Percipere is seeking a Process Mining Data Engineer to own the functional design of FUTUROOT's process intelligence capabilities, translating business processes into reusable product features. Based in Mumbai, this role requires strong SQL skills, ERP data experience, and expertise in data engineering for process mining.

About the Company

Established in 2017 in the UK, Percipere is a Cloud ERP and enterprise technology consultancy operating across the UK, Middle East, and India. We implement SAP Cloud ERP and Acumatica, extend solutions through our proprietary technology and AI ecosystem, and support customers beyond go-live. Our expertise spans manufacturing, wholesale and distribution, finance transformation, project-led engineering and construction, and selected financial services organisations. We deliver complex, high-value transformation programmes to senior finance, operations, supply-chain and technology leaders across global markets. We have ambitious growth targets and this role will be pivotal in helping us achieve them.

Role Overview

As a Process Mining Data Engineer, you will own the functional design of FUTUROOT's process intelligence capabilities. You will translate business processes and customer requirements into reusable product features and analytical use cases. The role focuses on analysing source-system data structures, building data models for processes such as P2P, O2C, R2R and Inventory Management, and developing robust data quality checks and validation procedures. You will work closely with the functional product team to ensure accurate data representation of real-world processes.

Key Responsibilities

• Analyse source-system data structures, transaction tables, relationships, and business events.
• Develop source-to-canonical mappings, transformation rules, and process event logs.
• Build reusable data models for key processes: Procure-to-Pay, Order-to-Cash, Record-to-Report, and Inventory Management.
• Develop data quality checks, reconciliation rules, and validation procedures.
• Collaborate with the functional product team to translate process requirements into accurate data models.
• Document mappings, transformation logic, data dependencies, and validation rules.
• Identify opportunities to automate data preparation and reduce source-system-specific development effort.

Tech Stack

• Languages & Tools: SQL, ETL/ELT frameworks
• Databases: Relational databases, SAP ECC/S/4HANA (preferred)
• Data Modelling: Data modelling for event logs, canonical models
• Process Mining: FUTUROOT (or similar process mining tools)
• ERP Systems: Experience with ERP transaction data (SAP, Acumatica)
• Other: Data validation, reconciliation, documentation

3-4 years of experience in data engineering, analytics engineering or process mining data development. Strong SQL, relational databases, data modelling, ETL/ELT. Understanding of ERP transaction data; SAP ECC/S/4HANA preferred. Ability to convert raw source data into reliable event logs. Strong troubleshooting, validation, documentation skills. Excellent communication and attention to detail.