1 to 14 of 14 Databricks Jobs in the North West with Remote Work Options

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 »

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 »

use the data to make better and more informed decisions - Have experience of Databases (ideally SQL Server) and tools such as Python or Azure DataBricks The role is offered on a hybrid basis with travel to one of the core offices once a week - this can be Chorley in Lancashire 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 »

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 »

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 »

new technology to solve business problems. Responsibilities Designing cloud-based data platforms and data solutions using a wide range of Azure Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse, Azure Cosmos DB, Azure Data Factory and Azure Blob storage Building conceptual, logical and physical data … Master and Reference Data Management, Metadata Management, Security and Compliance Strong experience in Data Warehouse methodologies Experience working across Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Blob storage and Power BI Strong experience in SQL Good understanding more »

competitive day rate of £250-£400, falling inside IR35 regulations. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes using AWS, Databricks, Python, Spark, and SQL. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions. Optimize and troubleshoot … Engineer or in a similar role. Strong proficiency in AWS services related to data engineering (e.g., S3, Redshift, Glue). Hands-on experience with Databricks for data processing and analytics. Proficient in Python programming for data manipulation and automation. Solid understanding of Apache Spark for big data processing. Strong SQL 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 »

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 »