Senior HR Data Engineer

The base salary range for this position is $110,000-$203,000 USD. Senior HR Data Engineer (US-O) Would you like to join the Logistics Company for the World? DHL Supply Chain is just that. Become an essential part of everyday life, by contributing to an organization that is Connecting People and Improving Lives. If you have a passion for people, a desire to problem-solve, and eagerness to pursue continuous improvement opportunities… we look forward to exploring career possibilities with you! Job Description We are seeking a Senior HR Data Engineer to be the senior technical authority in HR Data Engineering, blending advanced HR functional and technical skill to design and build high-complexity data transformation, migration, integration and automation solutions. The role is primarily project-based and takes on the projects that vary to a greater degree — those beyond the recurring, cookbook patterns handled at Engineer level. Working automation-first, process-first and security-by-design, the Sr Engineer leads design of end-to-end ETL / SQL transformation and migration and defines data-flow and advise on automation architecture — identifying the need for and defining new integration and RPA flow patterns. Deeply knowledgeable in HR data-design standards and best practices, the role serves as the functional review and approval for process-tower integration requirements, working alongside the HR Business Process Optimization (BPO) towers to define systems data-flow requirements and approaches. Responsibilities High-Complexity Design & Build — designs and builds high-complexity solutions on the projects that vary most from recurring patterns: end-to-end ETL / SQL transformation and migration (SME), advanced loading (Oracle (or equivalent) Business objects, HDL, custom templates) and automated reconciliation.Data-Flow & Automation Architecture — identifies the need for and define new integration and RPA / automation flow patterns; sets the architecture that Engineers build to.Integration Requirements Review — checks HR BPO process-tower requirements and designs intents against standards and best practices; serves as the functional review / approval for integration requirements and works alongside the towers to define systems data-flow requirements and approaches.HR IT Landscape & Adjacent Systems — brings deep expertise in HR processes and the HR IT landscape, its interdependencies and data-exchange methods; understands how adjacent systems consume and react to HR data, and actively supports defining the business rules by which those systems react to incoming HR data based on each system's function and purpose.HR Data Domain Design — designs HR master data domains — object definitions (per system-vendor definitions), field-to-object determination for custom fields, lists of values (mutually exclusive, collectively exhaustive), and naming standards and structure — ensuring data serves both operational processing effectiveness and business insight and analytics.Data Auditing & Automation — develops Python for data auditing to support HR Data Management (HRDM) Operations QA and migration activities; develops medium-to-complex RPA data flow patterns that pre-qualify data for further processing and loading and automate data reconciliation. Required Education And Experience Advanced SQL, Python, Oracle HCM – or equivalent - (HDL, business objects), ETL, KNIME, RPA design experience, required.Data-flow and integration pattern design experience, required.HR data-domain design (objects, custom fields, lists of values, naming standards) experience, required.HR IT landscape and inter-system dependencies experience, required.Consultative partnering with cross functional teams, required. Our Organization has a business casual environment and focuses on teamwork, associate development, training, and continuous improvement. We offer competitive wages, excellent affordable insurance benefits (including health, dental, vision and life), 401K plan, paid vacation and holidays. Our Organization is an equal opportunity employer.