BiLLWERK is looking for a Data Engineer who wants to work in a high growth international environment with a world class team. BiLLWERK is a fast-growing company and having proven our ability to attract and retain customers we are now at the exciting phase of scaling up all aspects of the company as we look to expand into new product lines and enter new markets. What part you will play? We are searching for a highly motivated and skilled Data Engineer to play a pivotal role in shaping our Data & Analytics strategy In this role, you will collaborate with all parts of our data ecosystem and have the opportunity to lead key projects. You will work closely with cross-functional teams, particularly the product team, to drive innovation and foster data literacy across the company. Your key tasks will include: Upgrading our Data Lake by implementing a new Data Catalog. Developing and optimizing real-time Data Streaming to support better decision-making. Enhancing our Analytics Stack with new features and capabilities. Supporting our Analytics Engineer with GenAI initiatives and innovations. This is an exceptional opportunity to make a significant impact on our product and technology roadmap What do we require from you? Data Platform & Pipeline Management Collaborate with the data engineering team to upgrade our company-wide DataLake ( AWS, Snowflake ). Get involved in all steps of the data lifecycle, including ingestion, processing, and serving. Design and implement data models and pipelines on various technologies ( Kafka, AWS Glue, dbt ). Take responsibility on all the dimension of the infrastructure, also including monitoring, testing and updating to new technologies. Collaboration & Cross-Team Initiatives DevOPS Integration & Best Practices Work closely with the product team to refine our product offering and drive innovation. Help drive data literacy across the company through close collaboration and communication with stakeholders. Partner with the DevOps teams to bring your solutions into production ( Terraform, DataOps, CI/CD ). Implement best development practices, including testing, live monitoring, continuous integration, code deployment, and end-to-end automation. ML & Analytics Projects Assist with the development and operationalization of machine learning projects, such as churn prediction and GenAI solutions. Work with the Analytics Engineer to apply cutting-edge tools for customer analytics, predictive modeling, and journey analysis. Preferred Skills & Experience: Entrepreneurship mindset and experiences working in a dynamic environment. Experience or aspirations in data architecture. Basic knowledge of data governance. Experience with data cataloguing and other data lake components. Experience with end-to-end ML tools and a strong interest in generative AI and LLMs. What We Offer You Impact : The chance to make a lasting contribution to the pioneer and driver of the European Subscription Economy. Flexibility : Choice of office locations or remote working. A modern corporate culture with a focus on work-life balance, flexible working hours, and a generous holiday policy. Professional Growth : Opportunities for personal and professional development with room for manoeuvre to develop optimally. Engagement : Your opinion matters – take responsibility, show initiative, and have your input valued. Environment : A trust-based environment with short communication and decision-making paths, and a strong team spirit. Compensation : A salary strongly correlated to your performance and commitment. What We Value at BiLLWERK Curiosity : Seek out opportunities to learn and don’t be afraid to ask questions. Ownership : Be the driver and take accountability. Adaptability : Embrace change in the ever-evolving technology landscape. Engagement : Share your passion for technology with colleagues and collaborators. A degree in Data Science, Computer Science, or a related field. Proven experience in data engineering or a related software development role. Extensive understanding of the modern data stack and broad knowledge of the cloud ecosystem. Experience with technologies such as Python, SQL, AWS, Snowflake, Java, and Terraform. Knowledge of streaming technology is a plus (Kafka, Debezium, Kinesis). Familiarity with cloud native computing. Experience with CI/CD. Knowledge of Agile/Scrum or Kanban lean principles. Proficiency with version control and knowledge sharing tools (e.g., Git, Jira, Confluence, or equivalent systems). Strong communication skills and the ability to collaborate effectively in a remote team environment. Proficiency in English.
