24 Permanent Databricks Jobs in the Midlands

Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, extensive Power BI experience Extensive experience of working with Azure Data Factory & Databricks Extensive SQL knowledge (Microsoft SQL Server 2005+) and experience working with relational databases, query authoring (T-SQL) Extensive DevOps experience Extensive experience with CI/ more »

working with Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, Power BI Extensive experience of working with Azure Data Factory & Databricks Extensive SQL knowledge (Microsoft SQL Server 2005+) and experience working with relational databases, query authoring (T-SQL) Microsoft SQL server Integrated Services (SSIS) including ETL … working with Azure data platform technologies including Data Lake gen 2, Synapse, Analysis Services, Power BI Extensive experience of working with Azure Data Factory & Databricks Extensive SQL knowledge (Microsoft SQL Server 2005+) and experience working with relational databases, query authoring (T-SQL) Microsoft SQL server Integrated Services (SSIS) including ETL more »

demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AxoWS/Oracle cloud, R, Python. Additional Information Location: This role can be delivered in a hybrid nature from one of these more »

for 5 or more consecutive years Demonstrated experience in data architecture or similar role Practical experience across a variety of platforms and languages i.e. Databricks, Snowflake, Azure, AWS, Oracle Cloud, R, Python or similar Understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines more »

Azure Head of Data Engineering Salary- £90,000 - £110,000 + Excellent benefits Location - Birmingham/Hybrid Key skills - Azure - Databricks - Data factory - Data Lakes - Synapse - Modelling - Agile Role purpose: We are actively seeking a dynamic professional to play a pivotal role in the organisation and contributing to the exciting … business reporting requirements. You will be responsible for overseeing all aspects of data engineering, from strategy to implementing cutting-edge technologies like Microsoft and Databricks and will enjoy being hands-on. Collaborating with leaders in the business, Analytics, Data Governance, Data Science and AI, you will be instrumental in reshaping … hands-on. Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. Work with colleagues to establish and enforce best practices for data architecture, data more »

wider organisation using the tech you think is required! Skills desired/what you will learn: Microsoft Azure Azure SQL Microsoft Fabric Delta Lake, Databricks and Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, sci-kit-learn more »

alongside other benefits. To be successful in this role you will have. Previous experience working in a Data Engineering role. Excellent understanding of Azure Databricks Strong coding experience with SQL and Python Experience working with Azure Data Lake storage. Good working knowledge of other Azure cloud services and technologies This 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 »

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 »

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 »

understand of data management frameworks such as DCAM or DAMA and how they can be used to improve data quality Microsoft Azure stack and Databricks experience desirable Number of direct reports 1+ Geographic area of impact Global Size of budget N/a Key stakeholdersBusiness stakeholders, Analytics, Data Governance & Quality more »

pipelines for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, specifically SPARK performance\tuning\optimisation and Databricks, to play an important role in developing and delivering early proofs of concept and production implementation. You will ideally have experience in building solutions using … high quality work to tight deadlines. Your main responsibilities will be: Designing and implementing highly performant data ingestion & transformation pipelines from multiple sources using Databricks and Spark Streaming and Batch processes in Databricks SPARK performance\tuning\optimisation Providing technical guidance for complex geospatial problems and spark dataframes Developing scalable and … methodology to deliver proof of concept and production implementation in iterative sprints. Qualifications Direct experience of building data piplines using Azure Data Factory and Databricks Spark. Building data integration with Python Hands on experience designing and delivering solutions using the Azure Data Analytics platform. Experience building data warehouse solutions using more »

SQL Server Integration Services) Microsoft certified training in the use of Microsoft Azure Technologies (Azure Analysis Service, Data Factory, Data Lake Storage/Analytics, Databricks, Synapse, Purview, Fabric etc.) SharePoint development and administration Experience Essential Significant experience of developing and leading business intelligence solutions within NHS organisations Leading the strategic … data connections, Power Query etc.) In depth knowledge of latest Microsoft Cloud based technologies (Azure Analysis Service, Data Factory, Data Lake Storage/Analytics, Databricks, Synapse, Purview, Fabric etc.) Knowledge and application of Information Governance and principles of safe data management. Specialist knowledge of the principles of data warehouse architecture. more »

hands-on. Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. The Head of Data Engineering will be a remote based role with the … successful digital transformation initiatives involving data engineering and analytics. Significant hands-on Microsoft Azure stack experience is a must: Data Lake, Data Factory, Synapse, Databricks, Power BI Strong in delivering solutions at scale, on time and within budget. Strong background in data warehousing, data architecture, data modelling, integration, ETL/ more »

your team and wider organisation using the tech you think is required!Skills desired/what you will learn:Microsoft AzureAzure SQLMicrosoft FabricDelta Lake, Databricks and SparkStatistical ModellingAzure ML StudioPython and familiarity with libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, sci-kit-learn, Pandas).Microsoft Power more »

reporting and analytics delivery. Responsibilities for the Senior Data Engineer Design, develop, and maintain scalable data pipelines and workflows using Azure Data Factory and Databricks Implement data quality checks and validation processes to ensure accuracy, completeness, and consistency of data. Monitor pipeline performance and troubleshoot issues promptly to ensure uninterrupted … Essential Hands-on Experience with Azure Data Factory: Proven experience in designing, developing, and managing data pipelines using Azure Data Factory. Good knowledge of Databricks for data processing and analytics Proficiency in SQL for data querying and manipulation. Experience with data modelling techniques and data warehousing concepts. Strong written and more »

We are seeking a passionate and driven Junior SQL Data Engineer to join our team. As a Junior SQL Data Engineer, you will work closely with our data engineering and analytics teams to develop, optimize, and maintain SQL databases and more »

and join us as a Solution Architect. The centralised data platform is based on a lakehouse and domain mesh architecture, centered around Microsoft Azure & Databricks technologies. You'll also be: Leading the definition, design and delivery of data products and solutions on the Data Platform. Ensuring all solution designs meet … Familiarity with Data Warehousing, Business Intelligence, Data Science and Data Engineering needs to fulfil data & analytics solutions Architecture experience in the cloud (Azure Storage, Databricks, Delta Lake, Lakehouse, Azure AI, ML Ops) It would be great if you also have Appreciation of Data Security and governance Exposure of working with more »

Scientist to join their team! ROLE: 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 NEXT STEPS: If this role looks of interest, please reach out to Joseph Gregory. 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 »

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 »