Data Engineer - Financial Data Platform

Celonis is the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms.
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience
Enterprise SaaS

Description For Data Engineer - Financial Data Platform

We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us.

The Financial Platform Group is part of our Data & Analytics org within Finance Planning and Analytics (FP&A). Our team acquires, processes, cleanses, and stores internal company data from multiple business systems in a central, cloud-based data environment. As a Data Engineer, you will work closely with a small, distributed team of Analysts, Analytics Engineers, and Data Engineers to develop, operate, and support our modern lakehouse data platform. This role offers the opportunity to design and implement scalable data infrastructure and pipelines to unlock insights from our data and power our Celonis Process Intelligence Platform.

As a Data Engineer on the Financial Data Platform team, your primary responsibility will be designing, building, and maintaining the data infrastructure that powers our Celonis Process Intelligence Platform. You will collaborate with a distributed group of Analysts, Analytics Engineers, and fellow Data Engineers to develop scalable, reliable data pipelines and processes that transform our internal company data into valuable insights. This role offers the opportunity to significantly impact our data architecture while continuously enhancing our modern data stack.

The work you'll do:

  • Develop and optimize data ingestion pipelines
  • Expand data coverage
  • Design scalable data processing jobs
  • Ensure data quality and observability
  • Build event-driven microservices
  • Collaborate with analytical stakeholders
  • Ensure data security and compliance
  • Monitor and troubleshoot pipelines
  • Adopt and implement new technologies

What Celonis Can Offer You:

  • The unique opportunity to work with industry-leading process mining technology
  • Investment in your personal growth and skill development
  • Great compensation and benefits packages
  • Physical and mental well-being support
  • A global and growing team of Celonauts from diverse backgrounds
  • An open-minded culture with innovative, autonomous teams
  • Business Resource Groups to help you feel connected, valued and seen
  • A clear set of company values that guide everything we do
Last updated 3 months ago

Responsibilities For Data Engineer - Financial Data Platform

  • Design, build, and maintain the data infrastructure that powers our Celonis Process Intelligence Platform
  • Develop and optimize data ingestion pipelines
  • Expand data coverage by integrating with APIs, databases, and custom sources
  • Design scalable data processing jobs
  • Ensure data quality and observability
  • Build event-driven microservices
  • Collaborate with analytical stakeholders
  • Ensure data security and compliance
  • Monitor and troubleshoot pipelines
  • Adopt and implement new technologies

Requirements For Data Engineer - Financial Data Platform

Python
  • Degree in Computer Science, Engineering, Informatics, or a related technical field
  • 3+ years of experience as a Data Engineer, designing and operating data infrastructure and pipelines in the cloud, preferably on AWS
  • Strong proficiency in object-oriented Python and SQL for data processing and pipeline development
  • Experience with data orchestration tools like Dagster, Airflow, Prefect, or Luigi
  • Familiarity with data lake and lakehouse technologies such as Apache Iceberg, Apache Spark, and AWS Services such as Athena, EMR, Glue, and S3
  • Exposure to stream processing and event-driven architectures using AWS Lambda or similar tools
  • Knowledge of data warehousing and modeling techniques, especially in Redshift. Data Vault 2.0 is a plus
  • Excellent problem-solving and communication skills, with the ability to translate business requirements into technical solutions
  • Passion for building scalable and reliable data systems to drive business impact

Benefits For Data Engineer - Financial Data Platform

Equity
Medical Insurance
Mental Health Assistance
Parental Leave
  • Investment in personal growth and skill development
  • Great compensation and benefits packages (equity, life insurance, time off, generous leave for new parents)
  • Physical and mental well-being support
  • Global and diverse team
  • Open-minded culture with innovative, autonomous teams
  • Business Resource Groups
  • Clear set of company values

Interested in this job?

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