Workflow Engineer

vor 5 Monaten


Berlin, Deutschland PAIR Finance Vollzeit

Are you ready to change the market?

We are a product company developing a multi-national debt collection platform using Ruby on Rails, VueJS, running on AWS. Our Data and Behavioral Science teams utilize purpose-built Python tools to analyze and enrich our data. Our company has experienced significant growth and we need to improve our infrastructure, processes and policies to form a reliable foundation for further growth.

As a Workflow Engineer, you will be responsible for the dataflow of our platform which is helping us to communicate with our customers. Our Workflow Engineers map the entire journey of a debtor from the beginning to the end via workflows, built in-house, to control and automate what happens in different types of scenarios.

To further improve our smart customer communication strategy and optimize its workflows, we are looking for a willing to learn, curious, and solution oriented Workflow Engineer to join our Behavioral Science team. This is a great opportunity to start your career in a fast growing dynamic environment with a strong team.

What you can do with us:

Design, optimization and maintenance of existing workflow structure in our innovative AI-powered app Create workflow extensions and new workflows to make customer communication more efficient Further develop the current product together with the Behavioural Science team which is part of the AI team Analyze workflow performance through tools like Grafana Use Python to debug and analyze data flowing through our workflows Communicate with other team to clarify technical and other work-related details This position has a lot to do with communication and stakeholder management, prioritisation and managing several projects and tasks at once, finding solutions that are based on analysis and logic, collaboration with other teams, and also partly with AI and Python.

What you should bring for it:

Successfully completed studies in the area of Math, Computer Science, Business Intelligence, or similar Good understanding of Python (Pandas and Numpy) and SQL Some experience in working on data flow management, data analysis, project or process optimisation management or in a similar field Analytical and solution oriented mindset and strong logical thinking skills Ability to work on several projects simultaneously Strong communication skills and a precise, structured way of working Technical affinity, as well as a quick grasp of new things Excellent English language skills, German is a plus You have to be based in Berlin, Germany or must be willing to relocate on your own with a work allowance for Germany already at hand.

Our offer for you:

Join a thriving, financially stable company Challenging, varied tasks for your steep learning curve as well as your impact to our mission International team of 30+ nationalities with professionals and experts Flat hierarchy, transparent and appreciative feedback culture, monthly all hands meetings, annual feedback and evaluation cycle, regular 1-on-1s with your lead Well-structured onboarding process as well as supportive and welcoming colleagues Personal learning & development budget as well as German language courses Good salary for your strong performance Unlimited employment contract, flexible working hours and 28 vacation days for your work-life balance Company pension plan, partly covered Deutschlandticket (public transport) and access to “Corporate Benefits”-voucher plattform to ensure your full well-being Fun company summer and Christmas parties as well as regular team events This role is based in Berlin, and we have a hybrid working policy. Modern office near Zoologischer Garten is complete with fresh fruits, muesli and drinks for a comfortable and enjoyable workplace Transparency, Execution, Ownership, Customer Centricity, Innovation, and Integrity are important to us, and we at PAIR Finance embody these values. Do you find yourself in these values? Then become part of our team and complement us with your individual motivation and character
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