1 to 25 of 46 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 »

Databricks Engineer – Remote – Manchester - 6 Months Contract (Initial) – Outside IR35 We are seeking 4 Databricks Engineers on a contract basis to assist our client as they migrate over from legacy to AWS. The main focus will be to centralise the organisations data warehouses and consolidating/centralising a number of … BI tools. Databricks Engineers should have extensive experience working with Databricks on recent projects and be exposed to the latest features and toolsets of Databricks Role Responsibilities: Design and develop scalable data pipelines using Databricks. Implement data processing workflows in Python and SQL. Manage and optimise data storage solutions on … AWS. Ensure data quality and integrity across all stages of data processing. Develop and maintain documentation for data engineering processes. Utilise Databricks features, including Delta Live Tables (DLT) to simplify streaming and ensure data quality. Work with asset bundles in Databricks for streamlined data operations. Key Skills: Proven experience as more »

Continuity processes and procedures The Data Platform Engineer (Azure) will have the following: Understanding and detailed knowledge of Microsoft Azure DevOps, ITIL, Azure Synapse, Databricks, PowerBI, Data Factory, HD Insights, Python Sparks, and have a strong IT service background. Strong administration of Windows Domains and Windows Server technologies Strong administration more »

to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines on 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 »

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 »

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 »

and the business stakeholders Investigate and provide solutions for issues (bugs, data errors) Key skills PowerBI – DAX, Power Query (M) Power apps – Advantageous Azure, Databricks Stakeholder management What’s on Offer to £90k Salary package working in either Leeds, Manchester or London + flexible hours More exciting benefits Please apply more »

and the business stakeholders Investigate and provide solutions for issues (bugs, data errors) Key skills PowerBI– DAX, Power Query (M) Power apps – Advantageous Azure, Databricks Stakeholder management What’s on Offer Up to £90k Salary- DOE Bonus package Hybrid working in either Leeds, Manchester or London + flexible hours More more »

Azure. The Platform Engineer also have a focus on Azure data platform services with skills in Azure Data Factory (ADF), Data Analytics, and Azure Databricks and DevOps practices. Primary requirements for the Platform Engineer will include: Experienced Platform Engineer - CAF (Cloud Adoption Framework) Strong experience and understanding of Infrastructure as more »

used Python, R and SQL in your current or previous roles. Any exposure to ML models and/or Cloud tools such as Azure Databricks would be advantageous. The role would be based mainly from home with travel into Sheffield once a week, so ideally you will drive. If this more »

Senior Data Engineer (Databricks) – Remote – Leeds - 6 Months Contract (Initial) – Outside IR35 We are seeking 4 Senior Data engineers (Databricks) on a contract basis to assist our client as they migrate over from legacy to AWS. The main focus will be to centralise the organisations data warehouses and consolidating/… centralising a number of BI tools. Senior Data Engineers should have extensive experience working with Databricks on recent projects and be exposed to the latest features and toolsets of Databricks Role Responsibilities: Design and develop scalable data pipelines using Databricks. Implement data processing workflows in Python and SQL. Manage and … storage solutions on AWS. Ensure data quality and integrity across all stages of data processing. Develop and maintain documentation for data engineering processes. Utilise Databricks features, including Delta Live Tables (DLT) to simplify streaming and ensure data quality. Work with asset bundles in Databricks for streamlined data operations. Key Skills 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 »