Offer summary

Qualifications:

3+ years of experience in data engineering with a focus on process mining., Proven project experience with Celonis EMS, including data modeling and dashboarding., Strong proficiency in SQL, ETL frameworks, and working with large datasets., Familiarity with Purchase-to-Pay (P2P) or other financial process domains..

Key responsibilities:

Lead the end-to-end Celonis integration: data extraction, transformation, loading, and model creation.

Build impactful dashboards and visualizations in Celonis for stakeholders and leadership.

Prepare robust data pipelines and models across multiple systems (SAP, SQL, Salesforce, etc.).

Translate process data into actionable insights using Power BI and Celonis.

Job description

This is a remote position.

Our client, a top-tier global consultancy, is delivering a strategic Proof of Concept (PoC) for a major European bank. The initiative focuses on process mining and optimization of the Purchase-to-Pay (P2P) process using Celonis. We are looking for a skilled Data Engineer with hands-on experience in Celonis EMS, capable of driving data preparation, model building, and visualization for process intelligence.

Key Responsibilities

Celonis EMS – Process Mining & Optimization

Lead the end-to-end Celonis integration: data extraction, transformation, loading, and model creation
Define and implement new Celonis activities and process KPIs to monitor P2P or claims processes
Build impactful dashboards and visualizations in Celonis for stakeholders and leadership
Leverage process mining to identify hidden inefficiencies, bottlenecks, and compliance risks
Conduct training sessions for business users and junior data analysts on Celonis usage

Data Engineering & Modeling

Prepare robust data pipelines and models across multiple systems (SAP, SQL, Salesforce, etc.)
Utilize dbt to implement versioned and snapshot-based data models, supporting historical tracking and feature generation
Perform data reconciliation using Databricks notebooks, ensuring accuracy and auditability

Data Visualization & Reporting

Translate process data into actionable insights using Power BI and Celonis
Design and maintain interactive dashboards for P2P or claims process monitoring
Prepare and optimize Power BI datasets for seamless reporting layers

Requirements

3+ years of experience in data engineering, with a focus on process mining.
Proven project experience with Celonis EMS, including data modeling and dashboarding.
Strong proficiency in SQL, ETL frameworks, and working with large datasets.
Familiarity with Purchase-to-Pay (P2P) or other financial process domains.
Ability to navigate enterprise-level data environments (e.g., data lakes, data warehouses).
Previous experience in the banking or financial services sector is highly desirable.
Excellent communication skills in English; ability to work in a cross-functional consulting setup.

Nice to Have

Exposure to other process mining tools (e.g., UiPath Process Mining, Minit).
Knowledge of BI tools (e.g., Tableau, Power BI) and Python for data manipulation.
Understanding of banking regulatory and data security standards.

Benefits

Be part of a high-impact digital transformation initiative in the banking sector.
Collaborate with top-tier consulting professionals and C-level stakeholders.
Opportunity to extend into full-scale project delivery post-PoC.
Location: Hybrid / Remote within the EU
Client: Top 5 Global Consulting Company
End Client: Leading European Banking Institution
Engagement Type: Freelance / B2B
Start Date: ASAP
Project Length: Initial PoC with high likelihood of extension