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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 Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/ai-first-data-engineer-mfd-sport-alliance-gmbh
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