Sport Alliance GmbH

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

Germany remote Mid Salary not listed
remote Mid level Technology & IT Curated
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About the role

Join Sport Alliance and shape the data foundation behind Magicline and Finion, used by thousands of fitness businesses and more than 10 million members. You'll own the modelling layer that powers analytics, operations and AI across the business.

You'll join an AI-first data team where LLMs and internal tools are part of how we work. Whether you're an experienced Analytics or Data Engineer or a strong mid-level engineer ready for more ownership, we'd love to hear from you.

Your position in our team

Own the full journey from raw data to business impact: from ingestion and dbt models on AWS to the insights, metrics and AI use cases that run on top of them across thousands of studios.

Design clean, scalable and reliable data models that both people and AI systems can confidently build on.

Make data quality part of the architecture through testing, documentation, lineage and governance.

Partner with Data Engineering on ingestion and pipelines to ensure your models are built on fresh, dependable data.

Work closely with Product, Engineering and Finance to turn ambiguous business questions into useful, maintainable data products.

Build with AI at the core: use AI-assisted tooling in your daily workflow, and make our data AI-ready (clear semantics, documentation, lineage) so agents and ML models can use it reliably.

Grow into financial reporting for Finion Capital, working alongside experienced finance specialists.

Your profile

3+ years of experience in Analytics Engineering, Data Engineering or a similar role, ideally with a strong focus on data warehousing.

Strong SQL skills and hands-on experience with dbt and a cloud data warehouse.

A solid understanding of data modelling concepts such as dimensional modelling, slowly changing dimensions and incremental patterns — or the motivation to deepen that expertise quickly.

Practical Python skills for data work.

Confidence working with AI-assisted tools, paired with the judgment to review, validate and improve their output.

A systematic approach to debugging complex data issues and solving them at the root cause.

English at C1 level or above, both written and spoken.

Most importantly: the curiosity and ownership mindset to improve how data is modelled, trusted and used across the business.

Nice to have

Experience with financial, payments or regulated reporting data.

German language skills.

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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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis Finance MySQL Operations Python Mid level

Likely questions

  1. Tell us about work you have done that is close to the AI-First Analytics Engineer (m/f/d) role.
  2. How would you approach your first 30 days at Sport Alliance GmbH?
  3. Which of Data Analysis, Finance and MySQL have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Finance and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the AI-First Analytics Engineer (m/f/d) role because I can bring practical experience in Data Analysis, Finance and MySQL, learn the team quickly, and contribute to the outcomes Sport Alliance GmbH needs from this hire.

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