{"id":79207,"title":"AI-First Analytics Engineer (m/f/d)","company":"Sport Alliance GmbH","city":null,"region":null,"location":"Remote (Germany)","work_model":"remote","employment_type":"full_time","employment":["full_time"],"roles":["data_science","analytics"],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-10-08T08:36:06.173000+00:00","tools":["SQL","dbt","Python","LLM","AWS"],"seniority":"mid","years_experience_min":3,"german_requirement":"preferred","german_level":"unspecified","english_requirement":"required","english_level":"C1","team_language":"unknown","confidence":0.7,"method":"rules","language_badge":"German a plus","language_evidence":"German language skills.","requirements_snippet":"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 …","url":"https://jobs.eu.lever.co/sportalliance/ccf8473a-406f-4e17-9749-b09bbd810859","source":"lever","agency":null,"description_text":"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.\nYou'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.\n\nYour position in our team\n•\nOwn 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.\n\n•\nDesign clean, scalable and reliable data models that both people and AI systems can confidently build on.\n\n•\nMake data quality part of the architecture through testing, documentation, lineage and governance.\n\n•\nPartner with Data Engineering on ingestion and pipelines to ensure your models are built on fresh, dependable data.\n\n•\nWork closely with Product, Engineering and Finance to turn ambiguous business questions into useful, maintainable data products.\n\n•\nBuild 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.\n\n•\nGrow into financial reporting for Finion Capital, working alongside experienced finance specialists.\n\nYour profile\n•\n3+ years of experience in Analytics Engineering, Data Engineering or a similar role, ideally with a strong focus on data warehousing.\n\n•\nStrong SQL skills and hands-on experience with dbt and a cloud data warehouse.\n\n•\nA solid understanding of data modelling concepts such as dimensional modelling, slowly changing dimensions and incremental patterns — or the motivation to deepen that expertise quickly.\n\n•\nPractical Python skills for data work.\n\n•\nConfidence working with AI-assisted tools, paired with the judgment to review, validate and improve their output.\n\n•\nA systematic approach to debugging complex data issues and solving them at the root cause.\n\n•\nEnglish at C1 level or above, both written and spoken.\n• Most importantly: the curiosity and ownership mindset to improve how data is modelled, trusted and used across the business.\n\nNice to have\n•\nExperience with financial, payments or regulated reporting data.\n\n•\nGerman language skills.\n\nYour salary\n• We offer a salary range of EUR 72,000 – EUR 82,000 per year.\n• Final compensation will be based on experience, skills, and overall fit for the role.\n\nYour benefits with us\n• 30 Days Annual Leave with a 5-day workweek– enjoy extra paid time off to rest, recharge, and balance your work and personal life\n• Flexible Work Model – 100% mobile work within Germany\n• 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!)\n• Access to Udemy – boost your skills with thousands of high-quality online courses\n• Deutschland Ticket Subsidy – commute affordably – we cover part of your ticket cost\n• Company Pension Scheme (bAV) – receive an above-average employer contribution in Germany or Austria\n• Flexible Working Hours – adjust your schedule to fit your lifestyle\n• Employee Discounts – access top deals in Germany and Austria via our benefits portal","responsibilities_text":null,"requirements_text":"•\n3+ years of experience in Analytics Engineering, Data Engineering or a similar role, ideally with a strong focus on data warehousing.\n•\nStrong SQL skills and hands-on experience with dbt and a cloud data warehouse.\n•\nA solid understanding of data modelling concepts such as dimensional modelling, slowly changing dimensions and incremental patterns — or the motivation to deepen that expertise quickly.\n•\nPractical Python skills for data work.\n•\nConfidence working with AI-assisted tools, paired with the judgment to review, validate and improve their output.\n•\nA systematic approach to debugging complex data issues and solving them at the root cause.\n•\nEnglish at C1 level or above, both written and spoken.\n• Most importantly: the curiosity and ownership mindset to improve how data is modelled, trusted and used across the business.\n•\nExperience with financial, payments or regulated reporting data.\n•\nGerman language skills.\nYour salary\n• We offer a salary range of EUR 72,000 – EUR 82,000 per year.\n• Final compensation will be based on experience, skills, and overall fit for the role.\nYour benefits with us\n• 30 Days Annual Leave with a 5-day workweek– enjoy extra paid time off to rest, recharge, and balance your work and personal life\n• Flexible Work Model – 100% mobile work within Germany\n• 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!)\n• Access to Udemy – boost your skills with thousands of high-quality online courses\n• Deutschland Ticket Subsidy – commute affordably – we cover part of your ticket cost\n• Company Pension Scheme (bAV) – receive an above-average employer contribution in Germany or Austria\n• Flexible Working Hours – adjust your schedule to fit your lifestyle\n• Employee Discounts – access top deals in Germany and Austria via our benefits portal","status":"open","duplicate_of":null,"first_seen":"2026-11-04T00:12:52.812806+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["SQL","dbt","Python","LLM","AWS"],"posting_language":"en","evidence":[{"language":"english","requirement":"required","quote":"English at C1 level or above, both written and spoken.","source":"rules"},{"language":"german","requirement":"preferred","quote":"German language skills.","source":"rules"}],"years_experience_max":null,"mobility_evidence":[],"model_version":"rules-8","english_badge":"English required (C1)","company_id":1636}