1 to 25 of 125 Databricks Jobs in England with Remote Work Options

applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and SQL. Experience with big data technologies and tools such as Databricks and PySpark is highly desirable. Essential experience in Probabilistic Risk Modelling. Highly desirable experience with Monte Carlo, Capula, Gamma, Statistical modelling, financial modelling, and Stochastic more »

INFOLEAD DATA ENGINEERREMOTEUP TO 75,000 + BENEFITSPERMANENTAre you an expert at using Pyspark and Databricks? Do you have prior experience working within the healthcare industry? This role is a fantastic opportunity to work with a large organisation on some massive and challenging projects.THE COMPANYThis company is a leading healthcare more »

Job descriptionHead of BI and DataNFI03022023SF-4_1675418431My clients is an established organisation within the transport industry who are looking for a Head of BI and Data to add on to their fast growing team. My client has a lot more »

best practice solutions. * Develop strong relationships with key stakeholders to ensure smooth operational delivery.Skills & Qualifications * Some technical knowledge of Azure Data; Azure Data Factory, Databricks, Azure SQL, Azure Synapse - or similar transferable experience within the Microsoft stack. * Experience leading a team within the IT space. * Confident in speaking to and more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

experience in data engineering roles, preferably within a consulting firm. Proficiency in Azure data services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc. Strong understanding of ETL processes, data modeling, and data warehousing principles. Experience with programming languages such as SQL and Python. Familiarity more »

Unlock the potential of metadata within the data, exploring innovative methods to extract valuable insights. Experience Required: Proficient data engineering experience Experience with Azure Databricks and building ETL pipelines Package: Up to £120,000 Competitive Bonus Market leading benefits Hybrid working How to Apply: If you’re interested, submit your more »

person to have worked on real-time Azure projects in various commercial domains. The person will have exposure to modern data tools including Azure Databricks, Cosmos, and data integration technologies. Additional exposure to working with data science teams, and supporting machine learning activity would be highly valued. MAIN RESPONSIBILITIES Be more »

Knowledge of OO programming, software design, i.e., SOLID principles, and testing practices. Knowledge and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/modelling and insurance are a plus. Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

and analytics Desired experience: Worked with Python 3.9+ Familiar with Python test automation Experience with SQL and Timeseries databases Familiar with Parquet, Arrow, Airflow, Databricks Experience with cloud AWS services, such as S3, EC2, RDS etc Quality engineering best practice and tooling including TDD, BDD This is an inside IR more »

business benefits. Regularly launching products and services resulting from your work and actively contributing to their success. Experience we are seeking: Good understanding of DataBricks and PySpark. Proficient knowledge of SQL and CosmosDB (or similar) databases. Expertise in designing, constructing, administering, and maintaining data warehouses and data lakes. Familiarity with … Catalog, and Master Data Management. (You will be skilled up in this sought after area) Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, Azure ML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written communication skills. Please apply if of interest. more »

techniques and the CRM environment. RESPONSIBILITIES: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the business Building predictive, segmentation and personalisation-based models with … Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is a bonus Experience of management BENEFITS: Pension scheme Gym Membership Share options Bonus Hybrid working HOW TO APPLY: Register your interest by sending your more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

techniques and the CRM environment. RESPONSIBILITIES: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the business Building predictive, segmentation and personalisation-based models with … Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is a bonus Experience of management BENEFITS: Pension scheme Gym Membership Share options Bonus Hybrid working HOW TO APPLY: Register your interest by sending your more »

high availability Desired experience: Worked with Python 3.9+ Familiar with Python test automation Experience with SQL and Timeseries databases Familiar with Parquet, Arrow, Airflow, Databricks Experience with cloud AWS services, such as S3, EC2, RDS etc Quality engineering best practice and tooling including TDD, BDD This is an inside IR35 more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »

You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »

is currently on-prem, but the direction of travel is cloud engineering, and you'll be executing code across the following tech stack: Azure, Databricks, PySpark and Pandas. DWP Digital is a great place to work, we offer a supportive and inclusive environment where you can grow your career and … make a real difference. Essential criteria: Commercial experience of Databricks, PySpark and Pandas Commercial experience of Azure data engineering tools such as Azure Data Factory, dedicated SQL pools and ADSL Gen 2 Experience of working with data lakes An understanding of dimensional modelling Details. Wages. Perks. You'll join us more »

new technology to solve business problems. Responsibilities Designing cloud-based data platforms and data solutions using a wide range of Azure Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse, Azure Cosmos DB, Azure Data Factory and Azure Blob storage Building conceptual, logical and physical data … Master and Reference Data Management, Metadata Management, Security and Compliance Strong experience in Data Warehouse methodologies Experience working across Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Blob storage and Power BI Strong experience in SQL Good understanding more »