1 to 25 of 29 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 »

/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 »

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 »

reports, visualizations, and dashboards. Building automated test frameworks and improving test coverage across projects. Previous experience required Experience in data engineering with tools like Databricks, Azure Data Factory, Spark, Python, SQL, Cosmos DB, Microsoft Azure Analysis Services, and PowerBI. Proficiency in dimensional data modeling and delivering end-to-end BI more »

through to completion Implementation of data platform using Microsoft Azure stack Experience of using technologies such as Azure Data Factory, Azure Data Lake, Azure Databricks etc. along with Power BI. If you are a Senior Solutions Architect with strong experience in the data services space and expert knowledge in strategic 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 »

a leading role on Azure centric work, guiding more junior members of the team and upskilling accordingly. Skills & Qualifications Strong knowledge of Microsoft Azure, Databricks, Data Factory and Data lake. Exposure to Python - delivery of solutions built in Python. Great experience within SQL - writing complex high-performance queries, understanding how more »

dictionaries in the data catalog. Essential Skills: Expertise in designing and implementing data pipelines, particularly using Azure services such as Azure Data Factory, Azure Databricks, and DBT. Hands-on experience in SQL database design. A comprehensive understanding of modern enterprise IT practices, with a focus on system and product integration 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 »

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 »

Status: Inside of IR35 Required experience will include: Expertise in designing and implementing data pipelines using Azure services such as Azure Data Factory , Azure Databricks and DBT . Hands-on experience with SQL database design Experience of product lifecycle management principles and tools (e.g. DevOps , terraform ) and relational database manipulation 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 »

data modelling skills You have data cloud migration experience You have a strong knowledge of variety of databases and modern tooling such as Snowflake, Databricks and can make recommendations on technology choices You're a collaborative and pragmatic communicator with great communication skills What's in it for you: As more »

a Data Engineer with experience with experience managing the delivery of data products and frameworks. Position Requirements: Experienced with Azure - Azure Data Factory, Azure Databricks and DBT. Experienced with SQL database design If this role sounds right for you, please apply online or email your CV Alternatively, if you would 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 »

That means providing exceptional service and using state-of-the-art tech to do it. As we undertake a fast paced data transformation into Databricks at E.ON Next using best practice data governance and architectural principles, we are growing our data engineering capability within the Data Team. At E.ON Next … of energy, ideas, and passion? A taste of what you’ll be doing: You will build and maintain scalable and efficient data pipelines within Databricks in accordance with best practice. You will evolve and improve these pipelines as requirements change and as new technologies become available. You will build towards … You will ensure data quality and reliability processes are effective and adhered to, ensuring trust in the data. You will help maintain existing non-Databricks data pipelines, including monitoring and troubleshooting. Are you the person for the job? You will need at least a year’s worth of experience working more »

That means providing exceptional service and using state-of-the-art tech to do it. As we undertake a fast paced data transformation into Databricks at E.ON Next using best practice data governance and architectural principles, we are growing our data engineering capability within the Data Team. At E.ON Next … of energy, ideas, and passion? A taste of what you’ll be doing: You will build and maintain scalable and efficient data pipelines within Databricks in accordance with best practice. You will evolve and improve these pipelines as requirements change and as new technologies become available. You will build towards … understanding of cloud based design, in particular on Amazon Web Services. A strong understanding of SQL, database design, and data architecting. Strong experience with Databricks and/or Spark. Experienced with data governance, data cataloguing, data quality principles, and associated tools. Experience of data extraction, joining, and aggregation tasks, especially 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 »

crucial aspect of this role involves fostering strong stakeholder engagement, collaborating closely with various teams to understand their data needs and provide tailored solutions. Databricks experience is highly desirable, and candidates with proficiency in leading small teams will be given preference. The ideal candidate thrives in dynamic environments, excels at … Experienced with advanced analytics techniques including modelling, and segmentation Strong visualisation skills including experience with Tableau Experience with cloud-based data pipeline architectures (eg. Databricks) and platforms (eg. AWS) Familiarity with Git-based source control methodologies, including branching and pull requests Excellent communication and presentation skills with the ability to … culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May 2024 We’ll have regular team socials and lively team chats Competitive 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 »