‐sales, marketing, to partner teams. Work closely with Sales Enablement teams to boost productivity of verticalised sales and pre‐sales teams … Partner with marketing to develop Financial Services content, collateral, blogs and demand generation plan Keynote marquee industry events and plan and execute Databricks events in Financial Services Ensure Databricks has security messaging and positioning for Financial Services What we look for Experience working as an executive (CxO) in Banking ...

Experience building and maintaining ETL/ELT pipelines Commercial experience working with Azure or AWS cloud platforms Experience with modern data platforms such as Databricks, Snowflake or Redshift Experience using orchestration tools such as Airflow, Azure Data Factory or Prefect Strong understanding of data warehousing and data modelling principles Excellent ...

Strong expertise in SQL and Python (PySpark desirable). Proven experience designing and building cloud-based data platforms from inception. Hands-on experience with Databricks, Spark, modern data lake/lakehouse architectures, and data integration pipelines. Strong understanding of data security, governance, access controls, and handling sensitive data. Experience implementing ...

pensions, insurance, or regulated financial services Experience working in multidisciplinary analytics or actuarial teams Broader exposure to Azure ecosystem tools (eg, Azure DevOps, Databricks) Key Requirement The most critical requirement for this role is hands-on, production-level experience with Azure Machine Learning Studio (AML Studio), including building and deploying ...

from AI solutions (Machine Learning and Gen AI).Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine LearningImplement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines ...

capability (semantic modelling, DAX, dataflows) and data-visualisation expertise.Strong SQL and data modelling skills, building scalable and performant solutions.Experience with modern data platforms (Databricks lakehouse, Azure cloud data ecosystem).Ability to build trusted, well-governed datasets with strong data-quality and validation practices.Proactive delivery mindset, managing priorities, dependencies and stakeholder ...

with SQL, Data modeling, optimizing and structuring queries to be used across disparate datasets. 5+ years of experience designing and building data pipelines (e.g., Databricks, Snowflake, Glue, Azure Data Factory, dbt, etc.). 3+ years of experience deploying code using a source control product like GitLab or GitHub. Proven experience ...

AI. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed 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 … rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn ...

Lead Azure Databricks Platform Engineer/Architect Hands-on Platform Engineering | Serverless | FinOps | POSIT/RStudio Migration 6 Month contract Inside IR35 - 500 a day London/Hybrid Role Purpose We are seeking a highly experienced, hands-on Azure Databricks Platform Engineer/Architect to enhance and optimise an enterprise … Data Platform. The role combines architecture with direct implementation: the successful candidate must be able to configure, develop, troubleshoot and optimise Azure Databricks rather than operate only at design or governance level. The role is centred on three outcomes: enabling and optimising Databricks Serverless, strengthening FinOps and platform controls ...

Understanding of databases, data modelling, and ETL/ELT concepts. Interest in cloud data technologies and modern data platforms. Exposure to Azure, Microsoft Fabric, Databricks, Data Factory, or similar technologies would be advantageous. Strong analytical, problem-solving, and communication skills. What's on Offer Opportunity for graduates and junior-level ...

Python and SQL Experience with data integration tools such as Azure Data Factory Familiarity with modern data platforms including Microsoft Fabric and/or Databricks Expertise in data visualisation and analytics tools such as Power BI, QlikView or Tableau Strong experience in data modelling, transformation, ETL/ELT pipelines ...

analytics engineering processes, tools and best practices across the wider data community. Key Requirements Strong hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments. Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines ...