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AI-First Data Engineer (m/f/d)

📅 Jul 16
📍 🇩🇪 Germany - Remote🎹 Mid-level🤖 AI Engineer📢 🇩🇪 German Required💼 Full-Time
AWSETLELTDbt
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📜 Description

  • Build and optimize cloud-native data pipelines on AWS using AI tooling.
  • Design and evolve data models for analytics and AI/ML across studios.
  • Embed governance, testing, and lineage to ensure data trustworthiness.
  • Collaborate with product and engineering teams to create robust data solutions.
  • Evaluate new approaches and tools for data management.

🛠️ Requirements

  • 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).

✨ Benefits

  • 30 Days Annual Leave with a 5-day workweek.
  • Flexible Work Model – 100% mobile work within Germany.
  • Fitness & Well-being program options.
  • Access to Udemy for online courses.
  • Deutschland Ticket Subsidy for commuting costs.
  • Company Pension Scheme with above-average contributions.
  • Flexible Working Hours to fit your lifestyle.
  • Employee Discounts via benefits portal.
Full job description

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
    • Apply Now

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