1 to 4 of 4 Data Lake Jobs in Yorkshire with Remote Work Options

looking for someone to help lead the team in this transition. The right person will be both technically capable of working within a Data environment as well as leading a team of BI Developers. The role is suited for a creative and driven individual who can effectively take … making process Work with management to develop the reporting system Develop ETL processes using Kimball methodology Key skills Microsoft Azure, Synapse, Data lake SQL PowerBI Proven experience of leading a team What’s on Offer Up to £60k Salary + Pension Hybrid working -3 days on site more »

Digital with Purpose. Are you ready to join a dynamic team at the forefront of digital transformation? DWP Digital is seeking Data Engineers who are passionate about utilising cutting-edge technologies to deliver impactful data products. DWP is the UK's largest department, every year we … 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 more »

Digital with Purpose. Are you ready to join a dynamic team at the forefront of digital transformation? DWP Digital is seeking Data Engineers who are passionate about utilising cutting-edge technologies to deliver impactful data products. DWP is the UK's largest department, every year we … 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 more »

and platforms. Role purpose/summary Collaborate with stakeholders to understand business requirements and translate them into effective solution designs for our party data model data platform. Architect and implement cloud-based solutions that leverage popular data platforms to enable efficient storage, processing, and … analysis of large-scale data. Design scalable and resilient architectures that ensure high availability, fault tolerance, and disaster recovery for our data platform. Assess and select appropriate data platforms and technologies based on functional and non-functional requirements, considering factors such as performance, scalability, security, and … platforms such as Amazon Web Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g., Cloud Storage, BigQuery). Deep understanding of cloud computing concepts, including infrastructure as code, serverless computing, and containerization. more »