Senior Process Mining Consultant

Keasis; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Keasis in the United States is seeking an experienced Data Engineering Lead to drive Process Intelligence initiatives with Celonis. You will stay hands-on, architect data pipelines, and mentor a team of engineers delivering end-to-end Celonis-based solutions.

You will collaborate with stakeholders to translate requirements into technical specs, design data extraction and integration via connectors, optimize performance, and apply AI capabilities for process insights.

Qualifications

• 8+ years data engineering/analytics experience with SQL and relational databases.
• Experience leading a data engineering team independently in a contracting model.
• Strong understanding of Celonis ETL capabilities and data modeling.

Responsibilities

• Independently lead a data engineering team delivering Process Intelligence solutions using Celonis.
• Remain hands-on – develop and deploy Process Intelligence solutions alongside the team.
• Collaborate with stakeholders to gather requirements and translate them into technical specifications.
• Lead the setup of data extraction pipelines with both out-of-the-box connectors as well as building custom connectors.
• Strong working knowledge of Celonis ETL capabilities – Extraction, SQL Transformations, Data Pools and Data Jobs.
• Experience working with Vertica SQL to create custom activities in Celonis.
• Experience in optimizing the performance of data pipelines.
• Analyze process data to identify inefficiencies and recommend improvements.
• Allocate work, review deliverables, and mentor data engineers within the team.

Skills

Celonis

SQL

Data pipelines

PQL

PU functions

Knowledge Models

Views

Analysis

ML capabilities

ERP systems

Education

BE/BTech / MS / MTech in CS/Math/Physics

Tools

Vertica SQL

Custom connectors

Job description

• Independently lead a data engineering team delivering Process Intelligence solutions using Celonis.
• Remain hands‑on – develop and deploy Process Intelligence solutions alongside the team.
• Collaborate with stakeholders to gather requirements and translate them into technical specifications.
• Lead the setup of data extraction pipelines with both out-of-the-box connectors as well as building custom connectors.
• Strong working knowledge of Celonis ETL capabilities – Extraction, SQL Transformations, Data Pools and Data Jobs.
• Experience working with Vertica SQL to create custom activities in Celonis.
• Experience in optimizing the performance of data pipelines.
• Analyze process data to identify inefficiencies and recommend improvements.
• Allocate work, review deliverables, and mentor data engineers within the team.

Technical Qualifications / Skills

• Strong working knowledge of Knowledge Models, Views, Analysis.
• Strong working knowledge of Celonis front end functions – PQL, PU functions.
• Develop the integration of Process Intelligence tools with existing systems.
• Serve as a liaison for the business analyst, project manager and client.
• Lead discussions on operationalization of Celonis through usage of Action Flows, Action Views and Machine Learning capabilities.
• Well versed with latest AI capabilities for Process Intelligence in Celonis.
• Keen learner and up to date with latest capabilities of Celonis.

Business / Soft skills Qualifications / Skills

• Understanding the business requirements thoroughly to identify the technical requirements.
• Taking Initiative (Resourcefulness) and asking clarifying questions to ensure the build is robust and designed on best practices.
• Focusing on Performance (Ensures Accountability, Delivers consistent results).
• Ensures sufficient unit testing before releasing the build for functional testing.
• Ability to lead a team independently in a contracting model with minimal onboarding ramp-up.
• Must have a minimum of 8+ years Data Engineer/analytics, Experience in working SQL and relational databases, query authoring (SQL).
• Demonstrated experience independently leading a data engineering team.
• Previous work experience in ERP (SAP ECC / S4 HANA / Oracle Cloud / Oracle EBS R12) with strong process understanding knowledge.

Preferred qualifications

• BE/BTech (or MS/MTech) degree or equivalent, Computer Science/ Mathematics/ Physics or related.
• Strong communications skills to enable interaction with all levels and departments within the organization.
• Proven analytic skills, including mining, evaluation, analysis, and visualization.