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Salary
$33k – $81k per year (Estimated)
Location
Remote/Hybrid (Bengaluru, India)
Seniority
Staff · 10+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Celonis is a global enterprise software leader pioneering process mining and execution management technologies. Its platform extracts data from underlying enterprise IT systems to visualize, analyze, and optimize business operations in real time. By identifying operational bottlenecks and inefficiencies, Celonis helps organizations enhance performance across finance, supply chain, customer service, and procurement.

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model - which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.

The Team:

The Data Analytics and Transformation team encompasses the Data Engineering, Semantics, Data Science, Strategic Intelligence and Business Transformation functions. The team provides analytic support and a strategic perspective to the different business functions within Celonis to enable them to make evidence-based decisions. We deliver actionable insights by collecting, organizing and interpreting data about user journeys, product telemetry, incidents, infrastructure utilization, sales motions, and everything else happening in Celonis. We transform data into analytic assets by conducting exploratory analysis, identifying outliers, validating hypotheses, building statistical models, quantifying risk; communicating findings through well crafted stories and critical recommendations.

The Role:

As a Staff Data Engineer in the Data Analytics and Transformation team, you will play a key role in defining and building the analytic infrastructure that will enable strategic and tactical decision making in a hyper growth environment. As one of the most senior technical experts on the team, you will provide technical leadership to design, build and maintain a data ecosystem for analytic needs. You will spearhed the implementation of the Celonis Digital Twin and build the data foundation for human and agentic decision making. In this exciting role, in addition to defining and creating the analytic infrastructure, you will also need to facilitate data driven discussions between stakeholders across the organization, through effective storytelling with meaningful insight.

The work you'll do:

  • Engage with stakeholders from product, engineering, and GTM teams to understand the analytic needs, identify the underlying data engineering requirements and help build the core technical foundations needed to support Celonis analytics.
  • Design, build and maintain resilient data infrastructure that gathers data from a variety of sources - enterprise systems, communication tools, product telemetry and observability systems. Ensure the continuous and reliable flow of data needed to support all the product analytics activities.
  • Build a scalable platform which can support Celonis as a Digital Twin and apply the Celonis Solutions internally to "Drink your own Champagne"
  • Continuously engage in refining data engineering processes to ensure data accuracy, consistency, and integrity through continuous audit and review
  • Conduct in-depth analytic investigations to find answers to business questions or support making the case for product and/or engineering ideas

    The qualifications you need:

    • Bachelor's degree or equivalent with a strong focus on Mathematics, Computer Science, or Data Science. Master's or PhD preferred.
    • 10+ years relevant experience as an Analytics Engineer / Data Engineer or similar, partnering with product, engineering or growth teams at a Saas or enterprise software company
    • Experience with data engineering building analytic data repositories leveraging data sources from cloud billing, product telemetry and observability systems
    • Extensive experience building a scalable data stack within Databricks in an

      Enterprise Context.

    • Hands-on experience working with multi-cloud setup across GCP, AWS and Azure will be a huge plus.
    • Outcome-oriented with strong decision-making skills and the ability to prioritize multiple objectives while meeting aggressive deadlines.
    • Have excellent written and verbal communication skills; exceptional attention to detail.
    • Experience working in agile teams using collaboration software like Jira or similar.
    • Eager to work in a fast-growing organization with diverse and international teams spread across multiple locations

What Celonis can offer you:

  • Pioneer Innovation:Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
  • Ownership from Day 1:Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
  • Unrivaled Family Support:Benefit from our inclusive parental leave policy-24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
  • Work-Life Integration:Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
  • Continuous Growth:Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
  • Holistic Well-being:Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
  • Drive Sustainability:Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
  • Global Inclusion & Belonging:Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
  • Value-Driven Impact:Join a mission-led organization where our core values-Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future-drive every decision.

About Us:

Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand - turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.

Your Privacy:

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

Please be aware of common job offer scams, impersonators and frauds. Learn more here.

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