Data Engineer (Process Mining) | f/m/d

How you will get the job done

• Conduct technical implementation in Celonis, including data transformation and dashboard application development.
• Translate business needs into technical specifications and develop customer-specific process mining solutions for insurance processes.
• Act as a link between IT experts and business owners, working closely with them to understand business processes, goals, and underlying data.
• Solve machine learning and data challenges using Python and SQL to enable accurate visualization and analysis of internal processes in Celonis.
• Lead projects during the technical phase, covering project-management tasks and presenting status updates to management.

Skills and experience you will need

• Fluent English (C1).
• University degree in Computer Science, Information Systems Management, Business Informatics, Mathematics, Industrial Engineering, or comparable education.
• Experience in a common programming language, such as Python, Java, or C++, and familiarity with database technologies such as SQL.
• Experience with process-mining tools, such as Celonis, or with dashboards and analysis.
• Structured, independent, customer-oriented approach to work.
• Ability to convey complex contexts in a user-friendly manner.

Nice to have

• Good written and spoken German skills.

Perks & Benefits

Let's be healthy

• Medical package, sports card, and numerous sports sections to support employee wellbeing.

Let's be balanced

• Flexible working hours, a confidential employee assistance program, and remote-work options.
• In-office gaming room and dog-friendly office in Warsaw.

Let's be smart

• Workshops, training courses, hackathons, meetups, digital learning platforms, and language courses.

Let's be responsible

• Opportunities to participate in CSR activities with colleagues.

Let's be fun

• Company-wide bike races, soccer matches, film marathons in the cinema room, and team-building activities.

Let's be diverse

An inclusive environment where team members are valued regardless of gender, nationality, religious beliefs, disability, age, or sexual orientation or identity.

Qualifications, experience, and mindset are valued.