Data Engineering Lead

**Everything we do, starts with you.** Together with you, we build the most human-centric fintech. We have the ambition to create the next. And - with Bertelsmann - a strong foundation to start from. Let’s make it new - for society and for yourself. **We are looking for a** **Data Engineeing Lead (M/F/d)** **(unlimited) Choose one of our locations globally, with 80% Mobile Office: Oslo, Verl or Berlin** To lead our team of highly skilled Data Engineers and DataOps Engineers. The team is responsible for the architecture und implementation of our cloud based Data & Analytics Platform, providing and curating our company data across all units, especially for our Data Analyst, BI Analysts, and Data Scientists. In this role you will work extensively with data and technology in a variety of tools and methods. You should be analytical and a great communicator and leader. We expect you to be truly interested in data and love to work and wrangle with it. Ultimately, you will build our Riverty "Data Universe" in the cloud to help us make better decisions and become a more data-driven company. **What you are expected to do**: - As a lead of our team of data engineers, who are mainly based in Berlin, Oslo, Verl, and Baden-Baden, you will provide direction to the team to build our Riverty data eco-system. - You will help build and develop our Cloud Data & Analytics Platform in Azure and migrate and replace a variety of on-prem data stacks. - You develop your growing team to enable the individual team members to take next steps in their personal and professional development. - You align with your direct colleagues from Data Science, Data Analysis and BI Reporting, together with the business units (e.g. Buy-now-pay-later) and other functional units (e.g. Risk, Finance, Operations) on strategic priorities and translate those business needs into data solutions. - You are a contributor to the overall data strategy by driving initiatives to turn the strategy into action. - You collaborate with our data architects and data practitioners to define our Riverty Common Data Model and to implement our target data architecture. - You will champion data engineering best practices and design principles in our engineering teams, to ensure the prevention of architectural and technical debt. - You will setup a state-of-the-art DataOps framework. **What you should bring** - Proven experience in building cloud data platforms in at least one of the three hyperscalers, serving ML use cases, as well as BI reporting and Data Analysis use cases. - At least 3 years of disciplinary leadership experience in a data engineering function (or equivalent to), ideally in an international environment and in cross-functional agile teams. - Experience working in a large scale data environment with a high number and variety of data sources. - Years of hands-on experience in data pipeline development as a data engineer. - Solid expertise in data architecture and data governance. - Analytical mind with a problem-solving attitude. - Hands-on mentality and result-orientation. - English language is a must, German and Norwegian a plus. - M.Sc. In computer science, engineering or relevant field. **This would get us excited...** - Experience with financial industry, especially Debt Collection and Buy-now-pay-later. - Experience with Microsoft Azure ecosystem (data factory/databricks, synapse, purview, event hub Kafka, Azure DevOps, etc) - Experience in migrating on-prem data stacks into cloud. - Experience in setting up a data governance framework. - Background in ML architectures. - Experience in Data Analysis or Data Science. **Here we have a few arguments for you This is why you should join our great workforce** - At Riverty, we offer you modern workplace models with 80% Mobile Office. For more flexibility and freedom. - With us, life balance is not just something we claim, but something we live, and you can do the same in many European countries where we are operating. Riverty helps you to arrange your working life in the way that suits you best. Big city or small town? You can choose to work remotely and still stay connected with your team virtually. And if it gets too quiet at home, you can just drop by our tech hubs in Berlin and Tallinn, or any of our 13 locations across Europe. - At Riverty, we are as diverse as society itself. We have great people from more than 25 different countries around the world - creating the most human-centric fintech together. With us, you can be who you are. - Culture? Easy: Open and at eye level, trust instead of dislike, cooperation instead of lone warriors. You will work in cross-functional, agile, dynamic teams with a start-up spirit. At the same time, you will benefit from all the opportunities within the Bertelsmann Group. - Take time for yourself and your health. With sports and leisure activities we support your wellbeing. - We want to grow together. With trainings from the Riverty Academy and individual tr