Engineering Data Manager

Job Description

A Snapshot of Your Day As an Engineering Data Manager, your days will be varied and engaging in our global Engineering Planning and Reporting team. A typical day might include a standup meeting with your team, connecting with colleagues across the organization to understand requirements, focus time developing new Power BI reports, developing an endpoint to exchange data between systems, or improving our reporting service. Yours will be a relevant role in a team growing to accommodate the digitalization demands of Compression Engineering and Product Management. How You ll Make an Impact Design, develop, and maintain data infrastructure for a global Engineering organization Collaborate with data and process owners to optimize data extraction, transformation and analysis, including enhancing services and creating endpoints for data exchange where required Enhance Engineering data service with automated routines to fetch and store data for reporting Support project execution teams in manual data transportation between Engineering systems while meeting deadlines Collaborate with collaborators to capture requirements and translate them into effective data visualizations in Power BI. Implement data governance practices, including data access controls, role-level security, and data lineage documentation. Maintain documentation for reports, data sources, and data transformation processes. Conduct user testing and gather feedback to continuously improve the user experience What You Bring Bachelors degree in Computer Science, Information Technology, Engineering or a related field. 10+ years experience with business intelligence, data modeling, data warehousing, and ETL processes. Demonstrable experience as a Power BI Developer, including DAX and Power Query. Solid understanding of UI/UX principles and standard methodologies. Excellent problem-solving skills, attention to detail, effective communication and collaboration skills Preferred: familiarity with Agile development methodologies and software (e.g., Jira) and Engineering processes and systems (e.g.., SAP, Teamcenter