The ideal candidate will independently lead a data engineering team on Process Intelligence (Celonis) implementation projects, working with process data of varying complexity across industries — while remaining hands-on with the technology. This role is responsible for making digital business processes transparent and harmonizing data flow through Process Intelligence Technology, data extraction, and transformation.
Responsibilities
Independently lead a data engineering team delivering Process Intelligence solutions using Celonis
Remain hands-on — develop and deploy solutions alongside the team
Collaborate with stakeholders to gather requirements and translate them into technical specifications
Lead setup of data extraction pipelines using both out-of-the-box and custom connectors
Apply strong working knowledge of Celonis ETL — Extraction, SQL Transformations, Data Pools, Data Jobs
Use Vertica SQL to create custom activities in Celonis
Optimize data pipeline performance
Analyze process data to identify inefficiencies and recommend improvements
Allocate work, review deliverables, and mentor data engineers on the team
Technical Qualifications
Strong knowledge of Knowledge Models, Views, Analysis
Strong knowledge of Celonis front-end functions — PQL, PU functions
Experience integrating Process Intelligence tools with existing systems
Ability to serve as liaison across business analysts, PMs, and stakeholders
Experience with Action Flows, Action Views, and ML capabilities for operationalizing Celonis
Current knowledge of Celonis' latest AI capabilities
Minimum Qualifications
8+ years Data Engineering/analytics experience, strong SQL and relational database background
Demonstrated experience independently leading a data engineering team
Prior ERP experience (SAP ECC / S/4HANA / Oracle Cloud / Oracle EBS R12) with strong process understanding
Preferred Qualifications
BE/BTech or MS/MTech in Computer Science, Mathematics, Physics, or related field
Strong communication skills across all organizational levels
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