Data Engineer

An innovative Professional Services company is seeking a highly skilled and experienced Senior Azure Data Engineer to join their team and play a pivotal role in their data modernisation journey.Amongst other initiatives, you will be a part of a wider team of data engineers who can design, build, and maintain robust data pipelines and solutions on the Microsoft Azure cloud platform.Responsibilities:Architect, design, and develop enterprise-grade data pipelines and data storage solutionsImplement data integration processes for seamless data flow across systemsProvision data storage solutions, ingesting streaming and batch dataTransform and cleanse data to ensure its accuracy and consistencyImplement security measures and data retention policies to safeguard sensitive informationCollaborate with stakeholders to understand business requirements and translate them into technical specificationsLead quality assurance (QA) activities to ensure the integrity of data solutionsEstablish and maintain best practices for reusable code, libraries, patterns, and frameworksEnsure data quality, security, and adherence to data governance standardsMonitor and troubleshoot data pipelines, identifying and resolving potential issuesMentor and train junior data engineers to foster knowledge sharing and expertise within the teamSkills:Proven experience as a Senior Data Engineer with 5+ years of industry experienceIn-depth knowledge of modern data architecture concepts and best practicesExpert-level proficiency in Azure Synapse pipelines, Spark pools, PySpark, Azure Data Factory, Azure SQL Pools, ADLS Gen 2, Purview, and Azure App ServiceFamiliarity with Microsoft Fabric is an assetExpertise in designing and building robust data pipelines using both batch and streaming ingestion methods over a Medallion architectureStrong understanding of Azure DevOps processes (including CI/CD)Proven experience in common data warehouse modeling principles, including Kimball and OBTKnowledge of Microsoft BI StackExpertise in data management, data integration, and data processing methodologiesExperience in developing and implementing security models to safeguard data integrityProven ability to lead and manage small and large data engineering teamsExperience with normalised and dimensional data modelling approachesDemonstrable ability to guide the development of data requirements and drive user-friendly experiencesExpertise in working effectively in fast-paced agile environmentsIf this sounds like something you are interested in, please get in contact:##### Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.