Celonis Data Engineer

Title: Celonis Data Engineer

Location: Remote

Duration: 12 Months Contract

USC, GC, GC EAD, H4 EAD, TN

Video Interview

SUBMISSION REQUIREMENTS:

• Need Genuine LinkedIn- NO RECENT OR MULTIPLE LINKEDIN
• Must have Visa Copy with the submission (FOR GC and EADs) Must have full educational details with University Name and year of completion in resume. WITHOUT ABOVE MENTIONED PREREQUISITE RESUME WILL BE DEEMED AS FAKE.
  
  

Job Description

Fully remote, they need good data analyst skills and experience with Celonis (this is the hard part, but i know Food and Beverage also uses this tool)

About The Role

We are seeking a Celonis Data Engineer to support enterprise process mining initiatives using Celonis. This role sits at the intersection of data engineering, Celonis platform configuration, and data analysis, enabling teams to understand how processes truly operate and where inefficiencies exist.

You will work closely with delivery teams and business stakeholders to onboard data from multiple systems, configure Celonis models, analyze process performance, and translate insights into clear, actionable recommendations.

This role is ideal for a strong data engineer or data analyst who can quickly learn Celonis and is comfortable working with complex, messy data to tell a compelling operational story.

Key Responsibilities

Data Engineering & Integration

• Design, build, and maintain data pipelines feeding Celonis
• Ingest data from multiple enterprise systems, using:

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• Native Celonis connectors where available
• Direct database integrations when connectors do not exist
• Custom ingestion approaches as needed
• Support data preparation, transformation, and modeling for process mining use cases

Celonis Platform Configuration

• Configure Celonis data models, process models, and supporting components
• Support onboarding of new datasets and business use cases
• Partner with existing pipeline teams to reduce configuration and delivery bottlenecks
  
  

Data Analysis & Insight Delivery

• Perform end-to-end data analysis, including:
• Reading and understanding complex datasets
• Data modeling and validation
• Identifying trends, bottlenecks, and inefficiencies
• Translate process data into clear insights and visual narratives

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• Communicate findings effectively back to technical and non-technical stakeholders
• Support visualization and storytelling, often using tools outside of Celonis
  
  

Required Qualifications

Core Skills

• Strong background in data engineering and/or data analysis
• Proven experience with:
• SQL
• Data modeling
• Data validation and quality checks
• Ability to pull and integrate data from multiple, disparate sources
• Strong analytical thinking:
• Ability to make sense of complex data
• Ability to explain what the data means and why it matters
  
  

Learning & Adaptability

• Ability to learn Celonis quickly and apply it to real delivery work
• Comfortable working in fast-moving environments with evolving requirements
  
  

Preferred / Nice-to-Have Skills

• Prior experience with Celonis or other process mining tools
• Experience with data visualization tools such as:
• Power BI
• Qlik
• Other BI or analytics platforms
• Experience supporting process improvement, operational analytics, or enterprise transformation initiatives
  
  

What Success Looks Like In This Role

• You can independently onboard data into Celonis and support new use cases
• You confidently analyze process data and identify meaningful inefficiencies
• You translate technical findings into insights that business teams understand and act on
• You help reduce delivery bottlenecks by owning both data and Celonis configuration work