10 Databricks Jobs in Birmingham

/Professional Qualifications/Requirements: Hands-on advanced experience in designing, developing, and managing data pipelines using Azure Data Factory. Strong working knowledge of Databricks for data processing, analytics and Machine learning. Advanced experience with data modelling techniques and data warehousing concepts. Advanced proficiency in SQL for data querying and 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 »

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 »

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 »

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 »