AI-First Data Engineer

🕒 July 16

🇵🇱 Poland – Remote

💵 zł24k - zł28k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sport Alliance GmbH

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

💼 Consulting

📣 Marketing

📦 Logistics

💰 Private Equity Round on 2021-08

Consulting • Marketing • Logistics

Sport Alliance GmbH is a leading provider of digital solutions for the fitness industry, specializing in gym and membership management software. The company transforms fitness and training operations by offering tailored solutions for various fitness facilities, from small gyms to large franchises across Europe. With their ecosystem of brands, including PerfectGym and Magicline, Sport Alliance delivers robust cloud-based management software and financial services to enhance the efficiency of fitness businesses globally.

📋 Description

• 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.

🎯 Requirements

• **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.

🏖️ Benefits

• **Benefits package** – private medical care and a sports card to support your health and well-being • **Access to Udemy Business** – boost your skills with thousands of high-quality online courses • **Flexible work model** – work fully remotely or combine it with on-site collaboration at our modern office in Warsaw • **Flexible Working Hours** – adjust your schedule to fit your lifestyle • **Unique experience in the Fitness and SaaS industry** – join a market-leading company in a dynamic, fast-growing industry • **International team** – work alongside talented colleagues from around the world in a diverse and inclusive environment • **Unforgettable company events** – take part in engaging team-building activities and memorable celebrations