1 to 16 of 16 Databricks Jobs in Yorkshire

on-prem, but the direction of travel is cloud engineering. You'll be executing code in different places across the following tech stack: Azure, Databricks, PySpark and Pandas. You will steer the data engineering function within a wider product team. There'll be lots of connecting and interaction with stakeholders … and inclusive environment where you can grow your career and make a real difference. Essential criteria: Enterprise-scale experience with Azure data engineering tools, Databricks, PySpark and Pandas Experience of data modelling and transforming raw data into datasets Experience of building team capability through role modelling, mentoring, and coaching Able more »

on-prem, but the direction of travel is cloud engineering. You'll be executing code in different places across the following tech stack: Azure, Databricks, PySpark and Pandas. You will steer the data engineering function within a wider product team. There'll be lots of connecting and interaction with stakeholders … and inclusive environment where you can grow your career and make a real difference. Essential criteria: Enterprise-scale experience with Azure data engineering tools, Databricks, PySpark and Pandas Experience of data modelling and transforming raw data into datasets Experience of building team capability through role modelling, mentoring, and coaching Able more »

Are you a Senior Data Engineer with extensive knowledge of Azure services, advanced skills in Databricks and in-depth knowledge of SAP HANA? We have a brand new opportunity to join us as the senior engineer and technical lead throughout the data delivery teams on our Core technology program. What … for someone who can demonstrate: Extensive knowledge of Azure services including Azure Data Factory, Azure Data Lake Storage and Azure SQL. Advanced skills in Databricks for data engineering tasks, including experience with Delta Lake, data processing, and optimization. In-depth knowledge of SAP HANA, including experience with data modelling & analytics 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 »

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 »

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 »

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 »

Role: Lead Data Scientist/Head of Data Science Location: Sheffield once/week Salary: Up to £80k Youve heard it a zillion times. Data is the new oil! Data is king! AI and Machine Learning is going to revolutionise 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 »

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 »

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 »

data platform accelerators. We think this role would suit many different backgrounds and skills, we only ask that you: Strong experience of working with Databricks Work in an AWS or Azure environment Are comfortable with Infrastructure as Code Automate repetitive tasks and workloads Are excited working with and evangelising data 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 »

is currently on-prem, but the direction of travel is cloud engineering, and you'll be executing code across the following tech stack: Azure, Databricks, PySpark and Pandas. DWP Digital is a great place to work, we offer a supportive and inclusive environment where you can grow your career and … make a real difference. Essential criteria: Commercial experience of Databricks, PySpark and Pandas Commercial experience of Azure data engineering tools such as Azure Data Factory, dedicated SQL pools and ADSL Gen 2 Experience of working with data lakes An understanding of dimensional modelling Details. Wages. Perks. You'll join us more »