1 to 25 of 44 Databricks Jobs in the North of England

Data Engineers. Providing Technical guidance to Data Engineers Knowledge, Experience and qualifications Excellent level of knowledge & experience in Azure Data, including DataLake, Data Factory, DataBricks, Azure SQL (Indicative experience = 5yrs+) Build and test processes supporting data extraction, data transformation, data structures, metadata, dependency and workload management. Knowledge on Spark architecture more »

on the Azure side, you will learn about and use data services such as Azure SQL, Synapse Analytics, Azure Data Factory, Azure Data Warehouse, Databricks, Bicep & PowerBI. About You: You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services and platforms. You more »

high-quality data outcomes via modern data sourcing, integration and modelling techniques. Youll gain exposure to a wide range of modern technology (e.g. Snowflake, Databricks, Spark) and be continually learning. Requirements of the Data Engineer: Strong experience with data analysis, data modelling (Kimball) and governance, with excellent analytical and problem more »

undergoes a complete greenfield re-architecture from the ground up in Microsoft Azure. The Tech you'll be playing with: Azure Data Factory Azure Databricks PySpark SQL DBT What you need to bring: 1-3 year's experience in building Data Pipelines SQL experience in data warehousing Python experience would more »

experience with Python, Spark & SQL. Experience or exposure to Microsoft Fabric. Outstanding communication skills and proven ability to manage internal stakeholders. 💻 Tech stack : Azure, Databricks, Python, Spark, Pyspark, SQL, Azure, Fabric This will be a two-stage interview process, candidates will work hybrid with an expectation to come to the more »

new initiatives Any other duties as covered by your contract of employment Data Engineer Applicants: Essential: Microsoft Azure Stack (specifically Data Factory, Data Lake, Databricks) Python (Pandas, NumPy) SQL Microsoft Power Platform Knowledge and experience of a formal project management methodology A high degree of computer literacy Project planning ability 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 »

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 »

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 »

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 »

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 »

candidate with following knowledge and experience in: Project Management(PMP), Scrum Master(CSM), Agile Methodology, AWS Solutions Architect, AWS Cost Management, Python, Oracle & PostgreSQL, Databricks, SQL, Java, IBM Mainframe Modernization, WEBFOCUS/WEBFOCUS EXPRESS Deep knowledge of project architecture , tools, deployment and cloud based implementation. Accordingly create detailed project plans more »

Exposure working in a Microsoft Azure Data Platform environment. Exposer inAzure Data Factory Azure Storage Data Ingestion and Storage including Azure Data Factory, Azure Databricks, Azure Data Lake, Kafka and Spark Streaming, Azure EventHub/IoT Hub, and Azure Stream Analytics • Building new data pipelines and optimizing data flows using … dependency and workload management. • Cloud Big Data Analytics in Azure Synapse Analytics, Azure Analysis Services • Data Ingestion and Storage including Azure Data Factory, Azure Databricks, Azure Data Lake, Kafka and Spark Streaming, Azure EventHub/IoT Hub, and Azure Stream Analytics • Experience with Bigdata Tools: Hadoop Spark, Kafka • Experience with more »

to meet the changing expectations of customers and regulators. Yorkshire Water has a significant data footprint and partnerships with global organisations like Microsoft, SAP, Databricks, and ESRI. Our data is spread across the county of Yorkshire, with over 1 million real time data points monitoring reservoirs, treatment facilities, pipework, and more »

and translating business needs into long-term solution data models,Expertise in data modeling principlesmethods including conceptual, logical physical Data Models.Azure Data Factory, Azure Databricks, Azure Data Lake more »

Specialisation in Analytics on Azure, Infrastructure and Digital & App Innovation we know what we’re talking about! We’re also proud to be a Databricks partner. IBM Gold partner, specialising in Cognos Analytics, and Planning Analytics (TM1). This ecosystem of technology vendor relationships equips us with deeper expertise, enabling more »

Senior Data Engineer Full Time On-Site Python SQL DataBricks Azure As a Senior Data Engineer, you will play a key technical role in design, implementation, and continuous refinement of data pipelines and architectures within Microsoft s Azure ecosystem. This role involves leveraging Azure s diverse data services, such as … Data Factory, Databricks, Azure SQL and Synapse Analytics, among others, to build scalable and secure data solutions that support complex onward processing by both operational and analytical teams. What will this role look like? - Develop and maintain scalable, efficient, and robust data architectures. This involves creating 3NF and dimensional data … Provide guidance and mentorship to more junior members of staff, fostering a culture of growth Which of your skills will be used? Expertise in Databricks is essential. Strong proficiency in SQL Knowledge of Data warehousing technologies and concepts. Excellent communication and leadership skills. Benefits: This position is a senior-level more »