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

Sport Alliance GmbH; Deutschland; On-site; EUR 72,000 - 82,000; Full time

Benefits offered by this job

30 Days Annual Leave

Flexible Work Model – 100% mobile work

Fitness & Well-being options

Udemy access

Germany Deutschland Ticket subsidy

Company Pension Scheme

Flexible Working Hours

Employee Discounts

Job summary

Sport Alliance, a data-driven team powering analytics for thousands of studios, seeks an Analytics/Data Engineer to own end-to-end data modelling and warehousing. You will build robust data models and pipelines on AWS, enabling BI, analytics, and AI use cases across the business.

The role focuses on data quality, governance, and collaboration with Product, Engineering and Finance. German language is a nice-to-have, with a competitive salary and remote-friendly setup within Germany.

Qualifications

• 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.
• Solid understanding of data modelling concepts such as dimensional modelling, slowly changing dimensions and incremental patterns.
• 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.
• Curiosity and ownership mindset to improve how data is modelled, trusted and used across the business.

Responsibilities

• Own the full journey from raw data to business impact: from ingestion and dbt models on AWS to 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 models are built on fresh, dependable data.
• Work 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 daily workflow, ensure data is AI-ready for agents and ML models.
• Grow into financial reporting for Finion Capital, working with experienced finance specialists.

Skills

Analytics Engineering

SQL

dbt

Python

Cloud data warehouse

AI tooling

English (C1)

Tools

dbt

SQL

Python

AWS

Job description

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