1 to 25 of 32 Databricks Jobs in the North of England with Remote Work Options

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 »

LEAD DATA ENGINEER REMOTE FIRST (UK BASED) UP TO £100,000 PERMANENT Do you have experience using cloud technologies? Are you passionate about Data Engineering and have a strong background working with public sector organisation? This role is an amazing 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 »

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 »

loads of benefits! Essential requirements: Proven experience as a data scientist (ideally as a senior/lead) Programming skills with Python. Proven experience using Databricks (Two years plus more »

seeking a contract Lead Data Engineer with hands-on experience working directly with C-Suite execs. Technical Expertise Needed At least 4 years recent Databricks (must have) At least 10+ years experience in a Data Engineer role and recently operating at a hands on lead level Ideally educated to degree … make it a reality. Great senior opportunity for someone looking to help headline huge technical implementation projects for the business including: The implementation of Databricks Creating 1 single datasource Having one common data platform Ensuring cloud platforms are optimised, maintained and aligned with industry best practices For more info, apply more »

skills Good knowledge of software engineering best practice Experience with TDD (pytest or equivalent) Experience with cloud native deployments (currently in Azure) Experience with Databricks Experience with managed endpoints, AKS or equivalent Experience with VCS Experience with CI/CD Understanding/identifying opportunity to apply machine learning knowledge to … not required. Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas Our technology We are currently developing a new data platform in databricks that encompasses all our UK business unit’s data. This data will be managed and made available to the data science team to consume. The 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 »

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 »

Data Architect - Azure, SQL, Data Bricks - OS IR35 - Hybrid A specialist Tech and Data hub in Manchester are seeking an experienced Data Architect to support with future growth strategies expanding on the use of Azure public cloud. The assignment will more »

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 »

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 »

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 »

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 »

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 »

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 »