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% mobile 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
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