Process Mining Data Engineer
Wrocław, PL
MAHLE
MAHLE is a leading international development partner and supplier to the automotive industry as well as a pioneer for the mobility of the future.Your Contribution
- Look for opportunities to help business teams get more out of Celonis by being inquisitive and suggest new ideas
- 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.)
- Monitor the overall performance and stability of data pipelines
- Perform data transformations, develop analyses, and derive business cases.
- Knowledge Models, Views, Analysis Creation, PQL
- 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.
Your Experience & Qualifications
- Technical proficiency in backend technical architecture using Celonis
- Proficiency with SQL, PQL, Celonis analyses development, and SAP
- Certifications: Celonis data analyst and data engineer certification, or equivalent experience
- 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
- Well-organized with excellent communication and reporting skills, especially in presentations, based on audience
- Good experience in the following methodology like Agile, DevOps, and ITIL
- Fluent in English
Closing date for applications is 28th February 2025
Our Offering
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Attractive salary package (incl. private medical care, Multisport, group insurance, Edenred prepaid cards)
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Becoming a member of a fast-growing team in an innovative company with stable market position
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Possibility to work for a well-known brand, a leader in Automotive industry whose products are highly recognized worldwide
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Relocation bonus for candidates who are based more than 100 km from Wrocław
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Online foreign language courses
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Referral bonus program
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Flexible work schedule and possible working from home solution (home office)
We will provide a collaborative environment working on exciting assignments, along with personal & career development opportunities.
We encourage you to apply if it feels like a good fit for you or to review our other openings. You may just be the right candidate for this or other role.
After inviting you to the recruitment process, the next step will typically be a screening call followed by video or personal interview(s).
For more information about MAHLE and what a career with us looks like for you, click here and to learn more about our foundation owned technology group click here.
#TeamMAHLE is diverse – and we see that as a great advantage! We welcome applications with diverse experiences, backgrounds, and identities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Data analysis Data pipelines Data warehouse DevOps Engineering ETL ITIL KPIs Machine Learning Pipelines SQL
Perks/benefits: Career development Flex hours Health care Relocation support
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