Process Mining Data Engineer

Together, we move the world. As an international leading development partner and supplier to the automotive industry, we at MAHLE are passionate about developing innovative solutions for climate-neutral mobility of tomorrow. Our focus is on e-mobility and thermal management as well as further technology fields to reduce CO2 emissions, such as fuel cells or highly efficient, clean combustion engines that also run on hydrogen or synthetic fuels.

In 2023, the technology group with its approximately 72,500 employes, generated sales of just under EUR 13 billion and with its 148 production locations and 11 major research and development centers, is represented in 29 countries. Join our MAHLE team! #StrongerTogether

Data Engineer Tasks

• Look for opportunities to help business teams get more out of Celonis by being inquisitive and suggest new ideas
• 4 to 8 years with experience as a Process Analyst SME in any domain with at least 2-3 years of experience working on Celonis Customer project-based experience working as an Analyst or Data Engineer on Celonis implementations Celonis Analyst/ Data Engineer.
• Build and maintain data pipelines that are used to transport data from a data source to a data warehouse / data lake
• Work side by side with data scientists and other specialists in the Digital Automation Office team to build custom data pipelines for data analysis
• Work closely with the AI Solution Architect to design the architecture of a platform
• Analyze and organize raw data (both unstructured and structured data)
• Create transformation functions / jobs to transform raw data so it can be analyzed using analytics and process mining tools
• Work closely with business partners to understand their business requirements and where data fits in the entire data ecosystem for the organization
• Support data preparation activities for predictive and prescriptive modeling
• Participate in proof-of-concept activities to test new products related to data engineering (cloud data platforms, ETL tools, etc.)
• Lead data discovery and data exploration efforts of new data sources
• Recommend ways to improve data accuracy and quality
• Monitor the overall performance and stability of data pipelines

Developer Tasks

• Perform data transformations, develop analyses, and derive business cases.
• Knowledge Models, Views, Analysis Creation, PQL
• 3-4 years of experience with Object-Centric Process Mining, Data Model development, App development, Automation in Celonis
• Knowledge of real time business cases in Process Mining. Possesses knowledge over the Process Query Language (PQL) to build front end components to meet the requirements set by the business and create KPIs.
• Strong understanding of SQL. Ability to create SQL scripts (customized) that transform, create, and capture necessary fields from the source systems to accurately map out processes.

Technical

• Technical proficiency in backend technical architecture using Celonis.
• Proficiency with SQL, PQL, Celonis analyses development, and SAP
• 3+ years in Celonis value saving projects within a complex, global environment.
• Certifications: Celonis data analyst and data engineer certification, or equivalent experience
• Ability to demo and present results to business stakeholders.
• Working knowledge of AI/ML concepts and their potential applications in process mining.
• Proven problem-solving skills, business acumen and excellent oral and written communication skills
• Bachelor’s degree in computer science, Software Engineering, Information Technology, or equivalent experience

Language Skills:

• Fluent in English
• German is nice to have
• Spanish is nice to have
• Ability to write reports, business correspondence, and procedure manuals in English. 
• Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.

Experience:

• 4 - 8 years of experience
• Attending a college / university or comparable educational institution.
• Training in the following software programs is required: MS Office Products, Machine Learning, Process Mining, SAP.

   Do you have any questions?
     
   [[adriana.henriques@mahle.com]]