Join Sport Alliance and help build the data platform behind Magicline and Finion, serving thousands of gyms and 10M+ members. You'll tackle real engineering challenges, from high-volume data modeling and cost-efficient warehousing to freshness trade-offs and financial data that has to be exactly right. We're building an AI-first data team. We use cutting-edge LLMs and internal tools to work faster, and we expect you to use and improve them. The platform you build powers our AI and analytics, making clean, reliable, well-modeled data essential. Whether you're an experienced engineer ready to own the platform or a strong mid-level engineer eager to grow into the role, we'd love to hear from you. ### Your position in our team - Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow. - Design and evolve the data models that power analytics, operational use cases, and AI/ML across thousands of studios. - Help raise the bar on data reliability — embed governance, testing, and lineage so both people and AI systems can trust the numbers by default. - Partner with product, and other engineering teams to turn ambiguous business problems into robust data solutions. - Evaluate and evolve new approaches with us — data mesh patterns, and emerging AI tooling — and help decide what genuinely earns a place in our stack. - Grow into our financial and regulatory reporting workstream (Finion Capital), where correctness and auditability matter most. ### Your profile - 3+ years in data engineering with a focus on data warehousing — and the appetite to take on more ownership than you've held so far. - Strong SQL and Python for data work. - Working with AI tools feels natural to you — and, just as important, the judgment to review and validate what they produce. You treat AI output as a draft to verify, not an answer to trust, especially where correctness is non-negotiable. - A solid grasp of data architecture and modeling principles (dimensional modeling, slowly-changing dimensions, incremental patterns) — or the drive to deepen it fast. - Hands-on experience with dbt on a cloud warehouse — this is where you'll live day to day. - Working knowledge of relational and some exposure to non-relational Databases (DynamoDB, MongoDB). - A track record of debugging tricky data issues and shipping durable fixes. - Excellent written and verbal English. ### Nice to have - AWS experience (Redshift, EMR, Glue, S3, IAM); experience with GCP or Azure is also welcome. - Streaming/CDC technologies (Kafka, Kinesis, Debezium) or data mesh. - Experience building data pipelines for ML or AI systems. - Exposure to financial, payments, or regulated reporting data. - German (helpful for some stakeholder work, but not required). ### Your salary - We offer a salary range of EUR 72,000 – EUR 82,000 per year. - Final compensation will be based on experience, skills, and overall fit for the role. ### Your benefits with us - 30 Days Annual Leave with a 5-day workweek– enjoy extra paid time off to rest, recharge, and balance your work and personal life - Flexible Work Model – 100% remote work within Germany - Fitness & Well-being (Choose 1 of 2): Stay active your way! Choose either our free Move Republic Program to earn points for rewards, OR join EGYM Wellpass for just a €20/month co-pay to access a massive network of gyms, pools, and studios (we cover the rest!) - Access to Udemy – boost your skills with thousands of high-quality online courses - Deutschland Ticket Subsidy – commute affordably – we cover part of your ticket cost - Company Pension Scheme (bAV) – receive an above-average employer contribution in Germany or Austria - Flexible Working Hours – adjust your schedule to fit your lifestyle - Employee Discounts – access top deals in Germany and Austria via our benefits portal