276 to 300 of 764 Databricks Jobs

standardisation across cross-market apps, develop consolidated strategies, and translate platform capability into measurable outcomes. You will design scalable data pipelines with AWS Glue, Databricks, DIH and S3; build ETL processes; and create applications using Python and SQL. A background in financial services, ideally investment banking, is highly desirable. #J ...

code, support data engineering and ML teams, and drive automation and operational excellence. The role requires strong Python/Java development, experience with AWS Databricks, SRE concepts, and secure coding practices. #J-18808-Ljbffr ...

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 ...

evolution of data architecture and helping define long term strategy Work within a modern cloud environment using tools such as Microsoft Fabric and Databricks YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: Strong commercial experience in data modelling across analytics or data platform environments ...

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 ...

cloud migrations and multi-region deployments. Exposure to SRE concepts. Experience with GitHub Actions, Jenkins, GitLab CI/CD or Bamboo. Knowledge of MLOps, Databricks, Snowflake, Kafka/Event Streaming, Ansible or Chef. Knowledge of FinOps and Azure cost optimisation. Experience working within BFSI environments with security and compliance requirements. ...

must be in place before start date). Desirable Skills Experience with Microsoft Azure and Azure-based data or ML services (eg Azure ML, Databricks, Synapse). Familiarity with MLOps, cloud deployment, or production model management. Experience working in cross-functional agile teams. Exposure to government or public sector data ...

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 ...

PowerPoint skills. Understanding of Marketing Mix Modelling (MMM) and marketing analytics. MMM - Running base model, supporting MMM or Marketing Analytics projects. Desirable: Power BI, Databricks Personal Skills Proactive, independent and self-driven. Curious and investigative; enjoys getting to the root cause of issues. Strong attention to detail and data quality. ...

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 ...