Data Engineer

Overview In this role you will design, build and optimize cloud-based data platforms and pipelines, mainly using Azure, Microsoft Fabric and Databricks. You will ingest and transform data across Azure Data Lake to deliver scalable, reliable data solutions for Jacobs and PA Consulting engagements. You’ll collaborate with cross-functional teams and clients to translate business needs into technical data design, while upholding quality, security and cost goals. This is a hands-on, consulting-focused opportunity within Jacobs' Digital & Data Hub, offering international project exposure and continuous learning. Compensation / BenefitsHybrid work modelFlexible hoursLux Med medical carelife insuranceMy Benefit cafeteria systemMultisport card co-financing ResponsibilitiesDesign, build and optimize scalable data platforms and pipelines using Azure services, Microsoft Fabric and DatabricksDevelop robust batch and near-real-time data ingestion and transformation processes across Azure Data LakeProcess, transform and manage large datasets with Databricks, Delta Lake and Apache SparkContribute to Microsoft Fabric solutions including Lakehouse, Data Factory/Data Pipelines, notebooks and semantic data layersApply engineering practices for data quality, testing, monitoring, performance, security and cost optimizationCollaborate with client stakeholders to translate business needs into deliverable data solutionsContribute to data architecture, modelling, integration and technical design decisionsWork with solution architects, analysts, software engineers, AI specialists and delivery leadsPrepare clear technical documentation and support knowledge transfer to clients and project teams Key requirementsAt least 3 years of commercial experience in data engineering or a related roleHands-on commercial experience with Databricks (mandatory)Strong experience with Microsoft Azure data services including Azure Data Lake and cloud-based data integrationExperience with Microsoft Fabric and its data engineering capabilitiesStrong SQL skills and practical experience with Python, PySparkUnderstanding of data modelling, ETL/ELT patterns, data quality and data governanceAbility to work directly with clients in a consulting environment and communicate technical topics in EnglishAbility to work effectively in distributed, multicultural project teamsClient communication and stakeholder managementTeam collaboration in cross-functional projectsClear technical storytelling in EnglishDatabricksAzure data servicesMicrosoft Fabric