Data Analytics Engineer (all genders)

You serve as the link between raw data and real business impact. You build and maintain scalable data pipelines, develop powerfull data models, and ensure our data is reliable, clean, and accessible - empowering every team in the organization to make smarter, data-driven decisions., * You collaborate with different teams and stakeholders to enable data-driven decision-making in the organization

• You develop advanced data models in SQL/ Python, add new data sources, and enable other teams to turn those data products into insights, analyses, and dashboards
• You own our core data pipelines end-to-end, from ingestion in our data warehouse to consumption in a dashboard or data product (Airflow, k8s, AWS QuickSight, Claude)
• You enable our stakeholders to answer straightforward questions themselves via self-service tools (e.g., AWS QuickSight)
• You perform ad-hoc analyses to answer business questions or generate data sets
• Improvement of event tracking in close cooperation with product management, as well as collection and measurement of relevant data
• You´ll train our LLM and build pipelines to assist our teams and customers, * Communication at eye level, a feedback and error culture with regular feedback meetings and, most importantly, respectful interaction at all times!
• A lot of room for creativity and not only the possibility, but also the clear expectation to contribute yourself and your ideas at any time.
• International and dynamic work environment and with the backing of leading industry partners with long-term secured financing and permanent employment contracts

Flexibility, Remote Policy & Hybrid Model:

• Work from Anywhere - work 6 weeks a year from anywhere in the world.
• With a mix of onsite days and remote work, we offer you the opportunity to work flexibly

Team, Benefits & Employee Development:

• Language courses, further education budget, leadership training and other internal development opportunities
• Regular company events such as wine and beer tastings, game nights or boat trips as well as budget for team events
• Benefit packages: Mobility, sports or rather shopping - with us you can spend €50 per month in the way that suits you and your preferences best.

Well-being, Health & Retirement:

• Employee Assistance Programme: Our external employee counselling service supports you 24/7 on topics such as legal advice, (mental) health or family.
• Company pension scheme: If you are already thinking further ahead, we support your pension scheme in the form of individual advice and an allowance.
• Cereal bar, drinks, fruit and weekly company lunch or finger food

Do you have experience in Tableau?, Do you have a Master’s degree?, * You have several years of experience in data modeling and/or as a data engineer

• You are experienced in advanced data modeling
• You work with GitHub/ git version control on a daily base
• You have experience with Python, git version control, Docker, ML (and LLMs), and a good understanding of Apache Airflow is a big plus
• You get involved early in business-specific discussions with the stakeholders and understand the requirements
• You have been working with data exploration and visualization tools such as AWS QuickSight, Metabase, Looker, or Tableau
• You have knowledge in ML and gained first knowledge of training and prompting LLMs
• You are the bridge between the teams, organising, defining & translating the requirements of event collection and quality
• You are structured at work, able to handle and prioritise your tasks well in a dynamic environment
• You can communicate complex problems with technical and business stakeholders in a simple manner