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AI-First Data Engineer (m/f/d) at Sport Alliance GmbH. Location Information: . 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 PLN 24,000 – PLN 28,000 gross per month (UoP).. . Final compensation will be based on experience, skills, and overall fit for the role. . . Your benefits with us . . . . Benefits package. – private medical care and a sports card to support your health and well-being. . . . Access to Udemy Business. – boost your skills with thousands of high-quality online courses. . . . Flexible work model. – work fully remotely or combine it with on-site collaboration at our modern office in Warsaw. . . . Flexible Working Hours. – adjust your schedule to fit your lifestyle. . . . Unique experience in the Fitness and SaaS industry. – join a market-leading company in a dynamic, fast-growing industry. . . . International team. – work alongside talented colleagues from around the world in a diverse and inclusive environment. . . . Unforgettable company events. – take part in engaging team-building activities and memorable celebrations. . .