(High Salary) Senior Data Engineer

Senior Data Engineer – London (Central – hybrid /remote) TeamCandour are working with a thriving global financialservices player to add another accomplished Senior Data Engineer totheir growing London team who work on a hybrid basis – 1 or 2 dayson site in the office. As well as flexible working, these guysoffer one of the most comprehensive benefits packages we’ve workingwith including: Personal & company bonus Private health &dental care 10% company pension contribution So what skills willyou need to bring? Databricks (Spark SQL) Azure DevOps Build andmaintaining data platforms within Microsoft Azure. A deepunderstanding of data warehousing and analytics platforms. SMEknowledge of technology architectures & processes involved inthe transfer of data. A good understanding of data modellingtechniques. Key Responsibilities Be a core member in the teamdelivering the Analytics Platform Operating Model, working in anagile way, to deliver trusted governed data for the business. Workacross a diverse group of data consumers across the Group toidentify and capture data requirements, associated ownership,definitions, transformations and controls using standard terms.Design and develop ETL processes and data structures (AzureDatabricks) for the data warehouse following best practiceprocedures (e.g. Auditing, delta load, insert else update logic,Error logging) Gather and translate business requirements, convertinto technical specification and implement solution design. Performdata modelling based on the business/reporting requirements. Createand maintain ETL process related documents (e.g. data lineage, dataflow, mapping) Own, maintain and follow development and designprinciples as well as best practice (e.g. unit testing, performancetuning, table naming conventions, peer review). Manage and deliverad-hoc data/reporting requests from end-user requests andtroubleshoot data issues. Play an instrumental role supporting thedata strategy (e.g. Data warehouse) and other data relatedinitiatives (e.g. Data science, business intelligence). Proactivelyensure that deliverables meet or exceed functional, technical andperformance requirements. Be comfortable with manipulating andanalysing large datasets including data cleansing to provideinsight to the business and troubleshooting ETL issues. Ability tounderstand and consolidate disparate information sources intosummary metrics and report on them. A more complete job descriptionis available to anyone meeting the above minimum criteria, drop usa line and we can arrange a chat to go through thedetails