201 to 225 of 647 Permanent Databricks Jobs

in Java/Scala/Unix/Shell programming Skilled in data analysis, exploration, and modeling Experience working in an Agile delivery environment Expertise in Azure Preferred Skills: AWS Databricks Finance domain knowledge More ❯

AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR). Experience with Azure technologies (ADF, Synapse, Fabric, Azure Functions) is also valued. Strong understanding of modern data lakehouse architectures , such as Databricks , Snowflake , or Microsoft Fabric (highly desirable). Exposure to Palantir Foundry or Gotham is an advantage. Relevant industry certifications (e.g. DAMA , DCAM ) are preferred. More ❯

builds, and scaling scene processing on Ray. You’ll also: Build high-performance data pipelines for multimodal datasets (3D, video, sensor). Optimize distributed training and processing across Spark, Databricks, and Kubernetes. Work with researchers to productionize PyTorch models and streamline ML workflows. Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills More ❯

builds, and scaling scene processing on Ray. You’ll also: Build high-performance data pipelines for multimodal datasets (3D, video, sensor). Optimize distributed training and processing across Spark, Databricks, and Kubernetes. Work with researchers to productionize PyTorch models and streamline ML workflows. Develop tools that make data discoverable, reusable, and reliable throughout the ML lifecycle. You Strong Python skills More ❯

in production. Excellent use of Python Particular experience in NLP, LLMs, and RAGs are highly prized given the focus on these projects. CI/CD & MLOps experience is valued Databricks experience is valued If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a More ❯

on to mentor teams on technical delivery Background in the banking/financial services sector Strategic mindset with a delivery-focused leadership style Tech Environment: Azure Data Stack (Synapse, Databricks, Azure SQL, Power BI) SQL, Python Legacy systems primarily in SQL Server Interview Process: Initial 30-minute informal converdation 60-minute technical/competency interview with Engineering Managers Final More ❯

on to mentor teams on technical delivery Background in the banking/financial services sector Strategic mindset with a delivery-focused leadership style Tech Environment: Azure Data Stack (Synapse, Databricks, Azure SQL, Power BI) SQL, Python Legacy systems primarily in SQL Server Interview Process: Initial 30-minute informal converdation 60-minute technical/competency interview with Engineering Managers Final More ❯

leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

and above but all backgrounds considered). Commercial Data Science experiemcn Excellent Python & SQL skills. Strong Machine Learning & Statistical knowledge Ideally LLMS/GenAI experience. Spark and/or Databricks experience would be a lovely bonus. If this role interests you and you would like to learn more, please apply here or contact us via niall.wharton@Xcede.com (feel free to More ❯

best practices. To be successful in this role, you will have: Extensive data architecture experience within a cloud environment Strong data modelling experience Knowledge of Azure Cloud Services including DataBricks, Azure Data Factory and Azure SQL. Experience designing and maintaining data warehouses, lakes and lakehouses. Excellent communication skills, with the ability to influence both technical and non-technical stakeholders. Some More ❯

and deep learning Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Experience with cloud platforms (GCP, AWS, Azure) and tools like Dataiku and Databricks Experience with ML Ops, including deployment, monitoring, and retraining pipelines Ability to work cross-functionally with marketing, CRM, and engineering teams Excellent communication and stakeholder management skills Experience in a More ❯

Quantexa - Proven expertise in cloud platforms (Azure strongly preferred) and hybrid deployment models - Strong programming and scripting skills for system integration and automation - Experience with data platforms such as DataBricks and Snowflake - Deep understanding of financial services compliance requirements - Excellent problem-solving and cross-functional collaboration skills Preferred Qualifications - Advanced degree in Computer Science, Engineering, or related field - Cloud architecture More ❯

innovation across the business as our client continues their journey into Azure Cloud Services. To be successful, you will have recent experience owning & delivering an Azure-based data platforms (Databricks, streaming device data, Smart Data, ERP systems) coupled with hands on capabilites implementing robust data ingestions pipelines (ETL/ELT) and introduced even-driven architecture (Kafka) to enable scalable, real More ❯

Apps, Model-driven Apps, Power Pages), Power Automate (Flows), and Copilot Studio. Stakeholder and customer management skills. Wider Azure stack, such as LogicApps, Azure Service Bus, Azure Functions, Azure DataBricks, Azure DataLakes and DevOps. Desirable Industry-standard qualifications such as TOGAF Practitioner Understanding of the Success by Design principles C#, Python, SQL, .Net, D365 CRM, CRM Plugins, PCF Controls, Azure More ❯

long-term client relationships is a must have. Relevant data or AI qualification (e.g. CDMC, DAMA, DCAM, ISACA ) Hands-on experience with data and AI platforms such as Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, or AWS Experience with data analytics tools such as Alteryx, Tableau, Power BI, SQL , etc. Two stage interview process to start ASAP. More ❯

closely with other engineers, analysts, and client stakeholders to deliver reliable, automated, and high-performing data solutions end to end. What We're Looking For • Strong experience with Python, Databricks and tools like Airflow • Confident working across Cloud Platforms (AWS, Azure, GCP) • Great communication skills and the ability to work with both technical and non-technical teams • Comfortable in a More ❯

senior-level relationships (CTO, CIO, CDO, COO, CFO, Heads of Engineering/Data/AI). Develop and maintain co-sell pipelines with partners such as AWS, Azure, GCP, Databricks, Snowflake, Palantir, and leading AI and security partners. Drive demand generation through events, partner initiatives, and strategic outreach. Maintain accurate forecasting and CRM discipline. Candidate Profile 10+ years of experience More ❯

Act. Preferred Qualifications: AWS Security Specialty Certification or equivalent experience demonstrating deep knowledge of cloud security practices Experience with security configuration and compliance management for data platforms such as Databricks Strong familiarity with DevOps workflows and CI/CD pipelines, particularly within regulated environments requiring strict compliance and auditability (e.g., financial services, healthcare, or other high-assurance domains More ❯

closely with other engineers, analysts, and client stakeholders to deliver reliable, automated, and high-performing data solutions end to end. What We’re Looking For Strong experience with Python, Databricks and tools like Airflow Confident working across Cloud Platforms (AWS, Azure, GCP) Great communication skills and the ability to work with both technical and non-technical teams Comfortable in a More ❯

senior-level relationships (CTO, CIO, CDO, COO, CFO, Heads of Engineering/Data/AI). Develop and maintain co-sell pipelines with partners such as AWS, Azure, GCP, Databricks, Snowflake, Palantir, and leading AI and security partners. Drive demand generation through events, partner initiatives, and strategic outreach. Maintain accurate forecasting and CRM discipline. Candidate Profile 10+ years of experience More ❯

high-quality solutions. Champion data integrity, security, and performance across platforms. What We're Looking For Extensive experience in data architecture and modelling. Strong knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven More ❯

high-quality solutions. Champion data integrity, security, and performance across platforms. What We're Looking For Extensive experience in data architecture and modelling. Strong knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven More ❯

high-quality solutions. Champion data integrity, security, and performance across platforms. What We’re Looking For Extensive experience in data architecture and modelling. Strong knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven More ❯

high-quality solutions. Champion data integrity, security, and performance across platforms. What We’re Looking For Extensive experience in data architecture and modelling. Strong knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven More ❯