Senior Data Engineer (Ref: 197457)

Senior Data EngineerChicago, IL (Hybrid) $140,000 - $170,000 Base Salary + 10% BonusContact - simon.wilkinson@forsythbarnes.comForsyth Barnes is partnering with a growing organisation undergoing a major transformation of its data and analytics capabilities. We are seeking a Senior Data Engineer to play a pivotal role in building and scaling a modern data platform that supports advanced analytics, pricing optimisation, digital initiatives, and emerging AI use cases.This is an opportunity to join a highly visible team where you will work directly with business stakeholders, data professionals, and leadership to deliver scalable data solutions that drive business performance.The RoleAs a Senior Data Engineer, you will be responsible for designing, building, and optimising enterprise data solutions across a cloud-based environment. You'll have significant ownership, helping to shape the future of the data platform while acting as a key technical leader within the team.This role is ideal for someone who enjoys combining deep technical expertise with stakeholder engagement and solution design.Key ResponsibilitiesDesign and develop scalable data pipelines and ETL/ELT processesBuild and maintain solutions within a Databricks and Azure environmentPartner with business stakeholders to understand requirements and translate them into technical solutionsLead discovery, solution design, estimation, and delivery of data initiativesDrive best practices around data quality, governance, monitoring, and reliabilitySupport analytics, reporting, machine learning, and AI-driven initiativesOptimise existing data workflows and identify opportunities for automationMentor and support junior engineers within the teamCollaborate across Data Engineering, Analytics, Pricing, Digital, and Technology teamsRequired ExperienceStrong commercial experience with DatabricksAdvanced SQL skillsExperience developing and maintaining ETL/ELT pipelinesAzure cloud experience, including Azure SQL environmentsStrong understanding of data warehousing and modern data architecturesExperience working directly with business stakeholdersAbility to independently scope, estimate, and deliver technical solutionsExcellent communication and problem-solving skillsDesirable ExperiencePySpark and PythonData governance and data quality frameworksCI/CD and DevOps practicesExposure to AI, Machine Learning, or MLOps environmentsExperience working within enterprise-scale data platformsWhat's on $140,000 - $170,000 + 10% Bonus Clear progression path into future technical leadership/management responsibilitiesOpportunity to influence the direction of a growing data functionWork on business-critical analytics, pricing, and AI initiatives