251 to 275 of 670 Permanent Databricks Jobs

multi-disciplinary teams delivering data solutions to clients across sectors. You’ll design and implement end-to-end data platforms on cloud data platforms (Databricks, Snowflake, AWS, Azure or GCP), with hands-on experience in data modelling, quality, and orchestration tools, driving business #J-18808-Ljbffr ...

office between 1 to 2 times per week. You will help build and evolve a financial data platform developed on top of Databricks and used by major enterprise clients. The platform supports the ingestion, transformation, modeling, and delivery of complex financial data. This is primarily a backend and data-platform … services, APIs, data pipelines, and data models while collaborating closely with an established engineering team in Edinburgh. The ideal candidate has substantial hands-on Databricks experience and can become productive in a complex data environment. You should be comfortable taking ownership of well-defined areas of work while gradually building ...

operational excellence. Key Skills Azure IaaS, PaaS and SaaS Azure DevOps and CI/CD pipelines Terraform, ARM, Bicep and PowerShell Azure Data Factory, Databricks, Synapse and Data Lake Kubernetes and container technologies Networking, Firewalls and Application Gateway SQL and NoSQL platforms Azure security, governance and cloud migrations For more ...

developing time-series forecasting models, ideally within energy, commodities, financial markets or another data-intensive environment. Knowledge of SQL is essential, with experience of Databricks and exposure to energy or commodity trading considered advantageous. Please complete the form below, your data is processed here under legitimate interest. Please also note ...

machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager ...

machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager ...

/Lead Location : London (Hybrid) Comp : £115,000 P/A (FTC) Duration: 12 Months Skills: Python (Programming Language), SQL, Apache Spark, PySpark, Azure Databricks, Data Lakes, Data Warehouse Architecture, Leadership, Software Development, Management The role We're partnering with a large, data-driven organisation seeking an experienced technology leader ...

engineering teams through implementation Influencing architectural strategy and long-term capability Technology environment You'll typically be working across: AWS, Azure and Google Cloud Databricks and Snowflake Lake, lakehouse and modern warehouse architectures Distributed data processing platforms DevOps, Infrastructure as Code and secure deployment patterns Data governance, access control ...

What You'll Need to be Considered Strong expertise with SQL Server, SSAS, Azure Data Factory, and T-SQL Experience with ClickHouse, Snowflake, BigQuery, Databricks, or similar columnar platforms Production-level development experience in Python and/or Go Experience designing event-driven architectures utilizing REST, Kafka, NATS ...

working directly alongside portfolio managers or quantitative researchers Experience with any of the following would be advantageous: S&P Xpressfeed Snowflake Bloomberg MSCI Barra Databricks Quantitative equity research platforms Large Language Models (OpenAI, Claude) Additional Information Initial contract opportunity Excellent day rate Hybrid working in London Permanent opportunities may also ...

networking, identity, integration and security. Azure DevOps and modern CI/CD delivery pipelines. Azure integration services and enterprise application integration. MuleSoft integration platform. Databricks and modern data platform technologies. Microsoft SQL Server. Enterprise networking concepts including firewalls, proxies, load balancing and secure connectivity. Producing high-quality architecture documentation ...

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. ...

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. ...

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. ...

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 ...

languages used for data science (for example, Python, R) to deliver analytical data projects. Experience using modern cloud technologies (for example, AWS/Azure Databricks), including applying to deliver advanced analytical projects. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order ...

proceed to an offer. Additional Preferred Qualifications Familiarity with modern data architectures, such as data lakes or lakehouse environments, and platforms including Databricks, Snowflake, or similar tools. Exposure to performance analytics, benchmark analysis, backtesting, or investment research methodologies. Experience using AI-enabled tools or automation techniques to scale analytical workflows ...

including relevant frameworks (e.g., Agents SDK, Anthropic SDK, AWS Bedrock, LangGraph, CrewAI). Experience with cloud platforms (AWS, Azure, GCP) or ML platforms (e.g., Databricks). Exposure to fraud detection, anti‐money laundering, anomaly detection, or graph/network‐based modelling. Understanding of model risk management, governance, and regulatory controls ...

client‐facing or consulting settings. Ideally, you’ll also have, but not essential: Familiarity with the Azure AI ecosystem (Azure ML, Azure OpenAI, Databricks/Fabric). Experience supporting business development or pre-sales. Domain depth in a regulated or data‐rich industry. Contributions to open source, publications ...

experience with Azure Foundry for building, evaluating, and deploying generative AI models and agents Working knowledge of data platform concepts and technologies (especially databricks) Experience establishing or evangelizing agentic tooling practices within a team Experience in the energy sector or regulated industries Language skills: English: Fluent (required - daily working language ...

model outputs to business users. Exposure to financial modeling, cost optimization, or pricing analytics. Experience working in modern data and ML platforms such as Databricks, Snowflake, and Azure ML. Candidate must be authorized to work in the U.S, now or in the future, without the support from McKesson. ...

ensuring our architecture supports our agile goals. To be successful as a Senior AWS Developer, you should have experience with: Practical working experience with Databricks Hands-on software development, with coding experience in Python, applying industry-standard engineering practices to deliver scalable, high-quality solutions. AWS cloud development, with practical ...

capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side‐by‐side with top partners, including Anthropic, Databricks, AWS, OpenAI, and Microsoft, to deliver modern AI with speed and measurable impact. The Opportunity Ready to tackle the most complex challenges in energy trading ...

inference, forecasting, and statistical modeling in a product environment. Expertise in Python or R, fluency in SQL, and experience with large‐scale data tech (Databricks, Airflow, dBT a plus). Experience with FinTech, payments, crypto, or blockchain data is a strong plus. Advanced degree (MS, PhD) in a quantitative field ...

recognized as a credible technologist and escalation authority by senior technical stakeholders Platform Familiarity: Strong working knowledge of enterprise data and cloud platforms (Snowflake, Databricks, AWS, GCP, Azure), sufficient to shape architecture decisions and rollout strategy at an enterprise scale Governance Background (preferred): Meaningful exposure to data or AI governance ...