Asset Developer Germany

Do you want to play a key role in building a modern data platform that enables analytics and AI at enterprise scale? We are looking for a Senior Data Engineer with deep Databricks expertise to join a high-performing platform team. This is an opportunity to combine hands-on engineering with platform development, architecture, and technical enablement in an environment where you'll have a real impact on both technology and ways of working. About the Role As part of a central platform team, you will help build and evolve a modern cloud-based data platform used by multiple development teams. This is not a traditional Data Engineer role focused solely on pipelines—you will contribute to creating reusable frameworks, improving the developer experience, and enabling other teams to succeed. Your responsibilities will include: Developing and improving data ingestion and data product frameworks. Designing and implementing scalable data governance and access control using Unity Catalog. Acting as the go-to Databricks expert, supporting and coaching development teams. Evaluating and introducing new Databricks capabilities to continuously improve the platform. Contributing to a scalable, secure, and user-friendly platform for data, analytics, and AI. We Believe You Have Several years of experience working as a Data Engineer with Databricks in production environments. Strong expertise in Apache Spark, Python, and SQL. Experience with Unity Catalog, data governance, and modern data platform architecture. A background in building reusable frameworks and platform components. The ability to collaborate with engineers, architects, and stakeholders across different teams. Strong communication skills and a passion for knowledge sharing and technical coaching. Experience with AWS, CI/CD, Databricks Asset Bundles, Lakeflow, Auto Loader, and Databricks certifications is considered an advantage. Who You Are You're a collaborative and curious engineer who enjoys solving complex technical challenges while helping others succeed. You take ownership, think long-term, and thrive in environments where you can influence both technical direction and engineering practices. What We Offer A key role in shaping a modern enterprise data platform. The opportunity to work with the latest technologies in Databricks, cloud, data engineering, and AI. A collaborative environment with highly skilled colleagues and short decision-making paths. Significant technical ownership and the opportunity to make a lasting impact. Interested in learning more? Get in touch with us. We'd love to hear from you and tell you more about the opportunity to join an organization where technology, continuous learning, and innovation are at the heart of everything we do. This recruitment is managed by EdZa Group. If you have any questions about the role or the recruitment process, please don't hesitate to contact tyra.nguyen@edzagroup.se.

What will you do? As a Data Engineer at Rebtel, you will do more than build pipelines; you'll help shape the future of our data platform and influence how data is used across the company. At Rebtel, data sits at the heart of how we build products, understand customers, optimize growth, and make decisions. This is a hands-on engineering role with significant ownership. You'll work across our modern data stack, build scalable data products, and help define the architecture that supports analytics, automation, and future AI initiatives. If you're excited by clean architecture, modern data engineering practices, and solving meaningful business problems at scale; if you care about data quality and believe trust in data is built through engineering discipline; if you enjoy solving complex problems and turning ambiguity into practical solutions; and if you're excited to experiment with new technologies and approaches, we'd love to talk. Areas of ownership: Design, build, and maintain scalable, reliable data pipelines that power our Snowflake data platform Integrate data from a wide range of business and product systems Enable data activation across customer-facing and operational platforms, including CRM, customer support, and marketing tools Develop robust monitoring, alerting, and observability practices to ensure platform reliability Troubleshoot, optimize, and continuously improve data workflows and platform performance Design and implement scalable ELT workflows using modern data engineering practices Build well-structured dimensional models (facts and dimensions) that enable self-service analytics and reporting Implement automated testing and quality controls throughout the data lifecycle Ensure data is accurate, accessible, and trusted across the organization Work closely with analysts, product managers, engineers, marketers, and business stakeholders to understand data needs and deliver impactful solutions Help translate complex business challenges into scalable data products and datasets Support decision-making by making data easier to discover, understand, and use Evaluate emerging technologies, frameworks, and industry best practices Run proof-of-concepts and contribute to strategic technology decisions Help define the future architecture of Rebtel's data platform Continuously improve engineering standards, tooling, and developer experience Requirements: You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office 3+ years of experience in Data Engineering or a similar role Strong SQL skills and experience building production-grade data pipelines Experience with modern ELT methodologies and data warehousing concepts Experience integrating data from multiple systems and sources Experience with dbt, Python, AWS, or similar cloud-based data platforms Strong understanding of data modeling and analytics engineering best practices Ability to operate independently and take ownership of technical solutions Experience working in fast-growing technology or digital product companies is a plus It's a bonus if you've been exposured to customer analytics, marketing analytics, experimentation, or machine learning workflows Experience with BI tools such as Looker, Tableau, or Power BI is a plus It's a plus with a degree in Computer Science, Engineering, Mathematics, or a related field Why Rebtel? Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next. This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide. At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us: Pension Plan Health Checkups, Influenza shots and Private Medical Insurance Dental Insurance Occupational insurance Wellness allowance (5,000 SEK) Discount on gym memberships Bonus program Extra parental pay 30 days annual vacation Monday breakfasts Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition. We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.