AI-First Data Engineer

Sport Alliance GmbH

AI Engineer role at Sport Alliance building data platform supporting thousands of gyms and over 10 million members. Focused on data modeling, warehousing, and integration of AI tools.

Posted 7/16/2026full-timeRemote • 🇩🇪 GermanyMid-LevelSenior💰 €72,000 - €82,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and optimizing cloud-native data pipelines on AWS, with a strong focus on data engineering, data warehousing, and AI tooling integration. Proficient in data architecture and modeling principles, ensuring data reliability and governance in analytics and operational use cases.

Highest-signal resume keywords

Data EngineeringSQLPythonDbtData Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data WarehousingETLELTData ModelingDimensional ModelingIncremental PatternsDebuggingData GovernanceData LineageData Mesh Patterns

Soft Skills

JudgmentCollaborationCommunication

Tools & Technologies

AWSAuroraRedshiftSparkEMRAirflowDynamoDBMongoDB

Industry Keywords

AIMLFinancial ReportingRegulatory ReportingAuditability

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSCloudDynamoDBETLMongoDBPythonSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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% remote 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